wav2vec2-base-timit-demo-colab_1

fahadtouseef/wav2vec2-base-timit-demo-colab_1

wav2vec2-base-timit-demo-colab_1 is a automatic speech recognition model from fahadtouseef. 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 1, 2022
Updated: May 1, 2022
SHA: 34a35012

Model card

From the Hugging Face model README

wav2vec2-base-timit-demo-colab_1

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: 0.3233
Wer: 0.2574

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: 0.0002
train_batch_size: 16
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
4.0949	3.52	500	1.1140	0.7136
0.7584	7.04	1000	0.5312	0.5154
0.4254	10.56	1500	0.4489	0.4401
0.2708	14.08	2000	0.4108	0.3770
0.1855	17.61	2500	0.3881	0.3257
0.139	21.13	3000	0.3666	0.2958
0.1057	24.65	3500	0.3351	0.2748
0.0855	28.17	4000	0.3233	0.2574

Framework versions

Transformers 4.11.3
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 1, 2022
Updated: May 1, 2022