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data2vec-text-base-finetuned-mrpc
This model is a fine-tuned version of facebook/data2vec-text-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.4087
- Accuracy: 0.8627
- F1: 0.8993
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: 9.486061628311107e-06
- train_batch_size: 4
- eval_batch_size: 16
- seed: 19
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6197 | 1.0 | 917 | 0.4720 | 0.8039 | 0.8606 |
| 0.4763 | 2.0 | 1834 | 0.4087 | 0.8627 | 0.8993 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
