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test-bert-3
This model is a fine-tuned version of hung200504/test-bert-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 11.6031
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.6386 | 0.09 | 5 | 11.9162 |
| 10.5413 | 0.18 | 10 | 11.8580 |
| 10.0927 | 0.27 | 15 | 11.8059 |
| 10.4313 | 0.36 | 20 | 11.7598 |
| 10.3152 | 0.45 | 25 | 11.7196 |
| 10.4342 | 0.55 | 30 | 11.6852 |
| 9.8252 | 0.64 | 35 | 11.6565 |
| 9.7464 | 0.73 | 40 | 11.6349 |
| 10.1302 | 0.82 | 45 | 11.6187 |
| 9.95 | 0.91 | 50 | 11.6080 |
| 10.2359 | 1.0 | 55 | 11.6031 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
