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Model: boradorish/qwen3-4b-base-prompt
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen3-4B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: sft_base
+  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. -->
+
+# sft_base
+
+This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) on the sunny_reasoning dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0087
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- total_eval_batch_size: 2
+- 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_ratio: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0056        | 0.1698 | 92   | 0.0098          |
+| 0.0115        | 0.3397 | 184  | 0.0107          |
+| 0.015         | 0.5095 | 276  | 0.0094          |
+| 0.0082        | 0.6794 | 368  | 0.0104          |
+| 0.0094        | 0.8492 | 460  | 0.0095          |
+| 0.0038        | 1.0185 | 552  | 0.0086          |
+| 0.0029        | 1.1883 | 644  | 0.0095          |
+| 0.01          | 1.3581 | 736  | 0.0082          |
+| 0.0019        | 1.5280 | 828  | 0.0081          |
+| 0.0045        | 1.6978 | 920  | 0.0080          |
+| 0.0091        | 1.8677 | 1012 | 0.0077          |
+| 0.0057        | 2.0369 | 1104 | 0.0081          |
+| 0.0006        | 2.2068 | 1196 | 0.0086          |
+| 0.0075        | 2.3766 | 1288 | 0.0088          |
+| 0.0065        | 2.5464 | 1380 | 0.0087          |
+| 0.0084        | 2.7163 | 1472 | 0.0087          |
+| 0.0027        | 2.8861 | 1564 | 0.0087          |
+
+
+### Framework versions
+
+- Transformers 4.56.2
+- Pytorch 2.11.0+cu128
+- Datasets 3.0.0
+- Tokenizers 0.22.2