metadata

language:
  - yue
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Whisper Tiny Jyutping without Tones
    results: []

Whisper Tiny Jyutping without Tones

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2079
Wer: 22.8645

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: 150
training_steps: 800

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1622	0.62	800	0.2079	22.8645

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.13.3