---
library_name: transformers
language:
- id
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Id - Tiny - Test
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      config: id
      split: None
      args: 'config: id, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 58.26771653543307
---

<!-- 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 Small Id - Tiny - Test

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: 1.2371
- Wer: 58.2677

## 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: 32
- eval_batch_size: 8
- seed: 42
- 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: 2
- training_steps: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 1.8373        | 0.0625 | 1    | 1.6351          | 93.3071 |
| 1.7614        | 0.125  | 2    | 1.5526          | 90.9449 |
| 1.5333        | 0.1875 | 3    | 1.4336          | 59.4488 |
| 1.5874        | 0.25   | 4    | 1.3667          | 59.4488 |
| 1.4808        | 0.3125 | 5    | 1.3238          | 58.2677 |
| 1.5046        | 0.375  | 6    | 1.2933          | 56.6929 |
| 1.3783        | 0.4375 | 7    | 1.2704          | 57.4803 |
| 1.3692        | 0.5    | 8    | 1.2536          | 57.0866 |
| 1.3708        | 0.5625 | 9    | 1.2426          | 57.0866 |
| 1.3299        | 0.625  | 10   | 1.2371          | 58.2677 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3