End of training
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README.md
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This model is a fine-tuned version of [cambridgeltl/tacl-bert-base-uncased](https://huggingface.co/cambridgeltl/tacl-bert-base-uncased) 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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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| No log | 1.0 | 306 | 0.
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| 0.
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| 0.
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### Framework versions
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This model is a fine-tuned version of [cambridgeltl/tacl-bert-base-uncased](https://huggingface.co/cambridgeltl/tacl-bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1145
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- Precision: 0.5103
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- Recall: 0.5803
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- F1: 0.5431
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| No log | 1.0 | 306 | 0.0849 | 0.4564 | 0.5632 | 0.5042 |
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| 0.0884 | 2.0 | 612 | 0.0993 | 0.4838 | 0.6037 | 0.5371 |
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| 0.0884 | 3.0 | 918 | 0.1145 | 0.5103 | 0.5803 | 0.5431 |
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### Framework versions
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model.safetensors
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runs/May19_19-06-29_ad9b2bcda10b/events.out.tfevents.1716145590.ad9b2bcda10b.713.0
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