Instructions to use cragtmp/task1s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1s with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/task1s") - Notebooks
- Google Colab
- Kaggle
chen commited on
Upload folder using huggingface_hub
Browse files- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- args.json +8 -8
- latest +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +0 -0
- training_args.bin +2 -2
adapter_config.json
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": "(?!^(multi_modal_projector))^(language_model|vision_model).*\\.(
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": "(?!^(multi_modal_projector))^(language_model|vision_model).*\\.(q_proj|v_proj|o_proj|up_proj|down_proj|k_proj|gate_proj|fc2|q_proj|v_proj|o_proj|k_proj|fc1)$",
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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adapter_model.safetensors
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args.json
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"use_chat_template": true,
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"template_backend": "swift",
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"dataset": [
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".
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],
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"val_dataset": [],
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"split_dataset_ratio": 0.01,
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"data_seed":
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"dataset_num_proc": 1,
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"dataset_shuffle": true,
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"val_dataset_shuffle": false,
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"external_plugins": [
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"/data/kdd/crag/cjz/ms-swift/examples/train/grpo/plugin/plugin.py"
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],
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"seed":
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"model_kwargs": {},
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"load_args": false,
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"load_data_args": false,
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"custom_register_path": [],
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"ignore_args_error": false,
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"use_swift_lora": false,
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"output_dir": "/data2/kdd/crag/cjz/agents/output/response/
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"overwrite_output_dir": false,
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"do_train": false,
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"do_eval": false,
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"log_level": "passive",
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"log_level_replica": "warning",
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"log_on_each_node": true,
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"logging_dir": "/data2/kdd/crag/cjz/agents/output/response/
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"logging_strategy": "steps",
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"logging_first_step": true,
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"logging_steps": 1,
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"skip_memory_metrics": true,
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"use_legacy_prediction_loop": false,
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"push_to_hub": false,
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"resume_from_checkpoint":
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"hub_model_id": null,
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"hub_strategy": "every_save",
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"hub_private_repo": null,
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"local_world_size": 1,
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"model_suffix": "Llama-3.2-11B-Vision-Instruct",
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"model_info": "ModelInfo(model_type='llama3_2_vision', model_dir='/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct', torch_dtype=torch.bfloat16, max_model_len=131072, quant_method=None, quant_bits=None, rope_scaling={'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}, config=None, task_type='causal_lm', num_labels=None)",
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-
"model_meta": "ModelMeta(model_type='llama3_2_vision', model_groups=[ModelGroup(models=[Model(ms_model_id='LLM-Research/Llama-3.2-11B-Vision-Instruct', hf_model_id='meta-llama/Llama-3.2-11B-Vision-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-90B-Vision-Instruct', hf_model_id='meta-llama/Llama-3.2-90B-Vision-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-11B-Vision', hf_model_id='meta-llama/Llama-3.2-11B-Vision', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-90B-Vision', hf_model_id='meta-llama/Llama-3.2-90B-Vision', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='llama3_2_vision', get_function=<function get_model_tokenizer_llama3_2_vision at
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"model_dir": "/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct",
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"hub": "<class 'swift.hub.hub.MSHub'>",
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"evaluation_strategy": "steps",
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"training_args": "GRPOConfig(output_dir='/data2/kdd/crag/cjz/agents/output/response/
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}
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"use_chat_template": true,
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"template_backend": "swift",
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"dataset": [
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"task1_phase2_public_gather_easy.json"
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],
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"val_dataset": [],
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"split_dataset_ratio": 0.01,
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"data_seed": 1111,
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"dataset_num_proc": 1,
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"dataset_shuffle": true,
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"val_dataset_shuffle": false,
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"external_plugins": [
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"/data/kdd/crag/cjz/ms-swift/examples/train/grpo/plugin/plugin.py"
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],
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"seed": 1111,
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"model_kwargs": {},
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"load_args": false,
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"load_data_args": false,
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"custom_register_path": [],
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"ignore_args_error": false,
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"use_swift_lora": false,
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"output_dir": "/data2/kdd/crag/cjz/agents/output/response-phase2_easy/v0-20250527-231054",
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"overwrite_output_dir": false,
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"do_train": false,
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"do_eval": false,
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"log_level": "passive",
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"log_level_replica": "warning",
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"log_on_each_node": true,
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"logging_dir": "/data2/kdd/crag/cjz/agents/output/response-phase2_easy/v0-20250527-231054/runs",
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"logging_strategy": "steps",
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"logging_first_step": true,
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"logging_steps": 1,
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"skip_memory_metrics": true,
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"use_legacy_prediction_loop": false,
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"push_to_hub": false,
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"resume_from_checkpoint": null,
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"hub_strategy": "every_save",
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"hub_private_repo": null,
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"local_world_size": 1,
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"model_suffix": "Llama-3.2-11B-Vision-Instruct",
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"model_info": "ModelInfo(model_type='llama3_2_vision', model_dir='/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct', torch_dtype=torch.bfloat16, max_model_len=131072, quant_method=None, quant_bits=None, rope_scaling={'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}, config=None, task_type='causal_lm', num_labels=None)",
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"model_meta": "ModelMeta(model_type='llama3_2_vision', model_groups=[ModelGroup(models=[Model(ms_model_id='LLM-Research/Llama-3.2-11B-Vision-Instruct', hf_model_id='meta-llama/Llama-3.2-11B-Vision-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-90B-Vision-Instruct', hf_model_id='meta-llama/Llama-3.2-90B-Vision-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-11B-Vision', hf_model_id='meta-llama/Llama-3.2-11B-Vision', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-90B-Vision', hf_model_id='meta-llama/Llama-3.2-90B-Vision', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='llama3_2_vision', get_function=<function get_model_tokenizer_llama3_2_vision at 0x7efeae032b90>, model_arch='llama3_2_vision', architectures=['MllamaForConditionalGeneration'], additional_saved_files=[], torch_dtype=None, is_multimodal=True, is_reward=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.45'], tags=[])",
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"model_dir": "/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct",
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"hub": "<class 'swift.hub.hub.MSHub'>",
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"evaluation_strategy": "steps",
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"training_args": "GRPOConfig(output_dir='/data2/kdd/crag/cjz/agents/output/response-phase2_easy/v0-20250527-231054', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=8, per_device_eval_batch_size=8, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0002, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=0.5, num_train_epochs=2.0, max_steps=-1, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs=None, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/data2/kdd/crag/cjz/agents/output/response-phase2_easy/v0-20250527-231054/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=1, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=5, save_total_limit=None, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=1111, data_seed=1111, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=True, eval_steps=500, dataloader_num_workers=4, dataloader_prefetch_factor=10, past_index=-1, run_name='/data2/kdd/crag/cjz/agents/output/response-phase2_easy/v0-20250527-231054', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='reward', greater_is_better=True, ignore_data_skip=False, fsdp=[], 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include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, include_tokens_per_second=None, include_num_input_tokens_seen=None, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=None, model_init_kwargs=None, disable_dropout=False, max_prompt_length=512, num_generations=8, max_completion_length=50, ds3_gather_for_generation=True, shuffle_dataset=True, temperature=1.0, top_p=0.9, top_k=50, min_p=None, repetition_penalty=1.1, cache_implementation=None, use_vllm=True, vllm_server_host=None, vllm_server_port=8000, vllm_server_timeout=240.0, vllm_guided_decoding_regex=None, beta=0.01, num_iterations=2, epsilon=0.2, epsilon_high=0.28, reward_weights=None, scale_rewards=True, loss_type='grpo', mask_truncated_completions=False, sync_ref_model=False, ref_model_mixup_alpha=0.6, ref_model_sync_steps=512, use_liger_loss=False, log_completions=True, num_completions_to_print=None, wandb_log_unique_prompts=None, vllm_device=['auto'], vllm_gpu_memory_utilization=0.8, vllm_dtype=None, vllm_max_model_len=8192, vllm_enable_prefix_caching=True, check_model=True, acc_strategy='token', train_dataloader_shuffle=True, metric_warmup_step=0, fsdp_num=1, acc_steps=1, eval_use_evalscope=False, eval_datasets=[], eval_limit=None, eval_datasets_args=None, eval_generation_config=None, train_type='lora', optimizer=None, local_repo_path=None, galore_config=None, num_infer_workers=1, vllm_max_num_seqs=8, vllm_enforce_eager=False, vllm_limit_mm_per_prompt={}, cosine_min_len_value_wrong=-0.5, cosine_max_len_value_wrong=0.0, cosine_min_len_value_correct=1.0, cosine_max_len_value_correct=0.5, cosine_max_len=50, repetition_n_grams=3, repetition_max_penalty=-1.0, use_lmdeploy=False, lmdeploy_device='auto', lmdeploy_session_len=None, lmdeploy_cache_max_entry_count=0.8, async_generate=False, tensor_parallel_size=1, sleep_level=0, move_model_batches=None, offload_optimizer=False, offload_model=False, gc_collect_after_offload=False, multi_turn_func=None, dynamic_sample=False, max_resample_times=3, overlong_filter=False, soft_max_length=None, soft_cache_length=20, dataset_shuffle=True, stop_words=[])"
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}
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