---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-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-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: 0.0947
- Wer: 11.3030

## 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: 50
- num_epochs: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Wer     |
|:-------------:|:--------:|:----:|:---------------:|:-------:|
| 0.0           | 7.6923   | 100  | 0.0560          | 11.6170 |
| 0.0           | 15.3846  | 200  | 0.0666          | 13.9717 |
| 0.0           | 23.0769  | 300  | 0.0754          | 13.8148 |
| 0.0           | 30.7692  | 400  | 0.0850          | 14.1287 |
| 0.0           | 38.4615  | 500  | 0.0945          | 13.1868 |
| 0.0           | 46.1538  | 600  | 0.1042          | 13.0298 |
| 0.0           | 53.8462  | 700  | 0.1147          | 13.8148 |
| 0.0           | 61.5385  | 800  | 0.1256          | 14.1287 |
| 0.0           | 69.2308  | 900  | 0.1361          | 14.7567 |
| 0.0           | 76.9231  | 1000 | 0.1487          | 13.8148 |
| 0.0           | 84.6154  | 1100 | 0.1619          | 17.1115 |
| 0.0           | 92.3077  | 1200 | 0.1759          | 17.2684 |
| 0.0           | 100.0    | 1300 | 0.1866          | 17.1115 |
| 0.0           | 107.6923 | 1400 | 0.1979          | 17.1115 |
| 0.0043        | 115.3846 | 1500 | 0.0933          | 10.2041 |
| 0.0           | 123.0769 | 1600 | 0.0901          | 10.9890 |
| 0.0           | 130.7692 | 1700 | 0.0914          | 11.3030 |
| 0.0           | 138.4615 | 1800 | 0.0922          | 11.3030 |
| 0.0           | 146.1538 | 1900 | 0.0929          | 11.3030 |
| 0.0           | 153.8462 | 2000 | 0.0933          | 11.3030 |
| 0.0           | 161.5385 | 2100 | 0.0938          | 11.3030 |
| 0.0           | 169.2308 | 2200 | 0.0942          | 11.3030 |
| 0.0           | 176.9231 | 2300 | 0.0943          | 11.3030 |
| 0.0           | 184.6154 | 2400 | 0.0945          | 11.3030 |
| 0.0           | 192.3077 | 2500 | 0.0947          | 11.3030 |
| 0.0           | 200.0    | 2600 | 0.0947          | 11.3030 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1