---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-a-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-a-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: 0.0351
- Wer: 22.9167

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.9699        | 0.9662  | 100  | 0.1287          | 46.6821  |
| 0.1644        | 1.9275  | 200  | 0.1624          | 445.0617 |
| 0.236         | 2.8889  | 300  | 0.0895          | 23.1481  |
| 0.0518        | 3.8502  | 400  | 0.0479          | 18.4414  |
| 0.0321        | 4.8116  | 500  | 0.0426          | 14.8148  |
| 0.03          | 5.7729  | 600  | 0.0482          | 19.4444  |
| 0.0218        | 6.7343  | 700  | 0.0325          | 11.6512  |
| 0.0143        | 7.6957  | 800  | 0.0439          | 15.2778  |
| 0.0147        | 8.6570  | 900  | 0.0339          | 11.9599  |
| 0.0104        | 9.6184  | 1000 | 0.0391          | 14.5833  |
| 0.0079        | 10.5797 | 1100 | 0.0338          | 33.9506  |
| 0.0054        | 11.5411 | 1200 | 0.0293          | 20.4475  |
| 0.0032        | 12.5024 | 1300 | 0.0357          | 14.3519  |
| 0.002         | 13.4638 | 1400 | 0.0327          | 18.0556  |
| 0.0023        | 14.4251 | 1500 | 0.0351          | 22.9167  |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0