cmaytadatag1-distilroberta-base-mrpc-glue-cmayta
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8443
- Accuracy: 0.8480
- F1: 0.8920
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.393 | 1.0893 | 500 | 0.8579 | 0.8309 | 0.8832 |
| 0.2313 | 2.1786 | 1000 | 0.8443 | 0.8480 | 0.8920 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for cmaytadatag1/cmaytadatag1-distilroberta-base-mrpc-glue-cmayta
Base model
distilbert/distilroberta-base