---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
model-index:
- name: Whisper Small en - pbl4
  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 Small en - pbl4

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:
- eval_loss: 0.3805
- eval_wer: 10.6595
- eval_runtime: 58.6535
- eval_samples_per_second: 2.557
- eval_steps_per_second: 0.324
- epoch: 227.2727
- step: 5000

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data


![image/png](https://cdn-uploads.huggingface.co/production/uploads/674170c525766db587608eee/keJ1I7b9D1IDxTjs8TXko.png)

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- 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: 500
- training_steps: 6000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.47.1
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.21.0