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lorenzoncina/
whisper-small-ja

Name: whisper-small-ja
Rating: 2.5 (5 reviews)

automatic-speech-recognition

whisper-event

generated_from_trainer

mozilla-foundation/common_voice_11_0

endpoints_compatible

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Whisper Small JA - Lorenzo Concina

This model is a fine-tuned version of [SVJ Japanese dataset](https://huggingface.co/SVJ Japanese dataset) on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.5596
Cer: 17.7261

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: 4
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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0682	0.33	1000	0.6098	19.9133
0.0229	0.67	2000	0.5501	18.1911
0.0457	1.0	3000	0.5745	19.3174
0.0123	1.34	4000	0.5315	18.2546
0.0238	1.67	5000	0.5596	17.7261

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0
Datasets 2.7.1
Tokenizers 0.11.0

lorenzoncina/whisper-small-ja

Whisper Small JA - Lorenzo Concina

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lorenzoncina/
whisper-small-ja