bert-base-banking77-pt2
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3136
- F1: 0.9301
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 |
---|---|---|---|---|
1.1185 | 1.0 | 626 | 0.8087 | 0.8360 |
0.3789 | 2.0 | 1252 | 0.3784 | 0.9206 |
0.1792 | 3.0 | 1878 | 0.3136 | 0.9301 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.2+cu118
- Datasets 2.13.0
- Tokenizers 0.14.1
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