Model save
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README.md
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This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) 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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- F1 Macro: 0.
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- F1: 0.
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- F1 Neg: 0.
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- Acc: 0.
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- Prec: 0.
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- Recall: 0.
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- Mcc: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3963
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- F1 Macro: 0.9034
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- F1: 0.9403
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- F1 Neg: 0.8664
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- Acc: 0.9175
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- Prec: 0.9155
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- Recall: 0.9665
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- Mcc: 0.8102
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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| 0.5951 | 1.0 | 947 | 0.5430 | 0.8465 | 0.8876 | 0.8055 | 0.8575 | 0.8964 | 0.8789 | 0.6933 |
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| 0.3947 | 2.0 | 1894 | 0.5327 | 0.8843 | 0.9234 | 0.8453 | 0.8975 | 0.8853 | 0.9648 | 0.7760 |
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| 0.2427 | 3.0 | 2841 | 0.5385 | 0.8824 | 0.9168 | 0.8481 | 0.8925 | 0.9080 | 0.9258 | 0.7652 |
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### Framework versions
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model.safetensors
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runs/Mar27_09-24-22_tardis/events.out.tfevents.1711529212.tardis.3532307.1
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