Model save
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README.md
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# bert-base-cased
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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
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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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# bert-base-cased
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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: 0.4211
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- F1 Macro: 0.8908
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- F1: 0.9266
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- F1 Neg: 0.8550
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- Acc: 0.9025
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- Prec: 0.9389
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- Recall: 0.9145
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- Mcc: 0.7822
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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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| 0.5238 | 1.0 | 824 | 0.4772 | 0.8698 | 0.9062 | 0.8333 | 0.88 | 0.9062 | 0.9062 | 0.7396 |
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| 0.319 | 2.0 | 1648 | 0.4391 | 0.8940 | 0.9240 | 0.8641 | 0.9025 | 0.9222 | 0.9258 | 0.7881 |
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| 0.1949 | 3.0 | 2472 | 0.5378 | 0.8901 | 0.9231 | 0.8571 | 0.9 | 0.9091 | 0.9375 | 0.7811 |
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### Framework versions
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model.safetensors
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runs/Mar25_22-52-15_tardis/events.out.tfevents.1711403766.tardis.879648.1
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