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

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: 0.0252
- Wer: 192.9941

## 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: 9
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.2606        | 0.9217 | 100  | 0.2230          | 39.7493  |
| 0.2758        | 1.8387 | 200  | 0.1259          | 41.2979  |
| 0.0716        | 2.7558 | 300  | 0.0491          | 24.1888  |
| 0.0433        | 3.6728 | 400  | 0.0618          | 25.7375  |
| 0.0339        | 4.5899 | 500  | 0.0383          | 184.0708 |
| 0.0211        | 5.5069 | 600  | 0.0418          | 139.3068 |
| 0.0154        | 6.4240 | 700  | 0.0424          | 195.4277 |
| 0.0095        | 7.3410 | 800  | 0.0251          | 186.2832 |
| 0.0059        | 8.2581 | 900  | 0.0252          | 192.9941 |


### Framework versions

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