my_awesome_swag_model
This model is a fine-tuned version of bert-base-uncased on the swag dataset. It achieves the following results on the evaluation set:
- Loss: 1.0449
- Accuracy: 0.7878
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7784 | 1.0 | 4597 | 0.5916 | 0.7655 |
| 0.3817 | 2.0 | 9194 | 0.6262 | 0.7813 |
| 0.1508 | 3.0 | 13791 | 1.0449 | 0.7878 |
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 logichacker/my_awesome_swag_model
Base model
google-bert/bert-base-uncased