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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: Qwen/Qwen3-4B-Instruct-2507 |
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tags: |
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- axolotl |
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- base_model:adapter:Qwen/Qwen3-4B-Instruct-2507 |
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- lora |
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- transformers |
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datasets: |
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- LuxMuseAI/StreetMath |
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pipeline_tag: text-generation |
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model-index: |
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- name: outputs/mymodel |
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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: `0.13.0.dev0` |
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```yaml |
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adapter: lora |
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base_model: Qwen/Qwen3-4B-Instruct-2507 |
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bf16: auto |
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dataset_processes: 32 |
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datasets: |
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- type: alpaca |
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message_property_mappings: |
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instruction: instruction |
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input: input |
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output: output |
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path: LuxMuseAI/StreetMath |
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trust_remote_code: false |
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gradient_accumulation_steps: 1 |
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gradient_checkpointing: false |
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learning_rate: 0.0002 |
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lisa_layers_attribute: model.layers |
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load_best_model_at_end: false |
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load_in_4bit: false |
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load_in_8bit: true |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_r: 8 |
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lora_target_modules: |
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- q_proj |
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- v_proj |
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- k_proj |
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- o_proj |
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- gate_proj |
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- down_proj |
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- up_proj |
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loraplus_lr_embedding: 1.0e-06 |
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lr_scheduler: cosine |
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max_prompt_len: 512 |
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mean_resizing_embeddings: false |
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micro_batch_size: 16 |
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num_epochs: 3.0 |
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optimizer: adamw_bnb_8bit |
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output_dir: ./outputs/mymodel |
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pretrain_multipack_attn: true |
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pretrain_multipack_buffer_size: 10000 |
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qlora_sharded_model_loading: false |
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ray_num_workers: 1 |
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resources_per_worker: |
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GPU: 1 |
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sample_packing_bin_size: 200 |
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sample_packing_group_size: 100000 |
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save_only_model: false |
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save_safetensors: true |
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sequence_len: 4096 |
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shuffle_merged_datasets: true |
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skip_prepare_dataset: false |
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strict: false |
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train_on_inputs: false |
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trl: |
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log_completions: false |
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ref_model_mixup_alpha: 0.9 |
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ref_model_sync_steps: 64 |
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sync_ref_model: false |
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use_vllm: false |
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vllm_device: auto |
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vllm_dtype: auto |
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vllm_gpu_memory_utilization: 0.9 |
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use_ray: false |
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val_set_size: 0.0 |
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weight_decay: 0.0 |
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# Weights & Biases logging (optional) |
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wandb_project: StreetMath |
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wandb_entity: ctseng- # Replace with your actual entity name |
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wandb_watch: all |
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wandb_name: StreetMath-4B-Instruct-2507 |
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wandb_log_model: "end" |
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``` |
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</details><br> |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ctseng-/StreetMath/runs/2tnvvjjg) |
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# outputs/mymodel |
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This model is a fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) on the LuxMuseAI/StreetMath dataset. |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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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_BNB with betas=(0.9,0.999) 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: 9 |
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- training_steps: 315 |
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### Training results |
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### Framework versions |
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- PEFT 0.17.0 |
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- Transformers 4.55.2 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
