platzi-distilbert-base-uncased-mrpc-glue-Lukas-Bustosg
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: 0.5464
- Accuracy: 0.8358
- F1: 0.8855
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 |
---|---|---|---|---|---|
0.54 | 1.09 | 500 | 0.5464 | 0.8358 | 0.8855 |
0.3746 | 2.18 | 1000 | 0.6347 | 0.8137 | 0.8527 |
Framework versions
- Transformers 4.29.0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.13.3
- Downloads last month
- 1