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bryanleeharyanto/
vtt-indonesia

Name: vtt-indonesia
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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vtt-indonesia

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.3472
Wer: 0.3582

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.7612	3.23	400	0.6405	0.6714
0.4143	6.45	800	0.3772	0.4974
0.2068	9.68	1200	0.3877	0.4442
0.1436	12.9	1600	0.3785	0.4212
0.1133	16.13	2000	0.3944	0.4144
0.09	19.35	2400	0.3695	0.3925
0.0705	22.58	2800	0.3706	0.3846
0.057	25.81	3200	0.3720	0.3725
0.048	29.03	3600	0.3472	0.3582

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3

bryanleeharyanto/vtt-indonesia

vtt-indonesia

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bryanleeharyanto/
vtt-indonesia