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whisper-medium-edu-2nd_try – AI Model by Diogo2303 | AlphaNeural AI
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whisper-medium-edu-2nd_try
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tensorboard
safetensors
whisper
generated_from_trainer
pt
openai/whisper-medium
finetune
apache-2.0
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Whisper MEDIUM edu 2nd try
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: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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
