RenzKa
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Upload model
Browse files
simlingo/.hydra/config.yaml
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model:
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vision_model:
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variant: OpenGVLab/InternVL2-1B
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embed_dim: 512
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freeze: false
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_target_: simlingo_training.models.encoder.vlm.VLMEncoderModel
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language_model:
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variant: OpenGVLab/InternVL2-1B
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lora: true
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lora_alpha: 64
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lora_r: 32
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lora_dropout: 0.1
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_target_: simlingo_training.models.language_model.llm.LLM
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lr: 3.0e-05
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weight_decay: 0.1
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betas:
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- 0.9
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- 0.999
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pct_start: 0.05
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speed_wps_mode: 2d
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predict_route_as_wps: true
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_target_: simlingo_training.models.driving.DrivingModel
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data_module:
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base_dataset:
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data_path: database/simlingo_v2_2025_01_10
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bucket_path: database/bucketsv2_simlingo_v2_2025_01_10
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cut_bottom_quarter: true
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use_1d_wps: false
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use_commentary: true
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use_qa: true
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qa_augmentation: true
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commentary_augmentation: true
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use_old_towns: true
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use_only_old_towns: false
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use_town13: true
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skip_first_n_frames: 10
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pred_len: 11
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hist_len: 1
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hist_len_commentary: 5
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img_augmentation: true
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img_augmentation_prob: 0.5
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img_shift_augmentation: true
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img_shift_augmentation_prob: 0.5
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use_safety_flag: true
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num_route_points: 20
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route_as: target_point_command
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use_lmdrive_commands: true
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driving_dataset:
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_target_: simlingo_training.dataloader.dataset_driving.Data_Driving
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dreamer_dataset:
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_target_: simlingo_training.dataloader.dataset_dreamer.Data_Dreamer
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qa_dataset:
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_target_: simlingo_training.dataloader.dataset_eval_qa_comm.Data_Eval
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insteval_dataset:
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_target_: simlingo_training.dataloader.dataset_dreamer.Eval_Dreamer
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batch_size: 8
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num_workers: 8
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train_partitions:
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all: 0.082
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acceleration_negative_5: 0.03
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acceleration_negative_1: 0.03
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acceleration_positive_1: 0.03
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acceleration_positive_5: 0.03
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lateral_control_1_2: 0.12
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lateral_control_higher_5: 0.12
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start_from_stop: 0.07
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vehicle_front: 0.04
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vehicle_side: 0.08
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leading_object_vehicle: 0.09
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leading_object_traffic.stop: 0.07
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leading_object_traffic.traffic_light: 0.07
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leading_object_walker: 0.05
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changed_route: 0.08
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parkinglane: 0.008
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train_partitions_dreamer:
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all: 1.0
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use_global_img: false
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_target_: simlingo_training.dataloader.datamodule.DataModule
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seed: 42
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gpus: 8
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resume: false
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resume_path: null
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debug: false
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overfit: 0
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fp16_loss_scale: 32.0
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enable_wandb: true
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wandb_project: simlingo
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name: simlingo
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wandb_name: '2025_05_27_15_45_20'
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max_epochs: 15
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precision: 16-mixed
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strategy: deepspeed_stage_2
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val_every_n_epochs: 2
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checkpoint: null
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simlingo/checkpoints/epoch=013.ckpt/checkpoint/zero_pp_rank_6_mp_rank_00_optim_states.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c036262f22b276d60683677ed25bf49b886ae4571ca7df06a3ddc54772a722ef
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size 491306184
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simlingo/checkpoints/epoch=013.ckpt/checkpoint/zero_pp_rank_7_mp_rank_00_optim_states.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f00f5dd42d2d136628c88d4bfb768b5c977e1d049ff5bf8c06e2162bd5b9f83
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size 491349256
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