Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

wav2vec2-extended-17000 – AI Model by MBMMurad | AlphaNeural AI

You can deploy this model and start earning money today!

MBMMurad/
wav2vec2-extended-17000

like

0

automatic-speech-recognition

generated_from_trainer

endpoints_compatible

Views

No views yet

wav2vec2-extended-17000

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the cvbn dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2861
eval_wer: 0.3258
eval_runtime: 542.8013
eval_samples_per_second: 9.211
eval_steps_per_second: 0.577
epoch: 8.21
step: 19200

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: 7.5e-05
train_batch_size: 16
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: 400
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.21.1
Pytorch 1.11.0+cu102
Datasets 2.4.0
Tokenizers 0.12.1