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Model: winglian/qwen3-4b-math Source: Original Platform
2026-05-20 02:34:06 +08:00
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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-4B-Base
+tags:
+- generated_from_trainer
+datasets:
+- winglian/OpenThoughts-114k-math-correct
+model-index:
+- name: outputs/model-out-math-4b
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.10.0.dev0`
+```yaml
+base_model: Qwen/Qwen3-4B-Base
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+
+liger_rms_norm: true
+liger_glu_activation: true
+
+# torch_compile: true
+
+dataloader_prefetch_factor: 4
+dataloader_num_workers: 2
+dataloader_pin_memory: true
+
+chat_template: qwen3
+datasets:
+  - path: winglian/OpenThoughts-114k-math-correct
+    type: chat_template
+    split: train
+    split_thinking: true
+    eot_tokens:
+      - "<|im_end|>"
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.01
+output_dir: ./outputs/model-out-math-4b
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: kd-4b-math
+wandb_entity: axolotl-ai
+wandb_name: sft-4b
+
+gradient_accumulation_steps: 1
+micro_batch_size: 4
+num_epochs: 2
+optimizer: adamw_torch_fused
+adam_beta2: 0.95
+lr_scheduler: rex
+learning_rate: 3e-5
+max_grad_norm: 0.1
+save_safetensors: true
+
+bf16: true
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+logging_steps: 1
+flash_attention: true
+
+warmup_steps: 100
+evals_per_epoch: 4
+saves_per_epoch: 1
+weight_decay: 0.1
+special_tokens:
+  eos_token: <|im_end|>
+deepspeed: deepspeed_configs/zero2_torch_compile.json
+
+
+```
+
+</details><br>
+
+# outputs/model-out-math-4b
+
+This model is a fine-tuned version of [Qwen/Qwen3-4B-Base](https://huggingface.co/Qwen/Qwen3-4B-Base) on the winglian/OpenThoughts-114k-math-correct dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3929
+
+## 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: 3e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.5644        | 0.0016 | 1    | 0.5801          |
+| 0.4038        | 0.2504 | 159  | 0.4154          |
+| 0.3914        | 0.5008 | 318  | 0.4035          |
+| 0.3812        | 0.7512 | 477  | 0.3960          |
+| 0.3626        | 1.0016 | 636  | 0.3915          |
+| 0.316         | 1.2520 | 795  | 0.3958          |
+| 0.3171        | 1.5024 | 954  | 0.3963          |
+| 0.2944        | 1.7528 | 1113 | 0.3929          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu128
+- Datasets 3.5.1
+- Tokenizers 0.21.1