distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6055
- Matthews Correlation: 0.5321
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 |
---|---|---|---|---|
0.5174 | 1.0 | 535 | 0.4610 | 0.4584 |
0.342 | 2.0 | 1070 | 0.4699 | 0.5176 |
0.2337 | 3.0 | 1605 | 0.6055 | 0.5321 |
0.1728 | 4.0 | 2140 | 0.8054 | 0.5087 |
0.1264 | 5.0 | 2675 | 0.8455 | 0.5193 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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