superb_si_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: 2.3923
- Accuracy: 0.4671
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: 4
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.7888 | 1.0 | 4324 | 5.9141 | 0.0261 |
| 4.1883 | 2.0 | 8648 | 4.3523 | 0.1346 |
| 3.3463 | 3.0 | 12972 | 3.6806 | 0.2163 |
| 2.6753 | 4.0 | 17296 | 3.2638 | 0.2807 |
| 2.3032 | 5.0 | 21620 | 2.9113 | 0.3610 |
| 2.0252 | 6.0 | 25944 | 2.8073 | 0.3734 |
| 1.7579 | 7.0 | 30268 | 2.5918 | 0.4216 |
| 1.5959 | 8.0 | 34592 | 2.5087 | 0.4415 |
| 1.4736 | 9.0 | 38916 | 2.4714 | 0.4494 |
| 1.3673 | 10.0 | 43240 | 2.3923 | 0.4671 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1