Upload task output e733beec-40f2-406c-9e0b-79a8f5d7d30f
Browse files- checkpoints/last/config.yaml +70 -0
checkpoints/last/config.yaml
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config:
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name: last
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process:
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- datasets:
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- cache_latents_to_disk: false
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caption_dropout_rate: 0.2
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caption_ext: txt
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folder_path: /dataset/images/e733beec-40f2-406c-9e0b-79a8f5d7d30f/img
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is_reg: false
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num_repeats: 1
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resolution:
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- 512
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- 768
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- 1024
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device: cuda
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dynamic:
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arch: ideogram4
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end_time_ts: 1784976298.1216478
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eval_dir: /dataset/eval_images/e733beec-40f2-406c-9e0b-79a8f5d7d30f
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eval_on_train: false
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n_seeds: 3
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model:
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arch: ideogram4
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model_kwargs:
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text_encoder_path: /cache/hf_cache/Qwen--Qwen3-VL-8B-Instruct
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name_or_path: /cache/models/gradients-io-tournaments--ideogram-4-fp8
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qtype: qfloat8
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qtype_te: qfloat8
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quantize: false
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quantize_te: false
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unconditional_lora_path: /cache/hf_cache/ideogram_4_unconditional_lora_r16.safetensors
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network:
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linear: 32
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linear_alpha: 32
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lokr_factor: -1
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lokr_full_rank: true
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type: lora
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save:
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dtype: bf16
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max_step_saves_to_keep: 100
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save_every: 100
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save_format: diffusers
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train:
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batch_size: 1
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cfg_scale: 10.0
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content_or_style: balanced
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disable_sampling: true
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do_cfg: true
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dtype: bf16
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ema_config:
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ema_decay: 0.995
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use_ema: true
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gradient_accumulation: 1
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gradient_checkpointing: true
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loss_type: mse
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lr: 0.0001
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noise_scheduler: flowmatch
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optimizer: adamw8bit
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optimizer_params:
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weight_decay: 0.0001
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steps: 100
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timestep_type: weighted
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train_text_encoder: false
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train_unet: true
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training_folder: /app/checkpoints/e733beec-40f2-406c-9e0b-79a8f5d7d30f/owhshit
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type: diffusion_trainer_dynamic
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job: extension
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meta:
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name: ideogram4_lora
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version: '1.0'
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