Transformers course
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Collection for the UU transformers course.
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distilbert-base-uncased-finetuned-cola-midterm
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: 0.8304
- Matthews Correlation: 0.5496
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 |
|---|---|---|---|---|
| 0.5196 | 1.0 | 535 | 0.4626 | 0.4641 |
| 0.343 | 2.0 | 1070 | 0.4615 | 0.5355 |
| 0.2381 | 3.0 | 1605 | 0.6114 | 0.5354 |
| 0.1716 | 4.0 | 2140 | 0.7607 | 0.5311 |
| 0.1273 | 5.0 | 2675 | 0.8304 | 0.5496 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for kbberendsen/distilbert-base-uncased-finetuned-cola-midterm
Base model
distilbert/distilbert-base-uncased