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test_trainer6
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: 2.0525
- Accuracy: 0.3229
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: 0.0001
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0672 | 1.0 | 88 | 2.0811 | 0.3229 |
| 1.9813 | 2.0 | 176 | 2.0715 | 0.3229 |
| 2.1212 | 3.0 | 264 | 2.0525 | 0.3229 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cpu
- Tokenizers 0.11.6
