---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: emilios/whisper-sm-farsipal-e7
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# emilios/whisper-sm-farsipal-e7

This model is a fine-tuned version of [emilios/whisper-sm-farsipal-e7](https://huggingface.co/emilios/whisper-sm-farsipal-e7) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5015
- Wer: 16.5583

## 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-09
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0002        | 2.49  | 1000 | 0.5015          | 16.5119 |
| 0.0002        | 4.98  | 2000 | 0.5015          | 16.5583 |
| 0.0002        | 7.46  | 3000 | 0.5015          | 16.4655 |
| 0.0002        | 9.95  | 4000 | 0.5015          | 16.5119 |
| 0.0002        | 12.44 | 5000 | 0.5015          | 16.5583 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221216+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2