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ncis

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baotnguyen/ncis

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  1. README.md +8 -8
  2. adapter_model.safetensors +1 -1
  3. runs/Jul22_22-36-13_b9453ee8a7b9/events.out.tfevents.1721687774.b9453ee8a7b9.34.2 +3 -0
  4. runs/Jul22_22-36-13_b9453ee8a7b9/events.out.tfevents.1721688481.b9453ee8a7b9.34.3 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,11 +15,12 @@ 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/pjl3k4ui)
 
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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: 1.8015
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  - Accuracy: 0.8376
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  ## Model description
@@ -51,13 +52,12 @@ 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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- | 1.9242 | 1.0 | 19 | 2.1112 | 0.7863 |
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- | 0.0002 | 2.0 | 38 | 5.0588 | 0.7265 |
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- | 0.0093 | 3.0 | 57 | 1.9242 | 0.8291 |
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- | 0.0 | 4.0 | 76 | 1.8015 | 0.8376 |
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- | 0.0 | 5.0 | 95 | 1.8311 | 0.8376 |
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- | 0.0 | 6.0 | 114 | 1.8429 | 0.8376 |
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- | 0.0 | 7.0 | 133 | 1.8533 | 0.8376 |
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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/pjl3k4ui)
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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/x9rk8c6l)
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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: 0.7879
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  - Accuracy: 0.8376
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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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+ | 0.4594 | 1.0 | 19 | 1.8113 | 0.7265 |
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+ | 0.0891 | 2.0 | 38 | 1.3579 | 0.7778 |
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+ | 0.0006 | 3.0 | 57 | 0.7879 | 0.8376 |
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+ | 0.0001 | 4.0 | 76 | 3.2639 | 0.6496 |
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+ | 0.0 | 5.0 | 95 | 2.6519 | 0.7179 |
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+ | 0.0 | 6.0 | 114 | 2.5846 | 0.7179 |
 
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  ### Framework versions
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