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Cielciel/aift-model-review-multiple-label-classification

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README.md CHANGED
@@ -15,8 +15,8 @@ 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: 0.1827
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- - Accuracy Thresh: 0.9367
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  ## Model description
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@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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  |:-------------:|:-----:|:----:|:---------------:|:---------------:|
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- | No log | 1.0 | 70 | 0.4169 | 0.7908 |
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- | No log | 2.0 | 140 | 0.3130 | 0.8786 |
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- | No log | 3.0 | 210 | 0.2500 | 0.9163 |
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- | No log | 4.0 | 280 | 0.2243 | 0.9296 |
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- | No log | 5.0 | 350 | 0.2049 | 0.9255 |
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- | No log | 6.0 | 420 | 0.1941 | 0.9316 |
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- | No log | 7.0 | 490 | 0.1927 | 0.9316 |
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- | 0.2725 | 8.0 | 560 | 0.1875 | 0.9357 |
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- | 0.2725 | 9.0 | 630 | 0.1826 | 0.9367 |
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- | 0.2725 | 10.0 | 700 | 0.1827 | 0.9367 |
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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: 0.1712
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+ - Accuracy Thresh: 0.9398
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
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  |:-------------:|:-----:|:----:|:---------------:|:---------------:|
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+ | No log | 1.0 | 70 | 0.1784 | 0.9347 |
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+ | No log | 2.0 | 140 | 0.1673 | 0.9398 |
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+ | No log | 3.0 | 210 | 0.1723 | 0.9367 |
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+ | No log | 4.0 | 280 | 0.1647 | 0.9408 |
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+ | No log | 5.0 | 350 | 0.1679 | 0.9378 |
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+ | No log | 6.0 | 420 | 0.1686 | 0.9388 |
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+ | No log | 7.0 | 490 | 0.1676 | 0.9439 |
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+ | 0.0662 | 8.0 | 560 | 0.1727 | 0.9398 |
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+ | 0.0662 | 9.0 | 630 | 0.1715 | 0.9398 |
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+ | 0.0662 | 10.0 | 700 | 0.1712 | 0.9398 |
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  ### Framework versions
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