Instructions to use LEAP-LAB-KUS/jevkt-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LEAP-LAB-KUS/jevkt-checkpoints with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
E39 train-seed checkpoint E39-E18A100-ts2
Browse files- e39/S1-E39-E18A100-ts2-syn/DONE +1 -0
- e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter/README.md +206 -0
- e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter/adapter_config.json +57 -0
- e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter/adapter_model.safetensors +3 -0
- e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter_vllm/adapter_config.json +58 -0
- e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter_vllm/adapter_model.safetensors +3 -0
- e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter_vllm/decision_head.json +99 -0
- e39/S1-E39-E18A100-ts2-syn/ckpt-16000/calibration.json +29 -0
- e39/S1-E39-E18A100-ts2-syn/ckpt-16000/head.safetensors +3 -0
- e39/S1-E39-E18A100-ts2-syn/ckpt-16000/judge_config.json +164 -0
- e39/S1-E39-E18A100-ts2-syn/train_log.jsonl +57 -0
e39/S1-E39-E18A100-ts2-syn/DONE
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2026-10-28 13:51:49
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e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter/README.md
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| 1 |
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---
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| 2 |
+
base_model: /workspace/jev_kt/models/hf/JEV-9B
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| 3 |
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library_name: peft
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| 4 |
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tags:
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- base_model:adapter:/workspace/jev_kt/models/hf/JEV-9B
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| 6 |
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- lora
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| 7 |
+
- transformers
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| 8 |
+
---
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| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
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| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
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| 14 |
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| 15 |
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| 16 |
+
## Model Details
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| 17 |
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| 18 |
+
### Model Description
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| 19 |
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| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
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| 22 |
+
|
| 23 |
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|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
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| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
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|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
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|
| 76 |
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Use the code below to get started with the model.
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| 77 |
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|
| 78 |
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[More Information Needed]
|
| 79 |
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|
| 80 |
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## Training Details
|
| 81 |
+
|
| 82 |
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### Training Data
|
| 83 |
+
|
| 84 |
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<!-- 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. -->
|
| 85 |
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| 86 |
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[More Information Needed]
|
| 87 |
+
|
| 88 |
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### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
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|
| 92 |
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#### Preprocessing [optional]
|
| 93 |
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|
| 94 |
+
[More Information Needed]
|
| 95 |
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|
| 96 |
+
|
| 97 |
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#### Training Hyperparameters
|
| 98 |
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|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
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#### Speeds, Sizes, Times [optional]
|
| 102 |
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|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
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|
| 105 |
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[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
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<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
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|
| 111 |
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### Testing Data, Factors & Metrics
|
| 112 |
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|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
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| 117 |
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[More Information Needed]
|
| 118 |
+
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| 119 |
+
#### Factors
|
| 120 |
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| 121 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
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## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
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|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
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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).
|
| 150 |
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| 151 |
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- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
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- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
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|
| 159 |
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### Model Architecture and Objective
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| 160 |
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| 161 |
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[More Information Needed]
|
| 162 |
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| 163 |
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### Compute Infrastructure
|
| 164 |
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|
| 165 |
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[More Information Needed]
|
| 166 |
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|
| 167 |
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#### Hardware
|
| 168 |
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| 169 |
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[More Information Needed]
|
| 170 |
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| 171 |
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#### Software
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| 172 |
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| 173 |
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[More Information Needed]
|
| 174 |
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| 175 |
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## Citation [optional]
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| 176 |
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| 177 |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 178 |
+
|
| 179 |
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**BibTeX:**
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| 180 |
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| 181 |
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[More Information Needed]
|
| 182 |
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|
| 183 |
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**APA:**
|
| 184 |
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|
| 185 |
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[More Information Needed]
|
| 186 |
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|
| 187 |
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## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
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| 191 |
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[More Information Needed]
|
| 192 |
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|
| 193 |
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## More Information [optional]
|
| 194 |
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|
| 195 |
+
[More Information Needed]
|
| 196 |
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| 197 |
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## Model Card Authors [optional]
|
| 198 |
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|
| 199 |
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[More Information Needed]
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| 200 |
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|
| 201 |
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## Model Card Contact
|
| 202 |
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|
| 203 |
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[More Information Needed]
|
| 204 |
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### Framework versions
|
| 205 |
+
|
| 206 |
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- PEFT 0.21.2
|
e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter/adapter_config.json
ADDED
|
@@ -0,0 +1,57 @@
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| 1 |
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{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
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"alpha_pattern": {},
|
| 4 |
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"arrow_config": null,
|
| 5 |
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"auto_mapping": {
|
| 6 |
+
"base_model_class": "Qwen3_5ForCausalLM",
|
| 7 |
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"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
|
| 8 |
+
},
|
| 9 |
+
"base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
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"exclude_modules": null,
|
| 15 |
+
"fan_in_fan_out": false,
|
| 16 |
+
"inference_mode": true,
|
| 17 |
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"init_lora_weights": true,
|
| 18 |
+
"kasa_config": null,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
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"loftq_config": {},
|
| 23 |
+
"lora_alpha": 32,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.05,
|
| 26 |
+
"lora_ga_config": null,
|
| 27 |
+
"megatron_config": null,
|
| 28 |
+
"megatron_core": "megatron.core",
|
| 29 |
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"modules_to_save": null,
|
| 30 |
+
"monteclora_config": null,
|
| 31 |
+
"peft_type": "LORA",
|
| 32 |
+
"peft_version": "0.21.0",
|
| 33 |
+
"qalora_group_size": 16,
|
| 34 |
+
"r": 16,
|
| 35 |
+
"rank_pattern": {},
|
| 36 |
+
"revision": null,
|
| 37 |
+
"target_modules": [
|
| 38 |
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"q_proj",
|
| 39 |
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"in_proj_z",
|
| 40 |
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"up_proj",
|
| 41 |
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"o_proj",
|
| 42 |
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"out_proj",
|
| 43 |
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"gate_proj",
|
| 44 |
+
"v_proj",
|
| 45 |
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"down_proj",
|
| 46 |
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"in_proj_qkv",
|
| 47 |
+
"k_proj"
|
| 48 |
+
],
|
| 49 |
+
"target_parameters": null,
|
| 50 |
+
"task_type": null,
|
| 51 |
+
"trainable_token_indices": null,
|
| 52 |
+
"use_bdlora": null,
|
| 53 |
+
"use_dora": false,
|
| 54 |
+
"use_qalora": false,
|
| 55 |
+
"use_rslora": false,
|
| 56 |
+
"velora_config": null
|
| 57 |
+
}
|
e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:e0a00e66599c35af35c6cd093d492e8198228c8102ac0772cb1fc43c2af46a17
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| 3 |
+
size 160486456
|
e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter_vllm/adapter_config.json
ADDED
|
@@ -0,0 +1,58 @@
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| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "Qwen3_5ForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
|
| 8 |
+
},
|
| 9 |
+
"base_model_name_or_path": null,
|
| 10 |
+
"bias": "none",
|
| 11 |
+
"corda_config": null,
|
| 12 |
+
"ensure_weight_tying": false,
|
| 13 |
+
"eva_config": null,
|
| 14 |
+
"exclude_modules": null,
|
| 15 |
+
"fan_in_fan_out": false,
|
| 16 |
+
"inference_mode": true,
|
| 17 |
+
"init_lora_weights": true,
|
| 18 |
+
"kasa_config": null,
|
| 19 |
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"layer_replication": null,
|
| 20 |
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"layers_pattern": null,
|
| 21 |
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"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 64.0,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.0,
|
| 26 |
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"lora_ga_config": null,
|
| 27 |
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"megatron_config": null,
|
| 28 |
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"megatron_core": "megatron.core",
|
| 29 |
+
"modules_to_save": null,
|
| 30 |
+
"monteclora_config": null,
|
| 31 |
+
"peft_type": "LORA",
|
| 32 |
+
"peft_version": "0.21.0",
|
| 33 |
+
"qalora_group_size": 16,
|
| 34 |
+
"r": 32,
|
| 35 |
+
"rank_pattern": {},
|
| 36 |
+
"revision": null,
|
| 37 |
+
"target_modules": [
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj",
|
| 40 |
+
"in_proj_qkv",
|
| 41 |
+
"in_proj_z",
|
| 42 |
+
"k_proj",
|
| 43 |
+
"lm_head",
|
| 44 |
+
"o_proj",
|
| 45 |
+
"out_proj",
|
| 46 |
+
"q_proj",
|
| 47 |
+
"up_proj",
|
| 48 |
+
"v_proj"
|
| 49 |
+
],
|
| 50 |
+
"target_parameters": null,
|
| 51 |
+
"task_type": null,
|
| 52 |
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"trainable_token_indices": null,
|
| 53 |
+
"use_bdlora": null,
|
| 54 |
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"use_dora": false,
|
| 55 |
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"use_qalora": false,
|
| 56 |
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"use_rslora": false,
|
| 57 |
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"velora_config": null
|
| 58 |
+
}
|
e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter_vllm/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:42d0e8a0de1034ab136403b41ed0cb90ce681d1d6f4fe1bc788253f82c27232b
|
| 3 |
+
size 176641832
|
e39/S1-E39-E18A100-ts2-syn/ckpt-16000/adapter_vllm/decision_head.json
ADDED
|
@@ -0,0 +1,99 @@
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|
| 1 |
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{
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| 2 |
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"bias": [
|
| 3 |
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0.00042443646816536784,
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| 4 |
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| 5 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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0.0002913996868301183,
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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-0.005676032975316048,
|
| 26 |
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-0.003511295188218355
|
| 27 |
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],
|
| 28 |
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"verbalizer_ids": [
|
| 29 |
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3721,
|
| 30 |
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1802,
|
| 31 |
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15,
|
| 32 |
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16,
|
| 33 |
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17,
|
| 34 |
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18,
|
| 35 |
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|
| 36 |
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20,
|
| 37 |
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|
| 38 |
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33,
|
| 39 |
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34,
|
| 40 |
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35,
|
| 41 |
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36,
|
| 42 |
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|
| 43 |
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38,
|
| 44 |
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39,
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| 45 |
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40,
|
| 46 |
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| 47 |
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42,
|
| 48 |
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|
| 49 |
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44,
|
| 50 |
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45,
|
| 51 |
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46,
|
| 52 |
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47
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| 53 |
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],
|
| 54 |
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"slots": {
|
| 55 |
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"num_slots": 24,
|
| 56 |
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"ranges": {
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| 57 |
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"noul": [
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| 58 |
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0,
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| 59 |
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|
| 60 |
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],
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| 61 |
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"score": [
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| 62 |
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2,
|
| 63 |
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|
| 64 |
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],
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| 65 |
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"choice": [
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| 66 |
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8,
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| 67 |
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24
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| 68 |
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]
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| 69 |
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},
|
| 70 |
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"verbalizers": [
|
| 71 |
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"false",
|
| 72 |
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"true",
|
| 73 |
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"0",
|
| 74 |
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"1",
|
| 75 |
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"2",
|
| 76 |
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"3",
|
| 77 |
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"4",
|
| 78 |
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"5",
|
| 79 |
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"A",
|
| 80 |
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"B",
|
| 81 |
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"C",
|
| 82 |
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"D",
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| 83 |
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"E",
|
| 84 |
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"F",
|
| 85 |
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"G",
|
| 86 |
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"H",
|
| 87 |
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"I",
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| 88 |
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"J",
|
| 89 |
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"K",
|
| 90 |
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"L",
|
| 91 |
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"M",
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| 92 |
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"N",
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| 93 |
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"O",
|
| 94 |
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"P"
|
| 95 |
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],
|
| 96 |
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"template_version": "bare-v1"
|
| 97 |
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},
|
| 98 |
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"note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
|
| 99 |
+
}
|
e39/S1-E39-E18A100-ts2-syn/ckpt-16000/calibration.json
ADDED
|
@@ -0,0 +1,29 @@
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|
| 1 |
+
{
|
| 2 |
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"version": 1,
|
| 3 |
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"per_kind": {
|
| 4 |
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"noul": 0.9727707761713401,
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| 5 |
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"choice": 0.978351862144888,
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| 6 |
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"score": 1.0077124218018663
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| 7 |
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},
|
| 8 |
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"fit": {
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| 9 |
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"noul": {
|
| 10 |
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"n": 1087,
|
| 11 |
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"T": 0.9727707761713401,
|
| 12 |
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"ce_before": 0.5512580871582031,
|
| 13 |
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"ce_after": 0.5511888861656189
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| 14 |
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},
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| 15 |
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"choice": {
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| 16 |
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"n": 60,
|
| 17 |
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"T": 0.978351862144888,
|
| 18 |
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"ce_before": 0.6630859971046448,
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"ce_after": 0.6629763841629028
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| 20 |
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},
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| 21 |
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"score": {
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| 22 |
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"n": 53,
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| 23 |
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"T": 1.0077124218018663,
|
| 24 |
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"ce_before": 1.0504124164581299,
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| 25 |
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"ce_after": 1.0503981113433838
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| 26 |
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}
|
| 27 |
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},
|
| 28 |
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"source": "models/e39/S1-E39-E18A100-ts2-syn/ckpt-16000"
|
| 29 |
+
}
|
e39/S1-E39-E18A100-ts2-syn/ckpt-16000/head.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:71b5186165cd81b677204e0afcfdea8d07d222443af16b30a7c8c73d89a0e5e2
|
| 3 |
+
size 393464
|
e39/S1-E39-E18A100-ts2-syn/ckpt-16000/judge_config.json
ADDED
|
@@ -0,0 +1,164 @@
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|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_model_path": "/root/models/Qwen3.5-9B",
|
| 3 |
+
"hidden_size": 4096,
|
| 4 |
+
"slots": {
|
| 5 |
+
"num_slots": 24,
|
| 6 |
+
"ranges": {
|
| 7 |
+
"noul": [
|
| 8 |
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0,
|
| 9 |
+
2
|
| 10 |
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],
|
| 11 |
+
"score": [
|
| 12 |
+
2,
|
| 13 |
+
8
|
| 14 |
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],
|
| 15 |
+
"choice": [
|
| 16 |
+
8,
|
| 17 |
+
24
|
| 18 |
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]
|
| 19 |
+
},
|
| 20 |
+
"verbalizers": [
|
| 21 |
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"false",
|
| 22 |
+
"true",
|
| 23 |
+
"0",
|
| 24 |
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"1",
|
| 25 |
+
"2",
|
| 26 |
+
"3",
|
| 27 |
+
"4",
|
| 28 |
+
"5",
|
| 29 |
+
"A",
|
| 30 |
+
"B",
|
| 31 |
+
"C",
|
| 32 |
+
"D",
|
| 33 |
+
"E",
|
| 34 |
+
"F",
|
| 35 |
+
"G",
|
| 36 |
+
"H",
|
| 37 |
+
"I",
|
| 38 |
+
"J",
|
| 39 |
+
"K",
|
| 40 |
+
"L",
|
| 41 |
+
"M",
|
| 42 |
+
"N",
|
| 43 |
+
"O",
|
| 44 |
+
"P"
|
| 45 |
+
],
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| 46 |
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|
e39/S1-E39-E18A100-ts2-syn/train_log.jsonl
ADDED
|
@@ -0,0 +1,57 @@
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|
| 1 |
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{"time": "10:36:20", "event": "start", "data": "data/e18/G-d512-n16k-a100", "data_manifest": {"arm": "G-d512-n16k-a100", "name": null, "train_sha256": "e68e935b88943ba54ed4296ecedd5f5b36a7b9f114cd4d203c4f67b6ff70b912", "n_train": 16000}, "init": "released", "objective": "s-log", "sigma": 0.5, "K": 8, "reward": "brier", "clip": 0.2, "passes": 1, "lr": 0.0001, "lr_head": 0.0002, "rows_per_step": 32, "train_seed": 2, "replay": "data/e16/replay/train.jsonl", "replay_frac": 0.05, "replay_sha256": "9dd2df19851678750cf79d2fdb47581720930ef2f0c6e18e6fbe23ef2181847e", "max_len": 3072, "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps", "total_rows": 16000, "lora": {"r": 16, "lora_alpha": 32, "lora_dropout": 0.05}, "trainer_sha256": "a0b9d7552588ffb068565686509162a4f122f6f03392e693fa20088493e2a4f3", "device": "cuda", "load_s": 146.6973352432251}
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