efl-finetuned-cola
This model is a fine-tuned version of nghuyong/ernie-2.0-en on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.4688
- Matthews Correlation: 0.6098
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: 3e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 134 | 0.4795 | 0.5403 |
| No log | 2.0 | 268 | 0.4061 | 0.6082 |
| No log | 3.0 | 402 | 0.4688 | 0.6098 |
| 0.2693 | 4.0 | 536 | 0.5332 | 0.6050 |
| 0.2693 | 5.0 | 670 | 0.6316 | 0.6098 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
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