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: 2.0297
- F1: 1.0
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 |
|---|---|---|---|---|
| No log | 1.0 | 4 | 3.0563 | 0.8889 |
| No log | 2.0 | 8 | 2.3672 | 1.0 |
| No log | 3.0 | 12 | 2.0297 | 1.0 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Model tree for ngeg2015/bert-base-banking77-pt2
Base model
google-bert/bert-base-uncasedDataset used to train ngeg2015/bert-base-banking77-pt2
Evaluation results
- F1 on banking77self-reported1.000