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grail_v2op_trajq_b64_sft_e3_ck640

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  grail_v2op_traj_b64_sft_e3_ck640/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  oracle_reason_s2_b64_sft_e3_ck300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ {{- "\n" }}
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+ {{- tool | tojson }}
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+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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+ "do_convert_rgb": true,
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+ "do_normalize": true,
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grail_v2op_trajq_b64_sft_e3_ck640/sft.yaml ADDED
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+ # LLaMA-Factory full-parameter SFT of Qwen3-VL-8B-Instruct on one HER-final dataset.
2
+ # Four L40S (46 GB), one run at a time: DeepSpeed ZeRO-3 with optimizer offload to host
3
+ # RAM (~130 GB per run, so two runs do not fit in 372 GB); the vision tower and projector
4
+ # stay frozen (LLaMA-Factory's default for VLMs), the LLM trains.
5
+ # Filled per run by launch_sft.sh: grail_v2op_trajq_343_sft_e3, exps/sft/grail_v2op_trajq_343_sft_e3_k1536, /scratch/kwc5354/viewagent/viewagent_private/exps/sft_runs/grail_v2op_trajq_b64_sft_e3.
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+ ### model
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+ model_name_or_path: /scratch/kwc5354/viewagent/viewagent_private/exps/models/graph_nemi_sft_e2
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+ template: qwen3_vl_nothink
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+ trust_remote_code: true
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+ image_max_pixels: 65536 # frames are 256x256 already; never upscale
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+ image_min_pixels: 4096
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+
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+ ### method
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+ stage: sft
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+ do_train: true
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+ finetuning_type: full
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+ freeze_vision_tower: true
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+ freeze_multi_modal_projector: true
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+ freeze_language_model: false
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+ deepspeed: /scratch/kwc5354/viewagent/viewagent_private/LLaMA-Factory/examples/deepspeed/ds_z3_config.json
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+
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+ ### dataset
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+ dataset: grail_v2op_trajq_343_sft_e3
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+ dataset_dir: exps/sft/grail_v2op_trajq_343_sft_e3_k1536
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+ media_dir: /scratch/kwc5354/viewagent/viewagent_private
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+ cutoff_len: 8192
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+ overwrite_cache: true
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+ preprocessing_num_workers: 16
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+ dataloader_num_workers: 4
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+
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+ ### output
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+ output_dir: /scratch/kwc5354/viewagent/viewagent_private/exps/sft_runs/grail_v2op_trajq_b64_sft_e3
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+ logging_steps: 10
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+ save_strategy: steps
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+ save_steps: 640
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+ save_total_limit: 100
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+ save_only_model: true
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+ plot_loss: true
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+ overwrite_output_dir: true
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+ report_to: wandb
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+
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+ ### train
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+ per_device_train_batch_size: 1
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+ gradient_accumulation_steps: 16
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+ max_steps: 640
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+ learning_rate: 1.0e-5
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+ lr_scheduler_type: cosine
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+ warmup_ratio: 0.03
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+ weight_decay: 0.01
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+ bf16: true
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+ gradient_checkpointing: true
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+ ddp_timeout: 180000000
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+ seed: 0
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+ val_size: 0.05
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+ eval_strategy: steps
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+ eval_steps: 640
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+ per_device_eval_batch_size: 1
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+ run_name: grail_v2op_trajq_b64_sft_e3
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