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 an unknown 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:
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- F1:
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- F1 Neg:
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- Acc:
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- Prec:
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- Recall: 1.0
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- Mcc: 0.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:------:|:---:|:----:|:------:|:---:|
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| No log | 1.0 | 1 | 0.
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| No log | 2.0 | 2 | 0.
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| No log | 3.0 | 3 | 0.
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7468
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- F1 Macro: 0.3333
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- F1: 0.6667
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- F1 Neg: 0.0
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- Acc: 0.5
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- Prec: 0.5
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- Recall: 1.0
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- Mcc: 0.0
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### Training results
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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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| No log | 1.0 | 1 | 0.7356 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -1.0 |
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| No log | 2.0 | 2 | 0.7468 | 0.3333 | 0.6667 | 0.0 | 0.5 | 0.5 | 1.0 | 0.0 |
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| No log | 3.0 | 3 | 0.7527 | 0.3333 | 0.6667 | 0.0 | 0.5 | 0.5 | 1.0 | 0.0 |
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### Framework versions
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model.safetensors
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