bert-large-uncased-swag-full
This model is a fine-tuned version of google-bert/bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5367
- Accuracy: 0.8024
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: 16
- 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 | Accuracy |
|---|---|---|---|---|
| 0.7878 | 1.0 | 4597 | 0.6288 | 0.7612 |
| 0.4475 | 2.0 | 9194 | 0.6195 | 0.7849 |
| 0.215 | 3.0 | 13791 | 0.7408 | 0.7893 |
| 0.0957 | 4.0 | 18388 | 1.3131 | 0.7976 |
| 0.0274 | 5.0 | 22985 | 1.5367 | 0.8024 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for yefo-ufpe/bert-large-uncased-swag-full
Base model
google-bert/bert-large-uncased