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TI2T_13B_RM_2392

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TI2T_13B_RM_2392
File size: 2,528 Bytes 
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_wandb:
    value:
        cli_version: 0.18.5
        m: []
        python_version: 3.11.10
        t:
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            "3":
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            "4": 3.11.10
            "5": 0.18.5
            "6": 4.46.0.dev0
            "8":
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            "12": 0.18.5
            "13": linux-x86_64
data_cfgs:
    value:
        eval_data_files: null
        eval_datasets: /home/align-anything/datasets/40k_ti2t_filtered
        eval_name: null
        eval_optional_args: []
        eval_size: null
        eval_split: train
        eval_subset: null
        eval_template: AA_TI2T
        train_data_files: null
        train_datasets: /data/align-anything/jiayi/ti2t/refine_gen_wo_res/1021_13b_2000
        train_name: null
        train_optional_args: []
        train_size: null
        train_split: train
        train_subset: null
        train_template: AA_TI2T_Critique
logger_cfgs:
    value:
        cache_dir: null
        log_project: align-anything
        log_run_name: rm
        log_type: wandb
        output_dir: /data/align-anything/jiayi/ti2t/rm_10_22_ours_13b_2000
        save_interval: 598
model_cfgs:
    value:
        model_max_length: 2048
        model_name_or_path: /data/models/llava/llava-1.5-13b-hf
        trust_remote_code: true
special_tokens:
    value: null
train_cfgs:
    value:
        adam_betas:
            - 0.9
            - 0.95
        bf16: true
        ds_cfgs: ds_z3_config.json
        epochs: 5
        eval_interval: 10
        eval_strategy: epoch
        fp16: false
        freeze_language_model: false
        freeze_mm_proj: false
        freeze_vision_tower: true
        gradient_accumulation_steps: 1
        gradient_checkpointing: true
        learning_rate: 3e-05
        lr_scheduler_type: constant_with_warmup
        lr_warmup_ratio: 0.03
        per_device_eval_batch_size: 4
        per_device_train_batch_size: 4
        regularization: 0.001
        seed: 42
        weight_decay: 0