End of training
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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 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: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5411
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- F1: 0.8931
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 2.4953 | 1.0 | 626 | 1.9874 | 0.5181 |
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| 0.9025 | 2.0 | 1252 | 0.7712 | 0.8430 |
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| 0.4689 | 3.0 | 1878 | 0.5411 | 0.8931 |
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### Framework versions
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logs/events.out.tfevents.1705160512.bakuretsopc.9783.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:93d3572bfbae22d9ad12f95da9e6308ac181ec6c7e7c2a88ae4cc792a63223a1
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size 12400
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