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baotnguyen/ncis

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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/bcp8q4u5)
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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: 1.5884
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- - Accuracy: 0.8205
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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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- | No log | 1.0 | 19 | 4.9428 | 0.4786 |
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- | No log | 2.0 | 38 | 4.6067 | 0.6325 |
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- | No log | 3.0 | 57 | 1.0003 | 0.8632 |
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- | No log | 4.0 | 76 | 1.4983 | 0.8376 |
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- | No log | 5.0 | 95 | 1.5749 | 0.8291 |
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- | No log | 6.0 | 114 | 1.5852 | 0.8205 |
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- | No log | 7.0 | 133 | 1.5872 | 0.8205 |
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- | No log | 8.0 | 152 | 1.5881 | 0.8205 |
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- | No log | 9.0 | 171 | 1.5883 | 0.8205 |
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- | No log | 10.0 | 190 | 1.5884 | 0.8205 |
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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
adapter_config.json CHANGED
@@ -23,10 +23,10 @@
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  "target_modules": [
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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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