---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
- hf-asr-leaderboard
- pashto
- ps
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Small Pashto
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: google/fleurs ps_af
      type: google/fleurs
      args: 'config: ps_af, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 63.10532687651331
---

<!-- 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 Pashto

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs ps_af dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1800
- Wer: 63.1053

## 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: 3e-07
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 5200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.0871        | 14.29  | 100  | 2.0102          | 230.2739 |
| 1.465         | 28.57  | 200  | 1.4969          | 137.2427 |
| 1.1617        | 42.86  | 300  | 1.2716          | 76.3242  |
| 1.0019        | 57.14  | 400  | 1.1645          | 71.3756  |
| 0.9052        | 71.43  | 500  | 1.1051          | 69.7866  |
| 0.8334        | 85.71  | 600  | 1.0691          | 68.2657  |
| 0.7838        | 100.0  | 700  | 1.0483          | 67.1686  |
| 0.7539        | 114.29 | 800  | 1.0363          | 66.4195  |
| 0.7377        | 128.57 | 900  | 1.0297          | 66.2001  |
| 0.7325        | 142.86 | 1000 | 1.0277          | 66.0033  |
| 0.6952        | 157.14 | 1100 | 1.0122          | 65.0575  |
| 0.6531        | 171.43 | 1200 | 1.0014          | 64.4219  |
| 0.6189        | 185.71 | 1300 | 0.9945          | 63.7939  |
| 0.5993        | 200.0  | 1400 | 0.9896          | 63.3550  |
| 0.5757        | 214.29 | 1500 | 0.9864          | 63.2264  |
| 0.5601        | 228.57 | 1600 | 0.9845          | 62.9162  |
| 0.5482        | 242.86 | 1700 | 0.9833          | 62.8178  |
| 0.5382        | 257.14 | 1800 | 0.9827          | 62.8405  |
| 0.5325        | 271.43 | 1900 | 0.9823          | 62.7648  |
| 0.5287        | 285.71 | 2000 | 0.9822          | 62.8178  |
| 0.3494        | 357.14 | 2500 | 1.0026          | 61.6147  |
| 0.2287        | 428.57 | 3000 | 1.0533          | 61.5163  |
| 0.1525        | 500.0  | 3500 | 1.1041          | 62.0536  |
| 0.1089        | 571.43 | 4000 | 1.1451          | 62.5076  |
| 0.0871        | 642.86 | 4500 | 1.1704          | 62.9313  |
| 0.0797        | 714.29 | 5000 | 1.1791          | 63.1659  |
| 0.0799        | 728.57 | 5100 | 1.1800          | 63.1053  |
| 0.0791        | 742.86 | 5200 | 1.1803          | 63.1129  |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2