wav2vec2-large-TIMIT-IPA2

speech31/wav2vec2-large-TIMIT-IPA2

wav2vec2-large-TIMIT-IPA2 is a automatic speech recognition model from speech31. 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

1% of all-time downloads

All-time downloads

5.4K

Public

Repo size

2.5 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.3 GB · 100%

At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Jan 10, 2023
Updated: Jan 11, 2023
SHA: 500d5f40

Model card

From the Hugging Face model README

wav2vec2-large-TIMIT-IPA2

This model is a fine-tuned version of facebook/wav2vec2-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1531
Per: 0.0638

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: 64
eval_batch_size: 16
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: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Per
2.0846	6.85	500	0.1810	0.0991
0.1857	13.7	1000	0.1411	0.0691
0.0948	20.55	1500	0.1345	0.0666
0.0646	27.4	2000	0.1444	0.0673
0.0502	34.25	2500	0.1436	0.0628
0.0381	41.1	3000	0.1383	0.0637
0.0309	47.95	3500	0.1533	0.0638
0.0261	54.79	4000	0.1531	0.0638

Framework versions

Transformers 4.20.0
Pytorch 1.12.1+cu113
Datasets 2.6.2.dev0
Tokenizers 0.12.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Jan 10, 2023
Updated: Jan 11, 2023