---
language:
- fa
license: apache-2.0
base_model: makhataei/Whisper-Small-Common-Voice
tags:
- fa-asr
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_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 16.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7543
- Wer: 46.0283

## 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: 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: 50
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0137        | 0.16  | 100  | 0.7336          | 48.8685 |
| 0.0153        | 0.31  | 200  | 0.7163          | 45.0962 |
| 0.016         | 0.47  | 300  | 0.7235          | 45.9726 |
| 0.0133        | 0.62  | 400  | 0.7356          | 45.7130 |
| 0.0186        | 0.78  | 500  | 0.6912          | 44.0760 |
| 0.012         | 0.93  | 600  | 0.6939          | 44.9664 |
| 0.0092        | 1.09  | 700  | 0.7184          | 44.8180 |
| 0.0071        | 1.25  | 800  | 0.7321          | 44.0691 |
| 0.0072        | 1.4   | 900  | 0.7485          | 46.3714 |
| 0.0061        | 1.56  | 1000 | 0.7180          | 44.9502 |
| 0.0063        | 1.71  | 1100 | 0.7036          | 46.2741 |
| 0.004         | 1.87  | 1200 | 0.7296          | 45.0684 |
| 0.0036        | 2.03  | 1300 | 0.7275          | 46.3158 |
| 0.002         | 2.18  | 1400 | 0.7432          | 45.9332 |
| 0.0014        | 2.34  | 1500 | 0.7472          | 45.5692 |
| 0.0012        | 2.49  | 1600 | 0.7408          | 44.7902 |
| 0.0201        | 2.65  | 1700 | 0.7566          | 45.7593 |
| 0.0011        | 2.8   | 1800 | 0.7551          | 45.3327 |
| 0.0011        | 2.96  | 1900 | 0.7550          | 46.1720 |
| 0.0004        | 3.12  | 2000 | 0.7543          | 46.0283 |


### Framework versions

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