platzi-distilroberta-base-mrpc-glue-hector-nieto
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: 0.4723
- Accuracy: 0.8407
- F1: 0.8889
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 OptimizerNames.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 |
|---|---|---|---|---|---|
| 0.5407 | 1.0893 | 500 | 0.4723 | 0.8407 | 0.8889 |
| 0.3421 | 2.1786 | 1000 | 0.6403 | 0.8480 | 0.8912 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0
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Model tree for Hector00/platzi-distilroberta-base-mrpc-glue-hector-nieto
Base model
distilbert/distilroberta-base