language: | |
- uz | |
license: apache-2.0 | |
base_model: openai/whisper-small | |
tags: | |
- automatic-speech-recognition | |
- generated_from_trainer | |
metrics: | |
- wer | |
model-index: | |
- name: Whisper Small Uzbek | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# Whisper Small Uzbek | |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_13_0 dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.5058 | |
- Wer Ortho: 45.0514 | |
- Wer: 34.8505 | |
## 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: 16 | |
- eval_batch_size: 16 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: constant_with_warmup | |
- lr_scheduler_warmup_steps: 50 | |
- training_steps: 500 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | | |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| | |
| 0.4898 | 0.27 | 500 | 0.5058 | 45.0514 | 34.8505 | | |
### Framework versions | |
- Transformers 4.35.2 | |
- Pytorch 2.1.0+cu118 | |
- Datasets 2.15.0 | |
- Tokenizers 0.15.0 | |