metadata
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-finetune
results: []
whisper-tiny-finetune
This model is a fine-tuned version of openai/whisper-tiny.en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4696
- Wer: 19.7170
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: 1e-05
- train_batch_size: 128
- 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: 90
- training_steps: 180
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.9026 | 0.2778 | 10 | 3.8176 | 40.1572 |
| 3.5226 | 0.5556 | 20 | 3.3623 | 34.1509 |
| 2.9307 | 0.8333 | 30 | 2.6468 | 32.2642 |
| 2.0034 | 1.1111 | 40 | 1.6171 | 33.7736 |
| 1.0812 | 1.3889 | 50 | 0.8580 | 29.9371 |
| 0.7061 | 1.6667 | 60 | 0.6809 | 27.0755 |
| 0.5945 | 1.9444 | 70 | 0.6080 | 25.1258 |
| 0.532 | 2.2222 | 80 | 0.5639 | 23.3962 |
| 0.5035 | 2.5 | 90 | 0.5357 | 22.2642 |
| 0.4955 | 2.7778 | 100 | 0.5125 | 21.0063 |
| 0.4208 | 3.0556 | 110 | 0.4960 | 20.6604 |
| 0.353 | 3.3333 | 120 | 0.4878 | 20.0 |
| 0.3453 | 3.6111 | 130 | 0.4817 | 19.8113 |
| 0.3945 | 3.8889 | 140 | 0.4768 | 19.8113 |
| 0.3273 | 4.1667 | 150 | 0.4727 | 19.8742 |
| 0.2941 | 4.4444 | 160 | 0.4713 | 19.7799 |
| 0.3131 | 4.7222 | 170 | 0.4708 | 19.2767 |
| 0.2948 | 5.0 | 180 | 0.4696 | 19.7170 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.3.dev0
- Tokenizers 0.19.1