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-accuracy-checkpoints – AI Model by Yilin0601 | AlphaNeural AI

You can deploy this model and start earning money today!

Yilin0601/
wav2vec2-accuracy-checkpoints

like

0

audio-classification

generated_from_trainer

facebook/wav2vec2-base-960h

endpoints_compatible

Views

No views yet

wav2vec2-accuracy-checkpoints

This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.6746
eval_accuracy: 0.3067
eval_f1: 0.0587
eval_qwk: 0.0
eval_runtime: 3.5803
eval_samples_per_second: 20.948
eval_steps_per_second: 5.307
epoch: 0.1007
step: 15

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1