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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: 0.1798
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- - Accuracy Thresh: 0.9347
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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 | 0.4152 | 0.8684 |
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- | No log | 2.0 | 140 | 0.3026 | 0.9010 |
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- | No log | 3.0 | 210 | 0.2406 | 0.9286 |
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- | No log | 4.0 | 280 | 0.2176 | 0.9316 |
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- | No log | 5.0 | 350 | 0.2038 | 0.9245 |
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- | No log | 6.0 | 420 | 0.1924 | 0.9296 |
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- | No log | 7.0 | 490 | 0.1900 | 0.9265 |
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- | 0.2652 | 8.0 | 560 | 0.1868 | 0.9286 |
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- | 0.2652 | 9.0 | 630 | 0.1804 | 0.9367 |
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- | 0.2652 | 10.0 | 700 | 0.1798 | 0.9347 |
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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: 0.1739
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+ - Accuracy Thresh: 0.9378
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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 | 0.4061 | 0.7867 |
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+ | No log | 2.0 | 140 | 0.3021 | 0.8908 |
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+ | No log | 3.0 | 210 | 0.2387 | 0.9173 |
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+ | No log | 4.0 | 280 | 0.2109 | 0.9276 |
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+ | No log | 5.0 | 350 | 0.1957 | 0.9255 |
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+ | No log | 6.0 | 420 | 0.1861 | 0.9327 |
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+ | No log | 7.0 | 490 | 0.1828 | 0.9337 |
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+ | 0.2647 | 8.0 | 560 | 0.1794 | 0.9337 |
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+ | 0.2647 | 9.0 | 630 | 0.1743 | 0.9367 |
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+ | 0.2647 | 10.0 | 700 | 0.1739 | 0.9378 |
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  ### Framework versions
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