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whisper-v3-akan-finetuned-v2 – AI Model by prince4332 | AlphaNeural AI

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prince4332/
whisper-v3-akan-finetuned-v2

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automatic-speech-recognition

generated_from_trainer

prince4332/whisper-v3-akan-complete

endpoints_compatible

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whisper-v3-akan-finetuned-v2

This model is a fine-tuned version of prince4332/whisper-v3-akan-complete on an unknown dataset.

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-06
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: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.8.0+cu129
Datasets 2.21.0
Tokenizers 0.19.1