PEFT
Safetensors
llama
audio
video
segmentation
mask-quality-assessment
audio-visual-segmentation
lora
Instructions to use Jinxing1/MQ-Auditor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jinxing1/MQ-Auditor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/panwen.hu/workspace1/jinxing.zhou/mllm/Crab/pretrained_weights/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Jinxing1/MQ-Auditor") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_args": { | |
| "model_name_or_path": "/home/panwen.hu/workspace1/jinxing.zhou/mllm/Crab/pretrained_weights/Llama-2-7b-chat-hf", | |
| "freeze_backbone": true, | |
| "llm_name": "llama", | |
| "vit_ckpt_path": "/home/panwen.hu/workspace1/jinxing.zhou/mllm/Crab/pretrained_weights/clip-vit-large-patch14", | |
| "select_feature": "patch", | |
| "image_size": 224, | |
| "patch_size": 14, | |
| "visual_query_token_nums": 32, | |
| "BEATs_ckpt_path": "/home/panwen.hu/workspace1/jinxing.zhou/mllm/Crab/pretrained_weights/BEATs_iter3_plus_AS2M_finetuned_on_AS2M_cpt2.pt", | |
| "audio_query_token_nums": 32, | |
| "prompt_embed_dim": 256, | |
| "mask_decoder_transformer_depth": 2, | |
| "low_res_mask_size": 112, | |
| "image_scale_nums": 2, | |
| "token_nums_per_scale": 3, | |
| "avs_query_num": 300, | |
| "num_classes": 1, | |
| "query_generator_num_layers": 2 | |
| }, | |
| "data_args": { | |
| "video_frame_nums": 10, | |
| "image_caption_task": false, | |
| "video_caption_task": false, | |
| "audio_caption_task": false, | |
| "segmentation_task": false, | |
| "avqa_task": false, | |
| "ave_task": false, | |
| "avvp_task": false, | |
| "arig_task": false, | |
| "ms3_task": false, | |
| "s4_task": false, | |
| "avss_task": false, | |
| "avcap_task": false, | |
| "ref_avs_task": true, | |
| "refavs_meta_csv_path": "../MQ-RAVSBench/train_test_meta_files/metadata.csv", | |
| "refavs_test_image_json_path": "../MQ-RAVSBench/train_test_meta_files/test_s_image_filtered.json", | |
| "refavs_test_u_image_json_path": "../MQ-RAVSBench/train_test_meta_files/test_u_image_filtered.json", | |
| "refavs_test_video_json_path": "../MQ-RAVSBench/train_test_meta_files/test_s_video_filtered.json", | |
| "refavs_test_u_video_json_path": "../MQ-RAVSBench/train_test_meta_files/test_u_video_filtered.json", | |
| "refavs_cot_json_path": "../MQ-RAVSBench/train_test_meta_files/train_audit_only_filtered.json", | |
| "refavs_data_root": "../MQ-RAVSBench", | |
| "refavs_eval_mode": "image", | |
| "refavs_mask_type_filter": "all", | |
| "refavs_mask_rank_filter": -1, | |
| "refavs_mask_encode_mode": "mask_and_masked_frame", | |
| "refavs_pos_ratio": 0.5, | |
| "multi_frames": false, | |
| "data_path": null, | |
| "model_max_length": 512 | |
| }, | |
| "training_args": { | |
| "output_dir": "results_epoch96/Auditonly_mask_and_masked_frame/epochs96_lr1e-4_bs4_gradacc8_lora_r32alpha64_pos0.5_ioulosswei0", | |
| "overwrite_output_dir": false, | |
| "do_train": false, | |
| "do_eval": false, | |
| "do_predict": false, | |
| "evaluation_strategy": "no", | |
| "prediction_loss_only": false, | |
| "per_device_train_batch_size": 4, | |
| "per_device_eval_batch_size": 4, | |
| "per_gpu_train_batch_size": null, | |
| "per_gpu_eval_batch_size": null, | |
| "gradient_accumulation_steps": 8, | |
| "eval_accumulation_steps": null, | |
| "eval_delay": 0, | |
| "learning_rate": 0.0001, | |
| "weight_decay": 0.0, | |
| "adam_beta1": 0.9, | |
| "adam_beta2": 0.999, | |
| "adam_epsilon": 1e-08, | |
| "max_grad_norm": 1.0, | |
| "num_train_epochs": 96.0, | |
| "max_steps": -1, | |
| "lr_scheduler_type": "cosine", | |
| "lr_scheduler_kwargs": {}, | |
| "warmup_ratio": 0.03, | |
| "warmup_steps": 0, | |
| "log_level": "passive", | |
| "log_level_replica": "warning", | |
| "log_on_each_node": true, | |
| "logging_dir": "results_epoch96/Auditonly_mask_and_masked_frame/epochs96_lr1e-4_bs4_gradacc8_lora_r32alpha64_pos0.5_ioulosswei0/runs/May18_17-20-46_gpu-17", | |
| "logging_strategy": "steps", | |
| "logging_first_step": false, | |
| "logging_steps": 1.0, | |
| "logging_nan_inf_filter": true, | |
| "save_strategy": "epoch", | |
| "save_steps": -1.0, | |
| "save_total_limit": 96, | |
| "save_safetensors": true, | |
| "save_on_each_node": false, | |
| "save_only_model": false, | |
| "no_cuda": false, | |
| "use_cpu": false, | |
| "use_mps_device": false, | |
| "seed": 42, | |
| "data_seed": null, | |
| "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": false, | |
| "local_rank": 0, | |
| "ddp_backend": null, | |
| "tpu_num_cores": null, | |
| "tpu_metrics_debug": false, | |
| "debug": [], | |
| "dataloader_drop_last": false, | |
| "eval_steps": null, | |
| "dataloader_num_workers": 4, | |
| "past_index": -1, | |
| "run_name": "results_epoch96/Auditonly_mask_and_masked_frame/epochs96_lr1e-4_bs4_gradacc8_lora_r32alpha64_pos0.5_ioulosswei0", | |
| "disable_tqdm": false, | |
| "remove_unused_columns": false, | |
| "label_names": null, | |
| "load_best_model_at_end": false, | |
| "metric_for_best_model": null, | |
| "greater_is_better": null, | |
| "ignore_data_skip": false, | |
| "fsdp": [], | |
| "fsdp_min_num_params": 0, | |
| "fsdp_config": { | |
| "min_num_params": 0, | |
| "xla": false, | |
| "xla_fsdp_grad_ckpt": false | |
| }, | |
| "fsdp_transformer_layer_cls_to_wrap": null, | |
| "deepspeed": "deepspeed/stage2-offload.json", | |
| "label_smoothing_factor": 0.0, | |
| "optim": "adamw_torch", | |
| "optim_args": null, | |
| "adafactor": false, | |
| "group_by_length": false, | |
| "length_column_name": "length", | |
| "report_to": [ | |
| "tensorboard", | |
| "wandb" | |
| ], | |
| "ddp_find_unused_parameters": true, | |
| "ddp_bucket_cap_mb": null, | |
| "ddp_broadcast_buffers": null, | |
| "dataloader_pin_memory": true, | |
| "dataloader_persistent_workers": false, | |
| "skip_memory_metrics": true, | |
| "use_legacy_prediction_loop": false, | |
| "push_to_hub": false, | |
| "resume_from_checkpoint": null, | |
| "hub_model_id": null, | |
| "hub_strategy": "every_save", | |
| "hub_token": null, | |
| "hub_private_repo": false, | |
| "hub_always_push": false, | |
| "gradient_checkpointing": true, | |
| "gradient_checkpointing_kwargs": null, | |
| "include_inputs_for_metrics": false, | |
| "fp16_backend": "auto", | |
| "push_to_hub_model_id": null, | |
| "push_to_hub_organization": null, | |
| "push_to_hub_token": null, | |
| "_n_gpu": 1, | |
| "mp_parameters": "", | |
| "auto_find_batch_size": false, | |
| "full_determinism": false, | |
| "torchdynamo": null, | |
| "ray_scope": "last", | |
| "ddp_timeout": 1800, | |
| "torch_compile": false, | |
| "torch_compile_backend": null, | |
| "torch_compile_mode": null, | |
| "dispatch_batches": null, | |
| "split_batches": false, | |
| "include_tokens_per_second": false, | |
| "include_num_input_tokens_seen": false, | |
| "neftune_noise_alpha": null, | |
| "mm_projector_lr": null, | |
| "freeze_mm_mlp_adapter": false, | |
| "cache_dir": null, | |
| "group_by_modality_length": false, | |
| "double_quant": true, | |
| "quant_type": "nf4", | |
| "bits": 32, | |
| "lora_enable": true, | |
| "lora_r": 32, | |
| "lora_alpha": 64, | |
| "lora_dropout": 0.05, | |
| "lora_weight_path": "", | |
| "lora_bias": "none", | |
| "ce_loss_weight": 1.0, | |
| "dice_loss_weight": 0.5, | |
| "bce_loss_weight": 1.0, | |
| "iou_loss_weight": 0.0, | |
| "audio_branch": true, | |
| "visual_branch": true, | |
| "seg_branch": false, | |
| "pretrain_ckpt_dir": "/home/panwen.hu/workspace1/jinxing.zhou/mllm/Crab/pretrained_weights", | |
| "finetune_ckpt_dir": "", | |
| "save_modules": "vl_projector,al_projector,lora", | |
| "exp_desc": "exp", | |
| "use_process": true, | |
| "use_hyper_lora": true | |
| } | |
| } |