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

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README.md CHANGED
@@ -18,8 +18,8 @@ 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: 1.1903
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- - Accuracy: {'accuracy': 0.891}
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  ## Model description
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@@ -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 | 0.5397 | {'accuracy': 0.862} |
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- | 0.2457 | 2.0 | 500 | 1.2690 | {'accuracy': 0.839} |
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- | 0.2457 | 3.0 | 750 | 0.8730 | {'accuracy': 0.852} |
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- | 0.1492 | 4.0 | 1000 | 0.9712 | {'accuracy': 0.881} |
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- | 0.1492 | 5.0 | 1250 | 1.1036 | {'accuracy': 0.861} |
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- | 0.0561 | 6.0 | 1500 | 1.0834 | {'accuracy': 0.895} |
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- | 0.0561 | 7.0 | 1750 | 1.1282 | {'accuracy': 0.89} |
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- | 0.0177 | 8.0 | 2000 | 1.1094 | {'accuracy': 0.887} |
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- | 0.0177 | 9.0 | 2250 | 1.1538 | {'accuracy': 0.887} |
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- | 0.0017 | 10.0 | 2500 | 1.1903 | {'accuracy': 0.891} |
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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: 1.0335
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+ - Accuracy: {'accuracy': 0.889}
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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 | 0.7278 | {'accuracy': 0.833} |
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+ | 0.358 | 2.0 | 500 | 0.6268 | {'accuracy': 0.852} |
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+ | 0.358 | 3.0 | 750 | 0.6568 | {'accuracy': 0.872} |
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+ | 0.1873 | 4.0 | 1000 | 0.7663 | {'accuracy': 0.883} |
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+ | 0.1873 | 5.0 | 1250 | 0.7704 | {'accuracy': 0.877} |
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+ | 0.0437 | 6.0 | 1500 | 0.8981 | {'accuracy': 0.893} |
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+ | 0.0437 | 7.0 | 1750 | 0.9872 | {'accuracy': 0.886} |
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+ | 0.0148 | 8.0 | 2000 | 1.0022 | {'accuracy': 0.888} |
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+ | 0.0148 | 9.0 | 2250 | 1.0471 | {'accuracy': 0.892} |
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+ | 0.0006 | 10.0 | 2500 | 1.0335 | {'accuracy': 0.889} |
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  ### Framework versions
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