wav2vec2-base-timit-demo-colab

rwang97/wav2vec2-base-timit-demo-colab

wav2vec2-base-timit-demo-colab is a automatic speech recognition model from rwang97. 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 2, 2022
Updated: Dec 8, 2021
SHA: 3009c10c

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 None dataset. It achieves the following results on the evaluation set:

Loss: 0.4473
Wer: 0.3380

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
0.1048	4.0	500	0.4370	0.3475
0.0871	8.0	1000	0.4489	0.3405
0.0651	12.0	1500	0.4473	0.3380
0.0703	16.0	2000	0.4473	0.3380
0.0676	20.0	2500	0.4473	0.3380
0.0714	24.0	3000	0.4473	0.3380
0.0742	28.0	3500	0.4473	0.3380

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 2, 2022
Updated: Dec 8, 2021