---
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: 0.8716
- Wer: 52.4832

## 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-08
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0002        | 0.16  | 100  | 0.8707          | 51.8989 |
| 0.0002        | 0.31  | 200  | 0.8713          | 52.1447 |
| 0.0002        | 0.47  | 300  | 0.8716          | 52.1377 |
| 0.0002        | 0.62  | 400  | 0.8717          | 52.2907 |
| 0.0015        | 0.78  | 500  | 0.8718          | 52.4762 |
| 0.0002        | 0.93  | 600  | 0.8716          | 52.4878 |
| 0.0002        | 1.09  | 700  | 0.8716          | 52.4901 |
| 0.0001        | 1.25  | 800  | 0.8716          | 52.4832 |
| 0.0002        | 1.4   | 900  | 0.8716          | 52.4832 |
| 0.0002        | 1.56  | 1000 | 0.8716          | 52.4832 |


### Framework versions

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