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distilroberts-base-mrpc-glue-jeraldflowers
This model is a fine-tuned version of distilroberta-base on the glue and the mrpc datasets. It achieves the following results on the evaluation set:
- Loss: 0.4990
- Accuracy: 0.8431
- F1: 0.8815
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5289 | 1.09 | 500 | 0.5668 | 0.8211 | 0.8689 |
| 0.3675 | 2.18 | 1000 | 0.4990 | 0.8431 | 0.8815 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
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Dataset used to train jeraldflowers/distilroberts-base-mrpc-glue-jeraldflowers
Evaluation results
- Accuracy on glueself-reported0.843
- F1 on glueself-reported0.881