XLMR-ENIS-finetuned-cola
This model is a fine-tuned version of vesteinn/XLMR-ENIS on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7311
- Matthews Correlation: 0.6306
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 |
|---|---|---|---|---|
| 0.5216 | 1.0 | 535 | 0.5836 | 0.4855 |
| 0.3518 | 2.0 | 1070 | 0.4426 | 0.5962 |
| 0.2538 | 3.0 | 1605 | 0.5091 | 0.6110 |
| 0.1895 | 4.0 | 2140 | 0.6955 | 0.6136 |
| 0.1653 | 5.0 | 2675 | 0.7311 | 0.6306 |
Framework versions
- Transformers 4.10.3
- Pytorch 1.9.0+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3
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