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: -7.2606
- Accuracy: 0.6209
- Test Accuracy: 0.6209
- Df Accuracy: 0.1352
- Unlearn Overall Accuracy: 0.7429
- Unlearn Time: 829.4115
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 | 32 | -0.1314 | 0.9785 | 0.5018 | 0.5018 | -1 |
| No log | 2.0 | 64 | -7.2606 | 0.1352 | 0.7429 | 0.7429 | -1 |
| No log | 3.0 | 96 | -11.9370 | 0.1352 | 0.7429 | 0.7429 | -1 |
| No log | 4.0 | 128 | -16.1238 | 0.1352 | 0.7429 | 0.7429 | -1 |
| No log | 5.0 | 160 | -19.9103 | 0.1352 | 0.7429 | 0.7429 | -1 |
| No log | 6.0 | 192 | -23.1913 | 0.1352 | 0.7429 | 0.7429 | -1 |
| No log | 7.0 | 224 | -25.8657 | 0.1352 | 0.7429 | 0.7429 | -1 |
| No log | 8.0 | 256 | -27.8355 | 0.1352 | 0.7429 | 0.7429 | -1 |
| No log | 9.0 | 288 | -29.0379 | 0.1352 | 0.7429 | 0.7429 | -1 |
| No log | 10.0 | 320 | -29.4492 | 0.1352 | 0.7429 | 0.7429 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2