update model card README.md
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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:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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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: 1.9283
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 7
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- eval_batch_size: 7
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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: 15
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.4409 | 1.0 | 99 | 2.1982 |
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| 2.2905 | 2.0 | 198 | 2.1643 |
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| 2.1974 | 3.0 | 297 | 2.1168 |
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| 2.15 | 4.0 | 396 | 2.0023 |
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| 2.0823 | 5.0 | 495 | 2.0199 |
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| 2.0752 | 6.0 | 594 | 1.9061 |
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| 2.0408 | 7.0 | 693 | 1.9770 |
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| 1.9984 | 8.0 | 792 | 1.9322 |
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| 1.9933 | 9.0 | 891 | 1.9167 |
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| 1.9806 | 10.0 | 990 | 1.9652 |
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| 1.9436 | 11.0 | 1089 | 1.9308 |
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| 1.9491 | 12.0 | 1188 | 1.9064 |
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| 1.929 | 13.0 | 1287 | 1.8831 |
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| 1.9096 | 14.0 | 1386 | 1.8927 |
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| 1.9032 | 15.0 | 1485 | 1.9117 |
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### Framework versions
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