bert-base-banking77-pt2
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3839
- F1: 0.0003
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 4.378 | 1.0 | 626 | 4.4237 | 0.0003 |
| 4.3599 | 2.0 | 1252 | 4.4173 | 0.0003 |
| 4.3501 | 3.0 | 1878 | 4.4188 | 0.0003 |
| 4.3499 | 4.0 | 2504 | 4.4020 | 0.0003 |
| 4.3426 | 5.0 | 3130 | 4.4127 | 0.0003 |
| 4.3282 | 6.0 | 3756 | 4.3996 | 0.0003 |
| 4.3357 | 7.0 | 4382 | 4.3898 | 0.0003 |
| 4.3309 | 8.0 | 5008 | 4.3871 | 0.0003 |
| 4.3251 | 9.0 | 5634 | 4.3852 | 0.0003 |
| 4.3134 | 10.0 | 6260 | 4.3839 | 0.0003 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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