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whisper-medium-F5-Elder-100h-1ep-REAL-1ep – AI Model by Diogo2303 | AlphaNeural AI

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Diogo2303/
whisper-medium-F5-Elder-100h-1ep-REAL-1ep

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openai/whisper-medium

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Whisper MEDIUM F5 eld 100h plus REAL

This model is a fine-tuned version of openai/whisper-medium on the 800 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: 1e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.0
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.14.0