| --- |
| library_name: transformers |
| license: other |
| base_model: deepseek-ai/deepseek-coder-1.3b-base |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: sft6 |
| 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. --> |
|
|
| # sft6 |
|
|
| 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 an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.2783 |
|
|
| ## 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: 0.05 |
| - train_batch_size: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 200 |
| - num_epochs: 4 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 7.072 | 0.5776 | 100 | 4.6165 | |
| | 4.7006 | 1.1552 | 200 | 5.2319 | |
| | 4.877 | 1.7329 | 300 | 4.8986 | |
| | 4.92 | 2.3105 | 400 | 4.6126 | |
| | 4.7913 | 2.8881 | 500 | 4.7317 | |
| | 4.4665 | 3.4657 | 600 | 4.2783 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.45.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 2.19.2 |
| - Tokenizers 0.20.3 |
|
|
