metadata

language:
  - wo
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - wer
pipeline_tag: automatic-speech-recognition
base_model: cifope/whisper-small-wolof
model-index:
  - name: whisper-small-wolof
    results: []

whisper-small-wolof

This model is a fine-tuned version of cifope/whisper-small-wolof on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.501167
Wer: 27.1604

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

the model was trained on 9000 examples and tested on 1500 examples

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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0071	5.32	1000	0.501167	27.1604

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3