bert-base-banking77-pt2
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2976
- F1: 0.9292
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 |
|---|---|---|---|---|
| 1.0141 | 1.0 | 626 | 0.7477 | 0.8569 |
| 0.3561 | 2.0 | 1252 | 0.3632 | 0.9168 |
| 0.1645 | 3.0 | 1878 | 0.2976 | 0.9292 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.1.1
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for 2xionger/bert-base-banking77-pt2
Base model
google-bert/bert-base-uncased