---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: whishper
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_11_0
      type: common_voice_11_0
      config: ta
      split: test
      args: ta
    metrics:
    - name: Wer
      type: wer
      value: 72.24880382775119
---

<!-- 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. -->

# whishper

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5474
- Wer: 72.2488
- Cer: 29.9605

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 2
- num_epochs: 0.5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      | Cer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|
| 0.2442        | 0.0333 | 5    | 0.8071          | 140.3509 | 157.0811 |
| 0.2386        | 0.0667 | 10   | 0.7964          | 146.2520 | 136.7877 |
| 0.3848        | 0.1    | 15   | 0.7687          | 146.8900 | 111.5479 |
| 0.3015        | 0.1333 | 20   | 0.7213          | 157.0973 | 126.8761 |
| 0.2178        | 0.1667 | 25   | 0.6916          | 159.1707 | 144.8561 |
| 0.2314        | 0.2    | 30   | 0.6551          | 149.6013 | 125.3526 |
| 0.2112        | 0.2333 | 35   | 0.6239          | 99.3620  | 64.2844  |
| 0.1571        | 0.2667 | 40   | 0.5794          | 76.5550  | 35.1514  |
| 0.1934        | 0.3    | 45   | 0.5547          | 73.0463  | 33.7596  |
| 0.3231        | 0.3333 | 50   | 0.5474          | 72.2488  | 29.9605  |
| 0.1035        | 0.3667 | 55   | 0.5434          | 72.5678  | 32.3491  |
| 0.1991        | 0.4    | 60   | 0.5454          | 74.0032  | 31.4275  |
| 0.196         | 0.4333 | 65   | 0.5495          | 73.5247  | 36.0166  |
| 0.4541        | 0.4667 | 70   | 0.5448          | 73.3652  | 38.5556  |
| 0.2166        | 0.5    | 75   | 0.5418          | 73.3652  | 39.3455  |


### Framework versions

- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0