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# CKSINGH whisper-small-hi-fiefox

This model is a fine-tuned version of [CKSINGH/whisper-small-hi-iiib](https://huggingface.co/CKSINGH/whisper-small-hi-iiib) on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2473
- Wer: 11.4253
- Cer: 7.5700

## 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: 1.75e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
| 0.0382        | 3.57  | 1000 | 0.2021          | 12.8043 | 8.1173 |
| 0.0027        | 7.14  | 2000 | 0.2321          | 11.6614 | 7.6820 |
| 0.0001        | 10.71 | 3000 | 0.2473          | 11.4253 | 7.5700 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"language": ["hi"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "metrics": ["wer"], "base_model": "CKSINGH/whisper-small-hi-iiib", "model-index": [{"name": "CKSINGH whisper-small-hi-fiefox", "results": []}]}
transformers pytorch tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer hi base_model:CKSINGH/whisper-small-hi-iiib license:apache-2.0 endpoints_compatible region:us