---
language:
- fa
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Fa - BuzzyBuzzy
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      config: fa
      split: test
      args: 'config: fa, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 34.25970890624783
---

<!-- 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 Fa - BuzzyBuzzy

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6904
- Wer: 34.2597

## 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: 16
- eval_batch_size: 16
- 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: 20000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0099        | 0.86  | 2000  | 0.6116          | 37.0499 |
| 0.0079        | 1.72  | 4000  | 0.6340          | 37.3746 |
| 0.0069        | 2.58  | 6000  | 0.6159          | 35.9455 |
| 0.0015        | 3.44  | 8000  | 0.6187          | 35.3281 |
| 0.0009        | 4.3   | 10000 | 0.6449          | 35.0783 |
| 0.0007        | 5.15  | 12000 | 0.6440          | 34.8452 |
| 0.0002        | 6.01  | 14000 | 0.6664          | 34.3263 |
| 0.0001        | 6.87  | 16000 | 0.6817          | 34.3471 |
| 0.0           | 7.73  | 18000 | 0.6809          | 34.1737 |
| 0.0           | 8.59  | 20000 | 0.6904          | 34.2597 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2