| | --- |
| | library_name: peft |
| | license: other |
| | base_model: deepseek-ai/deepseek-coder-1.3b-base |
| | tags: |
| | - trl |
| | - kto |
| | - generated_from_trainer |
| | model-index: |
| | - name: kto4 |
| | 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. --> |
| |
|
| | # kto4 |
| |
|
| | 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: nan |
| | - Eval/rewards/chosen: 0.0 |
| | - Eval/logps/chosen: 0.0 |
| | - Eval/rewards/rejected: 0.0 |
| | - Eval/logps/rejected: 0.0 |
| | - Eval/rewards/margins: 0.0 |
| | - Eval/kl: nan |
| |
|
| | ## 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: 0.1 |
| | - 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 | | |
| | |:-------------:|:------:|:----:|:---------------:|:---:| |
| | | 0.4759 | 1.1552 | 100 | 0.5000 | 0.0 | |
| | | 0.5018 | 2.3105 | 200 | 0.5000 | 0.0 | |
| | | 4.6568 | 3.4657 | 300 | nan | nan | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.10.0 |
| | - Transformers 4.45.0 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.20.3 |
