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xlm-roberta-large-finetuned-cola
This model is a fine-tuned version of xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1456
- Matthews Correlation: 0.9419
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4465 | 1.0 | 606 | 0.4478 | 0.5033 |
| 0.364 | 2.0 | 1212 | 0.2318 | 0.8500 |
| 0.2294 | 3.0 | 1818 | 0.1767 | 0.9045 |
| 0.16 | 4.0 | 2424 | 0.1353 | 0.9343 |
| 0.0739 | 5.0 | 3030 | 0.1456 | 0.9419 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
