End of training
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            ---
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            datasets:
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            - generator
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            library_name: peft
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            license: other
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            tags:
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            - trl
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            - sft
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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/ut1w9uax)
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            # sft3
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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  | 
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            ## Model description
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            ### Training hyperparameters
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            The following hyperparameters were used during training:
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            - learning_rate:  | 
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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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            - 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_steps: 200
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            - num_epochs:  | 
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            ### Training results
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            ### Framework versions
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            - Pytorch 2.2.2+cu121
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            - Datasets 2.19.2
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            - Tokenizers 0. | 
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            ---
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            library_name: transformers
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            license: other
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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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            - sft
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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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            # sft3
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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 an unknown dataset.
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            It achieves the following results on the evaluation set:
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            - Loss: 4.4064
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            ## Model description
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            ### Training hyperparameters
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            The following hyperparameters were used during training:
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            - learning_rate: 0.1
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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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            - 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_steps: 200
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            - num_epochs: 7
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            ### Training results
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            | Training Loss | Epoch  | Step | Validation Loss |
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            |:-------------:|:------:|:----:|:---------------:|
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            | 8.5931        | 2.3088 | 100  | 4.7651          |
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            | 4.9129        | 4.6176 | 200  | 4.9481          |
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            | 4.8131        | 6.9264 | 300  | 4.4064          |
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            ### Framework versions
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            - Transformers 4.45.0
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            - Pytorch 2.5.1+cu124
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            - Datasets 2.19.2
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            - Tokenizers 0.20.3
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        generation_config.json
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            {
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              "_from_model_config": true,
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              "bos_token_id": 32013,
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              "eos_token_id": 32014,
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              "transformers_version": "4.45.0"
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            }
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