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# Whisper Large Ur

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 14.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5723
- Wer: 32.2031

## 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: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0147        | 9.06  | 1000 | 0.5723          | 32.2031 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0

{"language": ["ur"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_14_0"], "metrics": ["wer"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "Whisper Large Ur", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Common Voice 14.0", "type": "mozilla-foundation/common_voice_14_0", "config": "ur", "split": "test", "args": "ur"}, "metrics": [{"type": "wer", "value": 32.20306217135787, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition whisper-event generated_from_trainer ur dataset:mozilla-foundation/common_voice_14_0 base_model:openai/whisper-large-v2 license:apache-2.0 model-index endpoints_compatible region:us