jco1/causality_bert_v2
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README.md
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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.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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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: 0.5038
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- Accuracy: 0.876
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- F1: 0.8654
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## Model description
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| 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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model.safetensors
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runs/Jan06_20-58-12_ae3b36722b79/events.out.tfevents.1736197095.ae3b36722b79.1162.0
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training_args.bin
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