superb_ks_42
This model is a fine-tuned version of openai/whisper-base on the superb dataset. It achieves the following results on the evaluation set:
- Loss: -9.7860
- Accuracy: 0.6209
- Test Accuracy: 0.6209
- Df Accuracy: 0.1331
- Unlearn Overall Accuracy: 0.7439
- Unlearn Time: 1310.8787
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 | -9.7860 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 2.0 | 192 | -29.0068 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 3.0 | 288 | -51.2519 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 4.0 | 384 | -74.5230 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 5.0 | 480 | -96.9840 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 6.0 | 576 | -117.2810 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 7.0 | 672 | -134.2495 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 8.0 | 768 | -147.0133 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 9.0 | 864 | -154.9318 | 0.1331 | 0.7439 | 0.7439 | -1 |
| No log | 10.0 | 960 | -157.6337 | 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