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Cielciel/aift-model

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.ipynb_checkpoints/config-checkpoint.json ADDED
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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: 2.1529
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- - Accuracy Thresh: 0.9374
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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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- | 1.7187 | 1.0 | 845 | 0.8176 | 0.8261 |
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- | 0.7417 | 2.0 | 1690 | 0.7961 | 0.8918 |
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- | 0.5647 | 3.0 | 2535 | 0.9633 | 0.9031 |
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- | 0.441 | 4.0 | 3380 | 1.1189 | 0.9162 |
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- | 0.3397 | 5.0 | 4225 | 1.4119 | 0.9260 |
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- | 0.2637 | 6.0 | 5070 | 1.8281 | 0.9270 |
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- | 0.2387 | 7.0 | 5915 | 1.8851 | 0.9309 |
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- | 0.1711 | 8.0 | 6760 | 1.8036 | 0.9349 |
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- | 0.1723 | 9.0 | 7605 | 2.1980 | 0.9373 |
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- | 0.1573 | 10.0 | 8450 | 2.1529 | 0.9374 |
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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: 3.1256
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+ - Accuracy Thresh: 0.9115
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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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+ | 2.2235 | 1.0 | 584 | 1.2682 | 0.7171 |
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+ | 1.1638 | 2.0 | 1168 | 1.1630 | 0.8122 |
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+ | 0.8698 | 3.0 | 1752 | 1.3732 | 0.8635 |
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+ | 0.7107 | 4.0 | 2336 | 1.5609 | 0.8770 |
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+ | 0.542 | 5.0 | 2920 | 1.9944 | 0.8927 |
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+ | 0.3618 | 6.0 | 3504 | 2.2950 | 0.9012 |
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+ | 0.2842 | 7.0 | 4088 | 2.5621 | 0.9018 |
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+ | 0.2358 | 8.0 | 4672 | 2.8400 | 0.9079 |
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+ | 0.2135 | 9.0 | 5256 | 3.1208 | 0.9111 |
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+ | 0.1731 | 10.0 | 5840 | 3.1256 | 0.9115 |
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  ### Framework versions
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