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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Qwen/Qwen3-4B-Base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- winglian/OpenThoughts-114k-math-correct |
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model-index: |
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- name: outputs/model-out-math-4b |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.10.0.dev0` |
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```yaml |
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base_model: Qwen/Qwen3-4B-Base |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
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liger_rms_norm: true |
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liger_glu_activation: true |
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# torch_compile: true |
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dataloader_prefetch_factor: 4 |
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dataloader_num_workers: 2 |
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dataloader_pin_memory: true |
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chat_template: qwen3 |
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datasets: |
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- path: winglian/OpenThoughts-114k-math-correct |
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type: chat_template |
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split: train |
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split_thinking: true |
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eot_tokens: |
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- "<|im_end|>" |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.01 |
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output_dir: ./outputs/model-out-math-4b |
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sequence_len: 8192 |
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sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: kd-4b-math |
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wandb_entity: axolotl-ai |
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wandb_name: sft-4b |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 4 |
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num_epochs: 2 |
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optimizer: adamw_torch_fused |
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adam_beta2: 0.95 |
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lr_scheduler: rex |
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learning_rate: 3e-5 |
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max_grad_norm: 0.1 |
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save_safetensors: true |
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bf16: true |
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tf32: true |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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logging_steps: 1 |
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flash_attention: true |
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warmup_steps: 100 |
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evals_per_epoch: 4 |
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saves_per_epoch: 1 |
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weight_decay: 0.1 |
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special_tokens: |
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eos_token: <|im_end|> |
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deepspeed: deepspeed_configs/zero2_torch_compile.json |
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``` |
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</details><br> |
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# outputs/model-out-math-4b |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3929 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.5644 | 0.0016 | 1 | 0.5801 | |
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| 0.4038 | 0.2504 | 159 | 0.4154 | |
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| 0.3914 | 0.5008 | 318 | 0.4035 | |
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| 0.3812 | 0.7512 | 477 | 0.3960 | |
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| 0.3626 | 1.0016 | 636 | 0.3915 | |
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| 0.316 | 1.2520 | 795 | 0.3958 | |
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| 0.3171 | 1.5024 | 954 | 0.3963 | |
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| 0.2944 | 1.7528 | 1113 | 0.3929 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.7.0+cu128 |
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- Datasets 3.5.1 |
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- Tokenizers 0.21.1 |
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