wav2vec2-base-timit-demo-colab

wasilkas/wav2vec2-base-timit-demo-colab

wav2vec2-base-timit-demo-colab is a automatic speech recognition model from wasilkas. 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: Mar 20, 2022
Updated: Mar 20, 2022
SHA: c2daa6d3

Model card

From the Hugging Face model README

wav2vec2-base-timit-demo-colab

This model is a fine-tuned version of facebook/wav2vec2-base on the TIMIT dataset. It achieves the following results on the evaluation set:

Loss: 0.4491
Wer: 0.3382

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
3.4787	4.0	500	1.4190	0.9939
0.5835	8.0	1000	0.4711	0.4370
0.219	12.0	1500	0.4555	0.3994
0.1251	16.0	2000	0.4515	0.3654
0.0834	20.0	2500	0.4923	0.3564
0.0632	24.0	3000	0.4410	0.3399
0.0491	28.0	3500	0.4491	0.3382

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.10.3

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