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--- |
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license: other |
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base_model: deepseek-ai/deepseek-coder-6.7b-instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: finetune_deepspeed_deepseek |
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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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# finetune_deepspeed_deepseek |
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2286 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 4 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.1482 | 1.0 | 1559 | 0.2420 | |
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| 0.0969 | 2.0 | 3118 | 0.2178 | |
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| 0.0761 | 3.0 | 4677 | 0.1981 | |
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| 0.0561 | 4.0 | 6236 | 0.1966 | |
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| 0.0469 | 5.0 | 7795 | 0.1977 | |
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| 0.0401 | 6.0 | 9354 | 0.1979 | |
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| 0.032 | 7.0 | 10913 | 0.2009 | |
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| 0.028 | 8.0 | 12472 | 0.2091 | |
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| 0.0254 | 9.0 | 14031 | 0.2252 | |
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| 0.0275 | 10.0 | 15590 | 0.2286 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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