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Qwen3-8B_Med_SFT – AI Model by fisher422 | AlphaNeural AI
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Qwen3-8B_Med_SFT
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Model card
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train_2025-07-10-22-03
This model is a fine-tuned version of
/root/autodl-tmp/Qwen/Qwen3-8B
on the medical_sft_ready_train_v3 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: 0.0005
train_batch_size: 6
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 6
total_train_batch_size: 72
total_eval_batch_size: 16
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: 150
num_epochs: 4.0
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.1
