wav2vec2-base-timit-demo-colab7

hassnain/wav2vec2-base-timit-demo-colab7

wav2vec2-base-timit-demo-colab7 is a automatic speech recognition model from hassnain. 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: da41ad8f

Model card

From the Hugging Face model README

wav2vec2-base-timit-demo-colab7

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: 1.1687
Wer: 0.6478

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: 8
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: 60
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.8409	7.04	500	3.1487	1.0
2.6259	14.08	1000	1.5598	0.8730
1.083	21.13	1500	1.0600	0.7347
0.6061	28.17	2000	1.0697	0.7006
0.4022	35.21	2500	1.0617	0.6913
0.2884	42.25	3000	1.1962	0.6768
0.225	49.3	3500	1.1753	0.6567
0.1852	56.34	4000	1.1687	0.6478

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