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

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: 51.9149

## 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      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 1.3807        | 1.0929  | 100  | 0.3220          | 77.8723  |
| 0.5819        | 2.1858  | 200  | 0.2437          | 122.1277 |
| 0.2781        | 3.2787  | 300  | 0.1406          | 60.6383  |
| 0.1925        | 4.3716  | 400  | 0.1137          | 14.8936  |
| 0.1511        | 5.4645  | 500  | 0.0955          | 16.3830  |
| 0.1451        | 6.5574  | 600  | 0.0570          | 13.1915  |
| 0.1307        | 7.6503  | 700  | 0.0830          | 15.3191  |
| 0.1095        | 8.7432  | 800  | 0.0592          | 12.3404  |
| 0.1087        | 9.8361  | 900  | 0.0437          | 11.0638  |
| 0.0809        | 10.9290 | 1000 | 0.0519          | 11.9149  |
| 0.0734        | 12.0219 | 1100 | 0.0638          | 18.7234  |
| 0.0596        | 13.1148 | 1200 | 0.0487          | 8.2979   |
| 0.0558        | 14.2077 | 1300 | 0.0241          | 11.2766  |
| 0.0482        | 15.3005 | 1400 | 0.0256          | 9.5745   |
| 0.0383        | 16.3934 | 1500 | 0.0308          | 7.0213   |
| 0.0274        | 17.4863 | 1600 | 0.0258          | 103.4043 |
| 0.0206        | 18.5792 | 1700 | 0.0125          | 6.1702   |
| 0.0193        | 19.6721 | 1800 | 0.0166          | 4.8936   |
| 0.0096        | 20.7650 | 1900 | 0.0024          | 53.8298  |
| 0.0042        | 21.8579 | 2000 | 0.0002          | 54.0426  |
| 0.0009        | 22.9508 | 2100 | 0.0001          | 54.0426  |
| 0.0007        | 24.0437 | 2200 | 0.0005          | 52.5532  |
| 0.0004        | 25.1366 | 2300 | 0.0000          | 51.9149  |
| 0.0001        | 26.2295 | 2400 | 0.0000          | 52.3404  |
| 0.0001        | 27.3224 | 2500 | 0.0000          | 51.9149  |
| 0.0           | 28.4153 | 2600 | 0.0000          | 51.9149  |
| 0.0           | 29.5082 | 2700 | 0.0000          | 51.9149  |


### Framework versions

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