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core-text-cls-us-accidents/10k/fold_0/README.md

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+---
+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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}

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"
+  ]
+}

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

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
+}