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protGPT2_2025_LoRA_r4 – AI Model by Lifan-Z | AlphaNeural AI
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Lifan-Z
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protGPT2_2025_LoRA_r4
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
nferruz/ProtGPT2
apache-2.0
us
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protGPT2_2025_LoRA_r4
This model is a fine-tuned version of
nferruz/ProtGPT2
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 4
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
