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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 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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- F1: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1
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| No log | 1.0 | 304 | 0.
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1556
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- F1: 0.9862
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 304 | 0.1169 | 0.9892 |
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| 0.1084 | 2.0 | 608 | 0.1117 | 0.9892 |
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| 0.1084 | 3.0 | 912 | 0.1191 | 0.9892 |
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| 0.0808 | 4.0 | 1216 | 0.1469 | 0.9892 |
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| 0.0342 | 5.0 | 1520 | 0.1556 | 0.9862 |
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### Framework versions
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