wav2vec2-librispeech-clean-100h-demo-dist

patrickvonplaten/wav2vec2-librispeech-clean-100h-demo-dist

wav2vec2-librispeech-clean-100h-demo-dist is a automatic speech recognition model from patrickvonplaten. 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: wav2vec2
Access: Public
Created: Mar 2, 2022
Updated: Dec 20, 2021
SHA: 14589df6

Model card

From the Hugging Face model README

wav2vec2-librispeech-clean-100h-demo-dist

This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the LIBRISPEECH_ASR - CLEAN dataset. It achieves the following results on the evaluation set:

Loss: 0.0572
Wer: 0.0417

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
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 32
total_eval_batch_size: 64
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
3.399	0.11	100	3.6153	1.0
2.8892	0.22	200	2.8963	1.0
2.8284	0.34	300	2.8574	1.0
0.7347	0.45	400	0.6158	0.4850
0.1138	0.56	500	0.2038	0.1560
0.248	0.67	600	0.1274	0.1024
0.2586	0.78	700	0.1108	0.0876
0.0733	0.9	800	0.0936	0.0762
0.044	1.01	900	0.0834	0.0662
0.0393	1.12	1000	0.0792	0.0622
0.0941	1.23	1100	0.0769	0.0627
0.036	1.35	1200	0.0731	0.0603
0.0768	1.46	1300	0.0713	0.0559
0.0518	1.57	1400	0.0686	0.0537
0.0815	1.68	1500	0.0639	0.0515
0.0603	1.79	1600	0.0636	0.0500
0.056	1.91	1700	0.0609	0.0480
0.0265	2.02	1800	0.0621	0.0465
0.0496	2.13	1900	0.0607	0.0449
0.0436	2.24	2000	0.0591	0.0446
0.0421	2.35	2100	0.0590	0.0428
0.0641	2.47	2200	0.0603	0.0443
0.0466	2.58	2300	0.0580	0.0429
0.0132	2.69	2400	0.0574	0.0423
0.0073	2.8	2500	0.0586	0.0417
0.0021	2.91	2600	0.0574	0.0412

Framework versions

Transformers 4.11.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.12.1
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 2, 2022
Updated: Dec 20, 2021