---
library_name: transformers
language:
- ps
base_model: ihanif/whisper-small-tunning-v2
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
model-index:
- name: Whisper Small PS - CV20-2
  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 Small PS - CV20-2

This model is a fine-tuned version of [ihanif/whisper-small-tunning-v2](https://huggingface.co/ihanif/whisper-small-tunning-v2) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5003
- eval_wer_ortho: 50.2740
- eval_wer: 47.0378
- eval_runtime: 854.5233
- eval_samples_per_second: 3.278
- eval_steps_per_second: 0.051
- epoch: 0.5128
- step: 400

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0