metadata
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: amiriparian/ExHuBERT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ExHubert_fine-tuned
results: []
ExHubert_fine-tuned
This model is a fine-tuned version of amiriparian/ExHuBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5088
- Accuracy: 0.8223
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6221 | 1.0 | 185 | 0.5979 | 0.6757 |
| 0.6233 | 2.0 | 370 | 0.4852 | 0.7938 |
| 0.7272 | 3.0 | 555 | 0.4642 | 0.8087 |
| 0.7101 | 4.0 | 740 | 0.4791 | 0.8182 |
| 0.4366 | 5.0 | 925 | 0.5088 | 0.8223 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0