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ncis

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baotnguyen/ncis

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  1. README.md +11 -10
  2. adapter_model.safetensors +1 -1
  3. runs/Jul25_20-39-30_fbd8ddee8c7d/events.out.tfevents.1721939970.fbd8ddee8c7d.34.2 +3 -0
  4. runs/Jul25_20-39-30_fbd8ddee8c7d/events.out.tfevents.1721941733.fbd8ddee8c7d.34.3 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,12 +15,13 @@ model-index:
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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/3qvcjkr4)
 
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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: 0.1620
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- - Accuracy: 0.9596
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  ## Model description
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@@ -51,14 +52,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.4619 | 1.0 | 37 | 0.2178 | 0.9394 |
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- | 0.3815 | 2.0 | 74 | 0.3978 | 0.8687 |
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- | 0.1126 | 3.0 | 111 | 0.1702 | 0.9545 |
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- | 0.3125 | 4.0 | 148 | 0.2103 | 0.9495 |
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- | 0.0564 | 5.0 | 185 | 0.1620 | 0.9596 |
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- | 0.0836 | 6.0 | 222 | 0.1903 | 0.9596 |
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- | 0.0584 | 7.0 | 259 | 0.1973 | 0.9596 |
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- | 0.0023 | 8.0 | 296 | 0.1985 | 0.9495 |
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  ### Framework versions
 
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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/3qvcjkr4)
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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/gvsqg7wo)
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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: 0.1286
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+ - Accuracy: 0.9545
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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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+ | 0.3789 | 1.0 | 37 | 0.1643 | 0.9444 |
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+ | 0.3206 | 2.0 | 74 | 0.1628 | 0.9192 |
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+ | 0.2918 | 3.0 | 111 | 0.2010 | 0.9040 |
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+ | 0.2759 | 4.0 | 148 | 0.3873 | 0.9242 |
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+ | 0.1263 | 5.0 | 185 | 0.1286 | 0.9545 |
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+ | 0.1482 | 6.0 | 222 | 0.1546 | 0.9495 |
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+ | 0.0104 | 7.0 | 259 | 0.1359 | 0.9646 |
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+ | 0.004 | 8.0 | 296 | 0.1463 | 0.9697 |
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  ### Framework versions
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