openai/whisper-tiny
This model is a fine-tuned version of openai/whisper-tiny on the pphuc25/EngMed dataset. It achieves the following results on the evaluation set:
- Loss: 1.6241
- Wer: 29.3019
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 |
|---|---|---|---|---|
| 0.8114 | 1.0 | 2266 | 0.8947 | 35.8609 |
| 0.5582 | 2.0 | 4532 | 0.9096 | 44.9746 |
| 0.3646 | 3.0 | 6798 | 0.9616 | 33.8310 |
| 0.2497 | 4.0 | 9064 | 1.0257 | 35.3593 |
| 0.1953 | 5.0 | 11330 | 1.1146 | 33.6587 |
| 0.1151 | 6.0 | 13596 | 1.2047 | 35.6933 |
| 0.083 | 7.0 | 15862 | 1.2631 | 32.3759 |
| 0.068 | 8.0 | 18128 | 1.3303 | 33.5213 |
| 0.0389 | 9.0 | 20394 | 1.3732 | 31.8373 |
| 0.0272 | 10.0 | 22660 | 1.4187 | 32.7587 |
| 0.0244 | 11.0 | 24926 | 1.4516 | 32.2493 |
| 0.0173 | 12.0 | 27192 | 1.4985 | 32.1704 |
| 0.0109 | 13.0 | 29458 | 1.5192 | 31.6727 |
| 0.0045 | 14.0 | 31724 | 1.5456 | 30.2837 |
| 0.0043 | 15.0 | 33990 | 1.5739 | 30.1902 |
| 0.0017 | 16.0 | 36256 | 1.5916 | 30.6646 |
| 0.0006 | 17.0 | 38522 | 1.6012 | 29.8425 |
| 0.0002 | 18.0 | 40788 | 1.6050 | 29.3857 |
| 0.0013 | 19.0 | 43054 | 1.6176 | 29.7792 |
| 0.0001 | 20.0 | 45320 | 1.6241 | 29.3019 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1