metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: small
results: []
small
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1318
- Accuracy: 0.9636
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3269 | 1.0 | 873 | 0.1855 | 0.9510 |
| 0.1494 | 2.0 | 1746 | 0.1318 | 0.9636 |
| 0.0892 | 3.0 | 2619 | 0.1390 | 0.9548 |
| 0.0664 | 4.0 | 3492 | 0.1687 | 0.9716 |
| 0.0368 | 5.0 | 4365 | 0.1591 | 0.9702 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3