hubert-base-superb-er-3kfoldfull15-finetuned-bmd-20250824_100720-LOSO-section-out1
This model is a fine-tuned version of superb/hubert-base-superb-er on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0314
- Accuracy: 0.5
- F1: 0.4905
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: 8
- eval_batch_size: 8
- seed: 1968
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 3 | 1.1067 | 0.3333 | 0.1667 |
| No log | 2.0 | 6 | 1.1031 | 0.375 | 0.2461 |
| No log | 3.0 | 9 | 1.0992 | 0.1667 | 0.125 |
| 1.0983 | 4.0 | 12 | 1.0958 | 0.3333 | 0.2626 |
| 1.0983 | 5.0 | 15 | 1.0929 | 0.2917 | 0.2536 |
| 1.0983 | 6.0 | 18 | 1.0903 | 0.3333 | 0.2296 |
| 1.0799 | 7.0 | 21 | 1.0874 | 0.3333 | 0.2296 |
| 1.0799 | 8.0 | 24 | 1.0820 | 0.3333 | 0.2296 |
| 1.0799 | 9.0 | 27 | 1.0754 | 0.3333 | 0.2775 |
| 1.057 | 10.0 | 30 | 1.0664 | 0.3333 | 0.2775 |
| 1.057 | 11.0 | 33 | 1.0563 | 0.3333 | 0.2775 |
| 1.057 | 12.0 | 36 | 1.0450 | 0.375 | 0.3333 |
| 1.057 | 13.0 | 39 | 1.0377 | 0.4167 | 0.3983 |
| 1.0304 | 14.0 | 42 | 1.0334 | 0.5 | 0.4905 |
| 1.0304 | 15.0 | 45 | 1.0314 | 0.5 | 0.4905 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4