| --- |
| base_model: deepseek-ai/deepseek-coder-1.3b-base |
| datasets: |
| - generator |
| library_name: peft |
| license: other |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: sft16 |
| 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/16jbg6js) |
| # sft16 |
|
|
| 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 generator dataset. |
|
|
| ## Model description |
|
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| More information needed |
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| ## Intended uses & limitations |
|
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| More information needed |
|
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| ## Training and evaluation data |
|
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| More information needed |
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| ## Training procedure |
|
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 5e-06 |
| - 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_steps: 200 |
| - num_epochs: 1 |
|
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| ### Training results |
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| ### Framework versions |
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| - PEFT 0.10.0 |
| - Transformers 4.43.0.dev0 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
