diff --git a/core-text-cls-us-accidents/10k/fold_0/README.md b/core-text-cls-us-accidents/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-us-accidents/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-us-accidents/10k/fold_0/adapter_config.json b/core-text-cls-us-accidents/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..e3ed4747bb8d5718f968c368aea5a29ea9a1d586
--- /dev/null
+++ b/core-text-cls-us-accidents/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-us-accidents/10k/fold_0/meta.json b/core-text-cls-us-accidents/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..4c5f8083ee07df87e93d4363f5a704649e6843ed
--- /dev/null
+++ b/core-text-cls-us-accidents/10k/fold_0/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "MUL_TEXT_US_ACCIDENTS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.52663254737854,
+  "epochs": 19.0,
+  "n_rows": 15000,
+  "n_inputs": 36788,
+  "n_columns": 44,
+  "features": [
+    "Airport_Code",
+    "City",
+    "County",
+    "Description",
+    "Street",
+    "Zipcode"
+  ],
+  "finetune_seconds": 1541.7035642520004,
+  "encode_seconds": {
+    "Airport_Code": 0.26443003400072485,
+    "City": 0.7035828050002237,
+    "County": 0.1998121100004937,
+    "Description": 3.7732665060002546,
+    "Street": 1.816920934999871,
+    "Zipcode": 2.04185600099936
+  },
+  "total_seconds": 1550.5034326430014,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 10:43:13",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-us-accidents/10k/fold_1/README.md b/core-text-cls-us-accidents/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-us-accidents/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-us-accidents/10k/fold_1/adapter_config.json b/core-text-cls-us-accidents/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2a51c7c52112fe00a3878d50de89c0eb9534cbcc
--- /dev/null
+++ b/core-text-cls-us-accidents/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-us-accidents/10k/fold_1/meta.json b/core-text-cls-us-accidents/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..e8c3cd9c6ac4232d3c0b7cae1b313c567d76c3fa
--- /dev/null
+++ b/core-text-cls-us-accidents/10k/fold_1/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "MUL_TEXT_US_ACCIDENTS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.5241580009460449,
+  "epochs": 25.0,
+  "n_rows": 15000,
+  "n_inputs": 36715,
+  "n_columns": 44,
+  "features": [
+    "Airport_Code",
+    "City",
+    "County",
+    "Description",
+    "Street",
+    "Zipcode"
+  ],
+  "finetune_seconds": 2026.368383694,
+  "encode_seconds": {
+    "Airport_Code": 0.2550805440005206,
+    "City": 0.6592865579987119,
+    "County": 0.19508812300045975,
+    "Description": 3.673625199999151,
+    "Street": 1.7925586769997608,
+    "Zipcode": 1.9704147370011924
+  },
+  "total_seconds": 2034.9144375329997,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 11:17:23",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-cls-us-accidents/10k/fold_4/README.md b/core-text-cls-us-accidents/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-cls-us-accidents/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-cls-us-accidents/10k/fold_4/adapter_config.json b/core-text-cls-us-accidents/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..6be23d89d9dc94b51c4ba585dca0efb25b1a09a3
--- /dev/null
+++ b/core-text-cls-us-accidents/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-cls-us-accidents/10k/fold_4/meta.json b/core-text-cls-us-accidents/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..0bdfc25bb5fc16a4e99ab7c88663faf632624471
--- /dev/null
+++ b/core-text-cls-us-accidents/10k/fold_4/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "MUL_TEXT_US_ACCIDENTS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.5164740681648254,
+  "epochs": 23.0,
+  "n_rows": 15000,
+  "n_inputs": 36754,
+  "n_columns": 44,
+  "features": [
+    "Airport_Code",
+    "City",
+    "County",
+    "Description",
+    "Street",
+    "Zipcode"
+  ],
+  "finetune_seconds": 1864.3275739170003,
+  "encode_seconds": {
+    "Airport_Code": 0.27576113199938845,
+    "City": 0.6930278470008489,
+    "County": 0.19508693700117874,
+    "Description": 3.6847300679983164,
+    "Street": 1.805622031999519,
+    "Zipcode": 2.0077795880006306
+  },
+  "total_seconds": 1872.9895815210002,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:32:57",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_0/README.md b/core-text-reg-babies-prices/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_0/adapter_config.json b/core-text-reg-babies-prices/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..74cb4dea788d40a5fa1f857d8b55cf470917f50d
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_0/meta.json b/core-text-reg-babies-prices/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..73a6298c639468ada4b2b27869073d0d8fcbefa8
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_0/meta.json
@@ -0,0 +1,57 @@
+{
+  "dataset": "REG_TEXT_BABIES_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 3390,
+  "n_test": 1695,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.358424186706543,
+  "epochs": 50.0,
+  "n_rows": 5085,
+  "n_inputs": 5519,
+  "n_columns": 12,
+  "features": [
+    "colors",
+    "company_free",
+    "company_struct",
+    "title"
+  ],
+  "finetune_seconds": 943.1860448549996,
+  "encode_seconds": {
+    "colors": 0.04122499799996149,
+    "company_free": 0.04460388099869306,
+    "company_struct": 0.07412684799965064,
+    "title": 1.1175987370006624
+  },
+  "total_seconds": 944.4635993189986,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 11:56:18",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_1/README.md b/core-text-reg-babies-prices/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_1/adapter_config.json b/core-text-reg-babies-prices/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..fe1cb6828d224e487542850277304174469a6748
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_1/meta.json b/core-text-reg-babies-prices/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7fe00c45d67c8f6e21bad66c66780628e951db11
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_1/meta.json
@@ -0,0 +1,57 @@
+{
+  "dataset": "REG_TEXT_BABIES_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 3390,
+  "n_test": 1695,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.4385294914245605,
+  "epochs": 50.0,
+  "n_rows": 5085,
+  "n_inputs": 5519,
+  "n_columns": 12,
+  "features": [
+    "colors",
+    "company_free",
+    "company_struct",
+    "title"
+  ],
+  "finetune_seconds": 943.1554250689987,
+  "encode_seconds": {
+    "colors": 0.04014272499989602,
+    "company_free": 0.04465483100102574,
+    "company_struct": 0.051544358999308315,
+    "title": 1.1166828339992207
+  },
+  "total_seconds": 944.4084498179982,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:12:16",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_2/README.md b/core-text-reg-babies-prices/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_2/adapter_config.json b/core-text-reg-babies-prices/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8265952b65c87191f0b3d8a323b37e92dd1c631c
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_2/meta.json b/core-text-reg-babies-prices/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..e835eaf2c2848b40a3a14fb40fd5c8c1bc0be0f0
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_2/meta.json
@@ -0,0 +1,57 @@
+{
+  "dataset": "REG_TEXT_BABIES_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 3390,
+  "n_test": 1695,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.4555938243865967,
+  "epochs": 50.0,
+  "n_rows": 5085,
+  "n_inputs": 5519,
+  "n_columns": 12,
+  "features": [
+    "colors",
+    "company_free",
+    "company_struct",
+    "title"
+  ],
+  "finetune_seconds": 943.1987849889993,
+  "encode_seconds": {
+    "colors": 0.04106228700038628,
+    "company_free": 0.0448264240003482,
+    "company_struct": 0.050999429000512464,
+    "title": 1.1179170809991774
+  },
+  "total_seconds": 944.4535902099997,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:28:14",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_3/README.md b/core-text-reg-babies-prices/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_3/adapter_config.json b/core-text-reg-babies-prices/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..356aa353f2e7e68d6aed70f2029e65c09954e9b9
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_3/meta.json b/core-text-reg-babies-prices/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..86607693fd72b73a14a38b4fc1ea15d5981676f1
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_3/meta.json
@@ -0,0 +1,57 @@
+{
+  "dataset": "REG_TEXT_BABIES_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 3390,
+  "n_test": 1695,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.5062172412872314,
+  "epochs": 50.0,
+  "n_rows": 5085,
+  "n_inputs": 5519,
+  "n_columns": 12,
+  "features": [
+    "colors",
+    "company_free",
+    "company_struct",
+    "title"
+  ],
+  "finetune_seconds": 943.0006699320002,
+  "encode_seconds": {
+    "colors": 0.041234740001527825,
+    "company_free": 0.04631671899915091,
+    "company_struct": 0.05147654800020973,
+    "title": 1.1097786859972985
+  },
+  "total_seconds": 944.2494766249984,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:44:11",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_4/README.md b/core-text-reg-babies-prices/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_4/adapter_config.json b/core-text-reg-babies-prices/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..cc791087810db5b9bd37f47b8d2ce73f2d075d3f
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_4/meta.json b/core-text-reg-babies-prices/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..66fa491bb0651f92c21ac13e4f812ec19ad49976
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_4/meta.json
@@ -0,0 +1,57 @@
+{
+  "dataset": "REG_TEXT_BABIES_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 3390,
+  "n_test": 1695,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.3690028190612793,
+  "epochs": 50.0,
+  "n_rows": 5085,
+  "n_inputs": 5519,
+  "n_columns": 12,
+  "features": [
+    "colors",
+    "company_free",
+    "company_struct",
+    "title"
+  ],
+  "finetune_seconds": 942.8251557920012,
+  "encode_seconds": {
+    "colors": 0.03967972000100417,
+    "company_free": 0.04446431399992434,
+    "company_struct": 0.0529481690027751,
+    "title": 1.1037969059980242
+  },
+  "total_seconds": 944.0660449010029,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:00:08",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_5/README.md b/core-text-reg-babies-prices/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_5/adapter_config.json b/core-text-reg-babies-prices/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..94a10b964b248c51d1b793987598690bd8e100db
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/core-text-reg-babies-prices/10k/fold_5/meta.json b/core-text-reg-babies-prices/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..eea9ecf560f7b155e9a5aae493c70884f5861548
--- /dev/null
+++ b/core-text-reg-babies-prices/10k/fold_5/meta.json
@@ -0,0 +1,57 @@
+{
+  "dataset": "REG_TEXT_BABIES_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 3390,
+  "n_test": 1695,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.404203176498413,
+  "epochs": 50.0,
+  "n_rows": 5085,
+  "n_inputs": 5519,
+  "n_columns": 12,
+  "features": [
+    "colors",
+    "company_free",
+    "company_struct",
+    "title"
+  ],
+  "finetune_seconds": 943.013945409999,
+  "encode_seconds": {
+    "colors": 0.040791658000671305,
+    "company_free": 0.04505703500035452,
+    "company_struct": 0.05439354600093793,
+    "title": 1.148928225000418
+  },
+  "total_seconds": 944.3031158740014,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:16:05",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_0/README.md b/extended-text-cls-american-eagle-prices/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_0/adapter_config.json b/extended-text-cls-american-eagle-prices/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c2ca029602a5c06591294db7d14ea3c8a22b7ff7
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_0/meta.json b/extended-text-cls-american-eagle-prices/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..cc94011e5a56d283b7d82444bcceecba6e6bcdce
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_0/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_AMERICAN_EAGLE_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.3411858081817627,
+  "epochs": 37.0,
+  "n_rows": 15000,
+  "n_inputs": 3497,
+  "n_columns": 13,
+  "features": [
+    "available_size",
+    "description",
+    "pdp_url",
+    "product_name",
+    "style_attributes"
+  ],
+  "finetune_seconds": 2502.6046140179997,
+  "encode_seconds": {
+    "available_size": 0.1711455740000929,
+    "description": 0.3438573720000022,
+    "pdp_url": 0.5440150329995959,
+    "product_name": 0.03304293900009725,
+    "style_attributes": 0.10068965300024502
+  },
+  "total_seconds": 2503.7973645889997,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:34:48",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_1/README.md b/extended-text-cls-american-eagle-prices/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_1/adapter_config.json b/extended-text-cls-american-eagle-prices/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7516baa408db4b3d6742ce42994ef86085c88031
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_1/meta.json b/extended-text-cls-american-eagle-prices/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..f3f011cbab2413be31669e13c887ee71d81b333f
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_1/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_AMERICAN_EAGLE_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.343779057264328,
+  "epochs": 16.0,
+  "n_rows": 15000,
+  "n_inputs": 3511,
+  "n_columns": 13,
+  "features": [
+    "available_size",
+    "description",
+    "pdp_url",
+    "product_name",
+    "style_attributes"
+  ],
+  "finetune_seconds": 1082.03903244,
+  "encode_seconds": {
+    "available_size": 0.16740794199995435,
+    "description": 0.349013312000352,
+    "pdp_url": 0.5031214649998219,
+    "product_name": 0.03277187000003323,
+    "style_attributes": 0.09715847899997243
+  },
+  "total_seconds": 1083.1885055080002,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:53:06",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_2/README.md b/extended-text-cls-american-eagle-prices/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_2/adapter_config.json b/extended-text-cls-american-eagle-prices/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4ac7cc41e9f5bd2a83008719135aecfed5189df5
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_2/meta.json b/extended-text-cls-american-eagle-prices/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..e661b9bb920ab188474f3c45c3be02b10cdc7e16
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_2/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_AMERICAN_EAGLE_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.3357579708099365,
+  "epochs": 17.0,
+  "n_rows": 15000,
+  "n_inputs": 3503,
+  "n_columns": 13,
+  "features": [
+    "available_size",
+    "description",
+    "pdp_url",
+    "product_name",
+    "style_attributes"
+  ],
+  "finetune_seconds": 1150.474731791,
+  "encode_seconds": {
+    "available_size": 0.17334129700066114,
+    "description": 0.3440571279998039,
+    "pdp_url": 0.5222992540002451,
+    "product_name": 0.032307516999935615,
+    "style_attributes": 0.0979998720004005
+  },
+  "total_seconds": 1151.6447368590011,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 10:12:30",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_3/README.md b/extended-text-cls-american-eagle-prices/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_3/adapter_config.json b/extended-text-cls-american-eagle-prices/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b1f46a3348282ba2d0fe2bce8873579b6752569c
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_3/meta.json b/extended-text-cls-american-eagle-prices/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e11537877db14d3d28c44bcbf1dae0d2cf51775
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_3/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_AMERICAN_EAGLE_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.33277007937431335,
+  "epochs": 18.0,
+  "n_rows": 15000,
+  "n_inputs": 3511,
+  "n_columns": 13,
+  "features": [
+    "available_size",
+    "description",
+    "pdp_url",
+    "product_name",
+    "style_attributes"
+  ],
+  "finetune_seconds": 1217.29526015,
+  "encode_seconds": {
+    "available_size": 0.16709276999972644,
+    "description": 0.3736163330004274,
+    "pdp_url": 0.5164312770002653,
+    "product_name": 0.03297839299921179,
+    "style_attributes": 0.10143645200059836
+  },
+  "total_seconds": 1218.4868153750003,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 10:33:01",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_4/README.md b/extended-text-cls-american-eagle-prices/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_4/adapter_config.json b/extended-text-cls-american-eagle-prices/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..10f64f2fea48fed03575e45b2d577f8bb3ce9f23
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_4/meta.json b/extended-text-cls-american-eagle-prices/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..2350b246a54634fc82cd40024ef35d7d5f8cfaa2
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_4/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_AMERICAN_EAGLE_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.3526061773300171,
+  "epochs": 15.0,
+  "n_rows": 15000,
+  "n_inputs": 3506,
+  "n_columns": 13,
+  "features": [
+    "available_size",
+    "description",
+    "pdp_url",
+    "product_name",
+    "style_attributes"
+  ],
+  "finetune_seconds": 1014.8166825980006,
+  "encode_seconds": {
+    "available_size": 0.16769103400019958,
+    "description": 0.3467139509994013,
+    "pdp_url": 0.5286295260002589,
+    "product_name": 0.03211091900084284,
+    "style_attributes": 0.09917707899967354
+  },
+  "total_seconds": 1015.991005107001,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 10:50:11",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_5/README.md b/extended-text-cls-american-eagle-prices/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_5/adapter_config.json b/extended-text-cls-american-eagle-prices/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4eb63ab1984759bfac7838b953473fb70cbc14d5
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-american-eagle-prices/10k/fold_5/meta.json b/extended-text-cls-american-eagle-prices/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..51c096f0ea343977af85ea45a78d136389065393
--- /dev/null
+++ b/extended-text-cls-american-eagle-prices/10k/fold_5/meta.json
@@ -0,0 +1,59 @@
+{
+  "dataset": "MUL_TEXT_AMERICAN_EAGLE_PRICES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 0.353502482175827,
+  "epochs": 14.0,
+  "n_rows": 15000,
+  "n_inputs": 3500,
+  "n_columns": 13,
+  "features": [
+    "available_size",
+    "description",
+    "pdp_url",
+    "product_name",
+    "style_attributes"
+  ],
+  "finetune_seconds": 947.4281873070004,
+  "encode_seconds": {
+    "available_size": 0.1798820310004885,
+    "description": 0.3564540280003712,
+    "pdp_url": 0.5119746330001362,
+    "product_name": 0.03315387700058636,
+    "style_attributes": 0.09720659699996759
+  },
+  "total_seconds": 948.6068584730019,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 11:06:12",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.0411834716797,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_0/README.md b/extended-text-cls-korean-drama/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_0/adapter_config.json b/extended-text-cls-korean-drama/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..fbc9645da0def5fb54da1ae0db9916e4c853b039
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_0/meta.json b/extended-text-cls-korean-drama/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..8f2b76892e86618e757d8991a97188dae393d6ae
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_0/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "MUL_TEXT_KOREAN_DRAMA",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 1098,
+  "n_test": 549,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.2119247913360596,
+  "epochs": 16.0,
+  "n_rows": 1647,
+  "n_inputs": 7502,
+  "n_columns": 9,
+  "features": [
+    "Genre",
+    "Main Cast",
+    "Name",
+    "Network",
+    "Sinopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 154.3577651579999,
+  "encode_seconds": {
+    "Genre": 0.14548220300002868,
+    "Main Cast": 0.41582761600056983,
+    "Name": 0.3862585560000298,
+    "Network": 0.09427325599972392,
+    "Sinopsis": 2.128982838000411,
+    "Tags": 0.4345529780002835
+  },
+  "total_seconds": 157.96314260500094,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:20:11",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_1/README.md b/extended-text-cls-korean-drama/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_1/adapter_config.json b/extended-text-cls-korean-drama/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..0d4425696613b121acb814d9954e7af8e2afad87
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_1/meta.json b/extended-text-cls-korean-drama/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..f2bfda2abffe46a662727e3541f07d6df874e403
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_1/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "MUL_TEXT_KOREAN_DRAMA",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 1098,
+  "n_test": 549,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.20414400100708,
+  "epochs": 16.0,
+  "n_rows": 1647,
+  "n_inputs": 7502,
+  "n_columns": 9,
+  "features": [
+    "Genre",
+    "Main Cast",
+    "Name",
+    "Network",
+    "Sinopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 154.38477845800026,
+  "encode_seconds": {
+    "Genre": 0.14935430800051108,
+    "Main Cast": 0.410116189999826,
+    "Name": 0.3814875210000537,
+    "Network": 0.09333869500005676,
+    "Sinopsis": 2.1412417339997774,
+    "Tags": 0.4315269750004518
+  },
+  "total_seconds": 157.99184388100093,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:23:02",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_2/README.md b/extended-text-cls-korean-drama/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_2/adapter_config.json b/extended-text-cls-korean-drama/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..762b4b480dd5c004fc43a527ee8f8b7276851f8a
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.value"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_2/meta.json b/extended-text-cls-korean-drama/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..367edbfea8b87e91ff92e75df3bb49d7573894cd
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_2/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "MUL_TEXT_KOREAN_DRAMA",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 1098,
+  "n_test": 549,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.194298505783081,
+  "epochs": 19.0,
+  "n_rows": 1647,
+  "n_inputs": 7502,
+  "n_columns": 9,
+  "features": [
+    "Genre",
+    "Main Cast",
+    "Name",
+    "Network",
+    "Sinopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 183.14131429400004,
+  "encode_seconds": {
+    "Genre": 0.14982641699953092,
+    "Main Cast": 0.42026621400054864,
+    "Name": 0.3872781259997282,
+    "Network": 0.09474169000077381,
+    "Sinopsis": 2.1248096690005696,
+    "Tags": 0.4215082820001044
+  },
+  "total_seconds": 186.7397446920013,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:26:21",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_3/README.md b/extended-text-cls-korean-drama/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_3/adapter_config.json b/extended-text-cls-korean-drama/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..053092b028f4ebaa487bd17275e3f0d8b408af20
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_3/meta.json b/extended-text-cls-korean-drama/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..5059819e7aaab4c18a0595bc93387da1e069accb
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_3/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "MUL_TEXT_KOREAN_DRAMA",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 1098,
+  "n_test": 549,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.1645667552948,
+  "epochs": 24.0,
+  "n_rows": 1647,
+  "n_inputs": 7502,
+  "n_columns": 9,
+  "features": [
+    "Genre",
+    "Main Cast",
+    "Name",
+    "Network",
+    "Sinopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 230.90802287099996,
+  "encode_seconds": {
+    "Genre": 0.14616311000008864,
+    "Main Cast": 0.4047968180002499,
+    "Name": 0.37916802800009464,
+    "Network": 0.0961472879998837,
+    "Sinopsis": 2.1947631699995327,
+    "Tags": 0.43826726200040866
+  },
+  "total_seconds": 234.56732854700022,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:30:29",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_4/README.md b/extended-text-cls-korean-drama/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_4/adapter_config.json b/extended-text-cls-korean-drama/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8c32b19a7ce0859e27d8ebc8be0b29f782ad8fbc
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_4/meta.json b/extended-text-cls-korean-drama/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..019f3a1712ac9c8593e4c174486a41b01d5ac04d
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_4/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "MUL_TEXT_KOREAN_DRAMA",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 1098,
+  "n_test": 549,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.184917449951172,
+  "epochs": 21.0,
+  "n_rows": 1647,
+  "n_inputs": 7502,
+  "n_columns": 9,
+  "features": [
+    "Genre",
+    "Main Cast",
+    "Name",
+    "Network",
+    "Sinopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 202.35157612500007,
+  "encode_seconds": {
+    "Genre": 0.14934596399962174,
+    "Main Cast": 0.41218019600000844,
+    "Name": 0.38646501899984287,
+    "Network": 0.09756524600015837,
+    "Sinopsis": 2.146641742000611,
+    "Tags": 0.43121001300005446
+  },
+  "total_seconds": 205.97498430500036,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:34:08",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_5/README.md b/extended-text-cls-korean-drama/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_5/adapter_config.json b/extended-text-cls-korean-drama/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b0589b906b5d2650aedd8683cb3708a65e69d164
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-cls-korean-drama/10k/fold_5/meta.json b/extended-text-cls-korean-drama/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..3919a40900f411e7e442408d5ac67eba638c5c8c
--- /dev/null
+++ b/extended-text-cls-korean-drama/10k/fold_5/meta.json
@@ -0,0 +1,61 @@
+{
+  "dataset": "MUL_TEXT_KOREAN_DRAMA",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 1098,
+  "n_test": 549,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.1552188396453857,
+  "epochs": 28.0,
+  "n_rows": 1647,
+  "n_inputs": 7502,
+  "n_columns": 9,
+  "features": [
+    "Genre",
+    "Main Cast",
+    "Name",
+    "Network",
+    "Sinopsis",
+    "Tags"
+  ],
+  "finetune_seconds": 269.2340293850002,
+  "encode_seconds": {
+    "Genre": 0.14557201500065275,
+    "Main Cast": 0.410580693999691,
+    "Name": 0.3774227089998021,
+    "Network": 0.09317136599929654,
+    "Sinopsis": 2.124774329000502,
+    "Tags": 0.42515101000026334
+  },
+  "total_seconds": 272.8107015080004,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 09:38:54",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119873046875,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-cls-melbourne-airbnb/10k/fold_5/README.md b/extended-text-cls-melbourne-airbnb/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-cls-melbourne-airbnb/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_0/README.md b/extended-text-reg-chocolate-bar-ratings/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_0/adapter_config.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..acc320c52020b46e70d570c0d1538420b679fed0
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_0/meta.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..48ce1e2b87d158c3f4f79bec532c1e77ca13fa19
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_0/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "REG_TEXT_CHOCOLATE_BAR_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 1196,
+  "n_test": 599,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.854754090309143,
+  "epochs": 39.0,
+  "n_rows": 1795,
+  "n_inputs": 1556,
+  "n_columns": 8,
+  "features": [
+    "Broad Bean Origin",
+    "Company  (Maker if known)",
+    "Specific Bean Origin or Bar Name"
+  ],
+  "finetune_seconds": 217.56492027400236,
+  "encode_seconds": {
+    "Broad Bean Origin": 0.036476320998190204,
+    "Company  (Maker if known)": 0.09768153200275265,
+    "Specific Bean Origin or Bar Name": 0.2495381670014467
+  },
+  "total_seconds": 217.94861629400475,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:47:52",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_1/README.md b/extended-text-reg-chocolate-bar-ratings/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_1/adapter_config.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..74f9d4b76ebb9881acc9cdaaff5a079d1079f4d9
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_1/meta.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..6cefb4090808e8ab93ef8273327c0892d24d71ef
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_1/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "REG_TEXT_CHOCOLATE_BAR_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 1197,
+  "n_test": 598,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.8772436380386353,
+  "epochs": 32.0,
+  "n_rows": 1795,
+  "n_inputs": 1556,
+  "n_columns": 8,
+  "features": [
+    "Broad Bean Origin",
+    "Company  (Maker if known)",
+    "Specific Bean Origin or Bar Name"
+  ],
+  "finetune_seconds": 178.88546366199807,
+  "encode_seconds": {
+    "Broad Bean Origin": 0.03740364099940052,
+    "Company  (Maker if known)": 0.1007317490002606,
+    "Specific Bean Origin or Bar Name": 0.2464372069989622
+  },
+  "total_seconds": 179.2700362589967,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:51:05",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_2/README.md b/extended-text-reg-chocolate-bar-ratings/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_2/adapter_config.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..2ae8b07c78e824d3634f6fb038acb0c8eee11dce
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_2/meta.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..67485c71d6f30718dfac4f1d263460072f9d697d
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_2/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "REG_TEXT_CHOCOLATE_BAR_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 1197,
+  "n_test": 598,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.8569008111953735,
+  "epochs": 46.0,
+  "n_rows": 1795,
+  "n_inputs": 1556,
+  "n_columns": 8,
+  "features": [
+    "Broad Bean Origin",
+    "Company  (Maker if known)",
+    "Specific Bean Origin or Bar Name"
+  ],
+  "finetune_seconds": 256.6781968769974,
+  "encode_seconds": {
+    "Broad Bean Origin": 0.03851336700245156,
+    "Company  (Maker if known)": 0.0983516510023037,
+    "Specific Bean Origin or Bar Name": 0.24844694200146478
+  },
+  "total_seconds": 257.0635088370036,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:55:35",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_3/README.md b/extended-text-reg-chocolate-bar-ratings/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_3/adapter_config.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..012583b3469ca8036b5b8c1e07cd26ae76bf179d
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_3/meta.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..699f1a1a5bc3f0a861096108091ffa29ba9f0dfa
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_3/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "REG_TEXT_CHOCOLATE_BAR_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 1196,
+  "n_test": 599,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.8841458559036255,
+  "epochs": 28.0,
+  "n_rows": 1795,
+  "n_inputs": 1556,
+  "n_columns": 8,
+  "features": [
+    "Broad Bean Origin",
+    "Company  (Maker if known)",
+    "Specific Bean Origin or Bar Name"
+  ],
+  "finetune_seconds": 156.7910952860002,
+  "encode_seconds": {
+    "Broad Bean Origin": 0.03722780399766634,
+    "Company  (Maker if known)": 0.10275069400086068,
+    "Specific Bean Origin or Bar Name": 0.25143450899849995
+  },
+  "total_seconds": 157.18250829299723,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:58:25",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_4/README.md b/extended-text-reg-chocolate-bar-ratings/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_4/adapter_config.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..71831978ddde96815e86026879fe9fb784bb2cba
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_4/meta.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..e5bc249c2d2798a7e433e1b0c080cdbf198538ee
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_4/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "REG_TEXT_CHOCOLATE_BAR_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 1197,
+  "n_test": 598,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.8790347576141357,
+  "epochs": 17.0,
+  "n_rows": 1795,
+  "n_inputs": 1556,
+  "n_columns": 8,
+  "features": [
+    "Broad Bean Origin",
+    "Company  (Maker if known)",
+    "Specific Bean Origin or Bar Name"
+  ],
+  "finetune_seconds": 95.69958106099875,
+  "encode_seconds": {
+    "Broad Bean Origin": 0.03774029399937717,
+    "Company  (Maker if known)": 0.10078404900195892,
+    "Specific Bean Origin or Bar Name": 0.2550288889979129
+  },
+  "total_seconds": 96.093134292998,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:00:13",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_5/README.md b/extended-text-reg-chocolate-bar-ratings/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_5/adapter_config.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..fa9d23209a245ce3421256f43e5928f3963357e4
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.intermediate.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-chocolate-bar-ratings/10k/fold_5/meta.json b/extended-text-reg-chocolate-bar-ratings/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..c2f1c583818dae8696bab0cb70c1eea51fd5e771
--- /dev/null
+++ b/extended-text-reg-chocolate-bar-ratings/10k/fold_5/meta.json
@@ -0,0 +1,55 @@
+{
+  "dataset": "REG_TEXT_CHOCOLATE_BAR_RATINGS",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 1197,
+  "n_test": 598,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 1.8771015405654907,
+  "epochs": 13.0,
+  "n_rows": 1795,
+  "n_inputs": 1556,
+  "n_columns": 8,
+  "features": [
+    "Broad Bean Origin",
+    "Company  (Maker if known)",
+    "Specific Bean Origin or Bar Name"
+  ],
+  "finetune_seconds": 73.3940521709992,
+  "encode_seconds": {
+    "Broad Bean Origin": 0.03634735499872477,
+    "Company  (Maker if known)": 0.10070964800252113,
+    "Specific Bean Origin or Bar Name": 0.2535854029993061
+  },
+  "total_seconds": 73.78469457699975,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:01:39",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119491577148,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_0/README.md b/extended-text-reg-fifa22-wages/10k/fold_0/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_0/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_0/adapter_config.json b/extended-text-reg-fifa22-wages/10k/fold_0/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..fd94b13a0d47036305d0814f49a0f9e30344bb63
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_0/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_0/meta.json b/extended-text-reg-fifa22-wages/10k/fold_0/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..66275f023d0801d40d65e915841153bd3138483c
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_0/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "REG_TEXT_FIFA22_WAGES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 0,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.325040817260742,
+  "epochs": 31.0,
+  "n_rows": 15000,
+  "n_inputs": 159,
+  "n_columns": 28,
+  "features": [
+    "nationality_name"
+  ],
+  "finetune_seconds": 439.68636525499824,
+  "encode_seconds": {
+    "nationality_name": 0.04419591800069611
+  },
+  "total_seconds": 439.73056117299893,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:53:29",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_1/README.md b/extended-text-reg-fifa22-wages/10k/fold_1/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_1/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_1/adapter_config.json b/extended-text-reg-fifa22-wages/10k/fold_1/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..585001632a7daac59fc2b45c22fc2a470c2dfea5
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_1/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.attention.self.query"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_1/meta.json b/extended-text-reg-fifa22-wages/10k/fold_1/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..dad438c0da463db2d9532b6d90e2b2a803941436
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_1/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "REG_TEXT_FIFA22_WAGES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 1,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.328779697418213,
+  "epochs": 23.0,
+  "n_rows": 15000,
+  "n_inputs": 159,
+  "n_columns": 28,
+  "features": [
+    "nationality_name"
+  ],
+  "finetune_seconds": 326.68971278999925,
+  "encode_seconds": {
+    "nationality_name": 0.04416342599870404
+  },
+  "total_seconds": 326.73387621599795,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 12:59:08",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_2/README.md b/extended-text-reg-fifa22-wages/10k/fold_2/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_2/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_2/adapter_config.json b/extended-text-reg-fifa22-wages/10k/fold_2/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..37087bc5dddccebed36167745c2f2d16b386e8f8
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_2/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_2/meta.json b/extended-text-reg-fifa22-wages/10k/fold_2/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8b72274896ccda4fa7f3385cafc04b308f4d0b8
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_2/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "REG_TEXT_FIFA22_WAGES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 2,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.3236753940582275,
+  "epochs": 22.0,
+  "n_rows": 15000,
+  "n_inputs": 158,
+  "n_columns": 28,
+  "features": [
+    "nationality_name"
+  ],
+  "finetune_seconds": 312.58121194200066,
+  "encode_seconds": {
+    "nationality_name": 0.04458551200150396
+  },
+  "total_seconds": 312.62579745400217,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:04:34",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_3/README.md b/extended-text-reg-fifa22-wages/10k/fold_3/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_3/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_3/adapter_config.json b/extended-text-reg-fifa22-wages/10k/fold_3/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..b4017324da7b29d8a5daab6db155666d4e409e1f
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_3/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.10.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_3/meta.json b/extended-text-reg-fifa22-wages/10k/fold_3/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..c647fa79042b7adb164f7e085acd8e608b54ece7
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_3/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "REG_TEXT_FIFA22_WAGES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 3,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.3229873180389404,
+  "epochs": 30.0,
+  "n_rows": 15000,
+  "n_inputs": 161,
+  "n_columns": 28,
+  "features": [
+    "nationality_name"
+  ],
+  "finetune_seconds": 425.82879895600126,
+  "encode_seconds": {
+    "nationality_name": 0.07265314899996156
+  },
+  "total_seconds": 425.9014521050012,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:11:52",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_4/README.md b/extended-text-reg-fifa22-wages/10k/fold_4/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_4/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_4/adapter_config.json b/extended-text-reg-fifa22-wages/10k/fold_4/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..4c9758a09ee67b5bbbc9f87be448e5d63e9af335
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_4/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.9.output.dense",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.key"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_4/meta.json b/extended-text-reg-fifa22-wages/10k/fold_4/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec8d43304e0bcb6d8506114a8a0e61d24322a172
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_4/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "REG_TEXT_FIFA22_WAGES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 4,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.386099100112915,
+  "epochs": 22.0,
+  "n_rows": 15000,
+  "n_inputs": 157,
+  "n_columns": 28,
+  "features": [
+    "nationality_name"
+  ],
+  "finetune_seconds": 312.55901966299825,
+  "encode_seconds": {
+    "nationality_name": 0.044572599999810336
+  },
+  "total_seconds": 312.60359226299806,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:17:18",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_5/README.md b/extended-text-reg-fifa22-wages/10k/fold_5/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6a256f882abf219f4149dbcc59cfa6bfd6bae15
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_5/README.md
@@ -0,0 +1,206 @@
+---
+base_model: intfloat/e5-small-v2
+library_name: peft
+tags:
+- base_model:adapter:intfloat/e5-small-v2
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_5/adapter_config.json b/extended-text-reg-fifa22-wages/10k/fold_5/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..007bc341cb054e71c0959517c8839135a24af6dc
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_5/adapter_config.json
@@ -0,0 +1,60 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "BertModel",
+    "parent_library": "transformers.models.bert.modeling_bert"
+  },
+  "base_model_name_or_path": "intfloat/e5-small-v2",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "encoder.layer.9.attention.self.value",
+    "encoder.layer.9.intermediate.dense",
+    "encoder.layer.10.attention.self.query",
+    "encoder.layer.9.attention.self.key",
+    "encoder.layer.10.output.dense",
+    "encoder.layer.11.attention.self.query",
+    "encoder.layer.11.attention.self.key",
+    "encoder.layer.11.attention.output.dense",
+    "encoder.layer.9.attention.output.dense",
+    "encoder.layer.11.intermediate.dense",
+    "encoder.layer.11.output.dense",
+    "encoder.layer.9.attention.self.query",
+    "encoder.layer.10.attention.self.value",
+    "encoder.layer.10.attention.self.key",
+    "encoder.layer.11.attention.self.value",
+    "encoder.layer.10.attention.output.dense",
+    "encoder.layer.10.intermediate.dense",
+    "encoder.layer.9.output.dense"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/extended-text-reg-fifa22-wages/10k/fold_5/meta.json b/extended-text-reg-fifa22-wages/10k/fold_5/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..41cf448e61f21062ecd1c538268ee2ce4e96a024
--- /dev/null
+++ b/extended-text-reg-fifa22-wages/10k/fold_5/meta.json
@@ -0,0 +1,51 @@
+{
+  "dataset": "REG_TEXT_FIFA22_WAGES",
+  "encoder": "e5-small-tar",
+  "model": "intfloat/e5-small-v2",
+  "size": "10k",
+  "fold": 5,
+  "n_train": 10000,
+  "n_test": 5000,
+  "lora": {
+    "learning_rate": 0.0001,
+    "epochs": 50,
+    "lora_rank": 16,
+    "layers": 3,
+    "patience": 3,
+    "weight_decay": 0.001,
+    "batch_size": 256
+  },
+  "best_val_loss": 2.2817890644073486,
+  "epochs": 24.0,
+  "n_rows": 15000,
+  "n_inputs": 158,
+  "n_columns": 28,
+  "features": [
+    "nationality_name"
+  ],
+  "finetune_seconds": 341.26368778600045,
+  "encode_seconds": {
+    "nationality_name": 0.04365911199965922
+  },
+  "total_seconds": 341.3073468980001,
+  "git": "12b5c55",
+  "timestamp": "2026-10-18 13:23:12",
+  "gpu_type": "NVIDIA H100 80GB HBM3",
+  "gpu_total_memory_gb": 79.1787109375,
+  "use_gpu": true,
+  "cpu_cores": 8,
+  "system_ram_gb": 230.04119110107422,
+  "cpu_name": "Intel(R) Xeon(R) Platinum 8481C CPU @ 2.70GHz",
+  "visible_cpus": 8,
+  "ram_limit_gb": 32.0,
+  "expected_hardware": {
+    "gpu_prefix": "NVIDIA A100",
+    "cpu_prefix": null,
+    "cpus": 6,
+    "ram_gb": 32
+  },
+  "official_hardware_mismatches": [
+    "GPU is NVIDIA H100 80GB HBM3, not NVIDIA A100",
+    "8 CPUs are available, not 6"
+  ]
+}
\ No newline at end of file