w2v2

gngpostalsrvc/w2v2

w2v2 is a automatic speech recognition model from gngpostalsrvc. 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: Aug 31, 2022
Updated: Sep 4, 2022
SHA: 37cab374

Model card

From the Hugging Face model README

w2v2

This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8860
Wer: 0.2817

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: 8
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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.5664	3.07	500	3.0411	0.9997
2.5607	6.13	1000	1.0770	0.3660
0.9959	9.2	1500	0.8815	0.3017
0.8129	12.27	2000	0.8676	0.2915
0.7334	15.34	2500	0.8381	0.2931
0.669	18.4	3000	0.8802	0.2864
0.6312	21.47	3500	0.8679	0.2864
0.6094	24.54	4000	0.8811	0.2802
0.5987	27.61	4500	0.8860	0.2817

Framework versions

Transformers 4.17.0
Pytorch 1.12.1+cu113
Datasets 1.18.3
Tokenizers 0.12.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Aug 31, 2022
Updated: Sep 4, 2022