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Best model at step 150 with eval_loss=0.6800 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk

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  1. README.md +6 -6
  2. adapter_model.safetensors +1 -1
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  This model is a fine-tuned version of [unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.7461
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- - eval_runtime: 23.5864
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- - eval_samples_per_second: 3.816
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- - eval_steps_per_second: 0.509
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- - epoch: 0.8541
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- - step: 120
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  ## Model description
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  This model is a fine-tuned version of [unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.6800
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+ - eval_runtime: 23.5382
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+ - eval_samples_per_second: 3.824
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+ - eval_steps_per_second: 0.51
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+ - epoch: 1.0641
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+ - step: 150
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  ## Model description
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