---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
- fa-asr-leaderboard
- mozilla-foundation/common_voice_3_0
metrics:
- wer
model-index:
- name: whisper-tiny-fa
  results: []
language:
- fa
pipeline_tag: automatic-speech-recognition
---

<!-- 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-tiny-fa

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co./openai/whisper-tiny) on the mozilla-foundation/common_voice_3_0 fa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9080
- Wer: 137.7028

## 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: 8
- 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9264        | 1.77  | 500  | 0.9697          | 119.7783 |
| 0.5599        | 3.55  | 1000 | 0.8059          | 104.1866 |
| 0.3672        | 5.32  | 1500 | 0.7827          | 131.1082 |
| 0.2368        | 7.09  | 2000 | 0.8048          | 135.4507 |
| 0.2093        | 8.87  | 2500 | 0.8282          | 157.7871 |
| 0.1309        | 10.64 | 3000 | 0.8653          | 143.5641 |
| 0.1043        | 12.41 | 3500 | 0.8969          | 133.2448 |
| 0.0814        | 14.18 | 4000 | 0.9080          | 137.7028 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0