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End of training

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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-1.3b-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: deepseek-ai-deepseek-coder-1.3b-base-finetuned-defect-detection
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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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+ # deepseek-ai-deepseek-coder-1.3b-base-finetuned-defect-detection
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+
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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: 0.5530
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+ - Accuracy: 0.7686
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+ - F1: 0.7679
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+ - Precision: 0.7527
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+ - Recall: 0.7837
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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: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 4711
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+ - gradient_accumulation_steps: 16
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+ - total_train_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: linear
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.5818 | 1.0 | 996 | 0.4514 | 0.7510 | 0.7353 | 0.7647 | 0.7081 |
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+ | 0.3357 | 2.0 | 1992 | 0.4397 | 0.7615 | 0.7695 | 0.7289 | 0.8150 |
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+ | 0.2098 | 3.0 | 2988 | 0.5530 | 0.7686 | 0.7679 | 0.7527 | 0.7837 |
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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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