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v0.8-adapter – AI Model by gotzmann | AlphaNeural AI

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gotzmann/
v0.8-adapter

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The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1.0

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2