Whisper Small Uzbek
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 uz dataset. It achieves the following results on the evaluation set:
- Loss: 0.4357
- Wer: 25.7857
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 8000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3621 | 1.03 | 1000 | 0.4819 | 32.3209 |
| 0.2378 | 2.07 | 2000 | 0.4413 | 29.0077 |
| 0.2342 | 4.01 | 3000 | 0.4224 | 27.3939 |
| 0.1286 | 5.04 | 4000 | 0.4357 | 25.7857 |
| 0.1192 | 6.08 | 5000 | 0.4727 | 27.2752 |
| 0.0147 | 8.02 | 6000 | 0.5230 | 26.7267 |
| 0.0425 | 9.05 | 7000 | 0.5336 | 26.3628 |
| 0.0059 | 10.08 | 8000 | 0.5658 | 26.8476 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
- Downloads last month
- 41
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train shivkumarganesh/whisper-small-uz-v1
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 uztest set self-reported25.786