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.

whisper-small-dv-full – AI Model by alakxender | AlphaNeural AI

You can deploy this model and start earning money today!

alakxender/
whisper-small-dv-full

like

0

automatic-speech-recognition

alakxender/dv-audio-syn-lg

openai/whisper-small

endpoints_compatible

Views

No views yet

whisper-small-dv-full

This model is a fine-tuned version of openai/whisper-small on the arrow dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0273
eval_wer_ortho: 15.8343
eval_wer: 2.3726
eval_runtime: 11624.8972
eval_samples_per_second: 3.774
eval_steps_per_second: 0.079
epoch: 0.6569
step: 4000

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 3
total_train_batch_size: 48
total_eval_batch_size: 48
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1