---
language:
- fa
base_model: makhataei/Whisper-Small-Common-Voice
tags:
- fa-asr
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: Whisper Small Persian
  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 Persian

This model is a fine-tuned version of [makhataei/Whisper-Small-Common-Voice](https://huggingface.co/makhataei/Whisper-Small-Common-Voice) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7188
- Wer: 45.7630

## 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-07
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0078        | 0.02  | 10   | 0.7181          | 45.7538 |
| 0.0033        | 0.03  | 20   | 0.7180          | 45.8093 |
| 0.0007        | 0.05  | 30   | 0.7180          | 45.7861 |
| 0.0006        | 0.06  | 40   | 0.7182          | 45.7792 |
| 0.0007        | 0.08  | 50   | 0.7185          | 45.7653 |
| 0.0007        | 0.09  | 60   | 0.7187          | 45.7630 |
| 0.0006        | 0.11  | 70   | 0.7187          | 45.7653 |
| 0.0037        | 0.12  | 80   | 0.7187          | 45.7700 |
| 0.0007        | 0.14  | 90   | 0.7188          | 45.7607 |
| 0.0005        | 0.15  | 100  | 0.7188          | 45.7630 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0