---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-small.en
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# openai/whisper-small.en

This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1764
- Wer: 2.9777

## 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: 64
- eval_batch_size: 32
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0179        | 10.0  | 500  | 0.1422          | 3.4691 |
| 0.0006        | 20.0  | 1000 | 0.1530          | 3.0001 |
| 0.0004        | 30.01 | 1500 | 0.1631          | 3.0150 |
| 0.0002        | 40.01 | 2000 | 0.1672          | 2.9777 |
| 0.0001        | 51.0  | 2500 | 0.1717          | 2.9703 |
| 0.0001        | 61.0  | 3000 | 0.1742          | 2.9926 |
| 0.0001        | 71.01 | 3500 | 0.1759          | 2.9852 |
| 0.0001        | 81.01 | 4000 | 0.1764          | 2.9777 |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2