---
license: apache-2.0
base_model: guilhermebastos96/whisper_small_finetuning
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
model-index:
- name: whisper_small_finetuning_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper_small_finetuning_2

This model is a fine-tuned version of [guilhermebastos96/whisper_small_finetuning](https://huggingface.co/guilhermebastos96/whisper_small_finetuning) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5042
- eval_wer: 25.5376
- eval_runtime: 2753.7295
- eval_samples_per_second: 3.438
- eval_steps_per_second: 0.43
- epoch: 19.3384
- step: 38000

## 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: 16
- eval_batch_size: 8
- 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: 40000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1