CoLA
This model is a fine-tuned version of FacebookAI/roberta-large on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.3898
- Matthews Correlation: 0.6506
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| No log | 1.0 | 134 | 0.4051 | 0.5939 |
| No log | 2.0 | 268 | 0.4063 | 0.6259 |
| No log | 3.0 | 402 | 0.3898 | 0.6506 |
| 0.3265 | 4.0 | 536 | 0.5071 | 0.6048 |
| 0.3265 | 5.0 | 670 | 0.4976 | 0.6332 |
| 0.3265 | 6.0 | 804 | 0.5763 | 0.6385 |
Framework versions
- Transformers 4.43.3
- Pytorch 1.11.0+cu113
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
FacebookAI/roberta-large