---
license: apache-2.0
base_model: DereAbdulhameed/whisper-cli-yor
tags:
- generated_from_trainer
datasets:
- common_voice_16_1
model-index:
- name: new_whisper_yoruba
  results: []
---

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

This model is a fine-tuned version of [DereAbdulhameed/whisper-cli-yor](https://huggingface.co/DereAbdulhameed/whisper-cli-yor) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3864
- eval_wer: 34.4790
- eval_runtime: 460.5039
- eval_samples_per_second: 3.748
- eval_steps_per_second: 0.469
- epoch: 17.01
- step: 1000

## 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: 64
- 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: 4000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2