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Kuray107/
librispeech-100h-supervised-aug

Name: librispeech-100h-supervised-aug
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

generated_from_trainer

apache-2.0

endpoints_compatible

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librispeech-100h-supervised-aug

This model is a fine-tuned version of Kuray107/librispeech-5h-supervised on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0776
Wer: 0.0327

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: 0.0001
train_batch_size: 32
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: 1000
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3099	1.12	1000	0.0748	0.0521
0.1873	2.24	2000	0.0674	0.0440
0.146	3.36	3000	0.0671	0.0406
0.1233	4.48	4000	0.0619	0.0381
0.1098	5.61	5000	0.0618	0.0381
0.0985	6.73	6000	0.0590	0.0355
0.0907	7.85	7000	0.0659	0.0352
0.0837	8.97	8000	0.0679	0.0359
0.0762	10.09	9000	0.0701	0.0349
0.0707	11.21	10000	0.0715	0.0348
0.0666	12.33	11000	0.0719	0.0346
0.0631	13.45	12000	0.0746	0.0347
0.0593	14.57	13000	0.0757	0.0340
0.0554	15.7	14000	0.0746	0.0337
0.053	16.82	15000	0.0757	0.0331
0.0525	17.94	16000	0.0752	0.0327
0.0514	19.06	17000	0.0776	0.0327

Framework versions

Transformers 4.16.2
Pytorch 1.10.2
Datasets 1.18.2
Tokenizers 0.10.3

Kuray107/librispeech-100h-supervised-aug

librispeech-100h-supervised-aug

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Kuray107/
librispeech-100h-supervised-aug