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Hypert-music – AI Model by HeroGeonil | AlphaNeural AI

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HeroGeonil/
Hypert-music

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Hypert-music

This model is a fine-tuned version of bert-base-uncased 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-05
train_batch_size: 36
eval_batch_size: 24
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 216
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
training_steps: 10000

Training results

Framework versions

Transformers 4.21.0
Pytorch 1.10.1+cu111
Datasets 2.10.1
Tokenizers 0.12.1