---
library_name: peft
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: whisper-large-v3-turbo-Punjabi-Version1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# whisper-large-v3-turbo-Punjabi-Version1

This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3767
- Wer: 56.5078

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 20000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer     |
|:-------------:|:-------:|:-----:|:---------------:|:-------:|
| 0.2097        | 15.625  | 2000  | 0.3250          | 59.6746 |
| 0.138         | 31.25   | 4000  | 0.2924          | 56.5078 |
| 0.0979        | 46.875  | 6000  | 0.2903          | 54.3870 |
| 0.0732        | 62.5    | 8000  | 0.3096          | 55.8977 |
| 0.0528        | 78.125  | 10000 | 0.3214          | 53.8059 |
| 0.0421        | 93.75   | 12000 | 0.3443          | 56.4207 |
| 0.0299        | 109.375 | 14000 | 0.3594          | 55.2876 |
| 0.0267        | 125.0   | 16000 | 0.3767          | 56.5078 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0