| | --- |
| | license: other |
| | base_model: deepseek-ai/deepseek-coder-1.3b-base |
| | tags: |
| | - trl |
| | - kto |
| | - generated_from_trainer |
| | model-index: |
| | - name: k5 |
| | 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/k5) |
| | # k5 |
| |
|
| | 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: 0.2886 |
| | - Eval/rewards/chosen: 2.6454 |
| | - Eval/logps/chosen: -116.1424 |
| | - Eval/rewards/rejected: -3.8846 |
| | - Eval/logps/rejected: -219.9025 |
| | - Eval/rewards/margins: 6.5300 |
| | - Eval/kl: 17.0514 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 256 |
| | - 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: 5 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | | |
| | |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | | 0.4119 | 1.7094 | 100 | 0.4174 | 8.2439 | |
| | | 0.0854 | 3.4188 | 200 | 0.2886 | 17.0514 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.43.0.dev0 |
| | - Pytorch 2.2.2+cu121 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.19.1 |
| | |
