README.md

metadata

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

Whisper Small Jyutping without Tones Full Version

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

• Loss: 0.0473
• Wer: 4.5089

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 400
• training_steps: 2400

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0895	0.18	800	0.0864	8.1065
0.0622	0.35	1600	0.0576	5.4563
0.0555	0.53	2400	0.0473	4.5089

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1
• Datasets 2.14.5
• Tokenizers 0.13.3