ExHubert-fine-tuned-persian2
This model is a fine-tuned version of amiriparian/ExHuBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6600
- Accuracy: 0.6270
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4707 | 1.0 | 736 | 1.1895 | 0.6054 |
| 1.2182 | 2.0 | 1472 | 0.8222 | 0.6973 |
| 0.7311 | 3.0 | 2208 | 0.6600 | 0.6270 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for vargha/ExHubert-fine-tuned-persian2
Base model
amiriparian/ExHuBERT