wav2vec2-large-english-TIMIT-phoneme_v3

speech31/wav2vec2-large-english-TIMIT-phoneme_v3

wav2vec2-large-english-TIMIT-phoneme_v3 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. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Oct 15, 2022
Updated: Jan 6, 2023
SHA: 863ed9da

Model card

From the Hugging Face model README

wav2vec2-base960-english-phoneme_v3

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

Loss: 0.3697
Cer: 0.0987

Training and evaluation data

Training: TIMIT dataset training + validation set Evaluation: TIMIT dataset test set

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Per
2.2678	6.94	500	0.2347	0.0874
0.25	13.88	1000	0.3358	0.1122
0.2126	20.83	1500	0.3865	0.1131
0.1397	27.77	2000	0.4162	0.1085
0.0916	34.72	2500	0.4429	0.1086
0.0594	41.66	3000	0.3697	0.0987

Framework versions

Transformers 4.23.0.dev0
Pytorch 1.12.1.post201
Datasets 2.5.2.dev0
Tokenizers 0.12.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Oct 15, 2022
Updated: Jan 6, 2023