BaoTNguyen
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baotnguyen/ncis
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README.md
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.
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| 0.
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| 0.034 | 5.0 | 185 | 0.2067 | 0.9646 |
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| 0.062 | 6.0 | 222 | 0.2459 | 0.9747 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2
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- Datasets 2.
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- Tokenizers 0.19.1
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1850
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- Accuracy: 0.9192
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4941 | 1.0 | 37 | 0.1850 | 0.9192 |
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| 1.0952 | 2.0 | 74 | 0.4716 | 0.8737 |
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| 0.221 | 3.0 | 111 | 0.3881 | 0.8636 |
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| 0.3177 | 4.0 | 148 | 0.1900 | 0.9596 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"v_proj",
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"o_proj",
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"
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],
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"task_type": "SEQ_CLS",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"k_proj",
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"q_proj",
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"v_proj"
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],
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"task_type": "SEQ_CLS",
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"use_dora": false,
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adapter_model.safetensors
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training_args.bin
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