---
base_model: casual/whisper-tiny-finetunev1
tags:
- generated_from_trainer
model-index:
- name: whisper_tiny_24til
  results: []
---

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# whisper_tiny_24til

This model is a fine-tuned version of [casual/whisper-tiny-finetunev1](https://huggingface.co/casual/whisper-tiny-finetunev1) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0008
- eval_wer: 2.7005
- eval_runtime: 773.5077
- eval_samples_per_second: 4.525
- eval_steps_per_second: 0.566
- epoch: 0.7306
- step: 160

## 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: 10
- training_steps: 4000

### Framework versions

- Transformers 4.40.2
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1