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

Browse files
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: 0.1719
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- - Accuracy Thresh: 0.9378
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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 | 0.4035 | 0.7847 |
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- | No log | 2.0 | 140 | 0.2987 | 0.8867 |
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- | No log | 3.0 | 210 | 0.2408 | 0.9194 |
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- | No log | 4.0 | 280 | 0.2094 | 0.9327 |
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- | No log | 5.0 | 350 | 0.1901 | 0.9306 |
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- | No log | 6.0 | 420 | 0.1834 | 0.9327 |
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- | No log | 7.0 | 490 | 0.1806 | 0.9316 |
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- | 0.2595 | 8.0 | 560 | 0.1740 | 0.9408 |
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- | 0.2595 | 9.0 | 630 | 0.1723 | 0.9367 |
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- | 0.2595 | 10.0 | 700 | 0.1719 | 0.9378 |
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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: 0.1849
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+ - Accuracy Thresh: 0.9186
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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 | 0.4094 | 0.7879 |
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+ | No log | 2.0 | 140 | 0.3128 | 0.8743 |
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+ | No log | 3.0 | 210 | 0.2563 | 0.9129 |
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+ | No log | 4.0 | 280 | 0.2323 | 0.9157 |
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+ | No log | 5.0 | 350 | 0.2118 | 0.9129 |
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+ | No log | 6.0 | 420 | 0.2037 | 0.9136 |
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+ | No log | 7.0 | 490 | 0.1942 | 0.9150 |
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+ | 0.2837 | 8.0 | 560 | 0.1872 | 0.9150 |
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+ | 0.2837 | 9.0 | 630 | 0.1859 | 0.9171 |
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+ | 0.2837 | 10.0 | 700 | 0.1849 | 0.9186 |
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  ### Framework versions
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