---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-a-nomi-18
  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-nomi-18

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: 0.0346
- Wer: 14.4772

## 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: 18
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 88   | 0.0813          | 11.4388 |
| 0.944         | 2.0   | 176  | 0.0636          | 11.2601 |
| 0.1726        | 3.0   | 264  | 0.0395          | 16.1752 |
| 0.0661        | 4.0   | 352  | 0.0895          | 25.7373 |
| 0.145         | 5.0   | 440  | 0.0627          | 19.9285 |
| 0.0218        | 6.0   | 528  | 0.0481          | 8.3110  |
| 0.0187        | 7.0   | 616  | 0.0782          | 23.0563 |
| 0.0282        | 8.0   | 704  | 0.0435          | 16.6220 |
| 0.0282        | 9.0   | 792  | 0.0284          | 11.7069 |
| 0.0055        | 10.0  | 880  | 0.0338          | 17.0688 |
| 0.0027        | 11.0  | 968  | 0.0463          | 17.3369 |
| 0.0039        | 12.0  | 1056 | 0.0362          | 11.6175 |
| 0.0038        | 13.0  | 1144 | 0.0353          | 14.6559 |
| 0.0014        | 14.0  | 1232 | 0.0347          | 14.5666 |
| 0.0           | 15.0  | 1320 | 0.0346          | 14.4772 |
| 0.0           | 16.0  | 1408 | 0.0346          | 14.4772 |
| 0.0           | 17.0  | 1496 | 0.0346          | 14.4772 |
| 0.0           | 18.0  | 1584 | 0.0346          | 14.4772 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.21.0