---
tags:
- generated_from_trainer
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 was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8237
- Wer: 62.5

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer  |
|:-------------:|:-----:|:----:|:---------------:|:----:|
| No log        | 0.89  | 2    | 5.1135          | 87.5 |
| No log        | 1.78  | 4    | 3.1980          | 75.0 |
| No log        | 2.67  | 6    | 2.5434          | 75.0 |
| No log        | 4.0   | 9    | 1.8864          | 62.5 |
| No log        | 4.44  | 10   | 1.8237          | 62.5 |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1