Qwen3-1.7B-SFT-medical-2e-5 – AI Model by graf | AlphaNeural AI

You can deploy this model and start earning money today!

graf/
Qwen3-1.7B-SFT-medical-2e-5

like

0

text-generation

generated_from_trainer

Qwen/Qwen3-1.7B

text-generation-inference

endpoints_compatible

Views

No views yet

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