banking77
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2846
- F1: 0.9316
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.5829 | 1.0 | 313 | 1.1631 | 0.7977 |
| 0.5338 | 2.0 | 626 | 0.4816 | 0.9114 |
| 0.2448 | 3.0 | 939 | 0.3417 | 0.9198 |
| 0.1321 | 4.0 | 1252 | 0.2973 | 0.9293 |
| 0.0708 | 5.0 | 1565 | 0.2846 | 0.9316 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for KevinCai/banking77
Base model
google-bert/bert-base-uncased