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jco1/causality_bert_v3

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README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5038
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- - Accuracy: 0.876
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- - F1: 0.8654
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.4682 | 1.0 | 500 | 0.3929 | 0.838 | 0.8325 |
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- | 0.4017 | 2.0 | 1000 | 0.4347 | 0.833 | 0.7715 |
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- | 0.3825 | 3.0 | 1500 | 0.6541 | 0.779 | 0.7984 |
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- | 0.3609 | 4.0 | 2000 | 0.4493 | 0.851 | 0.8484 |
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- | 0.3404 | 5.0 | 2500 | 0.4276 | 0.843 | 0.7941 |
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- | 0.3184 | 6.0 | 3000 | 0.3935 | 0.864 | 0.8509 |
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- | 0.2792 | 7.0 | 3500 | 0.3839 | 0.867 | 0.8519 |
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- | 0.2919 | 8.0 | 4000 | 0.5530 | 0.855 | 0.8216 |
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- | 0.2404 | 9.0 | 4500 | 0.5326 | 0.865 | 0.8603 |
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- | 0.2139 | 10.0 | 5000 | 0.5038 | 0.876 | 0.8654 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4327
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+ - Accuracy: 0.8533
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+ - F1: 0.8517
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 450 | 0.4571 | 0.8367 | 0.7623 |
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+ | 0.4531 | 2.0 | 900 | 0.4590 | 0.8367 | 0.7623 |
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+ | 0.4643 | 3.0 | 1350 | 0.4480 | 0.8367 | 0.7623 |
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+ | 0.4537 | 4.0 | 1800 | 0.4498 | 0.8367 | 0.7623 |
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+ | 0.4508 | 5.0 | 2250 | 0.4466 | 0.8367 | 0.7623 |
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+ | 0.4531 | 6.0 | 2700 | 0.4467 | 0.8367 | 0.7623 |
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+ | 0.4553 | 7.0 | 3150 | 0.4498 | 0.8367 | 0.7623 |
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+ | 0.4388 | 8.0 | 3600 | 0.4473 | 0.8367 | 0.7623 |
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+ | 0.3981 | 9.0 | 4050 | 0.3563 | 0.8722 | 0.8472 |
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+ | 0.2981 | 10.0 | 4500 | 0.4327 | 0.8533 | 0.8517 |
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  ### Framework versions
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