hubert-base-ls960-2clsfinetuned-bmd-V1-epo10-20250201_141430-LOSO-section-out4
This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4886
- Accuracy: 0.7826
- F1: 0.7826
- Precision: 0.7856
- Recall: 0.7826
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1968
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 6 | 0.6795 | 0.5652 | 0.5145 | 0.6430 | 0.5652 |
| 0.6429 | 2.0 | 12 | 0.6508 | 0.6957 | 0.6922 | 0.7133 | 0.6957 |
| 0.6429 | 3.0 | 18 | 0.5901 | 0.7391 | 0.7288 | 0.7686 | 0.7391 |
| 0.5306 | 4.0 | 24 | 0.6976 | 0.6522 | 0.6441 | 0.6783 | 0.6522 |
| 0.4812 | 5.0 | 30 | 0.6430 | 0.6957 | 0.6590 | 0.8078 | 0.6957 |
| 0.4812 | 6.0 | 36 | 0.6919 | 0.6522 | 0.5963 | 0.7913 | 0.6522 |
| 0.4336 | 7.0 | 42 | 0.4892 | 0.7826 | 0.7826 | 0.7856 | 0.7826 |
| 0.4336 | 8.0 | 48 | 0.4931 | 0.7826 | 0.7826 | 0.7856 | 0.7826 |
| 0.3751 | 8.3810 | 50 | 0.4886 | 0.7826 | 0.7826 | 0.7856 | 0.7826 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0