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-persian
results: []
ExHubert-fine-tuned-persian
This model is a fine-tuned version of amiriparian/ExHuBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9696
- Accuracy: 0.8054
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: 1
- eval_batch_size: 1
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0028 | 1.0 | 736 | 1.2014 | 0.7676 |
| 2.6939 | 2.0 | 1472 | 0.7666 | 0.8216 |
| 0.0031 | 3.0 | 2208 | 0.8783 | 0.8108 |
| 0.0834 | 4.0 | 2944 | 0.9696 | 0.8054 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0