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platzi-distilroberta-base-mrpc-glue-gabriel-ichcanziho
This model is a fine-tuned version of distilroberta-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.8059
- Accuracy: 0.8456
- F1: 0.8869
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.538 | 1.09 | 500 | 0.5544 | 0.7941 | 0.8456 |
| 0.3673 | 2.18 | 1000 | 0.6700 | 0.8333 | 0.8794 |
| 0.1984 | 3.27 | 1500 | 0.8059 | 0.8456 | 0.8869 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2
