bert_prof_single_128_below_100
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6716
- Accuracy: 0.8674
- F1: 0.8658
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|
| 0.7447 | 1.0 | 6885 | 0.6995 | 0.8267 | 0.8151 |
| 0.5834 | 2.0 | 13770 | 0.6181 | 0.8436 | 0.8391 |
| 0.4465 | 3.0 | 20655 | 0.5877 | 0.8585 | 0.8551 |
| 0.3559 | 4.0 | 27540 | 0.6168 | 0.8638 | 0.8616 |
| 0.2515 | 5.0 | 34425 | 0.6300 | 0.8710 | 0.8692 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
