bert-base-uncased_Banking77
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3692
- F1: 0.9104
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 |
|---|---|---|---|---|
| 1.2158 | 1.0 | 626 | 0.9317 | 0.7791 |
| 0.4815 | 2.0 | 1252 | 0.4747 | 0.8866 |
| 0.2441 | 3.0 | 1878 | 0.3692 | 0.9104 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for Alitrix/bert-base-uncased_Banking77
Base model
google-bert/bert-base-multilingual-cased