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zenkingsama/
hubert-large-ll60k-librispeech-clean-100h-demo-dist

Name: hubert-large-ll60k-librispeech-clean-100h-demo-dist
Availability: InStock

automatic-speech-recognition

librispeech_asr

generated_from_trainer

apache-2.0

endpoints_compatible

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hubert-large-ll60k-librispeech-clean-100h-demo-dist

This model is a fine-tuned version of facebook/hubert-base-ls960 on the LIBRISPEECH_ASR - CLEAN dataset. It achieves the following results on the evaluation set:

Loss: 2.1361
Wer: 0.9769

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: 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
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.4699	0.15	100	2.0098	1.0
1.1	0.3	200	1.0910	0.9769
0.6468	0.45	300	1.5089	0.9769
0.6928	0.61	400	1.6171	1.0
0.698	0.76	500	1.2406	0.9769
1.0461	0.91	600	1.3760	1.0
0.6363	1.06	700	2.1654	1.0
0.6743	1.21	800	1.7481	0.9769
0.565	1.36	900	2.1965	1.0
0.5761	1.51	1000	1.8223	0.9769
0.6179	1.66	1100	1.9976	0.9769
0.5052	1.82	1200	1.5585	0.9769
0.5434	1.97	1300	2.0349	0.9769
0.4997	2.12	1400	2.4083	0.9769
0.489	2.27	1500	2.4164	0.9769
0.5104	2.42	1600	2.4970	0.9769
0.5324	2.57	1700	2.3352	0.9769
0.5207	2.72	1800	2.2009	0.9769
0.5224	2.87	1900	2.1035	0.9769

Framework versions

Transformers 4.21.0.dev0
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

zenkingsama/hubert-large-ll60k-librispeech-clean-100h-demo-dist

hubert-large-ll60k-librispeech-clean-100h-demo-dist

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zenkingsama/
hubert-large-ll60k-librispeech-clean-100h-demo-dist