---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-nomimo
  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-nomimo

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: 0.0000
- Wer: 1.9149

## 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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 1.3211        | 1.3889  | 100  | 0.2361          | 12.7660  |
| 0.7584        | 2.7778  | 200  | 0.1198          | 12.5532  |
| 0.2285        | 4.1667  | 300  | 0.1448          | 158.5106 |
| 0.1734        | 5.5556  | 400  | 0.1582          | 27.0213  |
| 0.1351        | 6.9444  | 500  | 0.0599          | 11.2766  |
| 0.1252        | 8.3333  | 600  | 0.0704          | 52.9787  |
| 0.086         | 9.7222  | 700  | 0.1452          | 17.2340  |
| 0.0865        | 11.1111 | 800  | 0.0404          | 54.0426  |
| 0.0635        | 12.5    | 900  | 0.0221          | 49.7872  |
| 0.0672        | 13.8889 | 1000 | 0.0403          | 52.9787  |
| 0.034         | 15.2778 | 1100 | 0.0459          | 7.0213   |
| 0.0396        | 16.6667 | 1200 | 0.0205          | 3.8298   |
| 0.0262        | 18.0556 | 1300 | 0.0147          | 5.1064   |
| 0.0227        | 19.4444 | 1400 | 0.0101          | 48.2979  |
| 0.0108        | 20.8333 | 1500 | 0.0019          | 47.0213  |
| 0.0044        | 22.2222 | 1600 | 0.0013          | 1.7021   |
| 0.0021        | 23.6111 | 1700 | 0.0001          | 1.9149   |
| 0.0002        | 25.0    | 1800 | 0.0001          | 1.9149   |
| 0.0002        | 26.3889 | 1900 | 0.0000          | 1.9149   |
| 0.0002        | 27.7778 | 2000 | 0.0000          | 1.9149   |
| 0.0001        | 29.1667 | 2100 | 0.0000          | 1.9149   |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1