wav2vec-cv7-1b-ir

jcmc/wav2vec-cv7-1b-ir

wav2vec-cv7-1b-ir is a automatic speech recognition model from jcmc. 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: Mar 24, 2022
SHA: 2d9e27d9

Datasets

mozilla-foundation/common_voice_7_0

Model card

From the Hugging Face model README

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - GA-IE dataset. It achieves the following results on the evaluation set:

Loss: 0.9562
Wer: 0.4801

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 100.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.3731	15.62	500	1.5517	0.9499
1.3312	31.25	1000	0.8717	0.6189
0.9135	46.86	1500	0.8299	0.5310
0.6719	62.49	2000	0.8842	0.5044
0.5583	78.12	2500	0.9093	0.4801
0.4728	93.74	3000	0.9488	0.4813

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.18.2.dev0
Tokenizers 0.11.0

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Mar 2, 2022
Updated: Mar 24, 2022