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test_trainer
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1667
- Accuracy: 0.9464
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 493 | 0.3126 | 0.875 |
| 0.4646 | 2.0 | 986 | 0.1646 | 0.9464 |
| 0.3032 | 3.0 | 1479 | 0.1667 | 0.9464 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.4.0
- Tokenizers 0.12.1
