openai/whisper-tiny
This model is a fine-tuned version of openai/whisper-tiny on the Hanhpt23/GermanMed dataset. It achieves the following results on the evaluation set:
- Loss: 5.8433
- Wer: 107.4053
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: 0.0001
- train_batch_size: 8
- 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_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.2151 | 1.0 | 765 | 3.6892 | 145.0057 |
| 2.4608 | 2.0 | 1530 | 3.7770 | 102.6980 |
| 1.8089 | 3.0 | 2295 | 4.0128 | 125.0287 |
| 1.3185 | 4.0 | 3060 | 4.2434 | 104.7072 |
| 0.8036 | 5.0 | 3825 | 4.5708 | 111.1940 |
| 0.464 | 6.0 | 4590 | 4.7913 | 128.3582 |
| 0.2689 | 7.0 | 5355 | 4.9963 | 117.8530 |
| 0.1899 | 8.0 | 6120 | 5.1768 | 108.7256 |
| 0.192 | 9.0 | 6885 | 5.2917 | 103.8462 |
| 0.128 | 10.0 | 7650 | 5.4184 | 105.2813 |
| 0.1435 | 11.0 | 8415 | 5.5027 | 115.8439 |
| 0.1201 | 12.0 | 9180 | 5.6452 | 110.9070 |
| 0.1328 | 13.0 | 9945 | 5.6889 | 122.4455 |
| 0.0979 | 14.0 | 10710 | 5.6940 | 113.2032 |
| 0.1165 | 15.0 | 11475 | 5.7213 | 108.5534 |
| 0.0978 | 16.0 | 12240 | 5.7604 | 105.7405 |
| 0.0927 | 17.0 | 13005 | 5.7672 | 105.9127 |
| 0.0829 | 18.0 | 13770 | 5.7777 | 106.1998 |
| 0.0974 | 19.0 | 14535 | 5.7957 | 110.3904 |
| 0.0998 | 20.0 | 15300 | 5.8433 | 107.4053 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1