wav2vec2-base-timit-demo

dlu66061/wav2vec2-base-timit-demo

wav2vec2-base-timit-demo is a automatic speech recognition model from dlu66061. 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: Apr 20, 2022
Updated: Apr 21, 2022
SHA: b79a0a94

Model card

From the Hugging Face model README

wav2vec2-base-timit-demo

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: 0.4094
Wer: 0.2825

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
3.5419	3.45	500	1.2376	0.8772
0.5393	6.9	1000	0.4489	0.3894
0.1916	10.34	1500	0.3777	0.3185
0.1139	13.79	2000	0.4041	0.3058
0.0798	17.24	2500	0.3742	0.2988
0.0602	20.69	3000	0.3751	0.2897
0.0463	24.14	3500	0.4067	0.2865
0.0388	27.59	4000	0.4094	0.2825

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu102
Datasets 1.18.3
Tokenizers 0.11.6

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Apr 20, 2022
Updated: Apr 21, 2022