superb_ks_42
This model is a fine-tuned version of openai/whisper-tiny on the superb dataset. It achieves the following results on the evaluation set:
- Loss: -9.2999
- Accuracy: 0.6209
- Test Accuracy: 0.6209
- Df Accuracy: 0.1331
- Unlearn Overall Accuracy: 0.7439
- Unlearn Time: 675.4841
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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 96 | -9.2999 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 2.0 | 192 | -27.3510 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 3.0 | 288 | -47.5714 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 4.0 | 384 | -68.4976 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 5.0 | 480 | -88.5276 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 6.0 | 576 | -106.5174 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 7.0 | 672 | -121.4909 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 8.0 | 768 | -132.7186 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 9.0 | 864 | -139.6714 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 10.0 | 960 | -142.0401 | 0.1331 | 0.7439 | 0.7439 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2