cm124057-01
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: 0.8311
- Matthews Correlation: 0.5373
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 |
---|---|---|---|---|
0.5197 | 1.0 | 535 | 0.4535 | 0.4636 |
0.3446 | 2.0 | 1070 | 0.4631 | 0.5118 |
0.2344 | 3.0 | 1605 | 0.6146 | 0.5314 |
0.1653 | 4.0 | 2140 | 0.7437 | 0.5000 |
0.1263 | 5.0 | 2675 | 0.8311 | 0.5373 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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