初始化项目，由ModelHub XC社区提供模型

Model: guangyangnlp/Qwen3-4B-SFT-medical-1e-5
Source: Original Platform

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen3-4B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: medical-o1-sft-full-1e-5
+  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-1e-5
+
+This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/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