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# jssaluja/paath-sggs-whisper-1-epoch

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the jssaluja/paath_sggs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0582

## 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: 0.001
- train_batch_size: 8
- 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: 50
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1744        | 0.26  | 250  | 0.0974          |
| 0.0788        | 0.52  | 500  | 0.0747          |
| 0.0637        | 0.78  | 750  | 0.0582          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1
{"language": ["pa"], "license": "apache-2.0", "library_name": "peft", "tags": ["audio", "automatic-speech-recognition", "hf-asr-leaderboard", "endpoints_compatible", "generated_from_trainer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "jssaluja/paath-sggs-whisper-1-epoch", "results": []}]}
peft tensorboard safetensors audio automatic-speech-recognition hf-asr-leaderboard endpoints_compatible generated_from_trainer pa base_model:openai/whisper-large-v3 license:apache-2.0 region:us