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

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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 5.3177
- eval_wer: 83.6538
- eval_runtime: 3.5664
- eval_samples_per_second: 2.804
- eval_steps_per_second: 0.841
- epoch: 3.07
- step: 10

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- training_steps: 15
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.39.2
- Pytorch 2.4.0
- Datasets 2.19.2
- Tokenizers 0.15.2