| --- |
| license: other |
| base_model: deepseek-ai/deepseek-coder-1.3b-base |
| tags: |
| - trl |
| - kto |
| - generated_from_trainer |
| model-index: |
| - name: k3 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/stojchets/huggingface/runs/k3) |
| # k3 |
|
|
| This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1575 |
| - Eval/rewards/chosen: 2.5930 |
| - Eval/logps/chosen: -116.6651 |
| - Eval/rewards/rejected: -10.1233 |
| - Eval/logps/rejected: -282.2972 |
| - Eval/rewards/margins: 12.7163 |
| - Eval/kl: 7.4003 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - lr_scheduler_warmup_steps: 200 |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.2045 | 0.8552 | 100 | 0.2515 | 16.7171 | |
| | 0.0457 | 1.7103 | 200 | 0.2056 | 14.2697 | |
| | 0.0271 | 2.5655 | 300 | 0.1644 | 9.4286 | |
| | 0.0157 | 3.4206 | 400 | 0.1575 | 7.4003 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.43.0.dev0 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
| |
