BaoTNguyen
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baotnguyen/ncis
Browse files
README.md
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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/phdatdt/Fine%20tuning%20mistral%207B/runs/
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# ncis
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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:
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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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| No log | 1.0 | 19 |
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| No log | 2.0 | 38 |
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| No log | 3.0 | 57 |
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| No log | 4.0 | 76 |
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| No log | 5.0 | 95 |
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| No log | 6.0 | 114 |
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| No log | 7.0 | 133 |
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| No log | 8.0 | 152 |
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| No log | 9.0 | 171 |
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| No log | 10.0 | 190 |
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### Framework versions
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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/phdatdt/Fine%20tuning%20mistral%207B/runs/8lpu7o4v)
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# ncis
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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: 0.8757
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- Accuracy: 0.9320
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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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| No log | 1.0 | 19 | 2.5491 | 0.6408 |
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| No log | 2.0 | 38 | 6.8450 | 0.5922 |
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| No log | 3.0 | 57 | 2.3423 | 0.7282 |
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| No log | 4.0 | 76 | 3.2814 | 0.6990 |
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| No log | 5.0 | 95 | 0.7817 | 0.9320 |
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| No log | 6.0 | 114 | 0.8577 | 0.9320 |
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| No log | 7.0 | 133 | 0.8714 | 0.9320 |
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| No log | 8.0 | 152 | 0.8742 | 0.9320 |
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| No log | 9.0 | 171 | 0.8755 | 0.9320 |
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| No log | 10.0 | 190 | 0.8757 | 0.9320 |
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### Framework versions
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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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"
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"o_proj",
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"k_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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"q_proj",
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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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"task_type": "SEQ_CLS",
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"use_dora": false,
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adapter_model.safetensors
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runs/Jul18_16-56-06_18d11760e5bd/events.out.tfevents.1721321767.18d11760e5bd.34.0
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training_args.bin
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