distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 1.0426
- Matthews Correlation: 0.3558
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: 4.0180563319684876e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 36
- 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 | 54 | 0.5807 | 0.0 |
| No log | 2.0 | 108 | 0.6416 | 0.2717 |
| No log | 3.0 | 162 | 0.7327 | 0.3380 |
| No log | 4.0 | 216 | 0.9711 | 0.3521 |
| No log | 5.0 | 270 | 1.0426 | 0.3558 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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Dataset used to train Jcfranco/distilbert-base-uncased-finetuned-cola
Evaluation results
- Matthews Correlation on gluevalidation set self-reported0.356