superb_ks_42
This model is a fine-tuned version of facebook/hubert-base-ls960 on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 84.4856
- Accuracy: 0.6214
- Test Accuracy: 0.6214
- Df Accuracy: 0.2380
- Unlearn Overall Accuracy: 0.6917
- Unlearn Time: 1183.4350
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 1565 | 84.4856 | 0.2380 | 0.6917 | 0.6917 | -1 |
| 0.0 | 2.0 | 3130 | 363.7596 | 0.3800 | 0.6257 | 0.6257 | -1 |
| 0.0 | 3.0 | 4695 | 714.0270 | 0.4006 | 0.6171 | 0.6171 | -1 |
| 0.0 | 4.0 | 6260 | 971.4188 | 0.2635 | 0.6789 | 0.6789 | -1 |
| 0.0 | 5.0 | 7825 | 1100.3213 | 0.2449 | 0.6880 | 0.6880 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2