Qwen3-4B-SFT-medical-1e-5 – AI Model by guangyangnlp | AlphaNeural AI

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guangyangnlp/
Qwen3-4B-SFT-medical-1e-5

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text-generation

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text-generation-inference

endpoints_compatible

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medical-o1-sft-full-1e-5

This model is a fine-tuned version of Qwen/Qwen3-4B on the medical_o1_train dataset. It achieves the following results on the evaluation set:

Loss: 1.3088

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: 1e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
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: 0.05
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.3952	0.3009	44	1.3628
1.3153	0.6017	88	1.3319
1.3174	0.9026	132	1.3175
1.1758	1.1983	176	1.3184
1.2047	1.4991	220	1.3131
1.1961	1.8	264	1.3088
1.1401	2.0957	308	1.3254
1.1144	2.3966	352	1.3240
1.1196	2.6974	396	1.3236
1.0940	2.9983	440	1.3234

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2