---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- common_voice_16_1
base_model: openai/whisper-small
model-index:
- name: whisper-small-finetuned-finetuned
  results: []
---

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# whisper-small-finetuned-finetuned

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.2831
- eval_wer: 109.0909
- eval_runtime: 18.9581
- eval_samples_per_second: 0.211
- eval_steps_per_second: 0.053
- epoch: 99.01
- step: 100

## 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: 0.001
- train_batch_size: 96
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.9.0
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2