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# Whisper Small Uz - Makhmud Jumanazarov

This model is a fine-tuned version of [openai/whisper](https://huggingface.co/openai/whisper) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3416
- Wer: 34.9285

## 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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4794        | 0.54  | 1000 | 0.4504          | 42.0722 |
| 0.313         | 1.08  | 2000 | 0.3821          | 38.9392 |
| 0.2948        | 1.62  | 3000 | 0.3468          | 35.4270 |
| 0.249         | 2.16  | 4000 | 0.3416          | 34.9285 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"language": ["uz"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Uz - Makhmud Jumanazarov", "results": []}]}
transformers safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer uz dataset:mozilla-foundation/common_voice_11_0 base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us