wav2vec2-voa-example

duclee9x/wav2vec2-voa-example

wav2vec2-voa-example is a automatic speech recognition model from duclee9x. 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 25, 2022
Updated: May 26, 2022
SHA: 4a3119d1

Model card

From the Hugging Face model README

wav2vec2-voa-example

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

Loss: nan
Wer: 1.0

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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.296	4.35	500	3.7226	1.0
3.027	8.7	1000	3.7233	1.0
3.0376	13.04	1500	3.7246	1.0
3.0221	17.39	2000	nan	1.0
0.0	21.74	2500	nan	1.0
0.0	26.09	3000	nan	1.0

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 25, 2022
Updated: May 26, 2022