metadata

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: []

new_whisper_yoruba

This model is a fine-tuned version of 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