bert-base-banking77-pt2
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: 0.2844
- F1: 0.9312
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 3.2215 | 1.0 | 313 | 1.1811 | 0.7646 |
| 0.6252 | 2.0 | 626 | 0.4665 | 0.9120 |
| 0.3323 | 3.0 | 939 | 0.3294 | 0.9281 |
| 0.1446 | 4.0 | 1252 | 0.3051 | 0.9267 |
| 0.0994 | 5.0 | 1565 | 0.2844 | 0.9312 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.1
- Datasets 2.9.0
- Tokenizers 0.13.3
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Dataset used to train thainq107/bert-base-banking77-pt2
Evaluation results
- F1 on banking77test set self-reported0.931