Datasets:

surjo0
/

RAD-Checkpoints

+{
+  "_class_name": "PixArtTransformer2DModel",
+  "_diffusers_version": "0.37.1",
+  "_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_sigma/SRA/scheduler/scheduler_config.json ADDED Viewed

	@@ -0,0 +1,32 @@

+{
+  "_class_name": "DPMSolverMultistepScheduler",
+  "_diffusers_version": "0.37.1",
+  "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_sigma/SRA/text_encoder/config.json ADDED Viewed

	@@ -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": "5.9.0",
+  "use_cache": false,
+  "vocab_size": 32128
+}

coco/pixart_sigma/SRA/transformer/config.json ADDED Viewed

	@@ -0,0 +1,30 @@

+{
+  "_class_name": "PixArtTransformer2DModel",
+  "_diffusers_version": "0.37.1",
+  "_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_sigma/SRA/vae/config.json ADDED Viewed

	@@ -0,0 +1,38 @@

+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.37.1",
+  "_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
+}

coco/pixart_sigma/TD/model_index.json ADDED Viewed

	@@ -0,0 +1,24 @@

+{
+  "_class_name": "PixArtSigmaPipeline",
+  "_diffusers_version": "0.37.1",
+  "scheduler": [
+    "diffusers",
+    "DPMSolverMultistepScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "T5EncoderModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "T5Tokenizer"
+  ],
+  "transformer": [
+    "diffusers",
+    "PixArtTransformer2DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

coco/pixart_sigma/TD/tokenizer/tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

coco/pixart_sigma/TD/tokenizer/tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,117 @@

+{
+  "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>",
+    "<extra_id_27>",
+    "<extra_id_28>",
+    "<extra_id_29>",
+    "<extra_id_30>",
+    "<extra_id_31>",
+    "<extra_id_32>",
+    "<extra_id_33>",
+    "<extra_id_34>",
+    "<extra_id_35>",
+    "<extra_id_36>",
+    "<extra_id_37>",
+    "<extra_id_38>",
+    "<extra_id_39>",
+    "<extra_id_40>",
+    "<extra_id_41>",
+    "<extra_id_42>",
+    "<extra_id_43>",
+    "<extra_id_44>",
+    "<extra_id_45>",
+    "<extra_id_46>",
+    "<extra_id_47>",
+    "<extra_id_48>",
+    "<extra_id_49>",
+    "<extra_id_50>",
+    "<extra_id_51>",
+    "<extra_id_52>",
+    "<extra_id_53>",
+    "<extra_id_54>",
+    "<extra_id_55>",
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+    "<extra_id_60>",
+    "<extra_id_61>",
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+    "<extra_id_64>",
+    "<extra_id_65>",
+    "<extra_id_66>",
+    "<extra_id_67>",
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+    "<extra_id_69>",
+    "<extra_id_70>",
+    "<extra_id_71>",
+    "<extra_id_72>",
+    "<extra_id_73>",
+    "<extra_id_74>",
+    "<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>",
+    "<extra_id_94>",
+    "<extra_id_95>",
+    "<extra_id_96>",
+    "<extra_id_97>",
+    "<extra_id_98>",
+    "<extra_id_99>"
+  ],
+  "is_local": false,
+  "local_files_only": 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_sigma/TD/training.log ADDED Viewed

	@@ -0,0 +1,468 @@

+Training started: 2026-08-20 18:09:03
+==========================================================================================
+    Step | Epoch |       Loss |     Avg100 |           LR |    Elapsed |        ETA
+------------------------------------------------------------------------------------------
+[18:09:03] Run directory: RESULTS/coco/run_017
+[18:09:03] Loading PixArt-Sigma components ...
+[18:09:19]   Transformer params: 610,856,096 total, 610,856,096 trainable
+[18:09:19]   TD ENABLED: cloning frozen EMA target transformer (ema_tau=0.999, update_freq=1 steps, k_idx=1.0, one_idx=0.3333333333333333, lambda=1.0, weighted=False, sigma_range=[0.002,80.0], rho=7.0, steps=18, sigma_data=0.5)
+[18:09:19] Building dataset ...
+[18:09:20]
+[18:09:20] ================================================================
+[18:09:20]   Model              = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
+[18:09:20]   Output dir         = RESULTS/coco/run_017
+[18:09:20]   Num examples       = 591435
+[18:09:20]   Num epochs         = 1
+[18:09:20]   Batch/device       = 8
+[18:09:20]   Grad accum         = 1
+[18:09:20]   Effective BS       = 8
+[18:09:20]   Total optim steps  = 10000
+[18:09:20]   LR                 = 2e-05
+[18:09:20]   Precision          = bf16
+[18:09:20]   Resolution         = 512x512
+[18:09:20]   Max seq length     = 300
+[18:09:20]   TD                 = True
+[18:09:20] ================================================================
+[18:09:20]
+      50 |     0 |   0.099459 |   0.099459 |     2.00e-06 |    0:01:35 |    5:17:29
+[18:10:38]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001319
+     100 |     0 |   0.128929 |   0.114194 |     4.00e-06 |    0:02:53 |    4:46:29
+[18:11:56]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001027
+     150 |     0 |   0.061431 |   0.096606 |     6.00e-06 |    0:04:11 |    4:35:39
+[18:13:14]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000776
+     200 |     0 |   0.101599 |   0.097854 |     8.00e-06 |    0:05:30 |    4:29:35
+[18:14:33]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001054
+     250 |     0 |   0.121658 |   0.102615 |     1.00e-05 |    0:06:48 |    4:25:28
+[18:15:51]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000621
+     300 |     0 |   0.074592 |   0.097945 |     1.20e-05 |    0:08:06 |    4:22:25
+[18:17:10]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000605
+     350 |     0 |   0.120691 |   0.101194 |     1.40e-05 |    0:09:25 |    4:19:43
+[18:18:28]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000989
+     400 |     0 |   0.122850 |   0.103901 |     1.60e-05 |    0:10:43 |    4:17:24
+[18:19:46]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.001344
+     450 |     0 |   0.066465 |   0.099741 |     1.80e-05 |    0:12:01 |    4:15:17
+[18:21:04]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000528
+     500 |     0 |   0.124824 |   0.102250 |     2.00e-05 |    0:13:19 |    4:13:19
+[18:22:23]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001127
+     550 |     0 |   0.432916 |   0.132310 |     2.00e-05 |    0:14:38 |    4:11:31
+[18:23:41]     TD diagnostics: frac_valid=0.625, td_loss_mean=0.000889
+     600 |     0 |   0.193201 |   0.137384 |     2.00e-05 |    0:15:56 |    4:09:50
+[18:24:59]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000626
+     650 |     0 |   0.108949 |   0.135197 |     2.00e-05 |    0:17:15 |    4:08:11
+[18:26:18]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000991
+     700 |     0 |   0.199239 |   0.139772 |     2.00e-05 |    0:18:33 |    4:06:36
+[18:27:36]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001132
+     750 |     0 |   0.027850 |   0.132310 |     2.00e-05 |    0:19:52 |    4:05:03
+[18:28:55]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000798
+     800 |     0 |   0.043828 |   0.126780 |     2.00e-05 |    0:21:10 |    4:03:31
+[18:30:13]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000949
+     850 |     0 |   0.186678 |   0.130303 |     1.99e-05 |    0:22:28 |    4:02:01
+[18:31:32]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000802
+     900 |     0 |   0.231378 |   0.135919 |     1.99e-05 |    0:23:47 |    4:00:32
+[18:32:50]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000817
+     950 |     0 |   0.105020 |   0.134292 |     1.99e-05 |    0:25:05 |    3:59:04
+[18:34:08]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001144
+    1000 |     0 |   0.180385 |   0.136597 |     1.99e-05 |    0:26:24 |    3:57:39
+[18:35:27]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000766
+[18:35:27] Generating 16 validation images ...
+[18:35:48] Validation step 1000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0001000.png
+    1050 |     0 |   0.113382 |   0.135492 |     1.98e-05 |    0:28:03 |    3:59:09
+[18:37:06]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000961
+    1100 |     0 |   0.155227 |   0.136389 |     1.98e-05 |    0:29:21 |    3:57:34
+[18:38:24]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001543
+    1150 |     0 |   0.247989 |   0.141241 |     1.98e-05 |    0:30:40 |    3:56:01
+[18:39:43]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001276
+    1200 |     0 |   0.129924 |   0.140769 |     1.97e-05 |    0:31:58 |    3:54:29
+[18:41:01]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001450
+    1250 |     0 |   0.053444 |   0.137276 |     1.97e-05 |    0:33:16 |    3:52:57
+[18:42:19]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001150
+    1300 |     0 |   0.178303 |   0.138854 |     1.97e-05 |    0:34:35 |    3:51:28
+[18:43:38]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000746
+    1350 |     0 |   0.064367 |   0.136095 |     1.96e-05 |    0:35:53 |    3:50:00
+[18:44:56]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000892
+    1400 |     0 |   0.047876 |   0.132945 |     1.96e-05 |    0:37:12 |    3:48:32
+[18:46:15]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000838
+    1450 |     0 |   0.050791 |   0.130112 |     1.95e-05 |    0:38:30 |    3:47:04
+[18:47:33]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000902
+    1500 |     0 |   0.070983 |   0.128141 |     1.95e-05 |    0:39:48 |    3:45:37
+[18:48:52]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000942
+    1550 |     0 |   0.126034 |   0.128073 |     1.94e-05 |    0:41:07 |    3:44:10
+[18:50:10]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000563
+    1600 |     0 |   0.086790 |   0.126783 |     1.93e-05 |    0:42:25 |    3:42:43
+[18:51:28]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000851
+    1650 |     0 |   0.047769 |   0.124388 |     1.93e-05 |    0:43:43 |    3:41:18
+[18:52:46]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000773
+    1700 |     0 |   0.180896 |   0.126050 |     1.92e-05 |    0:45:02 |    3:39:53
+[18:54:05]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001070
+    1750 |     0 |   0.063477 |   0.124263 |     1.92e-05 |    0:46:20 |    3:38:28
+[18:55:23]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.000910
+    1800 |     0 |   0.102127 |   0.123648 |     1.91e-05 |    0:47:39 |    3:37:04
+[18:56:42]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000923
+    1850 |     0 |   0.109242 |   0.123258 |     1.90e-05 |    0:48:57 |    3:35:40
+[18:58:00]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000934
+    1900 |     0 |   0.143271 |   0.123785 |     1.89e-05 |    0:50:15 |    3:34:17
+[18:59:19]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001170
+    1950 |     0 |   0.084774 |   0.122785 |     1.89e-05 |    0:51:34 |    3:32:53
+[19:00:37]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000578
+    2000 |     0 |   0.347330 |   0.128398 |     1.88e-05 |    0:52:52 |    3:31:29
+[19:01:55]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.001104
+[19:02:00]   Saved checkpoint -> RESULTS/coco/run_017/checkpoint-2000
+[19:02:00] Generating 16 validation images ...
+[19:02:20] Validation step 2000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0002000.png
+    2050 |     0 |   0.339666 |   0.133551 |     1.87e-05 |    0:54:36 |    3:31:44
+[19:03:39]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000881
+    2100 |     0 |   0.086473 |   0.132430 |     1.86e-05 |    0:55:54 |    3:30:19
+[19:04:57]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001025
+    2150 |     0 |   0.111353 |   0.131940 |     1.85e-05 |    0:57:12 |    3:28:54
+[19:06:16]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001039
+    2200 |     0 |   0.111589 |   0.131478 |     1.85e-05 |    0:58:31 |    3:27:29
+[19:07:34]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.001013
+    2250 |     0 |   0.048341 |   0.129630 |     1.84e-05 |    0:59:49 |    3:26:04
+[19:08:52]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000717
+    2300 |     0 |   0.070667 |   0.128348 |     1.83e-05 |    1:01:08 |    3:24:40
+[19:10:11]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001235
+    2350 |     0 |   0.221401 |   0.130328 |     1.82e-05 |    1:02:26 |    3:23:16
+[19:11:29]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000773
+    2400 |     0 |   0.096706 |   0.129628 |     1.81e-05 |    1:03:44 |    3:21:52
+[19:12:48]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001024
+    2450 |     0 |   0.144072 |   0.129923 |     1.80e-05 |    1:05:03 |    3:20:28
+[19:14:06]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000798
+    2500 |     0 |   0.068778 |   0.128700 |     1.79e-05 |    1:06:21 |    3:19:04
+[19:15:24]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001105
+    2550 |     0 |   0.119749 |   0.128524 |     1.78e-05 |    1:07:40 |    3:17:41
+[19:16:43]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000906
+    2600 |     0 |   0.133096 |   0.128612 |     1.77e-05 |    1:08:58 |    3:16:19
+[19:18:01]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001328
+    2650 |     0 |   0.055486 |   0.127232 |     1.76e-05 |    1:10:17 |    3:14:56
+[19:19:20]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000729
+    2700 |     0 |   0.093450 |   0.126607 |     1.75e-05 |    1:11:35 |    3:13:33
+[19:20:38]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001235
+    2750 |     0 |   0.049960 |   0.125213 |     1.74e-05 |    1:12:53 |    3:12:10
+[19:21:56]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000451
+    2800 |     0 |   0.108930 |   0.124922 |     1.72e-05 |    1:14:12 |    3:10:48
+[19:23:15]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000454
+    2850 |     0 |   0.106921 |   0.124607 |     1.71e-05 |    1:15:30 |    3:09:26
+[19:24:33]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001069
+    2900 |     0 |   0.095928 |   0.124112 |     1.70e-05 |    1:16:49 |    3:08:04
+[19:25:52]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000974
+    2950 |     0 |   0.225289 |   0.125827 |     1.69e-05 |    1:18:07 |    3:06:42
+[19:27:10]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001434
+    3000 |     0 |   0.148202 |   0.126200 |     1.68e-05 |    1:19:25 |    3:05:20
+[19:28:28]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000809
+[19:28:29] Generating 16 validation images ...
+[19:28:49] Validation step 3000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0003000.png
+    3050 |     0 |   0.074273 |   0.125349 |     1.67e-05 |    1:21:04 |    3:04:45
+[19:30:08]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.000758
+    3100 |     0 |   0.116337 |   0.125203 |     1.65e-05 |    1:22:23 |    3:03:22
+[19:31:26]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000931
+    3150 |     0 |   0.076925 |   0.124437 |     1.64e-05 |    1:23:41 |    3:01:59
+[19:32:44]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000798
+    3200 |     0 |   0.084408 |   0.123812 |     1.63e-05 |    1:24:59 |    3:00:36
+[19:34:02]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000956
+    3250 |     0 |   0.101569 |   0.123469 |     1.61e-05 |    1:26:17 |    2:59:14
+[19:35:20]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001333
+    3300 |     0 |   0.115000 |   0.123341 |     1.60e-05 |    1:27:36 |    2:57:52
+[19:36:39]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000594
+    3350 |     0 |   0.183830 |   0.124244 |     1.59e-05 |    1:28:54 |    2:56:29
+[19:37:57]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000680
+    3400 |     0 |   0.125964 |   0.124269 |     1.57e-05 |    1:30:13 |    2:55:07
+[19:39:16]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000744
+    3450 |     0 |   0.143025 |   0.124541 |     1.56e-05 |    1:31:31 |    2:53:45
+[19:40:34]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001079
+    3500 |     0 |   0.052051 |   0.123505 |     1.55e-05 |    1:32:49 |    2:52:23
+[19:41:52]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001057
+    3550 |     0 |   0.097108 |   0.123134 |     1.53e-05 |    1:34:08 |    2:51:02
+[19:43:11]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000562
+    3600 |     0 |   0.153606 |   0.123557 |     1.52e-05 |    1:35:26 |    2:49:40
+[19:44:29]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001016
+    3650 |     0 |   0.164208 |   0.124114 |     1.50e-05 |    1:36:44 |    2:48:19
+[19:45:48]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000779
+    3700 |     0 |   0.043402 |   0.123023 |     1.49e-05 |    1:38:03 |    2:46:57
+[19:47:06]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000768
+    3750 |     0 |   0.096878 |   0.122674 |     1.48e-05 |    1:39:21 |    2:45:36
+[19:48:24]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001293
+    3800 |     0 |   0.129060 |   0.122758 |     1.46e-05 |    1:40:40 |    2:44:14
+[19:49:43]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001349
+    3850 |     0 |   0.041768 |   0.121707 |     1.45e-05 |    1:41:58 |    2:42:53
+[19:51:01]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000622
+    3900 |     0 |   0.082563 |   0.121205 |     1.43e-05 |    1:43:16 |    2:41:32
+[19:52:19]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000757
+    3950 |     0 |   0.093643 |   0.120856 |     1.42e-05 |    1:44:35 |    2:40:11
+[19:53:38]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000812
+    4000 |     0 |   0.147810 |   0.121193 |     1.40e-05 |    1:45:53 |    2:38:50
+[19:54:56]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.001169
+[19:55:01]   Saved checkpoint -> RESULTS/coco/run_017/checkpoint-4000
+[19:55:01] Generating 16 validation images ...
+[19:55:21] Validation step 4000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0004000.png
+    4050 |     0 |   0.092899 |   0.120843 |     1.39e-05 |    1:47:36 |    2:38:05
+[19:56:39]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000901
+    4100 |     0 |   0.132651 |   0.120987 |     1.37e-05 |    1:48:54 |    2:36:43
+[19:57:58]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001130
+    4150 |     0 |   0.126646 |   0.121056 |     1.36e-05 |    1:50:13 |    2:35:22
+[19:59:16]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000820
+    4200 |     0 |   0.118680 |   0.121027 |     1.34e-05 |    1:51:31 |    2:34:01
+[20:00:34]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000781
+    4250 |     0 |   0.069865 |   0.120425 |     1.32e-05 |    1:52:50 |    2:32:39
+[20:01:53]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000718
+    4300 |     0 |   0.156420 |   0.120844 |     1.31e-05 |    1:54:08 |    2:31:18
+[20:03:11]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000964
+    4350 |     0 |   0.011250 |   0.119584 |     1.29e-05 |    1:55:26 |    2:29:57
+[20:04:30]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000855
+    4400 |     0 |   0.153338 |   0.119968 |     1.28e-05 |    1:56:45 |    2:28:35
+[20:05:48]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000798
+    4450 |     0 |   0.087830 |   0.119607 |     1.26e-05 |    1:58:03 |    2:27:14
+[20:07:06]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000948
+    4500 |     0 |   0.265005 |   0.121222 |     1.25e-05 |    1:59:21 |    2:25:53
+[20:08:24]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001103
+    4550 |     0 |   0.216853 |   0.122273 |     1.23e-05 |    2:00:40 |    2:24:32
+[20:09:43]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.000860
+    4600 |     0 |   0.119256 |   0.122240 |     1.21e-05 |    2:01:58 |    2:23:11
+[20:11:01]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000426
+    4650 |     0 |   0.122362 |   0.122242 |     1.20e-05 |    2:03:16 |    2:21:50
+[20:12:19]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001062
+    4700 |     0 |   0.150103 |   0.122538 |     1.18e-05 |    2:04:35 |    2:20:29
+[20:13:38]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001060
+    4750 |     0 |   0.073563 |   0.122023 |     1.16e-05 |    2:05:53 |    2:19:08
+[20:14:56]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.000892
+    4800 |     0 |   0.223450 |   0.123079 |     1.15e-05 |    2:07:11 |    2:17:47
+[20:16:14]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000776
+    4850 |     0 |   0.136569 |   0.123218 |     1.13e-05 |    2:08:30 |    2:16:27
+[20:17:33]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000874
+    4900 |     0 |   0.089349 |   0.122873 |     1.12e-05 |    2:09:48 |    2:15:06
+[20:18:51]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000809
+    4950 |     0 |   0.198857 |   0.123640 |     1.10e-05 |    2:11:06 |    2:13:45
+[20:20:09]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000928
+    5000 |     0 |   0.029464 |   0.122698 |     1.08e-05 |    2:12:25 |    2:12:25
+[20:21:28]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001373
+[20:21:28] Generating 16 validation images ...
+[20:21:48] Validation step 5000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0005000.png
+    5050 |     0 |   0.100495 |   0.122709 |     1.07e-05 |    2:14:04 |    2:11:24
+[20:23:07]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001270
+    5100 |     0 |   0.274839 |   0.124168 |     1.05e-05 |    2:15:22 |    2:10:03
+[20:24:25]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001100
+    5150 |     0 |   0.102645 |   0.124580 |     1.03e-05 |    2:16:40 |    2:08:42
+[20:25:43]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000849
+    5200 |     0 |   0.090841 |   0.124472 |     1.02e-05 |    2:17:58 |    2:07:22
+[20:27:02]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000825
+    5250 |     0 |   0.018446 |   0.123440 |     1.00e-05 |    2:19:17 |    2:06:01
+[20:28:20]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000874
+    5300 |     0 |   0.068538 |   0.123380 |     9.83e-06 |    2:20:35 |    2:04:40
+[20:29:38]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000810
+    5350 |     0 |   0.059014 |   0.122763 |     9.67e-06 |    2:21:53 |    2:03:19
+[20:30:56]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000719
+    5400 |     0 |   0.223488 |   0.123769 |     9.50e-06 |    2:23:12 |    2:01:59
+[20:32:15]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000917
+    5450 |     0 |   0.059325 |   0.123698 |     9.34e-06 |    2:24:30 |    2:00:38
+[20:33:33]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000562
+    5500 |     0 |   0.110564 |   0.123555 |     9.17e-06 |    2:25:48 |    1:59:18
+[20:34:51]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000838
+    5550 |     0 |   0.051542 |   0.119742 |     9.01e-06 |    2:27:07 |    1:57:57
+[20:36:10]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.000978
+    5600 |     0 |   0.096411 |   0.118774 |     8.85e-06 |    2:28:25 |    1:56:37
+[20:37:28]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.000794
+    5650 |     0 |   0.132166 |   0.119006 |     8.68e-06 |    2:29:43 |    1:55:16
+[20:38:46]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000985
+    5700 |     0 |   0.101585 |   0.118029 |     8.52e-06 |    2:31:02 |    1:53:56
+[20:40:05]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000749
+    5750 |     0 |   0.100384 |   0.118755 |     8.35e-06 |    2:32:20 |    1:52:36
+[20:41:23]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000916
+    5800 |     0 |   0.133076 |   0.119647 |     8.19e-06 |    2:33:39 |    1:51:15
+[20:42:42]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001307
+    5850 |     0 |   0.070564 |   0.118486 |     8.03e-06 |    2:34:57 |    1:49:55
+[20:44:00]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000867
+    5900 |     0 |   0.070270 |   0.116875 |     7.87e-06 |    2:36:15 |    1:48:35
+[20:45:18]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001004
+    5950 |     0 |   0.120388 |   0.117029 |     7.71e-06 |    2:37:34 |    1:47:15
+[20:46:37]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001203
+    6000 |     0 |   0.147024 |   0.116695 |     7.55e-06 |    2:38:52 |    1:45:55
+[20:47:55]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001253
+[20:48:00]   Saved checkpoint -> RESULTS/coco/run_017/checkpoint-6000
+[20:48:01] Generating 16 validation images ...
+[20:48:21] Validation step 6000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0006000.png
+    6050 |     0 |   0.264381 |   0.118205 |     7.39e-06 |    2:40:36 |    1:44:51
+[20:49:39]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000321
+    6100 |     0 |   0.111007 |   0.117763 |     7.23e-06 |    2:41:54 |    1:43:31
+[20:50:58]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001550
+    6150 |     0 |   0.118639 |   0.116469 |     7.07e-06 |    2:43:13 |    1:42:10
+[20:52:16]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001063
+    6200 |     0 |   0.082432 |   0.115994 |     6.91e-06 |    2:44:31 |    1:40:50
+[20:53:34]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.001013
+    6250 |     0 |   0.114521 |   0.116605 |     6.75e-06 |    2:45:49 |    1:39:29
+[20:54:53]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000458
+    6300 |     0 |   0.091204 |   0.115734 |     6.60e-06 |    2:47:08 |    1:38:09
+[20:56:11]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001453
+    6350 |     0 |   0.038671 |   0.115477 |     6.44e-06 |    2:48:26 |    1:36:49
+[20:57:29]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.000766
+    6400 |     0 |   0.200111 |   0.117000 |     6.29e-06 |    2:49:44 |    1:35:28
+[20:58:47]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000727
+    6450 |     0 |   0.058244 |   0.117074 |     6.14e-06 |    2:51:03 |    1:34:08
+[21:00:06]     TD diagnostics: frac_valid=0.625, td_loss_mean=0.000451
+    6500 |     0 |   0.131202 |   0.117676 |     5.98e-06 |    2:52:21 |    1:32:48
+[21:01:24]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001126
+    6550 |     0 |   0.063939 |   0.117055 |     5.83e-06 |    2:53:39 |    1:31:28
+[21:02:42]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000967
+    6600 |     0 |   0.167218 |   0.117860 |     5.68e-06 |    2:54:58 |    1:30:08
+[21:04:01]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000873
+    6650 |     0 |   0.147662 |   0.118859 |     5.53e-06 |    2:56:16 |    1:28:48
+[21:05:19]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000914
+    6700 |     0 |   0.118069 |   0.118230 |     5.39e-06 |    2:57:35 |    1:27:28
+[21:06:38]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001109
+    6750 |     0 |   0.091222 |   0.118508 |     5.24e-06 |    2:58:53 |    1:26:07
+[21:07:56]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001364
+    6800 |     0 |   0.143813 |   0.118925 |     5.10e-06 |    3:00:11 |    1:24:47
+[21:09:14]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000966
+    6850 |     0 |   0.123289 |   0.119065 |     4.95e-06 |    3:01:30 |    1:23:27
+[21:10:33]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001163
+    6900 |     0 |   0.175442 |   0.119387 |     4.81e-06 |    3:02:48 |    1:22:07
+[21:11:51]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.000569
+    6950 |     0 |   0.169414 |   0.120233 |     4.67e-06 |    3:04:06 |    1:20:47
+[21:13:09]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000777
+    7000 |     0 |   0.095963 |   0.117719 |     4.53e-06 |    3:05:24 |    1:19:27
+[21:14:27]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001140
+[21:14:28] Generating 16 validation images ...
+[21:14:48] Validation step 7000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0007000.png
+    7050 |     0 |   0.115634 |   0.115479 |     4.39e-06 |    3:07:03 |    1:18:16
+[21:16:06]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000897
+    7100 |     0 |   0.146535 |   0.116080 |     4.26e-06 |    3:08:22 |    1:16:56
+[21:17:25]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000941
+    7150 |     0 |   0.098619 |   0.115952 |     4.12e-06 |    3:09:40 |    1:15:36
+[21:18:43]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000677
+    7200 |     0 |   0.222440 |   0.117061 |     3.99e-06 |    3:10:58 |    1:14:16
+[21:20:01]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001417
+    7250 |     0 |   0.047401 |   0.117052 |     3.86e-06 |    3:12:17 |    1:12:56
+[21:21:20]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000483
+    7300 |     0 |   0.080278 |   0.117148 |     3.73e-06 |    3:13:35 |    1:11:36
+[21:22:38]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001056
+    7350 |     0 |   0.074324 |   0.115677 |     3.60e-06 |    3:14:53 |    1:10:16
+[21:23:56]     TD diagnostics: frac_valid=0.625, td_loss_mean=0.000813
+    7400 |     0 |   0.161146 |   0.116321 |     3.47e-06 |    3:16:12 |    1:08:56
+[21:25:15]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000858
+    7450 |     0 |   0.094122 |   0.115822 |     3.35e-06 |    3:17:30 |    1:07:36
+[21:26:33]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001088
+    7500 |     0 |   0.121905 |   0.116353 |     3.23e-06 |    3:18:48 |    1:06:16
+[21:27:51]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000934
+    7550 |     0 |   0.083390 |   0.115989 |     3.11e-06 |    3:20:06 |    1:04:56
+[21:29:09]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000789
+    7600 |     0 |   0.125585 |   0.115914 |     2.99e-06 |    3:21:25 |    1:03:36
+[21:30:28]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001014
+    7650 |     0 |   0.196336 |   0.117323 |     2.87e-06 |    3:22:43 |    1:02:16
+[21:31:46]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000672
+    7700 |     0 |   0.166232 |   0.118051 |     2.76e-06 |    3:24:01 |    1:00:56
+[21:33:04]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000945
+    7750 |     0 |   0.106773 |   0.118619 |     2.64e-06 |    3:25:20 |    0:59:36
+[21:34:23]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000805
+    7800 |     0 |   0.197211 |   0.119502 |     2.53e-06 |    3:26:38 |    0:58:17
+[21:35:41]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001212
+    7850 |     0 |   0.121284 |   0.119645 |     2.42e-06 |    3:27:56 |    0:56:57
+[21:36:59]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001148
+    7900 |     0 |   0.093353 |   0.119619 |     2.32e-06 |    3:29:15 |    0:55:37
+[21:38:18]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001106
+    7950 |     0 |   0.087572 |   0.118242 |     2.21e-06 |    3:30:33 |    0:54:17
+[21:39:36]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.001089
+    8000 |     0 |   0.101959 |   0.117780 |     2.11e-06 |    3:31:51 |    0:52:57
+[21:40:54]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000755
+[21:40:59]   Saved checkpoint -> RESULTS/coco/run_017/checkpoint-8000
+[21:41:00] Generating 16 validation images ...
+[21:41:20] Validation step 8000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0008000.png
+    8050 |     0 |   0.119280 |   0.118230 |     2.01e-06 |    3:33:35 |    0:51:44
+[21:42:38]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001125
+    8100 |     0 |   0.070494 |   0.117772 |     1.91e-06 |    3:34:53 |    0:50:24
+[21:43:57]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001060
+    8150 |     0 |   0.158523 |   0.118588 |     1.81e-06 |    3:36:12 |    0:49:04
+[21:45:15]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001081
+    8200 |     0 |   0.098447 |   0.118728 |     1.72e-06 |    3:37:30 |    0:47:44
+[21:46:33]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001024
+    8250 |     0 |   0.059816 |   0.118310 |     1.63e-06 |    3:38:49 |    0:46:24
+[21:47:52]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000839
+    8300 |     0 |   0.101572 |   0.118176 |     1.54e-06 |    3:40:07 |    0:45:05
+[21:49:10]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000745
+    8350 |     0 |   0.073889 |   0.117077 |     1.45e-06 |    3:41:25 |    0:43:45
+[21:50:28]     TD diagnostics: frac_valid=0.625, td_loss_mean=0.001015
+    8400 |     0 |   0.071664 |   0.116534 |     1.37e-06 |    3:42:43 |    0:42:25
+[21:51:46]     TD diagnostics: frac_valid=0.625, td_loss_mean=0.000571
+    8450 |     0 |   0.112927 |   0.116233 |     1.29e-06 |    3:44:02 |    0:41:05
+[21:53:05]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001097
+    8500 |     0 |   0.107996 |   0.116792 |     1.21e-06 |    3:45:20 |    0:39:45
+[21:54:23]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000703
+    8550 |     0 |   0.086506 |   0.116686 |     1.13e-06 |    3:46:38 |    0:38:26
+[21:55:41]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000699
+    8600 |     0 |   0.260757 |   0.117758 |     1.05e-06 |    3:47:57 |    0:37:06
+[21:57:00]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000973
+    8650 |     0 |   0.073090 |   0.116846 |     9.80e-07 |    3:49:15 |    0:35:46
+[21:58:18]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001037
+    8700 |     0 |   0.110772 |   0.117520 |     9.10e-07 |    3:50:33 |    0:34:27
+[21:59:36]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000747
+    8750 |     0 |   0.042685 |   0.116978 |     8.42e-07 |    3:51:51 |    0:33:07
+[22:00:54]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000850
+    8800 |     0 |   0.065768 |   0.116345 |     7.77e-07 |    3:53:10 |    0:31:47
+[22:02:13]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000782
+    8850 |     0 |   0.129140 |   0.117219 |     7.14e-07 |    3:54:28 |    0:30:28
+[22:03:31]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.001299
+    8900 |     0 |   0.085094 |   0.117244 |     6.54e-07 |    3:55:46 |    0:29:08
+[22:04:50]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001195
+    8950 |     0 |   0.008470 |   0.116393 |     5.97e-07 |    3:57:05 |    0:27:48
+[22:06:08]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000975
+    9000 |     0 |   0.094484 |   0.115859 |     5.42e-07 |    3:58:23 |    0:26:29
+[22:07:26]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000550
+[22:07:26] Generating 16 validation images ...
+[22:07:47] Validation step 9000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0009000.png
+    9050 |     0 |   0.161608 |   0.116546 |     4.89e-07 |    4:00:02 |    0:25:11
+[22:09:05]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000761
+    9100 |     0 |   0.106646 |   0.116286 |     4.40e-07 |    4:01:20 |    0:23:52
+[22:10:23]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001041
+    9150 |     0 |   0.094615 |   0.115966 |     3.92e-07 |    4:02:38 |    0:22:32
+[22:11:41]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001135
+    9200 |     0 |   0.147672 |   0.116256 |     3.48e-07 |    4:03:57 |    0:21:12
+[22:13:00]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000613
+    9250 |     0 |   0.166315 |   0.117220 |     3.06e-07 |    4:05:15 |    0:19:53
+[22:14:18]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001359
+    9300 |     0 |   0.180185 |   0.117458 |     2.67e-07 |    4:06:33 |    0:18:33
+[22:15:37]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001162
+    9350 |     0 |   0.135110 |   0.118697 |     2.30e-07 |    4:07:52 |    0:17:13
+[22:16:55]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000860
+    9400 |     0 |   0.124089 |   0.118404 |     1.96e-07 |    4:09:10 |    0:15:54
+[22:18:13]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000913
+    9450 |     0 |   0.057111 |   0.118097 |     1.65e-07 |    4:10:28 |    0:14:34
+[22:19:32]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000955
+    9500 |     0 |   0.035060 |   0.115798 |     1.36e-07 |    4:11:47 |    0:13:15
+[22:20:50]     TD diagnostics: frac_valid=0.750, td_loss_mean=0.000781
+    9550 |     0 |   0.016443 |   0.113794 |     1.11e-07 |    4:13:05 |    0:11:55
+[22:22:08]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000895
+    9600 |     0 |   0.146719 |   0.114068 |     8.74e-08 |    4:14:23 |    0:10:35
+[22:23:26]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001398
+    9650 |     0 |   0.091478 |   0.113759 |     6.69e-08 |    4:15:41 |    0:09:16
+[22:24:44]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.001428
+    9700 |     0 |   0.141879 |   0.113677 |     4.92e-08 |    4:17:00 |    0:07:56
+[22:26:03]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000931
+    9750 |     0 |   0.069011 |   0.113632 |     3.42e-08 |    4:18:18 |    0:06:37
+[22:27:21]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000807
+    9800 |     0 |   0.093798 |   0.112335 |     2.19e-08 |    4:19:36 |    0:05:17
+[22:28:40]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000926
+    9850 |     0 |   0.083650 |   0.111806 |     1.23e-08 |    4:20:55 |    0:03:58
+[22:29:58]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000596
+    9900 |     0 |   0.069996 |   0.111612 |     5.47e-09 |    4:22:13 |    0:02:38
+[22:31:16]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000655
+    9950 |     0 |   0.052615 |   0.110150 |     1.37e-09 |    4:23:31 |    0:01:19
+[22:32:35]     TD diagnostics: frac_valid=0.875, td_loss_mean=0.000689
+   10000 |     0 |   0.150759 |   0.111363 |     0.00e+00 |    4:24:50 |    0:00:00
+[22:33:53]     TD diagnostics: frac_valid=1.000, td_loss_mean=0.000859
+[22:33:58]   Saved checkpoint -> RESULTS/coco/run_017/checkpoint-10000
+[22:33:59] Generating 16 validation images ...
+[22:34:19] Validation step 10000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0010000.png
+[22:34:19] --- Epoch 0 | Steps: 10000 | Avg Loss: 0.115011 ---
+[22:34:19] Saving final model ...
+[22:34:31]   Pipeline saved -> RESULTS/coco/run_017
+[22:34:31] Generating final validation collage ...
+[22:34:31] Generating 16 validation images ...
+[22:34:51] Validation step 10000: 16 images -> RESULTS/coco/run_017/validation/collage_step_0010000.png
+[22:34:51]
+[22:34:51] ============================================================
+[22:34:51]   TRAINING SUMMARY
+[22:34:51] ============================================================
+[22:34:51]   Total steps  : 200
+[22:34:51]   Final loss   : 0.150759
+[22:34:51]   Avg last 100 : 0.111363
+[22:34:51]   Min loss     : 0.008470
+[22:34:51]   Total time   : 4:25:48
+[22:34:51]   Output       : RESULTS/coco/run_017
+[22:34:51] ============================================================

coco/pixart_sigma/TD/training_args.json ADDED Viewed

	@@ -0,0 +1,53 @@

+{
+  "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,
+  "variant": 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": "cosine",
+  "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": 2,
+  "resume_from_checkpoint": null,
+  "validation_steps": 1000,
+  "validation_prompts_file": null,
+  "log_every_n_steps": 50,
+  "td_enable": true,
+  "td_k_idx": 1.0,
+  "td_one_idx": null,
+  "td_lambda": 1.0,
+  "td_weight": false,
+  "td_sigma_min": 0.002,
+  "td_sigma_max": 80.0,
+  "td_rho": 7.0,
+  "td_steps": 18,
+  "td_sigma_data": 0.5,
+  "td_ema_tau": 0.999,
+  "td_target_update_freq": 1,
+  "max_sequence_length": 300,
+  "dataloader_num_workers": 4,
+  "output_dir": "RESULTS/coco/run_017"
+}

coco/pixart_sigma/TD/training_summary.json ADDED Viewed

	@@ -0,0 +1,7 @@

+{
+  "total_steps": 200,
+  "final_loss": 0.15075910091400146,
+  "avg_last_100": 0.11136285167187453,
+  "min_loss": 0.008470471948385239,
+  "total_time": "4:25:48"
+}