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coco/pixart_alpha/run_007/Eval/eval.log.rank0

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+[2026-08-19 20:38:13] [RANK-0] [INFO] Loading PixArt-Sigma pipeline from RESULTS/coco/run_015 ...
+[2026-08-19 20:38:13] [RANK-0] [INFO]   Using dtype: torch.bfloat16 (fp16 is known to overflow/NaN on PixArt-Sigma's transformer + T5 text encoder; bf16 fixes it)
+[2026-08-19 20:38:16] [RANK-0] [INFO] Loading FID metric (torchmetrics, feature=2048) ...
+[2026-08-19 20:38:17] [RANK-0] [INFO] Loading CLIP (ViT-B/32) ...
+[2026-08-19 20:38:18] [RANK-0] [INFO] Loading LPIPS ...
+[2026-08-19 20:38:18] [RANK-0] [INFO] Loading PickScore ...
+[2026-08-19 20:38:25] [RANK-0] [INFO] Loading HPSv2 (v2.0) ...
+[2026-08-19 20:38:32] [RANK-0] [INFO] Loading HPSv2.1 (v2.1) ...
+[2026-08-19 20:38:39] [RANK-0] [INFO] Loading Aesthetic scorer ...
+[2026-08-19 20:38:42] [RANK-0] [INFO] Dataset: 5000 samples split across 4 GPUs (~20 batches/rank)
+[2026-08-19 20:38:42] [RANK-0] [INFO] Starting evaluation...
+[2026-08-19 20:38:42] [RANK-0] [INFO]   Checkpoint   : RESULTS/coco/run_015
+[2026-08-19 20:38:42] [RANK-0] [INFO]   Gen dtype    : torch.bfloat16
+[2026-08-19 20:38:42] [RANK-0] [INFO]   Total samples: 5000 | World size: 4
+[2026-08-19 20:38:42] [RANK-0] [INFO]   FID dim      : 2048 | Inf steps: 20 | Guidance: 5.0
+[2026-08-19 20:38:42] [RANK-0] [INFO]   Saving generated images to: ./RESULTS/coco/run_015/Eval/generated_images
+[2026-08-19 20:49:59] [RANK-0] [INFO] [rank 0] Batch [10/20] | CLIP 31.1251 | LPIPS 0.7555 | Pick 0.2230 | HPSv2 0.2895 | HPSv2.1 0.2875 | Aes 5.4257
+[2026-08-19 21:00:45] [RANK-0] [INFO] [rank 0] Batch [20/20] | CLIP 31.1174 | LPIPS 0.7634 | Pick 0.2237 | HPSv2 0.2890 | HPSv2.1 0.2872 | Aes 5.4327
+[2026-08-19 21:00:45] [RANK-0] [INFO] Finished feature extraction. Computing final FID...
+[2026-08-19 21:00:54] [RANK-0] [INFO] Gathering other-metric results from all ranks ...
+[2026-08-19 21:00:54] [RANK-0] [INFO] ============================================================
+[2026-08-19 21:00:54] [RANK-0] [INFO]   FID        : 29.266226
+[2026-08-19 21:00:54] [RANK-0] [INFO]   CLIP       : 31.219839
+[2026-08-19 21:00:54] [RANK-0] [INFO]   LPIPS      : 0.763202
+[2026-08-19 21:00:54] [RANK-0] [INFO]   PickScore  : 0.224113
+[2026-08-19 21:00:54] [RANK-0] [INFO]   HPSv2      : 0.289558
+[2026-08-19 21:00:54] [RANK-0] [INFO]   HPSv2.1    : 0.288345
+[2026-08-19 21:00:54] [RANK-0] [INFO]   Aesthetic  : 5.439419
+[2026-08-19 21:00:54] [RANK-0] [INFO] ============================================================
+[2026-08-19 21:00:54] [RANK-0] [INFO] Results saved to ./RESULTS/coco/run_015/Eval/eval_results.json

coco/pixart_alpha/run_007/Eval/eval_results.json

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+{
+    "checkpoint": "RESULTS/coco/run_015",
+    "gen_dtype": "torch.bfloat16",
+    "num_samples": 5000,
+    "world_size": 4,
+    "resolution": 512,
+    "fid_dim": 2048,
+    "inf_steps": 20,
+    "guidance": 5.0,
+    "FID": 29.266225814819336,
+    "CLIP": 31.219839304685593,
+    "LPIPS": 0.7632024630904197,
+    "PickScore": 0.2241126233578304,
+    "HPSv2": 0.289557802605251,
+    "HPSv2.1": 0.2883445006141247,
+    "Aesthetic": 5.439418733119965
+}

coco/pixart_alpha/run_008/Eval/eval.log.rank0

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+[2026-08-20 03:44:19] [RANK-0] [INFO] Loading PixArt-Sigma pipeline from RESULTS/coco/run_016 ...
+[2026-08-20 03:44:19] [RANK-0] [INFO]   Using dtype: torch.bfloat16 (fp16 is known to overflow/NaN on PixArt-Sigma's transformer + T5 text encoder; bf16 fixes it)
+[2026-08-20 03:44:23] [RANK-0] [INFO] Loading FID metric (torchmetrics, feature=2048) ...
+[2026-08-20 03:44:23] [RANK-0] [INFO] Loading CLIP (ViT-B/32) ...
+[2026-08-20 03:44:25] [RANK-0] [INFO] Loading LPIPS ...
+[2026-08-20 03:44:25] [RANK-0] [INFO] Loading PickScore ...
+[2026-08-20 03:44:33] [RANK-0] [INFO] Loading HPSv2 (v2.0) ...
+[2026-08-20 03:44:41] [RANK-0] [INFO] Loading HPSv2.1 (v2.1) ...
+[2026-08-20 03:44:48] [RANK-0] [INFO] Loading Aesthetic scorer ...
+[2026-08-20 03:44:51] [RANK-0] [INFO] Dataset: 5000 samples split across 4 GPUs (~20 batches/rank)
+[2026-08-20 03:44:51] [RANK-0] [INFO] Starting evaluation...
+[2026-08-20 03:44:51] [RANK-0] [INFO]   Checkpoint   : RESULTS/coco/run_016
+[2026-08-20 03:44:51] [RANK-0] [INFO]   Gen dtype    : torch.bfloat16
+[2026-08-20 03:44:51] [RANK-0] [INFO]   Total samples: 5000 | World size: 4
+[2026-08-20 03:44:51] [RANK-0] [INFO]   FID dim      : 2048 | Inf steps: 20 | Guidance: 5.0
+[2026-08-20 03:44:51] [RANK-0] [INFO]   Saving generated images to: ./RESULTS/coco/run_016/Eval/generated_images
+[2026-08-20 03:56:10] [RANK-0] [INFO] [rank 0] Batch [10/20] | CLIP 31.1396 | LPIPS 0.7549 | Pick 0.2224 | HPSv2 0.2884 | HPSv2.1 0.2853 | Aes 5.4003
+[2026-08-20 04:06:55] [RANK-0] [INFO] [rank 0] Batch [20/20] | CLIP 31.1373 | LPIPS 0.7635 | Pick 0.2228 | HPSv2 0.2879 | HPSv2.1 0.2851 | Aes 5.4097
+[2026-08-20 04:06:56] [RANK-0] [INFO] Finished feature extraction. Computing final FID...
+[2026-08-20 04:07:01] [RANK-0] [INFO] Gathering other-metric results from all ranks ...
+[2026-08-20 04:07:01] [RANK-0] [INFO] ============================================================
+[2026-08-20 04:07:01] [RANK-0] [INFO]   FID        : 28.148584
+[2026-08-20 04:07:01] [RANK-0] [INFO]   CLIP       : 31.241649
+[2026-08-20 04:07:01] [RANK-0] [INFO]   LPIPS      : 0.763123
+[2026-08-20 04:07:01] [RANK-0] [INFO]   PickScore  : 0.223268
+[2026-08-20 04:07:01] [RANK-0] [INFO]   HPSv2      : 0.288514
+[2026-08-20 04:07:01] [RANK-0] [INFO]   HPSv2.1    : 0.286014
+[2026-08-20 04:07:01] [RANK-0] [INFO]   Aesthetic  : 5.404374
+[2026-08-20 04:07:01] [RANK-0] [INFO] ============================================================
+[2026-08-20 04:07:01] [RANK-0] [INFO] Results saved to ./RESULTS/coco/run_016/Eval/eval_results.json

coco/pixart_alpha/run_008/Eval/eval_results.json

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+{
+    "checkpoint": "RESULTS/coco/run_016",
+    "gen_dtype": "torch.bfloat16",
+    "num_samples": 5000,
+    "world_size": 4,
+    "resolution": 512,
+    "fid_dim": 2048,
+    "inf_steps": 20,
+    "guidance": 5.0,
+    "FID": 28.148584365844727,
+    "CLIP": 31.24164905399084,
+    "LPIPS": 0.763123407959938,
+    "PickScore": 0.22326777141989784,
+    "HPSv2": 0.2885144402016201,
+    "HPSv2.1": 0.2860139875290984,
+    "Aesthetic": 5.404373902082443
+}

coco/pixart_alpha/run_008/checkpoint-10000/transformer/config.json

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+{
+  "_class_name": "PixArtTransformer2DModel",
+  "_diffusers_version": "0.38.0",
+  "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
+  "activation_fn": "gelu-approximate",
+  "attention_bias": true,
+  "attention_head_dim": 72,
+  "attention_type": "default",
+  "caption_channels": 4096,
+  "cross_attention_dim": 1152,
+  "double_self_attention": false,
+  "dropout": 0.0,
+  "in_channels": 4,
+  "interpolation_scale": 1,
+  "norm_elementwise_affine": false,
+  "norm_eps": 1e-06,
+  "norm_num_groups": 32,
+  "norm_type": "ada_norm_single",
+  "num_attention_heads": 16,
+  "num_embeds_ada_norm": 1000,
+  "num_layers": 28,
+  "num_vector_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 8,
+  "patch_size": 2,
+  "sample_size": 64,
+  "upcast_attention": false,
+  "use_additional_conditions": null,
+  "use_linear_projection": false
+}

coco/pixart_alpha/run_008/checkpoint-6000/transformer/config.json

@@ -0,0 +1,30 @@
+{
+  "_class_name": "PixArtTransformer2DModel",
+  "_diffusers_version": "0.38.0",
+  "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
+  "activation_fn": "gelu-approximate",
+  "attention_bias": true,
+  "attention_head_dim": 72,
+  "attention_type": "default",
+  "caption_channels": 4096,
+  "cross_attention_dim": 1152,
+  "double_self_attention": false,
+  "dropout": 0.0,
+  "in_channels": 4,
+  "interpolation_scale": 1,
+  "norm_elementwise_affine": false,
+  "norm_eps": 1e-06,
+  "norm_num_groups": 32,
+  "norm_type": "ada_norm_single",
+  "num_attention_heads": 16,
+  "num_embeds_ada_norm": 1000,
+  "num_layers": 28,
+  "num_vector_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 8,
+  "patch_size": 2,
+  "sample_size": 64,
+  "upcast_attention": false,
+  "use_additional_conditions": null,
+  "use_linear_projection": false
+}

coco/pixart_alpha/run_008/checkpoint-8000/transformer/config.json

@@ -0,0 +1,30 @@
+{
+  "_class_name": "PixArtTransformer2DModel",
+  "_diffusers_version": "0.38.0",
+  "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
+  "activation_fn": "gelu-approximate",
+  "attention_bias": true,
+  "attention_head_dim": 72,
+  "attention_type": "default",
+  "caption_channels": 4096,
+  "cross_attention_dim": 1152,
+  "double_self_attention": false,
+  "dropout": 0.0,
+  "in_channels": 4,
+  "interpolation_scale": 1,
+  "norm_elementwise_affine": false,
+  "norm_eps": 1e-06,
+  "norm_num_groups": 32,
+  "norm_type": "ada_norm_single",
+  "num_attention_heads": 16,
+  "num_embeds_ada_norm": 1000,
+  "num_layers": 28,
+  "num_vector_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 8,
+  "patch_size": 2,
+  "sample_size": 64,
+  "upcast_attention": false,
+  "use_additional_conditions": null,
+  "use_linear_projection": false
+}

coco/pixart_alpha/run_008/model_index.json

@@ -0,0 +1,24 @@
+{
+  "_class_name": "PixArtSigmaPipeline",
+  "_diffusers_version": "0.38.0",
+  "scheduler": [
+    "diffusers",
+    "DPMSolverMultistepScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "T5EncoderModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "T5Tokenizer"
+  ],
+  "transformer": [
+    "diffusers",
+    "PixArtTransformer2DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

coco/pixart_alpha/run_008/scheduler/scheduler_config.json

@@ -0,0 +1,32 @@
+{
+  "_class_name": "DPMSolverMultistepScheduler",
+  "_diffusers_version": "0.38.0",
+  "algorithm_type": "dpmsolver++",
+  "beta_end": 0.02,
+  "beta_schedule": "linear",
+  "beta_start": 0.0001,
+  "dynamic_thresholding_ratio": 0.995,
+  "euler_at_final": false,
+  "final_sigmas_type": "zero",
+  "flow_shift": 1.0,
+  "lambda_min_clipped": -Infinity,
+  "lower_order_final": true,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "rescale_betas_zero_snr": false,
+  "sample_max_value": 1.0,
+  "solver_order": 2,
+  "solver_type": "midpoint",
+  "steps_offset": 0,
+  "thresholding": false,
+  "time_shift_type": "exponential",
+  "timestep_spacing": "linspace",
+  "trained_betas": null,
+  "use_beta_sigmas": false,
+  "use_dynamic_shifting": false,
+  "use_exponential_sigmas": false,
+  "use_flow_sigmas": false,
+  "use_karras_sigmas": false,
+  "use_lu_lambdas": false,
+  "variance_type": null
+}

coco/pixart_alpha/run_008/text_encoder/config.json

@@ -0,0 +1,33 @@
+{
+  "architectures": [
+    "T5EncoderModel"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 10240,
+  "d_kv": 64,
+  "d_model": 4096,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "dtype": "bfloat16",
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_decoder": false,
+  "is_encoder_decoder": false,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 24,
+  "num_heads": 64,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "scale_decoder_outputs": false,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.1",
+  "use_cache": false,
+  "vocab_size": 32128
+}

coco/pixart_alpha/run_008/tokenizer/tokenizer_config.json

@@ -0,0 +1,116 @@
+{
+  "backend": "tokenizers",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "</s>",
+  "extra_ids": 100,
+  "extra_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
+    "<extra_id_5>",
+    "<extra_id_6>",
+    "<extra_id_7>",
+    "<extra_id_8>",
+    "<extra_id_9>",
+    "<extra_id_10>",
+    "<extra_id_11>",
+    "<extra_id_12>",
+    "<extra_id_13>",
+    "<extra_id_14>",
+    "<extra_id_15>",
+    "<extra_id_16>",
+    "<extra_id_17>",
+    "<extra_id_18>",
+    "<extra_id_19>",
+    "<extra_id_20>",
+    "<extra_id_21>",
+    "<extra_id_22>",
+    "<extra_id_23>",
+    "<extra_id_24>",
+    "<extra_id_25>",
+    "<extra_id_26>",
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+    "<extra_id_73>",
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+    "<extra_id_75>",
+    "<extra_id_76>",
+    "<extra_id_77>",
+    "<extra_id_78>",
+    "<extra_id_79>",
+    "<extra_id_80>",
+    "<extra_id_81>",
+    "<extra_id_82>",
+    "<extra_id_83>",
+    "<extra_id_84>",
+    "<extra_id_85>",
+    "<extra_id_86>",
+    "<extra_id_87>",
+    "<extra_id_88>",
+    "<extra_id_89>",
+    "<extra_id_90>",
+    "<extra_id_91>",
+    "<extra_id_92>",
+    "<extra_id_93>",
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+    "<extra_id_95>",
+    "<extra_id_96>",
+    "<extra_id_97>",
+    "<extra_id_98>",
+    "<extra_id_99>"
+  ],
+  "is_local": false,
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_id": 2,
+  "unk_token": "<unk>",
+  "use_fast": false
+}

coco/pixart_alpha/run_008/training.log

@@ -0,0 +1,302 @@
+Training started: 2026-08-19 07:47:40
+==========================================================================================================================================================================
+    Step | Epoch |       Loss |     Avg100 |      LossA |      LossB |        Adv |      Wt |  TAMmean | MaxDelta |           LR |    Elapsed |        ETA
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+[07:47:40] Run directory: RESULTS/coco/run_016
+[07:47:40] PixArt-Sigma AGD+TAM+SAD v3 | temp=0.5 curriculum=5000 max_delta=300
+[07:47:40] TAM: enabled=True  alpha=0.9  factor=0.5
+[07:47:40] SAD: enabled=True  temp=0.5
+[07:47:40] Loading PixArt-Sigma components ...
+[07:47:40]   Transformer  : PixArt-alpha/PixArt-Sigma-XL-2-512-MS
+[07:47:40]   Base (T5/VAE): PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
+[07:47:52]   Transformer params: 610,856,096 total, 610,856,096 trainable
+[07:47:52] Building dataset ...
+[07:47:52]   TAM initialised: 591435 samples tracked.
+[07:47:52] 
+[07:47:52] ================================================================
+[07:47:52]   Transformer        = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
+[07:47:52]   Base (T5/VAE)      = PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
+[07:47:52]   Output dir         = RESULTS/coco/run_016
+[07:47:52]   Num examples       = 591435
+[07:47:52]   Num epochs         = 1
+[07:47:52]   Batch/device       = 8
+[07:47:52]   Grad accum         = 1
+[07:47:52]   Effective BS       = 8
+[07:47:52]   Total optim steps  = 10000
+[07:47:52]   LR                 = 2e-05
+[07:47:52]   Precision          = bf16
+[07:47:52]   Resolution         = 512x512
+[07:47:52]   Max seq length     = 300  [Sigma: 300 vs Alpha: 120]
+[07:47:52]   --- AGD ---
+[07:47:52]   Temperature        = 0.5
+[07:47:52]   Curriculum steps   = 5000
+[07:47:52]   Max timestep delta = 300
+[07:47:52]   --- TAM ---  enabled=True
+[07:47:52]   TAM alpha          = 0.9
+[07:47:52]   TAM factor         = 0.5
+[07:47:52]   --- SAD ---  enabled=True
+[07:47:52]   SAD temperature    = 0.5
+[07:47:52] ================================================================
+[07:47:52] 
+      50 |     0 |   0.059861 |   0.059861 | 0.062301 | 0.066086 | 0.003785 | 1.0000 | 0.0000 |   3.00 | 2.00e-06 | 0:01:31 | 5:01:54
+     100 |     0 |   0.088554 |   0.074208 | 0.089803 | 0.085797 | -0.004006 | 1.0000 | -0.0000 |   6.00 | 4.00e-06 | 0:02:49 | 4:39:52
+     150 |     0 |   0.076787 |   0.075067 | 0.078555 | 0.076272 | -0.002284 | 1.0000 | -0.0000 |   9.00 | 6.00e-06 | 0:04:08 | 4:32:01
+     200 |     0 |   0.186657 |   0.102965 | 0.195996 | 0.186639 | -0.009357 | 1.0000 | -0.0000 |  12.00 | 8.00e-06 | 0:05:27 | 4:27:35
+     250 |     0 |   0.071964 |   0.096765 | 0.077339 | 0.070354 | -0.006985 | 1.0000 | -0.0000 |  15.00 | 1.00e-05 | 0:06:46 | 4:24:29
+     300 |     0 |   0.163385 |   0.107868 | 0.171096 | 0.161430 | -0.009666 | 1.0000 | -0.0000 |  18.00 | 1.20e-05 | 0:08:06 | 4:22:03
+     350 |     0 |   0.057424 |   0.100662 | 0.063393 | 0.056049 | -0.007344 | 1.0000 | -0.0000 |  21.00 | 1.40e-05 | 0:09:25 | 4:19:51
+     400 |     0 |   0.071019 |   0.096956 | 0.081025 | 0.071725 | -0.009300 | 1.0000 | -0.0000 |  24.00 | 1.60e-05 | 0:10:44 | 4:17:52
+     450 |     0 |   0.029198 |   0.089428 | 0.037282 | 0.030244 | -0.007038 | 1.0000 | -0.0000 |  27.00 | 1.80e-05 | 0:12:03 | 4:16:02
+     500 |     0 |   0.036220 |   0.084107 | 0.040883 | 0.035354 | -0.005529 | 1.0000 | -0.0000 |  30.00 | 2.00e-05 | 0:13:23 | 4:14:17
+[08:01:03]   [TAM @ 500] mean=-0.0000  std=0.0006  max=0.0081  visits=4000
+     550 |     0 |   0.132329 |   0.088491 | 0.273454 | 0.143315 | -0.130138 | 1.0000 | -0.0000 |  33.00 | 2.00e-05 | 0:14:42 | 4:12:43
+     600 |     0 |   0.069133 |   0.086878 | 0.084662 | 0.069012 | -0.015650 | 1.0000 | -0.0000 |  36.00 | 2.00e-05 | 0:16:02 | 4:11:12
+     650 |     0 |   0.047893 |   0.083879 | 0.053474 | 0.049378 | -0.004096 | 1.0000 | -0.0000 |  39.00 | 2.00e-05 | 0:17:21 | 4:09:40
+     700 |     0 |   0.024897 |   0.079666 | 0.038337 | 0.027490 | -0.010847 | 1.0000 | -0.0000 |  42.00 | 2.00e-05 | 0:18:40 | 4:08:08
+     750 |     0 |   0.044411 |   0.077316 | 0.032593 | 0.043099 | 0.010505 | 1.0000 | -0.0000 |  45.00 | 2.00e-05 | 0:19:59 | 4:06:37
+     800 |     0 |   0.066124 |   0.076616 | 0.083371 | 0.062515 | -0.020856 | 1.0000 | -0.0000 |  48.00 | 2.00e-05 | 0:21:19 | 4:05:08
+     850 |     0 |   0.059612 |   0.075616 | 0.049395 | 0.058277 | 0.008882 | 1.0000 | -0.0000 |  51.00 | 2.00e-05 | 0:22:38 | 4:03:40
+     900 |     0 |   0.049538 |   0.074167 | 0.072210 | 0.049691 | -0.022519 | 1.0000 | -0.0000 |  54.00 | 2.00e-05 | 0:23:57 | 4:02:13
+     950 |     0 |   0.079358 |   0.074440 | 0.105758 | 0.082666 | -0.023092 | 1.0000 | -0.0000 |  57.00 | 2.00e-05 | 0:25:16 | 4:00:47
+    1000 |     0 |   0.061226 |   0.073780 | 0.086882 | 0.060390 | -0.026492 | 1.0000 | -0.0000 |  60.00 | 2.00e-05 | 0:26:35 | 3:59:22
+[08:14:16]   [TAM @ 1000] mean=-0.0000  std=0.0010  max=0.0175  visits=8000
+[08:14:16] Generating 16 validation images ...
+[08:14:36] Validation step 1000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0001000.png
+    1050 |     0 |   0.068637 |   0.073535 | 0.087205 | 0.066823 | -0.020382 | 1.0000 | -0.0000 |  63.00 | 2.00e-05 | 0:28:14 | 4:00:45
+    1100 |     0 |   0.040884 |   0.072051 | 0.063791 | 0.041716 | -0.022075 | 1.0000 | -0.0000 |  66.00 | 2.00e-05 | 0:29:33 | 3:59:12
+    1150 |     0 |   0.060426 |   0.071545 | 0.097398 | 0.067960 | -0.029438 | 1.0000 | -0.0000 |  69.00 | 2.00e-05 | 0:30:53 | 3:57:40
+    1200 |     0 |   0.117497 |   0.073460 | 0.145579 | 0.116893 | -0.028686 | 1.0000 | -0.0000 |  72.00 | 2.00e-05 | 0:32:12 | 3:56:12
+    1250 |     0 |   0.076539 |   0.073583 | 0.103052 | 0.070432 | -0.032620 | 1.0000 | -0.0000 |  75.00 | 2.00e-05 | 0:33:32 | 3:54:44
+    1300 |     0 |   0.132399 |   0.075845 | 0.275865 | 0.145465 | -0.130401 | 1.0000 | -0.0000 |  78.00 | 2.00e-05 | 0:34:51 | 3:53:17
+    1350 |     0 |   0.084610 |   0.076170 | 0.236122 | 0.109511 | -0.126611 | 1.0000 | -0.0000 |  81.00 | 2.00e-05 | 0:36:10 | 3:51:48
+    1400 |     0 |   0.050246 |   0.075244 | 0.085581 | 0.051798 | -0.033783 | 1.0000 | -0.0000 |  84.00 | 2.00e-05 | 0:37:29 | 3:50:20
+    1450 |     0 |   0.008203 |   0.072932 | 0.021367 | 0.009640 | -0.011726 | 1.0000 | -0.0000 |  87.00 | 2.00e-05 | 0:38:49 | 3:48:53
+    1500 |     0 |   0.087920 |   0.073432 | 0.144871 | 0.089349 | -0.055522 | 1.0000 | -0.0000 |  90.00 | 2.00e-05 | 0:40:08 | 3:47:27
+[08:27:49]   [TAM @ 1500] mean=-0.0000  std=0.0013  max=0.0175  visits=12000
+    1550 |     0 |   0.040684 |   0.072375 | 0.078548 | 0.041117 | -0.037431 | 1.0000 | -0.0001 |  93.00 | 2.00e-05 | 0:41:27 | 3:46:02
+    1600 |     0 |   0.007032 |   0.070333 | 0.016468 | 0.006538 | -0.009930 | 1.0000 | -0.0001 |  96.00 | 2.00e-05 | 0:42:46 | 3:44:36
+    1650 |     0 |   0.072382 |   0.070395 | 0.120875 | 0.072141 | -0.048734 | 1.0000 | -0.0001 |  99.00 | 2.00e-05 | 0:44:06 | 3:43:10
+    1700 |     0 |   0.029743 |   0.069200 | 0.063838 | 0.033159 | -0.030679 | 1.0000 | -0.0001 | 102.00 | 2.00e-05 | 0:45:25 | 3:41:47
+    1750 |     0 |   0.135878 |   0.071105 | 0.197585 | 0.136030 | -0.061555 | 1.0000 | -0.0001 | 105.00 | 2.00e-05 | 0:46:44 | 3:40:22
+    1800 |     0 |   0.112681 |   0.072260 | 0.216381 | 0.127255 | -0.089126 | 1.0000 | -0.0001 | 108.00 | 2.00e-05 | 0:48:03 | 3:38:57
+    1850 |     0 |   0.075616 |   0.072350 | 0.122272 | 0.074310 | -0.047962 | 1.0000 | -0.0001 | 111.00 | 2.00e-05 | 0:49:23 | 3:37:33
+    1900 |     0 |   0.039937 |   0.071497 | 0.214426 | 0.069125 | -0.145301 | 1.0000 | -0.0001 | 114.00 | 2.00e-05 | 0:50:42 | 3:36:09
+    1950 |     0 |   0.099039 |   0.072204 | 0.123667 | 0.102935 | -0.020732 | 1.0000 | -0.0001 | 117.00 | 2.00e-05 | 0:52:01 | 3:34:45
+    2000 |     0 |   0.089198 |   0.072629 | 0.111852 | 0.084050 | -0.027802 | 1.0000 | -0.0001 | 120.00 | 2.00e-05 | 0:53:20 | 3:33:22
+[08:41:01]   [TAM @ 2000] mean=-0.0001  std=0.0016  max=0.0175  visits=16000
+[08:41:06]   Saved checkpoint -> RESULTS/coco/run_016/checkpoint-2000
+[08:41:06] Generating 16 validation images ...
+[08:41:25] Validation step 2000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0002000.png
+    2050 |     0 |   0.064525 |   0.072431 | 0.112492 | 0.065211 | -0.047281 | 1.0000 | -0.0001 | 123.00 | 2.00e-05 | 0:55:04 | 3:33:33
+    2100 |     0 |   0.070289 |   0.072380 | 0.245867 | 0.089901 | -0.155966 | 1.0000 | -0.0001 | 126.00 | 2.00e-05 | 0:56:23 | 3:32:07
+    2150 |     0 |   0.086631 |   0.072711 | 0.128305 | 0.083695 | -0.044611 | 1.0000 | -0.0001 | 129.00 | 2.00e-05 | 0:57:42 | 3:30:42
+    2200 |     0 |   0.038606 |   0.071936 | 0.101371 | 0.041086 | -0.060285 | 1.0000 | -0.0001 | 132.00 | 2.00e-05 | 0:59:01 | 3:29:16
+    2250 |     0 |   0.058134 |   0.071629 | 0.115067 | 0.058276 | -0.056791 | 1.0000 | -0.0001 | 135.00 | 2.00e-05 | 1:00:20 | 3:27:51
+    2300 |     0 |   0.080198 |   0.071816 | 0.265215 | 0.105037 | -0.160178 | 1.0000 | -0.0001 | 138.00 | 2.00e-05 | 1:01:40 | 3:26:27
+    2350 |     0 |   0.082290 |   0.072039 | 0.143525 | 0.084465 | -0.059060 | 1.0000 | -0.0001 | 141.00 | 2.00e-05 | 1:02:59 | 3:25:03
+    2400 |     0 |   0.018468 |   0.070923 | 0.048659 | 0.021892 | -0.026766 | 1.0000 | -0.0001 | 144.00 | 2.00e-05 | 1:04:18 | 3:23:38
+    2450 |     0 |   0.028058 |   0.070048 | 0.061978 | 0.028791 | -0.033187 | 1.0000 | -0.0001 | 147.00 | 2.00e-05 | 1:05:37 | 3:22:14
+    2500 |     0 |   0.006723 |   0.068781 | 0.029371 | 0.007948 | -0.021423 | 1.0000 | -0.0001 | 150.00 | 2.00e-05 | 1:06:56 | 3:20:50
+[08:54:37]   [TAM @ 2500] mean=-0.0001  std=0.0019  max=0.0175  visits=20000
+    2550 |     0 |   0.032150 |   0.068063 | 0.064745 | 0.032689 | -0.032056 | 1.0000 | -0.0001 | 153.00 | 2.00e-05 | 1:08:16 | 3:19:27
+    2600 |     0 |   0.057924 |   0.067868 | 0.138369 | 0.061773 | -0.076596 | 1.0000 | -0.0001 | 156.00 | 2.00e-05 | 1:09:35 | 3:18:04
+    2650 |     0 |   0.085262 |   0.068196 | 0.173668 | 0.085277 | -0.088392 | 1.0000 | -0.0001 | 159.00 | 2.00e-05 | 1:10:54 | 3:16:41
+    2700 |     0 |   0.009394 |   0.067107 | 0.038918 | 0.009850 | -0.029068 | 1.0000 | -0.0001 | 162.00 | 2.00e-05 | 1:12:14 | 3:15:17
+    2750 |     0 |   0.014699 |   0.066154 | 0.048374 | 0.017075 | -0.031299 | 1.0000 | -0.0001 | 165.00 | 2.00e-05 | 1:13:33 | 3:13:54
+    2800 |     0 |   0.012439 |   0.065195 | 0.050393 | 0.013939 | -0.036454 | 1.0000 | -0.0001 | 168.00 | 2.00e-05 | 1:14:52 | 3:12:31
+    2850 |     0 |   0.053838 |   0.064996 | 0.137750 | 0.054934 | -0.082815 | 1.0000 | -0.0001 | 171.00 | 2.00e-05 | 1:16:11 | 3:11:08
+    2900 |     0 |   0.033348 |   0.064450 | 0.114056 | 0.033641 | -0.080415 | 1.0000 | -0.0001 | 174.00 | 2.00e-05 | 1:17:30 | 3:09:46
+    2950 |     0 |   0.075683 |   0.064641 | 0.152472 | 0.078372 | -0.074100 | 1.0000 | -0.0002 | 177.00 | 2.00e-05 | 1:18:49 | 3:08:23
+    3000 |     0 |   0.024148 |   0.063966 | 0.093126 | 0.027159 | -0.065967 | 1.0000 | -0.0002 | 180.00 | 2.00e-05 | 1:20:09 | 3:07:01
+[09:07:49]   [TAM @ 3000] mean=-0.0002  std=0.0021  max=0.0175  visits=24000
+[09:07:50] Generating 16 validation images ...
+[09:08:09] Validation step 3000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0003000.png
+    3050 |     0 |   0.051782 |   0.063766 | 0.132996 | 0.055774 | -0.077222 | 1.0000 | -0.0002 | 183.00 | 2.00e-05 | 1:21:47 | 3:06:23
+    3100 |     0 |   0.016897 |   0.063010 | 0.071768 | 0.019632 | -0.052135 | 1.0000 | -0.0002 | 186.00 | 2.00e-05 | 1:23:07 | 3:05:00
+    3150 |     0 |   0.047753 |   0.062768 | 0.165252 | 0.048382 | -0.116870 | 1.0000 | -0.0002 | 189.00 | 2.00e-05 | 1:24:26 | 3:03:37
+    3200 |     0 |   0.012453 |   0.061982 | 0.059427 | 0.013727 | -0.045700 | 1.0000 | -0.0002 | 192.00 | 2.00e-05 | 1:25:45 | 3:02:14
+    3250 |     0 |   0.026909 |   0.061442 | 0.064065 | 0.029236 | -0.034829 | 1.0000 | -0.0002 | 195.00 | 2.00e-05 | 1:27:04 | 3:00:51
+    3300 |     0 |   0.028987 |   0.060950 | 0.118379 | 0.031352 | -0.087027 | 1.0000 | -0.0002 | 198.00 | 2.00e-05 | 1:28:24 | 2:59:28
+    3350 |     0 |   0.036970 |   0.060593 | 0.079465 | 0.037103 | -0.042362 | 1.0000 | -0.0002 | 201.00 | 2.00e-05 | 1:29:43 | 2:58:06
+    3400 |     0 |   0.055188 |   0.060513 | 0.153273 | 0.060611 | -0.092661 | 1.0000 | -0.0002 | 204.00 | 2.00e-05 | 1:31:02 | 2:56:43
+    3450 |     0 |   0.040275 |   0.060220 | 0.121700 | 0.044146 | -0.077554 | 1.0000 | -0.0002 | 207.00 | 2.00e-05 | 1:32:22 | 2:55:22
+    3500 |     0 |   0.072465 |   0.060395 | 0.227517 | 0.072571 | -0.154946 | 1.0000 | -0.0002 | 210.00 | 2.00e-05 | 1:33:42 | 2:54:00
+[09:21:22]   [TAM @ 3500] mean=-0.0002  std=0.0024  max=0.0175  visits=28000
+    3550 |     0 |   0.028740 |   0.059949 | 0.070293 | 0.030217 | -0.040076 | 1.0000 | -0.0002 | 213.00 | 2.00e-05 | 1:35:01 | 2:52:38
+    3600 |     0 |   0.060980 |   0.059963 | 0.158331 | 0.060057 | -0.098273 | 1.0000 | -0.0002 | 216.00 | 2.00e-05 | 1:36:20 | 2:51:16
+    3650 |     0 |   0.050177 |   0.059829 | 0.278075 | 0.068800 | -0.209275 | 1.0000 | -0.0002 | 219.00 | 2.00e-05 | 1:37:39 | 2:49:54
+    3700 |     0 |   0.023472 |   0.059338 | 0.097246 | 0.028555 | -0.068690 | 1.0000 | -0.0002 | 222.00 | 2.00e-05 | 1:38:58 | 2:48:32
+    3750 |     0 |   0.005641 |   0.058622 | 0.042350 | 0.006160 | -0.036190 | 1.0000 | -0.0002 | 225.00 | 2.00e-05 | 1:40:18 | 2:47:10
+    3800 |     0 |   0.041390 |   0.058395 | 0.123950 | 0.043547 | -0.080403 | 1.0000 | -0.0002 | 228.00 | 2.00e-05 | 1:41:37 | 2:45:48
+    3850 |     0 |   0.049823 |   0.058284 | 0.114797 | 0.053205 | -0.061592 | 1.0000 | -0.0002 | 231.00 | 2.00e-05 | 1:42:56 | 2:44:26
+    3900 |     0 |   0.001025 |   0.057550 | 0.013261 | 0.001050 | -0.012211 | 1.0000 | -0.0002 | 234.00 | 2.00e-05 | 1:44:15 | 2:43:04
+    3950 |     0 |   0.045925 |   0.057402 | 0.254142 | 0.065008 | -0.189134 | 1.0000 | -0.0003 | 237.00 | 2.00e-05 | 1:45:34 | 2:41:42
+    4000 |     0 |   0.021235 |   0.056950 | 0.113707 | 0.022386 | -0.091321 | 1.0000 | -0.0003 | 240.00 | 2.00e-05 | 1:46:54 | 2:40:21
+[09:34:35]   [TAM @ 4000] mean=-0.0003  std=0.0027  max=0.0175  visits=32000
+[09:34:40]   Saved checkpoint -> RESULTS/coco/run_016/checkpoint-4000
+[09:34:40] Generating 16 validation images ...
+[09:34:59] Validation step 4000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0004000.png
+    4050 |     0 |   0.012000 |   0.056395 | 0.072255 | 0.012622 | -0.059632 | 1.0000 | -0.0003 | 243.00 | 2.00e-05 | 1:48:37 | 2:39:35
+    4100 |     0 |   0.031182 |   0.056088 | 0.101077 | 0.033314 | -0.067763 | 1.0000 | -0.0003 | 246.00 | 2.00e-05 | 1:49:57 | 2:38:13
+    4150 |     0 |   0.023797 |   0.055699 | 0.102904 | 0.027491 | -0.075413 | 1.0000 | -0.0003 | 249.00 | 2.00e-05 | 1:51:16 | 2:36:51
+    4200 |     0 |   0.003610 |   0.055079 | 0.035286 | 0.003832 | -0.031455 | 1.0000 | -0.0003 | 252.00 | 2.00e-05 | 1:52:35 | 2:35:28
+    4250 |     0 |   0.011685 |   0.054568 | 0.099117 | 0.012431 | -0.086686 | 1.0000 | -0.0003 | 255.00 | 2.00e-05 | 1:53:54 | 2:34:06
+    4300 |     0 |   0.036310 |   0.054356 | 0.153022 | 0.037069 | -0.115953 | 1.0000 | -0.0003 | 258.00 | 2.00e-05 | 1:55:13 | 2:32:44
+    4350 |     0 |   0.024960 |   0.054018 | 0.134877 | 0.027929 | -0.106948 | 1.0000 | -0.0003 | 261.00 | 2.00e-05 | 1:56:32 | 2:31:22
+    4400 |     0 |   0.041232 |   0.053873 | 0.139811 | 0.042756 | -0.097055 | 1.0000 | -0.0003 | 264.00 | 2.00e-05 | 1:57:51 | 2:30:00
+    4450 |     0 |   0.013349 |   0.053418 | 0.100875 | 0.015020 | -0.085855 | 1.0000 | -0.0003 | 267.00 | 2.00e-05 | 1:59:10 | 2:28:38
+    4500 |     0 |   0.012176 |   0.052959 | 0.064805 | 0.014072 | -0.050733 | 1.0000 | -0.0003 | 270.00 | 2.00e-05 | 2:00:29 | 2:27:16
+[09:48:10]   [TAM @ 4500] mean=-0.0003  std=0.0030  max=0.0175  visits=36000
+    4550 |     0 |   0.013812 |   0.052529 | 0.235206 | 0.027101 | -0.208105 | 1.0000 | -0.0003 | 273.00 | 2.00e-05 | 2:01:48 | 2:25:53
+    4600 |     0 |   0.012336 |   0.052092 | 0.068157 | 0.013674 | -0.054483 | 1.0000 | -0.0003 | 276.00 | 2.00e-05 | 2:03:07 | 2:24:32
+    4650 |     0 |   0.016033 |   0.051704 | 0.223381 | 0.031868 | -0.191513 | 1.0000 | -0.0003 | 279.00 | 2.00e-05 | 2:04:26 | 2:23:10
+    4700 |     0 |   0.015388 |   0.051318 | 0.254945 | 0.028498 | -0.226447 | 1.0000 | -0.0003 | 282.00 | 2.00e-05 | 2:05:45 | 2:21:48
+    4750 |     0 |   0.010381 |   0.050887 | 0.093386 | 0.011602 | -0.081784 | 1.0000 | -0.0003 | 285.00 | 2.00e-05 | 2:07:04 | 2:20:26
+    4800 |     0 |   0.009014 |   0.050451 | 0.089287 | 0.010477 | -0.078810 | 1.0000 | -0.0004 | 288.00 | 2.00e-05 | 2:08:23 | 2:19:05
+    4850 |     0 |   0.019238 |   0.050129 | 0.080367 | 0.016858 | -0.063509 | 1.0000 | -0.0004 | 291.00 | 2.00e-05 | 2:09:42 | 2:17:43
+    4900 |     0 |   0.039578 |   0.050022 | 0.191681 | 0.042755 | -0.148926 | 1.0000 | -0.0004 | 294.00 | 2.00e-05 | 2:11:01 | 2:16:21
+    4950 |     0 |   0.015685 |   0.049675 | 0.115492 | 0.017716 | -0.097776 | 1.0000 | -0.0004 | 297.00 | 2.00e-05 | 2:12:19 | 2:15:00
+    5000 |     0 |   0.020394 |   0.049382 | 0.133486 | 0.023870 | -0.109615 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:13:38 | 2:13:38
+[10:01:19]   [TAM @ 5000] mean=-0.0004  std=0.0033  max=0.0175  visits=40000
+[10:01:20] Generating 16 validation images ...
+[10:01:39] Validation step 5000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0005000.png
+    5050 |     0 |   0.087056 |   0.049654 | 0.088607 | 0.085876 | -0.002731 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:15:17 | 2:12:36
+    5100 |     0 |   0.136698 |   0.050135 | 0.139442 | 0.137741 | -0.001701 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:16:36 | 2:11:14
+    5150 |     0 |   0.005429 |   0.049422 | 0.053229 | 0.005758 | -0.047471 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:17:55 | 2:09:53
+    5200 |     0 |   0.011376 |   0.047669 | 0.080379 | 0.012107 | -0.068272 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:19:13 | 2:08:31
+    5250 |     0 |   0.042327 |   0.047373 | 0.133984 | 0.044166 | -0.089818 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:20:32 | 2:07:09
+    5300 |     0 |   0.012689 |   0.045866 | 0.086994 | 0.014708 | -0.072286 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:21:51 | 2:05:47
+    5350 |     0 |   0.071261 |   0.046004 | 0.081179 | 0.069852 | -0.011327 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:23:10 | 2:04:26
+    5400 |     0 |   0.015988 |   0.045454 | 0.135787 | 0.017827 | -0.117960 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:24:28 | 2:03:04
+    5450 |     0 |   0.110994 |   0.046272 | 0.255445 | 0.112840 | -0.142606 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:25:47 | 2:01:43
+    5500 |     0 |   0.093133 |   0.046841 | 0.145452 | 0.097763 | -0.047689 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:27:06 | 2:00:21
+[10:14:47]   [TAM @ 5500] mean=-0.0004  std=0.0034  max=0.0175  visits=43999
+    5550 |     0 |   0.061107 |   0.046129 | 0.075945 | 0.059072 | -0.016874 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:28:25 | 1:59:00
+    5600 |     0 |   0.046473 |   0.045902 | 0.058691 | 0.048652 | -0.010040 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:29:44 | 1:57:39
+    5650 |     0 |   0.114001 |   0.046563 | 0.164884 | 0.119990 | -0.044894 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:31:02 | 1:56:17
+    5700 |     0 |   0.023989 |   0.046554 | 0.104552 | 0.027719 | -0.076833 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:32:21 | 1:54:56
+    5750 |     0 |   0.049169 |   0.046601 | 0.063304 | 0.050610 | -0.012694 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:33:40 | 1:53:35
+    5800 |     0 |   0.260237 |   0.048543 | 0.246543 | 0.249169 | 0.002626 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:34:59 | 1:52:13
+    5850 |     0 |   0.038794 |   0.048334 | 0.092433 | 0.038633 | -0.053800 | 1.0000 | -0.0004 | 300.00 | 2.00e-05 | 2:36:18 | 1:50:52
+    5900 |     0 |   0.076489 |   0.048604 | 0.103680 | 0.079104 | -0.024576 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:37:36 | 1:49:31
+    5950 |     0 |   0.004426 |   0.047855 | 0.031793 | 0.004377 | -0.027416 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:38:55 | 1:48:10
+    6000 |     0 |   0.049429 |   0.047737 | 0.131061 | 0.059456 | -0.071605 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:40:14 | 1:46:49
+[10:27:55]   [TAM @ 6000] mean=-0.0005  std=0.0036  max=0.0175  visits=47999
+[10:28:00]   Saved checkpoint -> RESULTS/coco/run_016/checkpoint-6000
+[10:28:00] Generating 16 validation images ...
+[10:28:19] Validation step 6000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0006000.png
+    6050 |     0 |   0.047714 |   0.047527 | 0.114317 | 0.045416 | -0.068901 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:41:57 | 1:45:44
+    6100 |     0 |   0.043997 |   0.047559 | 0.159707 | 0.047965 | -0.111742 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:43:16 | 1:44:23
+    6150 |     0 |   0.027959 |   0.047234 | 0.090490 | 0.029115 | -0.061375 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:44:35 | 1:43:02
+    6200 |     0 |   0.065117 |   0.046710 | 0.090866 | 0.068160 | -0.022706 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:45:54 | 1:41:40
+    6250 |     0 |   0.071726 |   0.046662 | 0.149317 | 0.069934 | -0.079384 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:47:13 | 1:40:19
+    6300 |     0 |   0.018408 |   0.045522 | 0.084322 | 0.019683 | -0.064638 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:48:32 | 1:38:58
+    6350 |     0 |   0.044934 |   0.045125 | 0.263562 | 0.068396 | -0.195166 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:49:50 | 1:37:37
+    6400 |     0 |   0.075834 |   0.045381 | 0.143791 | 0.080556 | -0.063235 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:51:09 | 1:36:16
+    6450 |     0 |   0.117056 |   0.046470 | 0.130234 | 0.117359 | -0.012875 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:52:28 | 1:34:55
+    6500 |     0 |   0.104303 |   0.046634 | 0.159485 | 0.107705 | -0.051780 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:53:47 | 1:33:35
+[10:41:28]   [TAM @ 6500] mean=-0.0005  std=0.0037  max=0.0175  visits=51999
+    6550 |     0 |   0.081004 |   0.047037 | 0.085936 | 0.082641 | -0.003295 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:55:07 | 1:32:14
+    6600 |     0 |   0.034126 |   0.047308 | 0.119253 | 0.037137 | -0.082116 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:56:25 | 1:30:53
+    6650 |     0 |   0.028821 |   0.046872 | 0.139892 | 0.031920 | -0.107972 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:57:44 | 1:29:32
+    6700 |     0 |   0.045066 |   0.047025 | 0.106355 | 0.047560 | -0.058795 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:59:03 | 1:28:11
+    6750 |     0 |   0.110327 |   0.046770 | 0.113370 | 0.104057 | -0.009313 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:00:23 | 1:26:51
+    6800 |     0 |   0.120746 |   0.046850 | 0.160007 | 0.118953 | -0.041054 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:01:42 | 1:25:30
+    6850 |     0 |   0.044698 |   0.046541 | 0.145380 | 0.048215 | -0.097165 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:03:01 | 1:24:09
+    6900 |     0 |   0.012195 |   0.046264 | 0.045386 | 0.014538 | -0.030849 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:04:20 | 1:22:49
+    6950 |     0 |   0.014313 |   0.045417 | 0.083149 | 0.016660 | -0.066489 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:05:39 | 1:21:28
+    7000 |     0 |   0.053024 |   0.045055 | 0.097354 | 0.054738 | -0.042616 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:06:59 | 1:20:08
+[10:54:39]   [TAM @ 7000] mean=-0.0005  std=0.0038  max=0.0175  visits=55999
+[10:54:40] Generating 16 validation images ...
+[10:54:59] Validation step 7000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0007000.png
+    7050 |     0 |   0.033310 |   0.044743 | 0.236951 | 0.054244 | -0.182708 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:08:37 | 1:18:55
+    7100 |     0 |   0.008275 |   0.044123 | 0.051057 | 0.010456 | -0.040601 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:09:56 | 1:17:35
+    7150 |     0 |   0.013518 |   0.043391 | 0.102281 | 0.015877 | -0.086403 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:11:16 | 1:16:14
+    7200 |     0 |   0.011888 |   0.043124 | 0.103275 | 0.013948 | -0.089327 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 3:12:35 | 1:14:53
+    7250 |     0 |   0.060562 |   0.043149 | 0.136632 | 0.061799 | -0.074833 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:13:54 | 1:13:32
+    7300 |     0 |   0.121728 |   0.043564 | 0.125164 | 0.117390 | -0.007774 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:15:13 | 1:12:12
+    7350 |     0 |   0.008311 |   0.042824 | 0.076915 | 0.009856 | -0.067059 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:16:32 | 1:10:51
+    7400 |     0 |   0.169728 |   0.044337 | 0.195857 | 0.168235 | -0.027622 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:17:51 | 1:09:31
+    7450 |     0 |   0.068078 |   0.044737 | 0.239850 | 0.083339 | -0.156511 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:19:10 | 1:08:10
+    7500 |     0 |   0.172444 |   0.046394 | 0.175667 | 0.168285 | -0.007382 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:20:29 | 1:06:49
+[11:08:10]   [TAM @ 7500] mean=-0.0006  std=0.0040  max=0.0175  visits=59999
+    7550 |     0 |   0.131259 |   0.047385 | 0.169209 | 0.129634 | -0.039575 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:21:48 | 1:05:29
+    7600 |     0 |   0.014154 |   0.046947 | 0.081003 | 0.016633 | -0.064369 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:23:08 | 1:04:08
+    7650 |     0 |   0.086089 |   0.046956 | 0.119342 | 0.087669 | -0.031673 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:24:27 | 1:02:48
+    7700 |     0 |   0.131140 |   0.048173 | 0.194855 | 0.127536 | -0.067319 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:25:46 | 1:01:27
+    7750 |     0 |   0.023940 |   0.048266 | 0.137238 | 0.026883 | -0.110354 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:27:05 | 1:00:07
+    7800 |     0 |   0.092688 |   0.049068 | 0.099720 | 0.088814 | -0.010905 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:28:24 | 0:58:46
+    7850 |     0 |   0.056787 |   0.049098 | 0.122565 | 0.061265 | -0.061300 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:29:43 | 0:57:26
+    7900 |     0 |   0.115538 |   0.049919 | 0.113392 | 0.109302 | -0.004090 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:31:02 | 0:56:06
+    7950 |     0 |   0.038717 |   0.049550 | 0.064691 | 0.039751 | -0.024939 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:32:22 | 0:54:45
+    8000 |     0 |   0.024976 |   0.049558 | 0.084320 | 0.027143 | -0.057176 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:33:41 | 0:53:25
+[11:21:22]   [TAM @ 8000] mean=-0.0006  std=0.0041  max=0.0175  visits=63999
+[11:21:26]   Saved checkpoint -> RESULTS/coco/run_016/checkpoint-8000
+[11:21:27] Generating 16 validation images ...
+[11:21:47] Validation step 8000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0008000.png
+    8050 |     0 |   0.049075 |   0.049531 | 0.292606 | 0.068000 | -0.224606 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:35:25 | 0:52:10
+    8100 |     0 |   0.029793 |   0.049660 | 0.096595 | 0.033306 | -0.063289 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:36:44 | 0:50:50
+    8150 |     0 |   0.176991 |   0.050952 | 0.259402 | 0.175779 | -0.083623 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:38:03 | 0:49:29
+    8200 |     0 |   0.048201 |   0.051310 | 0.054358 | 0.049509 | -0.004850 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:39:22 | 0:48:09
+    8250 |     0 |   0.025737 |   0.051298 | 0.060970 | 0.025676 | -0.035294 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:40:41 | 0:46:48
+    8300 |     0 |   0.085363 |   0.051862 | 0.228222 | 0.087260 | -0.140962 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:42:00 | 0:45:28
+    8350 |     0 |   0.033261 |   0.051825 | 0.099916 | 0.034567 | -0.065349 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:43:19 | 0:44:07
+    8400 |     0 |   0.022305 |   0.051496 | 0.129337 | 0.026053 | -0.103284 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:44:38 | 0:42:47
+    8450 |     0 |   0.037080 |   0.051464 | 0.078601 | 0.039609 | -0.038992 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:45:57 | 0:41:26
+    8500 |     0 |   0.073659 |   0.051476 | 0.080600 | 0.073959 | -0.006641 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:47:16 | 0:40:06
+[11:34:57]   [TAM @ 8500] mean=-0.0006  std=0.0042  max=0.0175  visits=67999
+    8550 |     0 |   0.020169 |   0.051390 | 0.162461 | 0.047126 | -0.115334 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:48:35 | 0:38:45
+    8600 |     0 |   0.078078 |   0.051561 | 0.105154 | 0.080202 | -0.024952 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:49:54 | 0:37:25
+    8650 |     0 |   0.014341 |   0.051203 | 0.054721 | 0.014685 | -0.040036 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:51:13 | 0:36:05
+    8700 |     0 |   0.020151 |   0.051170 | 0.023985 | 0.020364 | -0.003622 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:52:31 | 0:34:44
+    8750 |     0 |   0.025218 |   0.051365 | 0.116331 | 0.029462 | -0.086868 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:53:50 | 0:33:24
+    8800 |     0 |   0.052691 |   0.051478 | 0.200586 | 0.058123 | -0.142463 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:55:09 | 0:32:04
+    8850 |     0 |   0.105146 |   0.052032 | 0.118115 | 0.101669 | -0.016446 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:56:28 | 0:30:43
+    8900 |     0 |   0.124082 |   0.053262 | 0.148617 | 0.121347 | -0.027269 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:57:47 | 0:29:23
+    8950 |     0 |   0.065220 |   0.053455 | 0.088683 | 0.060603 | -0.028080 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:59:06 | 0:28:03
+    9000 |     0 |   0.046278 |   0.053706 | 0.078551 | 0.046633 | -0.031919 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:00:25 | 0:26:42
+[11:48:06]   [TAM @ 9000] mean=-0.0007  std=0.0043  max=0.0175  visits=71999
+[11:48:06] Generating 16 validation images ...
+[11:48:25] Validation step 9000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0009000.png
+    9050 |     0 |   0.024677 |   0.053832 | 0.173112 | 0.049462 | -0.123650 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:02:04 | 0:25:24
+    9100 |     0 |   0.093528 |   0.054456 | 0.198261 | 0.099719 | -0.098542 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:03:22 | 0:24:04
+    9150 |     0 |   0.007809 |   0.054296 | 0.034825 | 0.008710 | -0.026115 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:04:41 | 0:22:43
+    9200 |     0 |   0.008767 |   0.054348 | 0.084766 | 0.009971 | -0.074795 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:06:00 | 0:21:23
+    9250 |     0 |   0.027452 |   0.054505 | 0.058311 | 0.027260 | -0.031051 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:07:19 | 0:20:03
+    9300 |     0 |   0.094810 |   0.055090 | 0.147253 | 0.092573 | -0.054680 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:08:38 | 0:18:42
+    9350 |     0 |   0.113952 |   0.055980 | 0.145052 | 0.114742 | -0.030311 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:09:57 | 0:17:22
+    9400 |     0 |   0.037086 |   0.055939 | 0.144942 | 0.041819 | -0.103123 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:11:17 | 0:16:02
+    9450 |     0 |   0.015262 |   0.055958 | 0.123598 | 0.016588 | -0.107010 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:12:36 | 0:14:42
+    9500 |     0 |   0.046034 |   0.056296 | 0.096425 | 0.047373 | -0.049052 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:13:55 | 0:13:21
+[12:01:35]   [TAM @ 9500] mean=-0.0007  std=0.0044  max=0.0175  visits=75999
+    9550 |     0 |   0.003559 |   0.056194 | 0.050746 | 0.004394 | -0.046352 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:15:14 | 0:12:01
+    9600 |     0 |   0.020786 |   0.056278 | 0.037431 | 0.019410 | -0.018021 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:16:33 | 0:10:41
+    9650 |     0 |   0.019948 |   0.056317 | 0.113807 | 0.022133 | -0.091675 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:17:52 | 0:09:21
+    9700 |     0 |   0.046057 |   0.056624 | 0.159294 | 0.050976 | -0.108318 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:19:11 | 0:08:00
+    9750 |     0 |   0.130887 |   0.057829 | 0.148942 | 0.126400 | -0.022542 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:20:30 | 0:06:40
+    9800 |     0 |   0.012285 |   0.057862 | 0.192372 | 0.029595 | -0.162777 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:21:49 | 0:05:20
+    9850 |     0 |   0.109125 |   0.058761 | 0.105696 | 0.106266 | 0.000569 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 4:23:08 | 0:04:00
+    9900 |     0 |   0.054689 |   0.058912 | 0.066401 | 0.052906 | -0.013495 | 1.0000 | -0.0008 | 300.00 | 2.00e-05 | 4:24:27 | 0:02:40
+    9950 |     0 |   0.036404 |   0.059119 | 0.131908 | 0.038917 | -0.092991 | 1.0000 | -0.0008 | 300.00 | 2.00e-05 | 4:25:46 | 0:01:20
+   10000 |     0 |   0.055156 |   0.059467 | 0.140856 | 0.057424 | -0.083431 | 1.0000 | -0.0008 | 300.00 | 2.00e-05 | 4:27:05 | 0:00:00
+[12:14:46]   [TAM @ 10000] mean=-0.0008  std=0.0046  max=0.0175  visits=79999
+[12:14:51]   Saved checkpoint -> RESULTS/coco/run_016/checkpoint-10000
+[12:14:52] Generating 16 validation images ...
+[12:15:11] Validation step 10000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0010000.png
+[12:15:11] --- Epoch 0 | Steps: 10000 | Avg Loss: 0.056504 ---
+[12:15:11] Saving final model ...
+[12:15:24]   Pipeline saved -> RESULTS/coco/run_016
+[12:15:24] Generating final validation collage ...
+[12:15:24] Generating 16 validation images ...
+[12:15:43] Validation step 10000: 16 images -> RESULTS/coco/run_016/validation/collage_step_0010000.png
+[12:15:43] 
+[12:15:43] ============================================================
+[12:15:43]   TRAINING SUMMARY
+[12:15:43] ============================================================
+[12:15:43]   Total steps  : 200
+[12:15:43]   Final loss   : 0.055156
+[12:15:43]   Avg last 100 : 0.059467
+[12:15:43]   Min loss     : 0.001025
+[12:15:43]   Total time   : 4:28:02
+[12:15:43]   Output       : RESULTS/coco/run_016
+[12:15:43] ============================================================

coco/pixart_alpha/run_008/training_args.json

@@ -0,0 +1,49 @@
+{
+  "pretrained_model_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
+  "base_model_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
+  "revision": null,
+  "cache_dir": null,
+  "data_dir": "../data/coco",
+  "caption_file_train": "caption_train.json",
+  "caption_file_val": "caption_val.json",
+  "images_dir": "images",
+  "max_captions_per_image": 5,
+  "proportion_empty_prompts": 0.1,
+  "results_root": "RESULTS",
+  "seed": 42,
+  "resolution": 512,
+  "train_batch_size": 8,
+  "max_train_steps": 10000,
+  "num_train_epochs": 1,
+  "gradient_accumulation_steps": 1,
+  "gradient_checkpointing": true,
+  "learning_rate": 2e-05,
+  "scale_lr": false,
+  "lr_scheduler": "constant_with_warmup",
+  "lr_warmup_steps": 500,
+  "lr_num_cycles": 1,
+  "adam_beta1": 0.9,
+  "adam_beta2": 0.999,
+  "adam_weight_decay": 0.01,
+  "adam_epsilon": 1e-08,
+  "max_grad_norm": 0.01,
+  "mixed_precision": "bf16",
+  "checkpointing_steps": 2000,
+  "checkpoints_total_limit": 3,
+  "resume_from_checkpoint": null,
+  "validation_steps": 1000,
+  "validation_prompts_file": null,
+  "log_every_n_steps": 50,
+  "max_sequence_length": 300,
+  "dataloader_num_workers": 4,
+  "advantage_temperature": 0.5,
+  "curriculum_steps": 5000,
+  "max_timestep_delta": 300,
+  "use_tam": true,
+  "tam_alpha": 0.9,
+  "tam_factor": 0.5,
+  "tam_log_steps": 500,
+  "use_sad": true,
+  "sad_temperature": 0.5,
+  "output_dir": "RESULTS/coco/run_016"
+}

coco/pixart_alpha/run_008/training_summary.json

@@ -0,0 +1,7 @@
+{
+  "total_steps": 200,
+  "final_loss": 0.05515556037425995,
+  "avg_last_100": 0.05946670070523396,
+  "min_loss": 0.0010246939491480589,
+  "total_time": "4:28:02"
+}

coco/pixart_alpha/run_008/transformer/config.json

@@ -0,0 +1,30 @@
+{
+  "_class_name": "PixArtTransformer2DModel",
+  "_diffusers_version": "0.38.0",
+  "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
+  "activation_fn": "gelu-approximate",
+  "attention_bias": true,
+  "attention_head_dim": 72,
+  "attention_type": "default",
+  "caption_channels": 4096,
+  "cross_attention_dim": 1152,
+  "double_self_attention": false,
+  "dropout": 0.0,
+  "in_channels": 4,
+  "interpolation_scale": 1,
+  "norm_elementwise_affine": false,
+  "norm_eps": 1e-06,
+  "norm_num_groups": 32,
+  "norm_type": "ada_norm_single",
+  "num_attention_heads": 16,
+  "num_embeds_ada_norm": 1000,
+  "num_layers": 28,
+  "num_vector_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 8,
+  "patch_size": 2,
+  "sample_size": 64,
+  "upcast_attention": false,
+  "use_additional_conditions": null,
+  "use_linear_projection": false
+}

coco/pixart_alpha/run_008/vae/config.json

@@ -0,0 +1,38 @@
+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.38.0",
+  "_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "force_upcast": false,
+  "in_channels": 3,
+  "latent_channels": 4,
+  "latents_mean": null,
+  "latents_std": null,
+  "layers_per_block": 2,
+  "mid_block_add_attention": true,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 512,
+  "scaling_factor": 0.13025,
+  "shift_factor": null,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ],
+  "use_post_quant_conv": true,
+  "use_quant_conv": true
+}