End of training
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- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-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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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 44 | 0.
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| No log | 2.0 | 88 | 0.
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| No log | 3.0 | 132 | 0.
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| No log | 4.0 | 176 | 0.
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| No log | 5.0 | 220 | 0.
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| No log | 6.0 | 264 | 0.
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| No log | 7.0 | 308 | 0.
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| No log | 8.0 | 352 | 0.
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| No log | 9.0 | 396 | 0.
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| No log | 10.0 | 440 | 0.
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### Framework versions
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6996
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- Precision: 0.9000
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- Recall: 0.8902
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- F1: 0.8941
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- Accuracy: 0.8922
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 44 | 0.6240 | 0.8483 | 0.8532 | 0.8411 | 0.8480 |
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| No log | 2.0 | 88 | 0.3887 | 0.9054 | 0.8660 | 0.8792 | 0.8873 |
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| No log | 3.0 | 132 | 0.4416 | 0.9015 | 0.9034 | 0.9022 | 0.9020 |
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| No log | 4.0 | 176 | 0.6620 | 0.9290 | 0.8847 | 0.8991 | 0.9020 |
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| No log | 5.0 | 220 | 0.6337 | 0.9148 | 0.8880 | 0.8970 | 0.8971 |
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| No log | 6.0 | 264 | 0.6673 | 0.8965 | 0.8875 | 0.8905 | 0.8922 |
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| No log | 7.0 | 308 | 0.6857 | 0.9000 | 0.8902 | 0.8941 | 0.8922 |
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| No log | 8.0 | 352 | 0.6921 | 0.9000 | 0.8902 | 0.8941 | 0.8922 |
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| No log | 9.0 | 396 | 0.6976 | 0.9000 | 0.8902 | 0.8941 | 0.8922 |
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| No log | 10.0 | 440 | 0.6996 | 0.9000 | 0.8902 | 0.8941 | 0.8922 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1334392764
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