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ncis

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baotnguyen/ncis

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  1. README.md +13 -13
  2. adapter_model.safetensors +1 -1
  3. runs/Jul22_16-08-37_90cc069fc707/events.out.tfevents.1721664517.90cc069fc707.34.0 +3 -0
  4. runs/Jul22_16-08-37_90cc069fc707/events.out.tfevents.1721665691.90cc069fc707.34.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ model-index:
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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/35ogk8js)
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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: 0.8124
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- - Accuracy: 0.9223
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  ## Model description
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@@ -51,16 +51,16 @@ 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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- | 1.5187 | 1.0 | 19 | 0.8262 | 0.8155 |
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- | 0.0217 | 2.0 | 38 | 0.8124 | 0.9223 |
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- | 0.0304 | 3.0 | 57 | 1.5031 | 0.8544 |
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- | 0.0 | 4.0 | 76 | 1.2126 | 0.8835 |
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- | 0.0 | 5.0 | 95 | 1.1801 | 0.8835 |
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- | 0.0 | 6.0 | 114 | 1.1762 | 0.8835 |
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- | 0.0 | 7.0 | 133 | 1.1758 | 0.8835 |
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- | 0.0 | 8.0 | 152 | 1.1757 | 0.8835 |
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- | 0.0 | 9.0 | 171 | 1.1757 | 0.8835 |
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- | 0.0 | 10.0 | 190 | 1.1757 | 0.8835 |
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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/m1be6v75)
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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: 0.3311
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+ - Accuracy: 0.9060
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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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+ | 1.3214 | 1.0 | 19 | 0.7020 | 0.7863 |
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+ | 0.0598 | 2.0 | 38 | 0.3311 | 0.9060 |
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+ | 0.0074 | 3.0 | 57 | 0.9180 | 0.7863 |
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+ | 0.0 | 4.0 | 76 | 0.9639 | 0.7863 |
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+ | 0.0 | 5.0 | 95 | 0.9509 | 0.7863 |
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+ | 0.0 | 6.0 | 114 | 0.9476 | 0.7863 |
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+ | 0.0 | 7.0 | 133 | 0.9481 | 0.7863 |
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+ | 0.0 | 8.0 | 152 | 0.9387 | 0.7863 |
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+ | 0.0 | 9.0 | 171 | 0.9380 | 0.7863 |
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+ | 0.0 | 10.0 | 190 | 0.9361 | 0.7863 |
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  ### Framework versions
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