---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-en-v3
  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-en-v3

This model is a fine-tuned version of [noeinatha/whisper-small-en-v2](https://huggingface.co/noeinatha/whisper-small-en-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8348
- Wer: 86.0135

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0           | 2.31  | 1000 | 1.8307          | 49.0292 |
| 0.0           | 4.63  | 2000 | 1.8360          | 65.7005 |
| 0.0           | 6.94  | 3000 | 1.8356          | 82.1213 |
| 0.0           | 9.26  | 4000 | 1.8348          | 86.0135 |


### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3