fine-tune-claim
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2898
- F1: 0.8743
- Accuracy: 0.8783
- Jaccard: 0.8130
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Jaccard |
|---|
| 0.3877 | 1.0 | 1513 | 0.4348 | 0.7788 | 0.7859 | 0.5861 |
| 0.3226 | 2.0 | 3026 | 0.4226 | 0.7852 | 0.7938 | 0.5903 |
| 0.2651 | 3.0 | 4539 | 0.4594 | 0.7797 | 0.7924 | 0.5710 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
