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# whisper-medium-tamil

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0692
- Wer: 77.1402

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 2.86  | 250  | 0.6869          | 77.1402 |
| No log        | 5.71  | 500  | 0.8673          | 77.9712 |
| No log        | 8.57  | 750  | 1.0133          | 77.1872 |
| 0.1925        | 11.43 | 1000 | 1.0692          | 77.1402 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1

{"language": ["ta"], "license": "apache-2.0", "tags": ["Tamil-ASR", "generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "whisper-medium-tamil", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition Tamil-ASR generated_from_trainer ta base_model:openai/whisper-large-v3 license:apache-2.0 endpoints_compatible region:us