test-trainer
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5437
- Model Preparation Time: 0.0029
- Accuracy: 0.8431
- F1: 0.8900
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: 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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | F1 |
|---|
| No log | 1.0 | 459 | 0.4754 | 0.0029 | 0.7990 | 0.8647 |
| 0.5998 | 2.0 | 918 | 0.3941 | 0.0029 | 0.8431 | 0.8861 |
| 0.4083 | 3.0 | 1377 | 0.5437 | 0.0029 | 0.8431 | 0.8900 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1
- Datasets 3.5.0
- Tokenizers 0.19.1
