distilbert-base-uncased-swag-full
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7135
- Accuracy: 0.6963
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 |
|---|---|---|---|---|
| 0.918 | 1.0 | 4597 | 0.8133 | 0.6691 |
| 0.5775 | 2.0 | 9194 | 0.8260 | 0.6879 |
| 0.3129 | 3.0 | 13791 | 1.0329 | 0.6933 |
| 0.1728 | 4.0 | 18388 | 1.8823 | 0.6927 |
| 0.0824 | 5.0 | 22985 | 2.7135 | 0.6963 |
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/distilbert-base-uncased-swag-full
Base model
distilbert/distilbert-base-uncased