---
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: 0.7217
- Wer: 45.6220

## 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: 50
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0013        | 0.15  | 100  | 0.7201          | 45.7700 |
| 0.0015        | 0.31  | 200  | 0.7220          | 45.7908 |
| 0.0019        | 0.46  | 300  | 0.7212          | 45.6382 |
| 0.0021        | 0.61  | 400  | 0.7229          | 45.7630 |
| 0.0025        | 0.77  | 500  | 0.7226          | 45.5943 |
| 0.0068        | 0.92  | 600  | 0.7229          | 46.1213 |
| 0.0293        | 1.07  | 700  | 0.7215          | 45.7075 |
| 0.0021        | 1.23  | 800  | 0.7215          | 45.6290 |
| 0.0025        | 1.38  | 900  | 0.7217          | 45.6151 |
| 0.0023        | 1.53  | 1000 | 0.7217          | 45.6220 |


### Framework versions

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