---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
model-index:
- name: exo-5
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: PolyAI/minds14
      type: PolyAI/minds14
    metrics:
    - name: Wer
      type: wer
      value: 0.09080525414049115
---

<!-- 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. -->

# exo-5

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1314
- Wer Ortho: 0.1507
- Wer: 0.0908

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.12
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 0.0443        | 1.0   | 57   | 0.0811          | 0.1175    | 0.0680 |
| 0.0262        | 2.0   | 114  | 0.1065          | 0.1454    | 0.0977 |
| 0.0409        | 3.0   | 171  | 0.1275          | 0.1074    | 0.0748 |
| 0.0204        | 4.0   | 228  | 0.1301          | 0.1371    | 0.1057 |
| 0.0095        | 5.0   | 285  | 0.1293          | 0.1982    | 0.1605 |
| 0.0071        | 6.0   | 342  | 0.1422          | 0.1822    | 0.1365 |
| 0.0011        | 7.0   | 399  | 0.1329          | 0.1448    | 0.0982 |
| 0.0049        | 8.0   | 456  | 0.1294          | 0.1359    | 0.0788 |
| 0.0012        | 9.0   | 513  | 0.1296          | 0.1478    | 0.0891 |
| 0.0002        | 10.0  | 570  | 0.1305          | 0.1484    | 0.0891 |
| 0.0013        | 11.0  | 627  | 0.1298          | 0.1490    | 0.0897 |
| 0.0002        | 12.0  | 684  | 0.1309          | 0.1490    | 0.0891 |
| 0.0004        | 13.0  | 741  | 0.1311          | 0.1513    | 0.0914 |
| 0.0001        | 14.0  | 798  | 0.1313          | 0.1507    | 0.0908 |
| 0.0001        | 15.0  | 855  | 0.1314          | 0.1507    | 0.0908 |


### Framework versions

- Transformers 4.55.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.2