whisper-base-bisyllabic-jyutping

AlienKevin/whisper-base-bisyllabic-jyutping

whisper-base-bisyllabic-jyutping is a automatic speech recognition model from AlienKevin. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Feb 10, 2024
Updated: Feb 10, 2024
SHA: 9aebd38a

Base models

openai/whisper-base

Model card

From the Hugging Face model README

Whisper Base Bisyllabic Jyutping

This model is a fine-tuned version of openai/whisper-base on the AlienKevin/cantone dataset. It achieves the following results on the evaluation set:

Loss: 0.3613
Wer: 41.25

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: 32
eval_batch_size: 32
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
0.1093	0.08	400	0.3231	51.0417
0.0389	0.15	800	0.2922	40.4861
0.0237	0.23	1200	0.3020	37.7778
0.0131	0.3	1600	0.3561	42.7083
0.01	0.38	2000	0.3817	44.6528
0.0095	0.46	2400	0.3613	41.25

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.0
Datasets 2.14.5
Tokenizers 0.15.1

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Languages: yue
Created: Feb 10, 2024
Updated: Feb 10, 2024