hubert-base-ls960-finetuned-bmd-V1-20241110_103816-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: 0.8940
- Accuracy: 0.5667
- F1: 0.5472
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: 8
- eval_batch_size: 8
- seed: 1968
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0.9333 | 7 | 1.0900 | 0.4 | 0.2628 |
| 1.1061 | 2.0 | 15 | 1.0551 | 0.4 | 0.2628 |
| 1.0768 | 2.9333 | 22 | 1.0304 | 0.5333 | 0.4540 |
| 1.0176 | 4.0 | 30 | 0.9738 | 0.4667 | 0.3599 |
| 1.0176 | 4.9333 | 37 | 0.8938 | 0.5333 | 0.4538 |
| 0.9959 | 6.0 | 45 | 0.8884 | 0.5333 | 0.4852 |
| 0.9677 | 6.9333 | 52 | 0.8874 | 0.6333 | 0.5708 |
| 0.7597 | 8.0 | 60 | 0.8811 | 0.6667 | 0.6629 |
| 0.7597 | 8.9333 | 67 | 0.8911 | 0.6 | 0.5761 |
| 0.7455 | 9.3333 | 70 | 0.8940 | 0.5667 | 0.5472 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3