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update model card README.md
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README.md
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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) 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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- Accuracy: 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 | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 63 | 0.
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| No log | 2.0 | 126 | 0.
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| No log | 3.0 | 189 | 0.
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### Framework versions
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3752
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- Precision: 0.7403
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- Recall: 0.6800
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- F1: 0.7089
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- Accuracy: 0.9401
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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: 10
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### Training results
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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 | 63 | 0.3364 | 0.6802 | 0.6433 | 0.6612 | 0.9325 |
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| No log | 2.0 | 126 | 0.3434 | 0.6759 | 0.6789 | 0.6774 | 0.9331 |
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| No log | 3.0 | 189 | 0.3381 | 0.7297 | 0.6851 | 0.7067 | 0.9389 |
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| No log | 4.0 | 252 | 0.3470 | 0.6788 | 0.6942 | 0.6864 | 0.9333 |
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| No log | 5.0 | 315 | 0.3668 | 0.7392 | 0.6761 | 0.7062 | 0.9380 |
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| No log | 6.0 | 378 | 0.3722 | 0.7565 | 0.6710 | 0.7112 | 0.9416 |
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| No log | 7.0 | 441 | 0.3669 | 0.7253 | 0.6806 | 0.7022 | 0.9386 |
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| 0.0633 | 8.0 | 504 | 0.3673 | 0.7250 | 0.6914 | 0.7078 | 0.9404 |
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| 0.0633 | 9.0 | 567 | 0.3789 | 0.7456 | 0.6744 | 0.7082 | 0.9405 |
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| 0.0633 | 10.0 | 630 | 0.3752 | 0.7403 | 0.6800 | 0.7089 | 0.9401 |
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### Framework versions
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