wav2vec2-base-vios

tclong/wav2vec2-base-vios

wav2vec2-base-vios is a automatic speech recognition model from tclong. 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: May 30, 2022
Updated: Jun 4, 2022
SHA: f6ce5648

Datasets

vivos_dataset

Model card

From the Hugging Face model README

wav2vec2-base-vios

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

Loss: 0.3729
Wer: 0.2427

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.4755	1.37	500	0.7991	0.5957
0.5424	2.75	1000	0.4290	0.3653
0.3586	4.12	1500	0.3809	0.2890
0.2824	5.49	2000	0.3808	0.2749
0.2249	6.87	2500	0.3467	0.2389
0.1745	8.24	3000	0.3688	0.2384
0.1459	9.61	3500	0.3729	0.2427

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 30, 2022
Updated: Jun 4, 2022