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RAR/checkpoints/config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "/home/work/shared-fi-datasets-01/users/hsiang.chen/Project/ModelZoo/LLM/vicuna/vicuna-7b-v1.5",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

RAR/checkpoints/epoch_5_step_60506_weight.pth

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RAR/checkpoints/epoch_6_step_65000.pth

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RAR/checkpoints/latest.pth

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RAR/checkpoints/special_tokens_map.json

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+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "normalized": false,
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+  }
+}

RAR/checkpoints/tokenizer.model

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RAR/checkpoints/tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "single_word": false,
+      "special": true
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+      "special": true
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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "use_fast": false
+}

RAR/config.yaml

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+data:
+    data_dir:
+    - None
+    caption_proportion:
+        prompt: 1
+    external_caption_suffixes: []
+    external_clipscore_suffixes: []
+    clip_thr_temperature: 0.1
+    clip_thr: 25.0
+    del_img_clip_thr: 0.0
+    sort_dataset: false
+    load_text_feat: false
+    load_vae_feat: false
+    transform: default_train
+    type: IRImgDataset
+    image_size: 256
+    hq_only: false
+    valid_num: 0
+    data: null
+    extra: null
+    dset: train_brief
+    max_samples: null
+    use_tokens: ALL
+    max_tokens: 400
+    caption_type: question
+    return_meta: true
+    need_resize: true
+    synthetic_composite: true
+model:
+    model: SD35M_D2C
+    model_pretrained: /home/CORP/hsiang.chen/Projects/RAR/Models/ModelZoo/stable-diffusion-3.5-medium/sd3.5_medium.safetensors
+    shift: 3.0
+    teacher: null
+    input_channel: 16
+    image_size: 256
+    mixed_precision: bf16
+    fp32_attention: true
+    load_from: /home/CORP/hsiang.chen/Projects/RAR/Models/ModelZoo/backbone/epoch_100_step_302601.pth
+    discriminator_model: null
+    teacher_model: null
+    teacher_model_weight_dtype: null
+    resume_from: null
+    aspect_ratio_type: ASPECT_RATIO_1024
+    multi_scale: false
+    pe_interpolation: 1.0
+    micro_condition: false
+    attn_type: linear
+    autocast_linear_attn: false
+    ffn_type: glumbconv
+    mlp_acts:
+    - silu
+    - silu
+    - null
+    mlp_ratio: 2.5
+    use_pe: false
+    pos_embed_type: sincos
+    qk_norm: false
+    class_dropout_prob: 0.1
+    linear_head_dim: 32
+    cross_norm: false
+    cross_attn_type: flash
+    logvar: false
+    cfg_scale: 4
+    cfg_embed: false
+    cfg_embed_scale: 1.0
+    guidance_type: classifier-free
+    pag_applied_layers:
+    - 8
+    ladd_multi_scale: true
+    head_block_ids: null
+    extra: null
+vae:
+    vae_type: SDVAE
+    vae_pretrained: /home/CORP/hsiang.chen/Projects/RAR/Models/ModelZoo/stable-diffusion-3.5-medium/sd3.5_medium.safetensors
+    weight_dtype: float32
+    scale_factor: 0.41407
+    vae_latent_dim: 16
+    vae_downsample_rate: 8
+    sample_posterior: true
+    extra: null
+text_encoder:
+    text_encoder_name: empty
+    text_encoder_pretrained: /home/CORP/hsiang.chen/Projects/RAR/Models/ModelZoo/stable-diffusion-3.5-medium/text_encoders
+    caption_channels: 4096
+    y_norm: true
+    y_norm_scale_factor: 0.01
+    model_max_length: 300
+    chi_prompt:
+    - a photo of a cat
+    - Convenience store entrance at night. On the glass door, a vinyl decal reads
+        'OPEN FOR QUALITY'. Inside, shelves and fluorescent lights; outside, a cyclist
+        passing by
+    - Sunrise beach, shallow tide washing over smooth sand. A piece of weathered driftwood
+        lies near the shoreline with a subtle branded text [SOS] on its surface; wet
+        sand reflections, micro-ripples, sun flare at horizon.
+    extra: null
+connector:
+    model: QFormer
+    model_pretrained: None
+    input_channel: 4096
+    num_input_tokens: 400
+    num_query_tokens: 77
+    hidden_dim: 1024
+    layers: 8
+    heads: 16
+    resume_from: None
+    load_from: /home/CORP/hsiang.chen/Projects/RAR/Models/ModelZoo/connector/epoch_100_step_19001.pth
+assessment:
+    model: SDQA
+    model_config: ./iqa/config.yaml
+scheduler:
+    train_sampling_steps: 1000
+    predict_flow_v: true
+    noise_schedule: linear_flow
+    pred_sigma: false
+    learn_sigma: true
+    vis_sampler: flow_dpm-solver
+    flow_shift: 3.0
+    weighting_scheme: logit_normal
+    weighting_scheme_discriminator: logit_normal_trigflow
+    add_noise_timesteps:
+    - 1.5708
+    logit_mean: 0.0
+    logit_std: 1.0
+    logit_mean_discriminator: 0.0
+    logit_std_discriminator: 1.0
+    sigma_data: 0.5
+    timestep_norm_scale_factor: 1.0
+    extra: null
+    recur_round: 4
+    recur_truncated: false
+    recur_loss_weights:
+    - 0.2
+    - 0.4
+    - 0.6
+    - 1.0
+    update_image: true
+train:
+    train_type: bf16
+    resume_from: None
+    num_workers: 10
+    seed: 1229
+    train_batch_size: 1
+    num_epochs: 100
+    gradient_accumulation_steps: 16
+    grad_checkpointing: true
+    gradient_clip: 0.1
+    gc_step: 1
+    optimizer:
+        betas:
+        - 0.9
+        - 0.999
+        - 0.9999
+        eps:
+        - 1.0e-30
+        - 1.0e-16
+        lr: 2.0e-06
+        type: CAMEWrapper
+        weight_decay: 0.0
+    optimizer_D:
+        eps: 1.0e-10
+        lr: 0.0001
+        type: AdamW
+        weight_decay: 0.03
+    load_from_optimizer: false
+    load_from_lr_scheduler: false
+    resume_lr_scheduler: true
+    lr_schedule: cosine
+    lr_schedule_args:
+        num_warmup_steps: 2000
+    auto_lr:
+        rule: sqrt
+    eval_batch_size: 16
+    use_fsdp: false
+    use_flash_attn: false
+    eval_sampling_steps: 1000
+    lora_rank: 4
+    log_interval: 100
+    mask_type: 'null'
+    mask_loss_coef: 0.0
+    load_mask_index: false
+    snr_loss: false
+    real_prompt_ratio: 1.0
+    early_stop_hours: 10000.0
+    save_image_epochs: 1
+    save_model_epochs: 1
+    save_model_steps: 5000
+    visualize: true
+    null_embed_root: output/pretrained_models/
+    valid_prompt_embed_root: output/tmp_embed/
+    validation_prompts:
+    - dog
+    - portrait photo of a girl, photograph, highly detailed face, depth of field
+    - Self-portrait oil painting, a beautiful cyborg with golden hair, 8k
+    - Astronaut in a jungle, cold color palette, muted colors, detailed, 8k
+    - A photo of beautiful mountain with realistic sunset and blue lake, highly detailed,
+        masterpiece
+    local_save_vis: true
+    deterministic_validation: true
+    online_metric: false
+    eval_metric_step: 2000
+    online_metric_dir: metric_helper
+    work_dir: output_c2c/sd35m_d2c_multi
+    skip_step: 0
+    loss_type: huber
+    huber_c: 0.001
+    num_ddim_timesteps: 50
+    ema_decay: 0.95
+    debug_nan: false
+    ema_update: false
+    ema_rate: 0.9999
+    tangent_warmup_steps: 10000
+    scm_cfg_scale:
+    - 1.0
+    cfg_interval: null
+    scm_logvar_loss: true
+    norm_invariant_to_spatial_dim: true
+    norm_same_as_512_scale: false
+    g_norm_constant: 0.1
+    g_norm_r: 1.0
+    show_gradient: false
+    lr_scale: null
+    adv_lambda: 1.0
+    scm_loss: true
+    scm_lambda: 1.0
+    loss_scale: 1.0
+    r1_penalty: false
+    r1_penalty_weight: 1.0e-05
+    diff_timesteps_D: true
+    suffix_checkpoints: disc
+    misaligned_pairs_D: false
+    discriminator_loss: cross entropy
+    largest_timestep: 1.5708
+    train_largest_timestep: false
+    largest_timestep_prob: 0.5
+    extra: null
+controlnet: null
+model_growth: null
+work_dir: output_composite/sd35m_d2c_multi_bf16_lr2e6
+resume_from: null
+load_from: null
+debug: true
+caching: false
+report_to: tensorboard
+tracker_project_name: sana-baseline
+name: tmp
+loss_report_name: loss

RAR/logs/sana-baseline/events.out.tfevents.1761237723.main1.2421250.0

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