---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-a-nomimo-17
  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-a-nomimo-17

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: 0.0292
- Wer: 9.7222

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 17
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.9831        | 1.0     | 104  | 0.2031          | 33.0247 |
| 0.3134        | 2.0     | 208  | 0.1138          | 87.1142 |
| 0.0638        | 3.0     | 312  | 0.0907          | 27.4691 |
| 0.0503        | 4.0     | 416  | 0.0745          | 26.4660 |
| 0.0592        | 5.0     | 520  | 0.0361          | 25.3858 |
| 0.0329        | 6.0     | 624  | 0.0674          | 27.7006 |
| 0.0276        | 7.0     | 728  | 0.0524          | 47.0679 |
| 0.0322        | 8.0     | 832  | 0.0321          | 12.5    |
| 0.015         | 9.0     | 936  | 0.0357          | 13.6574 |
| 0.0117        | 10.0    | 1040 | 0.0335          | 10.3395 |
| 0.0075        | 11.0    | 1144 | 0.0387          | 12.1914 |
| 0.0085        | 12.0    | 1248 | 0.0306          | 9.8765  |
| 0.0056        | 13.0    | 1352 | 0.0311          | 9.0278  |
| 0.0031        | 14.0    | 1456 | 0.0274          | 8.9506  |
| 0.0038        | 15.0    | 1560 | 0.0288          | 9.7222  |
| 0.0024        | 16.0    | 1664 | 0.0288          | 9.4136  |
| 0.0013        | 16.8406 | 1751 | 0.0292          | 9.7222  |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.21.0