bert-base-uncased-finetuned-swag-finetuned-enem
This model is a fine-tuned version of gueleilo/bert-base-uncased-finetuned-swag on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0570
- Accuracy: 0.9850
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: 2
- eval_batch_size: 2
- 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 | Accuracy |
|---|---|---|---|---|
| 0.5976 | 1.0 | 933 | 1.1620 | 0.6795 |
| 1.1214 | 2.0 | 1866 | 0.1576 | 0.9593 |
| 0.3663 | 3.0 | 2799 | 0.0570 | 0.9850 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for gueleilo/bert-base-uncased-finetuned-swag-finetuned-enem
Base model
google-bert/bert-base-uncased