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aift-model-review-multiple-label-classification

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README.md CHANGED
@@ -15,7 +15,7 @@ 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: 1.9102
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  - Accuracy Thresh: 0.9324
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  ## Model description
@@ -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 | 407 | 1.0569 | 0.8140 |
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- | 2.0882 | 2.0 | 814 | 0.8827 | 0.8299 |
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- | 0.8307 | 3.0 | 1221 | 0.9532 | 0.8789 |
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- | 0.6022 | 4.0 | 1628 | 1.1407 | 0.9077 |
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- | 0.438 | 5.0 | 2035 | 1.2774 | 0.9176 |
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- | 0.438 | 6.0 | 2442 | 1.6056 | 0.9212 |
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- | 0.363 | 7.0 | 2849 | 1.6522 | 0.9279 |
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- | 0.2773 | 8.0 | 3256 | 1.7484 | 0.9301 |
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- | 0.2365 | 9.0 | 3663 | 1.7665 | 0.9322 |
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- | 0.1952 | 10.0 | 4070 | 1.9102 | 0.9324 |
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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: 1.7250
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  - Accuracy Thresh: 0.9324
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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 | 407 | 1.1155 | 0.8054 |
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+ | 2.1876 | 2.0 | 814 | 0.8882 | 0.8200 |
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+ | 0.8836 | 3.0 | 1221 | 0.8841 | 0.8763 |
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+ | 0.6407 | 4.0 | 1628 | 1.0921 | 0.9124 |
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+ | 0.4595 | 5.0 | 2035 | 1.0602 | 0.9132 |
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+ | 0.4595 | 6.0 | 2442 | 1.4590 | 0.9227 |
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+ | 0.3532 | 7.0 | 2849 | 1.6123 | 0.9256 |
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+ | 0.2784 | 8.0 | 3256 | 1.5713 | 0.9279 |
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+ | 0.2401 | 9.0 | 3663 | 1.7793 | 0.9337 |
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+ | 0.1886 | 10.0 | 4070 | 1.7250 | 0.9324 |
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  ### Framework versions
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