Text Generation
PEFT
Safetensors
lora
spectral-surgery
training-seed-replication
b300
math
seed-43
conversational
Instructions to use tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43") - Notebooks
- Google Colab
- Kaggle
Download training_args.json from tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43: direct link, hf CLI and curl.
- Browser
- Download file 3.4 kB
-
https://huggingface.co/tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43/resolve/main/training_args.json
- Command line
-
hf download hf://tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43/training_args.json
-
curl -L -o training_args.json https://huggingface.co/tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43/resolve/main/training_args.json
3.4 kB
| { | |
| "output_dir": "<LOCAL_PATH>/metamath", | |
| "per_device_train_batch_size": 16, | |
| "num_train_epochs": 3.0, | |
| "max_steps": -1, | |
| "learning_rate": 0.0001, | |
| "lr_scheduler_type": "cosine", | |
| "lr_scheduler_kwargs": null, | |
| "warmup_steps": 0, | |
| "optim": "adamw_torch_fused", | |
| "optim_args": null, | |
| "weight_decay": 0.0, | |
| "adam_beta1": 0.9, | |
| "adam_beta2": 0.999, | |
| "adam_epsilon": 1e-08, | |
| "optim_target_modules": null, | |
| "gradient_accumulation_steps": 2, | |
| "average_tokens_across_devices": true, | |
| "max_grad_norm": 1.0, | |
| "label_smoothing_factor": 0.0, | |
| "bf16": true, | |
| "fp16": false, | |
| "bf16_full_eval": false, | |
| "fp16_full_eval": false, | |
| "tf32": null, | |
| "gradient_checkpointing": true, | |
| "gradient_checkpointing_kwargs": null, | |
| "torch_compile": false, | |
| "torch_compile_backend": null, | |
| "torch_compile_mode": null, | |
| "use_liger_kernel": false, | |
| "liger_kernel_config": null, | |
| "use_cache": false, | |
| "neftune_noise_alpha": null, | |
| "torch_empty_cache_steps": null, | |
| "auto_find_batch_size": false, | |
| "logging_strategy": "steps", | |
| "logging_steps": 25, | |
| "logging_first_step": false, | |
| "log_on_each_node": true, | |
| "logging_nan_inf_filter": true, | |
| "include_num_input_tokens_seen": "no", | |
| "log_level": "passive", | |
| "log_level_replica": "warning", | |
| "disable_tqdm": false, | |
| "report_to": [], | |
| "run_name": null, | |
| "project": "huggingface", | |
| "trackio_space_id": null, | |
| "trackio_bucket_id": null, | |
| "trackio_static_space_id": null, | |
| "eval_strategy": "no", | |
| "eval_steps": null, | |
| "eval_delay": 0, | |
| "per_device_eval_batch_size": 8, | |
| "prediction_loss_only": false, | |
| "eval_on_start": false, | |
| "eval_do_concat_batches": true, | |
| "eval_use_gather_object": false, | |
| "eval_accumulation_steps": null, | |
| "include_for_metrics": [], | |
| "batch_eval_metrics": false, | |
| "save_only_model": false, | |
| "save_strategy": "epoch", | |
| "save_steps": 500, | |
| "save_on_each_node": false, | |
| "save_total_limit": 1, | |
| "enable_jit_checkpoint": false, | |
| "push_to_hub": false, | |
| "hub_token": "<REDACTED>", | |
| "hub_private_repo": null, | |
| "hub_model_id": null, | |
| "hub_strategy": "every_save", | |
| "hub_always_push": false, | |
| "hub_revision": null, | |
| "load_best_model_at_end": false, | |
| "metric_for_best_model": null, | |
| "greater_is_better": null, | |
| "ignore_data_skip": false, | |
| "restore_callback_states_from_checkpoint": false, | |
| "full_determinism": false, | |
| "seed": 43, | |
| "data_seed": 43, | |
| "use_cpu": false, | |
| "accelerator_config": { | |
| "split_batches": false, | |
| "dispatch_batches": null, | |
| "even_batches": true, | |
| "use_seedable_sampler": true, | |
| "non_blocking": false, | |
| "gradient_accumulation_kwargs": null | |
| }, | |
| "parallelism_config": null, | |
| "dataloader_drop_last": false, | |
| "dataloader_num_workers": 0, | |
| "dataloader_pin_memory": true, | |
| "dataloader_persistent_workers": false, | |
| "dataloader_prefetch_factor": null, | |
| "dataloader_multiprocessing_context": null, | |
| "dataloader_in_order": true, | |
| "remove_unused_columns": false, | |
| "label_names": null, | |
| "train_sampling_strategy": "random", | |
| "length_column_name": "length", | |
| "ddp_find_unused_parameters": false, | |
| "ddp_bucket_cap_mb": null, | |
| "ddp_broadcast_buffers": null, | |
| "ddp_static_graph": null, | |
| "ddp_backend": null, | |
| "ddp_timeout": 1800, | |
| "fsdp": null, | |
| "fsdp_config": null, | |
| "deepspeed": null, | |
| "debug": [], | |
| "skip_memory_metrics": true, | |
| "do_train": false, | |
| "do_eval": false, | |
| "do_predict": false, | |
| "resume_from_checkpoint": null, | |
| "local_rank": -1 | |
| } | |