HuBERT-LARGE-F5-New
This model is a fine-tuned version of facebook/hubert-large-ls960-ft on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8957
- Accuracy: 0.8026
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0128 | 0.5714 | 400 | 0.9888 | 0.5866 |
| 0.9791 | 1.1429 | 800 | 0.8602 | 0.6831 |
| 0.8077 | 1.7143 | 1200 | 0.8283 | 0.7246 |
| 0.2678 | 2.2857 | 1600 | 0.8748 | 0.7260 |
| 0.6564 | 2.8571 | 2000 | 0.7661 | 0.7568 |
| 0.1334 | 3.4286 | 2400 | 0.7627 | 0.7711 |
| 0.2002 | 4.0 | 2800 | 0.7838 | 0.7754 |
| 0.4461 | 4.5714 | 3200 | 0.8242 | 0.7854 |
| 0.0927 | 5.1429 | 3600 | 0.8513 | 0.7797 |
| 0.6988 | 5.7143 | 4000 | 0.8268 | 0.7911 |
| 0.468 | 6.2857 | 4400 | 0.9100 | 0.7797 |
| 1.7041 | 6.8571 | 4800 | 0.8209 | 0.8011 |
| 0.561 | 7.4286 | 5200 | 0.8592 | 0.7983 |
| 0.4816 | 8.0 | 5600 | 0.8902 | 0.7990 |
| 0.5653 | 8.5714 | 6000 | 0.8957 | 0.8026 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1