---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
model-index:
- name: openai/whisper-small
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# openai/whisper-small

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: 0.3882
- Cer: 15.5099

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.481         | 1.07  | 1000 | 0.3443          | 16.1736 |
| 0.2912        | 3.0   | 2000 | 0.3487          | 16.5213 |
| 0.1303        | 4.07  | 3000 | 0.3707          | 15.3950 |
| 0.0997        | 6.01  | 4000 | 0.3813          | 15.3563 |
| 0.0388        | 7.07  | 5000 | 0.3882          | 15.5099 |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.11.1.dev0
- Tokenizers 0.13.2