wav2vec2-base-timit-demo-colab12

sameearif88/wav2vec2-base-timit-demo-colab12

wav2vec2-base-timit-demo-colab12 is a automatic speech recognition model from sameearif88. 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. --

Downloads · 30 days

19% of all-time downloads

All-time downloads

Public

Repo size

1.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin378 MB · 100%

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: 0a6c6468

Model card

From the Hugging Face model README

wav2vec2-base-timit-demo-colab12

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: 0.4831
Wer: 0.3546

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: 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: 420
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.1683	3.52	500	1.3684	0.7364
0.7614	7.04	1000	0.6008	0.5218
0.4721	10.56	1500	0.5319	0.4614
0.3376	14.08	2000	0.5234	0.4308
0.2508	17.61	2500	0.5109	0.3998
0.1978	21.13	3000	0.5037	0.3721
0.1645	24.65	3500	0.4918	0.3622
0.1449	28.17	4000	0.4831	0.3546

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