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whisper-medium – AI Model by shane062 | AlphaNeural AI

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shane062/
whisper-medium

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automatic-speech-recognition

generated_from_trainer

shane062/whisper-medium-300v3

endpoints_compatible

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whisper-medium

This model is a fine-tuned version of shane062/whisper-medium-300v3 on the audiofolder 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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 30
training_steps: 300

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1