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.

wav2vec2-4cycles – AI Model by gopikachu | AlphaNeural AI

You can deploy this model and start earning money today!

gopikachu/
wav2vec2-4cycles

like

0

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-xls-r-300m

endpoints_compatible

Views

No views yet

Wav2Vec2 - Gopika

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

eval_loss: -1.9491
eval_wer: 0.3542
eval_cer: 0.2777
eval_runtime: 4.1162
eval_samples_per_second: 5.588
eval_steps_per_second: 0.729
epoch: 16.6667
step: 100

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
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: 100
num_epochs: 300
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1