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Model: graf/Qwen3-1.7B-SFT-medical-2e-5
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen3-1.7B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: medical-o1-sft-full
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# medical-o1-sft-full
+
+This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/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