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lora-BioQwen-0.5B_2025-05-27_23-39 – AI Model by hejazizo | AlphaNeural AI
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lora-BioQwen-0.5B_2025-05-27_23-39
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peft
safetensors
generated_from_trainer
liyinghong/BioQwen-0.5B
adapter
mit
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lora-BioQwen-0.5B_2025-05-27_23-39
This model is a fine-tuned version of
liyinghong/BioQwen-0.5B
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: 2e-05
train_batch_size: 36
eval_batch_size: 36
seed: 42
gradient_accumulation_steps: 36
total_train_batch_size: 1296
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 100
num_epochs: 3
Training results
Framework versions
PEFT 0.15.1
Transformers 4.50.2
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
