fine-tuned-model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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: 5e-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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Score | Jaccard Score | Average Precision Score | Percentage Examples At Least 1 True |
|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 5 | 0.6742 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2880 | 0.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3