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update model card README.md
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README.md
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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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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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- Accuracy: 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 | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.4141 | 1.0 | 561 | 0.
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| 0.
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| 0.0806 | 3.0 | 1683 | 0.0153 | 0.9958 | 0.9958 |
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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: 0.4410
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- Accuracy: 0.8550
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- F1: 0.8557
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.4141 | 1.0 | 561 | 0.3768 | 0.8540 | 0.8545 |
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| 0.1774 | 2.0 | 1122 | 0.4410 | 0.8550 | 0.8557 |
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### Framework versions
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