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WillLoki/distilbert-base-uncased-lora-text-classification

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README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7886
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  - Accuracy: {'accuracy': 0.885}
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  ## Model description
@@ -50,16 +50,16 @@ 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 | 250 | 0.3607 | {'accuracy': 0.871} |
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- | 0.387 | 2.0 | 500 | 0.7780 | {'accuracy': 0.801} |
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- | 0.387 | 3.0 | 750 | 0.6343 | {'accuracy': 0.874} |
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- | 0.141 | 4.0 | 1000 | 0.6477 | {'accuracy': 0.889} |
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- | 0.141 | 5.0 | 1250 | 0.6377 | {'accuracy': 0.884} |
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- | 0.0721 | 6.0 | 1500 | 0.6829 | {'accuracy': 0.885} |
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- | 0.0721 | 7.0 | 1750 | 0.7276 | {'accuracy': 0.88} |
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- | 0.0159 | 8.0 | 2000 | 0.7739 | {'accuracy': 0.884} |
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- | 0.0159 | 9.0 | 2250 | 0.7852 | {'accuracy': 0.885} |
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- | 0.0105 | 10.0 | 2500 | 0.7886 | {'accuracy': 0.885} |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4675
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  - Accuracy: {'accuracy': 0.885}
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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 | 250 | 0.5274 | {'accuracy': 0.874} |
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+ | 0.2336 | 2.0 | 500 | 0.4621 | {'accuracy': 0.873} |
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+ | 0.2336 | 3.0 | 750 | 0.5047 | {'accuracy': 0.874} |
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+ | 0.2293 | 4.0 | 1000 | 0.4725 | {'accuracy': 0.884} |
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+ | 0.2293 | 5.0 | 1250 | 0.4214 | {'accuracy': 0.881} |
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+ | 0.2034 | 6.0 | 1500 | 0.4845 | {'accuracy': 0.866} |
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+ | 0.2034 | 7.0 | 1750 | 0.4923 | {'accuracy': 0.875} |
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+ | 0.1519 | 8.0 | 2000 | 0.4627 | {'accuracy': 0.886} |
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+ | 0.1519 | 9.0 | 2250 | 0.4626 | {'accuracy': 0.888} |
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+ | 0.1232 | 10.0 | 2500 | 0.4675 | {'accuracy': 0.885} |
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  ### Framework versions
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