---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-commonvoice-en
  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-commonvoice-en

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3573
- Wer: 14.7768

## 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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 1000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.2697        | 0.4545 | 50   | 0.2484          | 13.1027 |
| 0.3113        | 0.9091 | 100  | 0.2571          | 13.3482 |
| 0.0671        | 1.3636 | 150  | 0.2864          | 13.7946 |
| 0.0833        | 1.8182 | 200  | 0.2984          | 14.3973 |
| 0.0297        | 2.2727 | 250  | 0.3126          | 14.2411 |
| 0.0253        | 2.7273 | 300  | 0.3181          | 14.4866 |
| 0.016         | 3.1818 | 350  | 0.3273          | 14.8661 |
| 0.0138        | 3.6364 | 400  | 0.3177          | 13.9955 |
| 0.012         | 4.0909 | 450  | 0.3335          | 14.4866 |
| 0.0054        | 4.5455 | 500  | 0.3401          | 14.6429 |
| 0.004         | 5.0    | 550  | 0.3459          | 14.5982 |
| 0.0011        | 5.4545 | 600  | 0.3535          | 15.1339 |
| 0.0026        | 5.9091 | 650  | 0.3422          | 15.1116 |
| 0.001         | 6.3636 | 700  | 0.3452          | 14.5313 |
| 0.0007        | 6.8182 | 750  | 0.3510          | 14.6875 |
| 0.0005        | 7.2727 | 800  | 0.3540          | 14.6429 |
| 0.0005        | 7.7273 | 850  | 0.3554          | 14.7545 |
| 0.0005        | 8.1818 | 900  | 0.3564          | 14.7321 |
| 0.0005        | 8.6364 | 950  | 0.3570          | 14.7545 |
| 0.0004        | 9.0909 | 1000 | 0.3573          | 14.7768 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1