test-bert-base-banking77
This model is a fine-tuned version of bert-base-uncased on the banking77 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2828
- F1: 0.9307
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: 16
- 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 | F1 |
|---|---|---|---|---|
| 1.0786 | 1.0 | 626 | 0.7667 | 0.8429 |
| 0.3836 | 2.0 | 1252 | 0.3487 | 0.9223 |
| 0.1855 | 3.0 | 1878 | 0.2828 | 0.9307 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.14.2
- Tokenizers 0.13.2
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