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finetune_deepspeed_deepseek

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  1. README.md +71 -0
  2. generation_config.json +6 -0
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README.md ADDED
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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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+
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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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+
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+ # finetune_deepspeed_deepseek
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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