Qwen3-1.7B-SFT-medical-2e-5/README.md

library_name, license, base_model, tags, model-index

library_name	license	base_model	tags	model-index
transformers	other	Qwen/Qwen3-1.7B	llama-factory full generated_from_trainer	name results medical-o1-sft-full

medical-o1-sft-full

This model is a fine-tuned version of Qwen/Qwen3-1.7B on the medical_o1_train dataset. It achieves the following results on the evaluation set:

• Loss: 1.4089

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• 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
1.4962	0.3419	50	1.4686
1.4215	0.6838	100	1.4337
1.3304	1.0205	150	1.4194
1.3097	1.3624	200	1.4159
1.3175	1.7043	250	1.4089
1.2195	2.0410	300	1.4176
1.2726	2.3829	350	1.4229
1.1895	2.7248	400	1.4216

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2