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--- |
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base_model: deepseek-ai/deepseek-coder-1.3b-base |
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tags: |
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- trl |
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- kto |
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- generated_from_trainer |
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model-index: |
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- name: jk1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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/jk1) |
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# jk1 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4472 |
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- Eval/rewards/chosen: -3.2197 |
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- Eval/logps/chosen: -135.3643 |
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- Eval/rewards/rejected: -13.7858 |
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- Eval/logps/rejected: -268.6870 |
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- Eval/rewards/margins: 10.5660 |
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- Eval/kl: 0.0 |
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## 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: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | | |
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|:-------------:|:------:|:----:|:---------------:|:---:| |
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| 0.1139 | 1.7058 | 100 | 0.4472 | 0.0 | |
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### Framework versions |
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- Transformers 4.43.0.dev0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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