| --- |
| library_name: peft |
| license: other |
| base_model: deepseek-ai/deepseek-coder-7b-instruct |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: NLP |
| 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. --> |
|
|
| # NLP |
|
|
| This model is a fine-tuned version of [deepseek-ai/deepseek-coder-7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6388 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 8 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 300 | 1.7294 | |
| | 1.8968 | 2.0 | 600 | 1.6561 | |
| | 1.8968 | 3.0 | 900 | 1.6388 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
