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

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: 101.5892

## 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      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 1.2583        | 0.8584  | 100  | 17.1932         | 305.9902 |
| 2.067         | 1.7167  | 200  | 0.3327          | 123.2274 |
| 0.3124        | 2.5751  | 300  | 0.2674          | 94.8655  |
| 0.2537        | 3.4335  | 400  | 0.2513          | 85.8191  |
| 0.2072        | 4.2918  | 500  | 0.2029          | 82.6406  |
| 0.212         | 5.1502  | 600  | 0.1995          | 88.6308  |
| 0.2077        | 6.0086  | 700  | 0.1327          | 69.8044  |
| 0.1414        | 6.8670  | 800  | 0.0846          | 41.0758  |
| 0.1015        | 7.7253  | 900  | 0.0917          | 41.6870  |
| 0.102         | 8.5837  | 1000 | 0.0298          | 27.2616  |
| 0.0559        | 9.4421  | 1100 | 0.0389          | 21.0269  |
| 0.054         | 10.3004 | 1200 | 0.0218          | 202.5672 |
| 0.0356        | 11.1588 | 1300 | 0.0103          | 231.9071 |
| 0.0304        | 12.0172 | 1400 | 0.0236          | 218.4597 |
| 0.0199        | 12.8755 | 1500 | 0.0060          | 313.6919 |
| 0.0204        | 13.7339 | 1600 | 0.0104          | 202.4450 |
| 0.018         | 14.5923 | 1700 | 0.0069          | 190.2200 |
| 0.0103        | 15.4506 | 1800 | 0.0029          | 28.3619  |
| 0.0078        | 16.3090 | 1900 | 0.0029          | 133.0073 |
| 0.0049        | 17.1674 | 2000 | 0.0001          | 194.7433 |
| 0.0021        | 18.0258 | 2100 | 0.0003          | 183.6186 |
| 0.0026        | 18.8841 | 2200 | 0.0008          | 143.7653 |
| 0.0014        | 19.7425 | 2300 | 0.0000          | 145.5990 |
| 0.0006        | 20.6009 | 2400 | 0.0002          | 65.0367  |
| 0.0013        | 21.4592 | 2500 | 0.0008          | 63.2029  |
| 0.0018        | 22.3176 | 2600 | 0.0001          | 84.2298  |
| 0.0003        | 23.1760 | 2700 | 0.0000          | 121.6381 |
| 0.0002        | 24.0343 | 2800 | 0.0000          | 99.5110  |
| 0.0           | 24.8927 | 2900 | 0.0000          | 100.3667 |
| 0.0           | 25.7511 | 3000 | 0.0000          | 100.4890 |
| 0.0           | 26.6094 | 3100 | 0.0000          | 101.1002 |
| 0.0           | 27.4678 | 3200 | 0.0000          | 101.3447 |
| 0.0           | 28.3262 | 3300 | 0.0000          | 101.3447 |
| 0.0           | 29.1845 | 3400 | 0.0000          | 101.5892 |


### Framework versions

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