surjo0 commited on
Commit
bbb19f0
·
verified ·
1 Parent(s): 13774b4

Add files using upload-large-folder tool

Browse files
coco/pixart_alpha/run_007/Eval/generated_images/rank_3/000948.png ADDED

Git LFS Details

  • SHA256: 1b8a53bcb4e1dbf9a62ff8d9bdb8ea1015487eba6dd4de1459445d9b55c48f69
  • Pointer size: 131 Bytes
  • Size of remote file: 334 kB
coco/pixart_sigma/TD/checkpoint-10000/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
5
+ "activation_fn": "gelu-approximate",
6
+ "attention_bias": true,
7
+ "attention_head_dim": 72,
8
+ "attention_type": "default",
9
+ "caption_channels": 4096,
10
+ "cross_attention_dim": 1152,
11
+ "double_self_attention": false,
12
+ "dropout": 0.0,
13
+ "in_channels": 4,
14
+ "interpolation_scale": 1,
15
+ "norm_elementwise_affine": false,
16
+ "norm_eps": 1e-06,
17
+ "norm_num_groups": 32,
18
+ "norm_type": "ada_norm_single",
19
+ "num_attention_heads": 16,
20
+ "num_embeds_ada_norm": 1000,
21
+ "num_layers": 28,
22
+ "num_vector_embeds": null,
23
+ "only_cross_attention": false,
24
+ "out_channels": 8,
25
+ "patch_size": 2,
26
+ "sample_size": 64,
27
+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
29
+ "use_linear_projection": false
30
+ }
coco/pixart_sigma/TD/checkpoint-8000/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
5
+ "activation_fn": "gelu-approximate",
6
+ "attention_bias": true,
7
+ "attention_head_dim": 72,
8
+ "attention_type": "default",
9
+ "caption_channels": 4096,
10
+ "cross_attention_dim": 1152,
11
+ "double_self_attention": false,
12
+ "dropout": 0.0,
13
+ "in_channels": 4,
14
+ "interpolation_scale": 1,
15
+ "norm_elementwise_affine": false,
16
+ "norm_eps": 1e-06,
17
+ "norm_num_groups": 32,
18
+ "norm_type": "ada_norm_single",
19
+ "num_attention_heads": 16,
20
+ "num_embeds_ada_norm": 1000,
21
+ "num_layers": 28,
22
+ "num_vector_embeds": null,
23
+ "only_cross_attention": false,
24
+ "out_channels": 8,
25
+ "patch_size": 2,
26
+ "sample_size": 64,
27
+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
29
+ "use_linear_projection": false
30
+ }
coco/pixart_sigma/TD/scheduler/scheduler_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "DPMSolverMultistepScheduler",
3
+ "_diffusers_version": "0.37.1",
4
+ "algorithm_type": "dpmsolver++",
5
+ "beta_end": 0.02,
6
+ "beta_schedule": "linear",
7
+ "beta_start": 0.0001,
8
+ "dynamic_thresholding_ratio": 0.995,
9
+ "euler_at_final": false,
10
+ "final_sigmas_type": "zero",
11
+ "flow_shift": 1.0,
12
+ "lambda_min_clipped": -Infinity,
13
+ "lower_order_final": true,
14
+ "num_train_timesteps": 1000,
15
+ "prediction_type": "epsilon",
16
+ "rescale_betas_zero_snr": false,
17
+ "sample_max_value": 1.0,
18
+ "solver_order": 2,
19
+ "solver_type": "midpoint",
20
+ "steps_offset": 0,
21
+ "thresholding": false,
22
+ "time_shift_type": "exponential",
23
+ "timestep_spacing": "linspace",
24
+ "trained_betas": null,
25
+ "use_beta_sigmas": false,
26
+ "use_dynamic_shifting": false,
27
+ "use_exponential_sigmas": false,
28
+ "use_flow_sigmas": false,
29
+ "use_karras_sigmas": false,
30
+ "use_lu_lambdas": false,
31
+ "variance_type": null
32
+ }
coco/pixart_sigma/TD/text_encoder/config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "T5EncoderModel"
4
+ ],
5
+ "classifier_dropout": 0.0,
6
+ "d_ff": 10240,
7
+ "d_kv": 64,
8
+ "d_model": 4096,
9
+ "decoder_start_token_id": 0,
10
+ "dense_act_fn": "gelu_new",
11
+ "dropout_rate": 0.1,
12
+ "dtype": "bfloat16",
13
+ "eos_token_id": 1,
14
+ "feed_forward_proj": "gated-gelu",
15
+ "initializer_factor": 1.0,
16
+ "is_decoder": false,
17
+ "is_encoder_decoder": false,
18
+ "is_gated_act": true,
19
+ "layer_norm_epsilon": 1e-06,
20
+ "model_type": "t5",
21
+ "num_decoder_layers": 24,
22
+ "num_heads": 64,
23
+ "num_layers": 24,
24
+ "output_past": true,
25
+ "pad_token_id": 0,
26
+ "relative_attention_max_distance": 128,
27
+ "relative_attention_num_buckets": 32,
28
+ "scale_decoder_outputs": false,
29
+ "tie_word_embeddings": true,
30
+ "transformers_version": "5.9.0",
31
+ "use_cache": false,
32
+ "vocab_size": 32128
33
+ }
coco/pixart_sigma/TD/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
5
+ "activation_fn": "gelu-approximate",
6
+ "attention_bias": true,
7
+ "attention_head_dim": 72,
8
+ "attention_type": "default",
9
+ "caption_channels": 4096,
10
+ "cross_attention_dim": 1152,
11
+ "double_self_attention": false,
12
+ "dropout": 0.0,
13
+ "in_channels": 4,
14
+ "interpolation_scale": 1,
15
+ "norm_elementwise_affine": false,
16
+ "norm_eps": 1e-06,
17
+ "norm_num_groups": 32,
18
+ "norm_type": "ada_norm_single",
19
+ "num_attention_heads": 16,
20
+ "num_embeds_ada_norm": 1000,
21
+ "num_layers": 28,
22
+ "num_vector_embeds": null,
23
+ "only_cross_attention": false,
24
+ "out_channels": 8,
25
+ "patch_size": 2,
26
+ "sample_size": 64,
27
+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
29
+ "use_linear_projection": false
30
+ }
coco/pixart_sigma/TD/vae/config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "AutoencoderKL",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
5
+ "act_fn": "silu",
6
+ "block_out_channels": [
7
+ 128,
8
+ 256,
9
+ 512,
10
+ 512
11
+ ],
12
+ "down_block_types": [
13
+ "DownEncoderBlock2D",
14
+ "DownEncoderBlock2D",
15
+ "DownEncoderBlock2D",
16
+ "DownEncoderBlock2D"
17
+ ],
18
+ "force_upcast": false,
19
+ "in_channels": 3,
20
+ "latent_channels": 4,
21
+ "latents_mean": null,
22
+ "latents_std": null,
23
+ "layers_per_block": 2,
24
+ "mid_block_add_attention": true,
25
+ "norm_num_groups": 32,
26
+ "out_channels": 3,
27
+ "sample_size": 512,
28
+ "scaling_factor": 0.13025,
29
+ "shift_factor": null,
30
+ "up_block_types": [
31
+ "UpDecoderBlock2D",
32
+ "UpDecoderBlock2D",
33
+ "UpDecoderBlock2D",
34
+ "UpDecoderBlock2D"
35
+ ],
36
+ "use_post_quant_conv": true,
37
+ "use_quant_conv": true
38
+ }
coco/sana 0.6/RAD/training.log ADDED
@@ -0,0 +1,303 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-07-29 17:34:10
2
+ ==========================================================================================================================================================================
3
+ Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA
4
+ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------
5
+ [17:34:10] Run directory: RESULTS/coco/run_002
6
+ [17:34:10] cuDNN SDPA disabled -- Flash/math backend for bf16 compatibility
7
+ [17:34:10] AGD: temperature=0.1, curriculum_steps=5000, max_delta=300
8
+ [17:34:10] TAM: enabled=True, alpha=0.9, factor=0.5
9
+ [17:34:10] SAD: enabled=True, temperature=0.5
10
+ [17:34:10] Loading pretrained SANA components ...
11
+ [17:34:17] Transformer params: 591,747,872 total, 591,747,872 trainable
12
+ [17:34:17] Building dataset ...
13
+ [17:34:18] TAM initialised: 591435 samples tracked.
14
+ [17:34:18]
15
+ [17:34:18] ========================================================================
16
+ [17:34:18] Output dir = RESULTS/coco/run_002
17
+ [17:34:18] Num examples = 591435
18
+ [17:34:18] Num epochs = 1
19
+ [17:34:18] Batch/device = 8
20
+ [17:34:18] Effective BS = 8
21
+ [17:34:18] Total optim steps = 10000
22
+ [17:34:18] LR = 0.0001
23
+ [17:34:18] Precision = bf16
24
+ [17:34:18] --- AGD Easy-to-Hard Curriculum ---
25
+ [17:34:18] AGD temperature = 0.1
26
+ [17:34:18] Curriculum steps = 5000
27
+ [17:34:18] Max timestep delta = 300
28
+ [17:34:18] --- TAM: Temporal Advantage Memory ---
29
+ [17:34:18] TAM enabled = True
30
+ [17:34:18] TAM alpha (EMA decay) = 0.9
31
+ [17:34:18] TAM factor (modulation)= 0.5
32
+ [17:34:18] TAM log every = 500 steps
33
+ [17:34:18] --- SAD: Spectral Advantage Decomposition ---
34
+ [17:34:18] SAD enabled = True
35
+ [17:34:18] SAD temperature = 0.5
36
+ [17:34:18] ========================================================================
37
+ [17:34:18]
38
+ 50 | 0 | 0.830713 | 0.830713 | 0.830091 | 0.835371 | 0.005280 | 1.0000 | -0.0000 | 3.00 | 1.00e-05 | 0:00:48 | 2:41:16
39
+ 100 | 0 | 0.900606 | 0.865660 | 0.915103 | 0.908465 | -0.006638 | 1.0000 | -0.0000 | 6.00 | 2.00e-05 | 0:01:28 | 2:26:50
40
+ 150 | 0 | 0.927868 | 0.886396 | 0.955220 | 0.946235 | -0.008985 | 1.0000 | -0.0000 | 9.00 | 3.00e-05 | 0:02:09 | 2:21:51
41
+ 200 | 0 | 0.805453 | 0.866160 | 0.835915 | 0.823393 | -0.012522 | 1.0000 | -0.0000 | 12.00 | 4.00e-05 | 0:02:50 | 2:19:13
42
+ 250 | 0 | 0.815241 | 0.855976 | 0.788012 | 0.814123 | 0.026111 | 1.0000 | -0.0000 | 15.00 | 5.00e-05 | 0:03:31 | 2:17:26
43
+ 300 | 0 | 0.967618 | 0.874583 | 0.943928 | 0.948733 | 0.004805 | 1.0000 | -0.0000 | 18.00 | 6.00e-05 | 0:04:12 | 2:16:01
44
+ 350 | 0 | 0.876584 | 0.874869 | 0.900878 | 0.892086 | -0.008792 | 1.0000 | -0.0000 | 21.00 | 7.00e-05 | 0:04:53 | 2:14:50
45
+ 400 | 0 | 0.879483 | 0.875446 | 0.912594 | 0.898772 | -0.013821 | 1.0000 | -0.0000 | 24.00 | 8.00e-05 | 0:05:34 | 2:13:46
46
+ 450 | 0 | 0.889104 | 0.876964 | 0.917744 | 0.907857 | -0.009887 | 1.0000 | -0.0000 | 27.00 | 9.00e-05 | 0:06:15 | 2:12:44
47
+ 500 | 0 | 0.818459 | 0.871113 | 0.825476 | 0.829784 | 0.004308 | 1.0000 | -0.0000 | 30.00 | 1.00e-04 | 0:06:56 | 2:11:52
48
+ [17:41:07] [TAM stats @ step 500] mean=-0.0000 std=0.0003 max=0.0194 min=-0.0251 visits=4000
49
+ 550 | 0 | 0.857364 | 0.869863 | 0.870198 | 0.845143 | -0.025055 | 1.0000 | -0.0000 | 33.00 | 1.00e-04 | 0:07:37 | 2:10:55
50
+ 600 | 0 | 0.742315 | 0.859234 | 0.797943 | 0.768166 | -0.029777 | 1.0000 | -0.0000 | 36.00 | 1.00e-04 | 0:08:18 | 2:10:04
51
+ 650 | 0 | 0.776422 | 0.852864 | 0.844524 | 0.834472 | -0.010052 | 1.0000 | -0.0000 | 39.00 | 1.00e-04 | 0:08:59 | 2:09:14
52
+ 700 | 0 | 0.975714 | 0.861639 | 0.915093 | 0.920714 | 0.005621 | 1.0000 | -0.0000 | 42.00 | 1.00e-04 | 0:09:40 | 2:08:27
53
+ 750 | 0 | 0.883219 | 0.863078 | 0.879588 | 0.880765 | 0.001176 | 1.0000 | -0.0000 | 45.00 | 1.00e-04 | 0:10:21 | 2:07:42
54
+ 800 | 0 | 0.862497 | 0.863041 | 0.909649 | 0.887141 | -0.022509 | 1.0000 | -0.0000 | 48.00 | 1.00e-04 | 0:11:03 | 2:07:07
55
+ 850 | 0 | 0.792041 | 0.858865 | 0.807215 | 0.818827 | 0.011612 | 1.0000 | -0.0000 | 51.00 | 1.00e-04 | 0:11:45 | 2:06:36
56
+ 900 | 0 | 0.803994 | 0.855817 | 0.855076 | 0.806398 | -0.048678 | 1.0000 | -0.0000 | 54.00 | 1.00e-04 | 0:12:27 | 2:06:00
57
+ 950 | 0 | 1.081108 | 0.867674 | 1.051251 | 1.043198 | -0.008053 | 1.0000 | -0.0000 | 57.00 | 1.00e-04 | 0:13:09 | 2:05:23
58
+ 1000 | 0 | 0.965868 | 0.872584 | 0.939210 | 0.935937 | -0.003273 | 1.0000 | -0.0000 | 60.00 | 1.00e-04 | 0:13:51 | 2:04:45
59
+ [17:48:02] [TAM stats @ step 1000] mean=-0.0000 std=0.0004 max=0.0248 min=-0.0251 visits=8000
60
+ [17:48:02] Generating 16 validation images ...
61
+ [17:48:15] Validation at step 1000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0001000.png
62
+ 1050 | 0 | 0.837070 | 0.870893 | 0.806643 | 0.788124 | -0.018519 | 1.0000 | -0.0000 | 63.00 | 1.00e-04 | 0:14:46 | 2:05:57
63
+ 1100 | 0 | 0.861672 | 0.870473 | 0.886924 | 0.879514 | -0.007409 | 1.0000 | -0.0000 | 66.00 | 1.00e-04 | 0:15:28 | 2:05:15
64
+ 1150 | 0 | 0.967956 | 0.874712 | 1.004929 | 0.989334 | -0.015595 | 1.0000 | -0.0000 | 69.00 | 1.00e-04 | 0:16:10 | 2:04:31
65
+ 1200 | 0 | 0.895127 | 0.875562 | 0.875962 | 0.886617 | 0.010655 | 1.0000 | -0.0000 | 72.00 | 1.00e-04 | 0:16:52 | 2:03:47
66
+ 1250 | 0 | 0.914159 | 0.877106 | 0.902050 | 0.853002 | -0.049047 | 1.0000 | -0.0000 | 75.00 | 1.00e-04 | 0:17:34 | 2:03:04
67
+ 1300 | 0 | 0.985991 | 0.881294 | 0.987855 | 0.948218 | -0.039638 | 1.0000 | -0.0000 | 78.00 | 1.00e-04 | 0:18:16 | 2:02:19
68
+ 1350 | 0 | 0.925725 | 0.882940 | 0.913914 | 0.892813 | -0.021101 | 1.0000 | -0.0000 | 81.00 | 1.00e-04 | 0:18:58 | 2:01:34
69
+ 1400 | 0 | 0.933709 | 0.884753 | 0.961548 | 0.967320 | 0.005771 | 1.0000 | -0.0000 | 84.00 | 1.00e-04 | 0:19:40 | 2:00:49
70
+ 1450 | 0 | 0.854622 | 0.883714 | 0.853419 | 0.858642 | 0.005223 | 1.0000 | -0.0000 | 87.00 | 1.00e-04 | 0:20:21 | 2:00:02
71
+ 1500 | 0 | 0.861847 | 0.882985 | 0.881581 | 0.864381 | -0.017200 | 1.0000 | -0.0000 | 90.00 | 1.00e-04 | 0:21:03 | 1:59:18
72
+ [17:55:13] [TAM stats @ step 1500] mean=-0.0000 std=0.0006 max=0.0322 min=-0.0251 visits=12000
73
+ 1550 | 0 | 0.970061 | 0.885794 | 1.002885 | 0.975230 | -0.027655 | 1.0000 | -0.0000 | 93.00 | 1.00e-04 | 0:21:45 | 1:58:35
74
+ 1600 | 0 | 1.014892 | 0.889828 | 0.964210 | 0.964931 | 0.000720 | 1.0000 | -0.0000 | 96.00 | 1.00e-04 | 0:22:27 | 1:57:52
75
+ 1650 | 0 | 0.871167 | 0.889263 | 0.886880 | 0.844129 | -0.042752 | 1.0000 | -0.0000 | 99.00 | 1.00e-04 | 0:23:09 | 1:57:09
76
+ 1700 | 0 | 0.984869 | 0.892075 | 0.959138 | 0.931915 | -0.027222 | 1.0000 | -0.0000 | 102.00 | 1.00e-04 | 0:23:50 | 1:56:24
77
+ 1750 | 0 | 0.902413 | 0.892370 | 0.907757 | 0.903964 | -0.003793 | 1.0000 | -0.0000 | 105.00 | 1.00e-04 | 0:24:32 | 1:55:41
78
+ 1800 | 0 | 0.814276 | 0.890201 | 0.814286 | 0.790726 | -0.023560 | 1.0000 | -0.0000 | 108.00 | 1.00e-04 | 0:25:14 | 1:54:57
79
+ 1850 | 0 | 0.919615 | 0.890996 | 0.861695 | 0.858192 | -0.003503 | 1.0000 | -0.0000 | 111.00 | 1.00e-04 | 0:25:56 | 1:54:16
80
+ 1900 | 0 | 0.867565 | 0.890379 | 0.866987 | 0.825204 | -0.041783 | 1.0000 | -0.0000 | 114.00 | 1.00e-04 | 0:26:37 | 1:53:30
81
+ 1950 | 0 | 0.719334 | 0.885993 | 0.790718 | 0.747964 | -0.042754 | 1.0000 | -0.0000 | 117.00 | 1.00e-04 | 0:27:19 | 1:52:47
82
+ 2000 | 0 | 0.847054 | 0.885020 | 0.911611 | 0.843273 | -0.068338 | 1.0000 | -0.0000 | 120.00 | 1.00e-04 | 0:28:01 | 1:52:06
83
+ [18:02:12] [TAM stats @ step 2000] mean=-0.0000 std=0.0009 max=0.1001 min=-0.0298 visits=16000
84
+ [18:02:17] Saved checkpoint -> RESULTS/coco/run_002/checkpoint-2000
85
+ [18:02:17] Generating 16 validation images ...
86
+ [18:02:29] Validation at step 2000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0002000.png
87
+ 2050 | 0 | 0.902485 | 0.885446 | 0.970084 | 0.885663 | -0.084421 | 1.0000 | -0.0001 | 123.00 | 1.00e-04 | 0:29:02 | 1:52:37
88
+ 2100 | 0 | 0.944589 | 0.886854 | 0.973159 | 0.922987 | -0.050172 | 1.0000 | -0.0001 | 126.00 | 1.00e-04 | 0:29:45 | 1:51:57
89
+ 2150 | 0 | 1.028913 | 0.890158 | 1.018897 | 0.983630 | -0.035267 | 1.0000 | -0.0001 | 129.00 | 1.00e-04 | 0:30:28 | 1:51:17
90
+ 2200 | 0 | 0.750862 | 0.886992 | 0.816315 | 0.791378 | -0.024937 | 1.0000 | -0.0001 | 132.00 | 1.00e-04 | 0:31:11 | 1:50:34
91
+ 2250 | 0 | 0.922333 | 0.887777 | 0.982803 | 0.930524 | -0.052279 | 1.0000 | -0.0001 | 135.00 | 1.00e-04 | 0:31:54 | 1:49:54
92
+ 2300 | 0 | 0.817488 | 0.886249 | 0.874966 | 0.806950 | -0.068016 | 1.0000 | -0.0001 | 138.00 | 1.00e-04 | 0:32:38 | 1:49:15
93
+ 2350 | 0 | 0.871315 | 0.885932 | 0.911678 | 0.835538 | -0.076141 | 1.0000 | -0.0001 | 141.00 | 1.00e-04 | 0:33:20 | 1:48:33
94
+ 2400 | 0 | 0.898569 | 0.886195 | 0.876460 | 0.845807 | -0.030653 | 1.0000 | -0.0001 | 144.00 | 1.00e-04 | 0:34:03 | 1:47:50
95
+ 2450 | 0 | 0.900945 | 0.886496 | 0.968116 | 0.928023 | -0.040092 | 1.0000 | -0.0001 | 147.00 | 1.00e-04 | 0:34:46 | 1:47:08
96
+ 2500 | 0 | 0.934413 | 0.887454 | 0.962099 | 0.924041 | -0.038058 | 1.0000 | -0.0001 | 150.00 | 1.00e-04 | 0:35:28 | 1:46:25
97
+ [18:09:39] [TAM stats @ step 2500] mean=-0.0001 std=0.0012 max=0.1001 min=-0.0298 visits=20000
98
+ 2550 | 0 | 1.051783 | 0.890676 | 0.929130 | 0.963245 | 0.034116 | 1.0000 | -0.0001 | 153.00 | 1.00e-04 | 0:36:10 | 1:45:41
99
+ 2600 | 0 | 0.994561 | 0.892674 | 0.848334 | 0.869608 | 0.021275 | 1.0000 | -0.0001 | 156.00 | 1.00e-04 | 0:36:53 | 1:44:58
100
+ 2650 | 0 | 0.775064 | 0.890455 | 0.813891 | 0.789584 | -0.024307 | 1.0000 | -0.0001 | 159.00 | 1.00e-04 | 0:37:35 | 1:44:14
101
+ 2700 | 0 | 0.874045 | 0.890151 | 0.904802 | 0.884460 | -0.020342 | 1.0000 | -0.0001 | 162.00 | 1.00e-04 | 0:38:16 | 1:43:29
102
+ 2750 | 0 | 0.914536 | 0.890595 | 0.956005 | 0.870863 | -0.085142 | 1.0000 | -0.0001 | 165.00 | 1.00e-04 | 0:38:57 | 1:42:41
103
+ 2800 | 0 | 0.951243 | 0.891678 | 0.988427 | 0.945425 | -0.043003 | 1.0000 | -0.0001 | 168.00 | 1.00e-04 | 0:39:37 | 1:41:54
104
+ 2850 | 0 | 0.876474 | 0.891411 | 0.908139 | 0.892733 | -0.015407 | 1.0000 | -0.0001 | 171.00 | 1.00e-04 | 0:40:18 | 1:41:07
105
+ 2900 | 0 | 0.910257 | 0.891736 | 0.927905 | 0.902118 | -0.025787 | 1.0000 | -0.0001 | 174.00 | 1.00e-04 | 0:40:58 | 1:40:20
106
+ 2950 | 0 | 0.910976 | 0.892062 | 0.918763 | 0.879379 | -0.039384 | 1.0000 | -0.0001 | 177.00 | 1.00e-04 | 0:41:39 | 1:39:33
107
+ 3000 | 0 | 0.733138 | 0.889413 | 0.839592 | 0.752432 | -0.087160 | 1.0000 | -0.0001 | 180.00 | 1.00e-04 | 0:42:20 | 1:38:46
108
+ [18:16:30] [TAM stats @ step 3000] mean=-0.0001 std=0.0014 max=0.1001 min=-0.0371 visits=24000
109
+ [18:16:30] Generating 16 validation images ...
110
+ [18:16:43] Validation at step 3000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0003000.png
111
+ 3050 | 0 | 0.701515 | 0.886333 | 0.878667 | 0.740707 | -0.137959 | 1.0000 | -0.0001 | 183.00 | 1.00e-04 | 0:43:13 | 1:38:29
112
+ 3100 | 0 | 0.853757 | 0.885807 | 0.881880 | 0.824193 | -0.057687 | 1.0000 | -0.0001 | 186.00 | 1.00e-04 | 0:43:53 | 1:37:42
113
+ 3150 | 0 | 0.804526 | 0.884517 | 0.882366 | 0.799429 | -0.082937 | 1.0000 | -0.0001 | 189.00 | 1.00e-04 | 0:44:34 | 1:36:56
114
+ 3200 | 0 | 0.897449 | 0.884719 | 0.898945 | 0.845552 | -0.053393 | 1.0000 | -0.0001 | 192.00 | 1.00e-04 | 0:45:15 | 1:36:10
115
+ 3250 | 0 | 0.968596 | 0.886010 | 0.921463 | 0.886181 | -0.035282 | 1.0000 | -0.0001 | 195.00 | 1.00e-04 | 0:45:55 | 1:35:23
116
+ 3300 | 0 | 0.911965 | 0.886403 | 0.932827 | 0.889637 | -0.043190 | 1.0000 | -0.0001 | 198.00 | 1.00e-04 | 0:46:36 | 1:34:37
117
+ 3350 | 0 | 0.895634 | 0.886541 | 0.968209 | 0.893843 | -0.074366 | 1.0000 | -0.0001 | 201.00 | 1.00e-04 | 0:47:17 | 1:33:52
118
+ 3400 | 0 | 0.887854 | 0.886560 | 0.905789 | 0.883769 | -0.022020 | 1.0000 | -0.0001 | 204.00 | 1.00e-04 | 0:47:57 | 1:33:06
119
+ 3450 | 0 | 0.848867 | 0.886014 | 0.926533 | 0.851501 | -0.075032 | 1.0000 | -0.0001 | 207.00 | 1.00e-04 | 0:48:38 | 1:32:20
120
+ 3500 | 0 | 0.884000 | 0.885985 | 0.773794 | 0.710877 | -0.062918 | 1.0000 | -0.0001 | 210.00 | 1.00e-04 | 0:49:18 | 1:31:35
121
+ [18:23:29] [TAM stats @ step 3500] mean=-0.0001 std=0.0017 max=0.1001 min=-0.0391 visits=28000
122
+ 3550 | 0 | 0.841375 | 0.885357 | 0.885229 | 0.790542 | -0.094687 | 1.0000 | -0.0001 | 213.00 | 1.00e-04 | 0:49:59 | 1:30:49
123
+ 3600 | 0 | 0.922432 | 0.885872 | 0.917830 | 0.856148 | -0.061682 | 1.0000 | -0.0001 | 216.00 | 1.00e-04 | 0:50:39 | 1:30:04
124
+ 3650 | 0 | 0.857335 | 0.885481 | 0.809790 | 0.809286 | -0.000505 | 1.0000 | -0.0001 | 219.00 | 1.00e-04 | 0:51:20 | 1:29:18
125
+ 3700 | 0 | 0.832149 | 0.884760 | 0.847663 | 0.806606 | -0.041056 | 1.0000 | -0.0002 | 222.00 | 1.00e-04 | 0:52:00 | 1:28:33
126
+ 3750 | 0 | 0.940929 | 0.885509 | 0.865199 | 0.812150 | -0.053049 | 1.0000 | -0.0002 | 225.00 | 1.00e-04 | 0:52:41 | 1:27:48
127
+ 3800 | 0 | 0.893162 | 0.885610 | 0.861953 | 0.786229 | -0.075723 | 1.0000 | -0.0002 | 228.00 | 1.00e-04 | 0:53:21 | 1:27:04
128
+ 3850 | 0 | 0.874242 | 0.885462 | 0.888141 | 0.840863 | -0.047278 | 1.0000 | -0.0002 | 231.00 | 1.00e-04 | 0:54:02 | 1:26:19
129
+ 3900 | 0 | 0.890802 | 0.885530 | 0.823339 | 0.770002 | -0.053337 | 1.0000 | -0.0002 | 234.00 | 1.00e-04 | 0:54:42 | 1:25:34
130
+ 3950 | 0 | 0.905531 | 0.885784 | 0.966305 | 0.857195 | -0.109110 | 1.0000 | -0.0002 | 237.00 | 1.00e-04 | 0:55:23 | 1:24:50
131
+ 4000 | 0 | 1.039076 | 0.887700 | 0.971971 | 0.905488 | -0.066483 | 1.0000 | -0.0002 | 240.00 | 1.00e-04 | 0:56:03 | 1:24:05
132
+ [18:30:14] [TAM stats @ step 4000] mean=-0.0002 std=0.0020 max=0.1001 min=-0.0429 visits=32000
133
+ [18:30:19] Saved checkpoint -> RESULTS/coco/run_002/checkpoint-4000
134
+ [18:30:19] Generating 16 validation images ...
135
+ [18:30:31] Validation at step 4000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0004000.png
136
+ 4050 | 0 | 0.814434 | 0.886795 | 0.870628 | 0.759230 | -0.111398 | 1.0000 | -0.0002 | 243.00 | 1.00e-04 | 0:57:01 | 1:23:46
137
+ 4100 | 0 | 0.881630 | 0.886732 | 0.852606 | 0.861315 | 0.008709 | 1.0000 | -0.0002 | 246.00 | 1.00e-04 | 0:57:42 | 1:23:02
138
+ 4150 | 0 | 0.818346 | 0.885908 | 0.810247 | 0.757670 | -0.052577 | 1.0000 | -0.0002 | 249.00 | 1.00e-04 | 0:58:22 | 1:22:17
139
+ 4200 | 0 | 0.848292 | 0.885461 | 0.938873 | 0.851848 | -0.087025 | 1.0000 | -0.0002 | 252.00 | 1.00e-04 | 0:59:03 | 1:21:33
140
+ 4250 | 0 | 0.700140 | 0.883280 | 0.847424 | 0.800569 | -0.046855 | 1.0000 | -0.0002 | 255.00 | 1.00e-04 | 0:59:44 | 1:20:49
141
+ 4300 | 0 | 0.903284 | 0.883513 | 0.836949 | 0.780706 | -0.056243 | 1.0000 | -0.0002 | 258.00 | 1.00e-04 | 1:00:24 | 1:20:04
142
+ 4350 | 0 | 0.966961 | 0.884472 | 0.902179 | 0.903592 | 0.001413 | 1.0000 | -0.0002 | 261.00 | 1.00e-04 | 1:01:05 | 1:19:20
143
+ 4400 | 0 | 0.921805 | 0.884896 | 0.840772 | 0.776581 | -0.064191 | 1.0000 | -0.0002 | 264.00 | 1.00e-04 | 1:01:45 | 1:18:36
144
+ 4450 | 0 | 0.896319 | 0.885025 | 0.844517 | 0.823706 | -0.020811 | 1.0000 | -0.0002 | 267.00 | 1.00e-04 | 1:02:26 | 1:17:52
145
+ 4500 | 0 | 0.797468 | 0.884052 | 0.890443 | 0.764532 | -0.125911 | 1.0000 | -0.0002 | 270.00 | 1.00e-04 | 1:03:07 | 1:17:08
146
+ [18:37:17] [TAM stats @ step 4500] mean=-0.0002 std=0.0023 max=0.1195 min=-0.0530 visits=36000
147
+ 4550 | 0 | 0.890176 | 0.884119 | 0.929028 | 0.880058 | -0.048970 | 1.0000 | -0.0002 | 273.00 | 1.00e-04 | 1:03:47 | 1:16:25
148
+ 4600 | 0 | 0.810667 | 0.883321 | 0.901128 | 0.780471 | -0.120658 | 1.0000 | -0.0002 | 276.00 | 1.00e-04 | 1:04:28 | 1:15:41
149
+ 4650 | 0 | 0.871753 | 0.883196 | 0.931290 | 0.858426 | -0.072864 | 1.0000 | -0.0002 | 279.00 | 1.00e-04 | 1:05:08 | 1:14:57
150
+ 4700 | 0 | 0.822872 | 0.882555 | 0.756159 | 0.730898 | -0.025261 | 1.0000 | -0.0002 | 282.00 | 1.00e-04 | 1:05:49 | 1:14:13
151
+ 4750 | 0 | 0.899104 | 0.882729 | 0.986134 | 0.865227 | -0.120907 | 1.0000 | -0.0002 | 285.00 | 1.00e-04 | 1:06:30 | 1:13:30
152
+ 4800 | 0 | 0.744963 | 0.881294 | 0.965359 | 0.760290 | -0.205069 | 1.0000 | -0.0002 | 288.00 | 1.00e-04 | 1:07:10 | 1:12:46
153
+ 4850 | 0 | 0.803184 | 0.880488 | 0.916374 | 0.776261 | -0.140113 | 1.0000 | -0.0003 | 291.00 | 1.00e-04 | 1:07:51 | 1:12:03
154
+ 4900 | 0 | 0.983280 | 0.881537 | 1.056800 | 0.953873 | -0.102928 | 1.0000 | -0.0003 | 294.00 | 1.00e-04 | 1:08:32 | 1:11:19
155
+ 4950 | 0 | 1.024266 | 0.882979 | 0.920781 | 0.885083 | -0.035698 | 1.0000 | -0.0003 | 297.00 | 1.00e-04 | 1:09:12 | 1:10:36
156
+ 5000 | 0 | 0.895014 | 0.883099 | 0.904414 | 0.880096 | -0.024318 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:09:53 | 1:09:53
157
+ [18:44:03] [TAM stats @ step 5000] mean=-0.0003 std=0.0026 max=0.1195 min=-0.0867 visits=40000
158
+ [18:44:03] Generating 16 validation images ...
159
+ [18:44:16] Validation at step 5000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0005000.png
160
+ 5050 | 0 | 1.086190 | 0.885654 | 1.058022 | 0.992834 | -0.065188 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:10:46 | 1:09:22
161
+ 5100 | 0 | 0.786660 | 0.884515 | 0.844899 | 0.809271 | -0.035628 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:11:27 | 1:08:38
162
+ 5150 | 0 | 0.807014 | 0.883306 | 0.852299 | 0.854505 | 0.002205 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:12:07 | 1:07:55
163
+ 5200 | 0 | 0.707416 | 0.882326 | 0.727208 | 0.700025 | -0.027183 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:12:48 | 1:07:12
164
+ 5250 | 0 | 0.897008 | 0.883143 | 0.937637 | 0.820322 | -0.117315 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:13:28 | 1:06:28
165
+ 5300 | 0 | 0.879003 | 0.882257 | 0.953103 | 0.841980 | -0.111123 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:14:09 | 1:05:45
166
+ 5350 | 0 | 0.972303 | 0.883215 | 1.016926 | 0.923341 | -0.093585 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:14:49 | 1:05:02
167
+ 5400 | 0 | 0.925923 | 0.883679 | 0.905249 | 0.805962 | -0.099288 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:15:29 | 1:04:18
168
+ 5450 | 0 | 0.809689 | 0.882885 | 0.822466 | 0.787307 | -0.035159 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:16:10 | 1:03:35
169
+ 5500 | 0 | 0.860832 | 0.883308 | 0.965009 | 0.866423 | -0.098586 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:16:51 | 1:02:52
170
+ [18:51:02] [TAM stats @ step 5500] mean=-0.0003 std=0.0028 max=0.1229 min=-0.0867 visits=43999
171
+ 5550 | 0 | 0.883723 | 0.883572 | 0.914457 | 0.885498 | -0.028959 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:17:31 | 1:02:09
172
+ 5600 | 0 | 0.799062 | 0.884140 | 0.832957 | 0.795214 | -0.037743 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:18:12 | 1:01:27
173
+ 5650 | 0 | 0.803012 | 0.884405 | 0.789576 | 0.745267 | -0.044308 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:18:53 | 1:00:44
174
+ 5700 | 0 | 1.000526 | 0.884654 | 0.840132 | 0.883014 | 0.042882 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:19:34 | 1:00:01
175
+ 5750 | 0 | 1.065649 | 0.886478 | 0.847015 | 0.918285 | 0.071270 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:20:14 | 0:59:18
176
+ 5800 | 0 | 0.846823 | 0.886321 | 0.888474 | 0.846162 | -0.042312 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:20:55 | 0:58:36
177
+ 5850 | 0 | 0.887572 | 0.887276 | 0.933268 | 0.928705 | -0.004563 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:21:36 | 0:57:53
178
+ 5900 | 0 | 0.973436 | 0.888971 | 0.962077 | 0.936711 | -0.025366 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:22:16 | 0:57:10
179
+ 5950 | 0 | 0.768587 | 0.885846 | 0.884157 | 0.807949 | -0.076208 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:22:57 | 0:56:27
180
+ 6000 | 0 | 0.713596 | 0.883323 | 0.857197 | 0.797259 | -0.059938 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:23:37 | 0:55:45
181
+ [18:57:48] [TAM stats @ step 6000] mean=-0.0003 std=0.0029 max=0.1229 min=-0.0867 visits=47999
182
+ [18:57:53] Saved checkpoint -> RESULTS/coco/run_002/checkpoint-6000
183
+ [18:57:53] Generating 16 validation images ...
184
+ [18:58:06] Validation at step 6000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0006000.png
185
+ 6050 | 0 | 0.893184 | 0.883884 | 0.868386 | 0.850869 | -0.017517 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:24:35 | 0:55:14
186
+ 6100 | 0 | 0.838220 | 0.883650 | 0.917334 | 0.895081 | -0.022253 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:25:16 | 0:54:31
187
+ 6150 | 0 | 1.081391 | 0.884784 | 0.943713 | 0.958531 | 0.014818 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:25:57 | 0:53:48
188
+ 6200 | 0 | 0.781348 | 0.883646 | 0.837732 | 0.817093 | -0.020638 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:26:38 | 0:53:06
189
+ 6250 | 0 | 0.910863 | 0.883613 | 0.892424 | 0.840884 | -0.051540 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:27:18 | 0:52:23
190
+ 6300 | 0 | 0.763012 | 0.881383 | 0.823286 | 0.769701 | -0.053585 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:27:59 | 0:51:40
191
+ 6350 | 0 | 0.867689 | 0.880803 | 0.897243 | 0.862998 | -0.034245 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:28:40 | 0:50:58
192
+ 6400 | 0 | 0.828198 | 0.879748 | 0.803715 | 0.775378 | -0.028337 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:29:20 | 0:50:15
193
+ 6450 | 0 | 0.859940 | 0.879801 | 0.896189 | 0.831204 | -0.064985 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:30:01 | 0:49:33
194
+ 6500 | 0 | 0.866088 | 0.879843 | 0.916713 | 0.806486 | -0.110227 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:30:42 | 0:48:50
195
+ [19:04:53] [TAM stats @ step 6500] mean=-0.0003 std=0.0030 max=0.1229 min=-0.0867 visits=51999
196
+ 6550 | 0 | 0.921557 | 0.879358 | 0.857538 | 0.866192 | 0.008654 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:31:23 | 0:48:08
197
+ 6600 | 0 | 0.789842 | 0.877108 | 0.885118 | 0.789496 | -0.095622 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:32:03 | 0:47:25
198
+ 6650 | 0 | 0.949056 | 0.877887 | 0.961187 | 0.941207 | -0.019980 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:32:44 | 0:46:42
199
+ 6700 | 0 | 0.886743 | 0.876906 | 0.903412 | 0.884782 | -0.018630 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:33:24 | 0:46:00
200
+ 6750 | 0 | 0.987587 | 0.877757 | 0.953795 | 0.960252 | 0.006458 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:34:05 | 0:45:18
201
+ 6800 | 0 | 0.891929 | 0.878534 | 0.921977 | 0.883473 | -0.038504 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:34:45 | 0:44:35
202
+ 6850 | 0 | 0.776337 | 0.877101 | 0.842093 | 0.806323 | -0.035769 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:35:26 | 0:43:53
203
+ 6900 | 0 | 0.910598 | 0.877531 | 0.883554 | 0.842698 | -0.040856 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:36:07 | 0:43:11
204
+ 6950 | 0 | 0.852355 | 0.878862 | 0.873527 | 0.782560 | -0.090967 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:36:48 | 0:42:28
205
+ 7000 | 0 | 0.857277 | 0.878964 | 0.889248 | 0.864727 | -0.024521 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:37:28 | 0:41:46
206
+ [19:11:39] [TAM stats @ step 7000] mean=-0.0004 std=0.0031 max=0.1229 min=-0.0867 visits=55999
207
+ [19:11:39] Generating 16 validation images ...
208
+ [19:11:51] Validation at step 7000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0007000.png
209
+ 7050 | 0 | 1.106159 | 0.881001 | 0.833488 | 0.811633 | -0.021855 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:38:21 | 0:41:09
210
+ 7100 | 0 | 0.893079 | 0.880485 | 0.907629 | 0.871917 | -0.035712 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:39:02 | 0:40:27
211
+ 7150 | 0 | 0.987527 | 0.880072 | 0.990721 | 0.908712 | -0.082010 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:39:43 | 0:39:45
212
+ 7200 | 0 | 0.842460 | 0.880988 | 0.884276 | 0.868486 | -0.015789 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:40:24 | 0:39:02
213
+ 7250 | 0 | 0.774895 | 0.879513 | 0.782147 | 0.761612 | -0.020535 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:41:04 | 0:38:20
214
+ 7300 | 0 | 0.801283 | 0.879351 | 0.748098 | 0.775201 | 0.027103 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:41:45 | 0:37:38
215
+ 7350 | 0 | 0.772708 | 0.878365 | 0.829109 | 0.764371 | -0.064738 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:42:26 | 0:36:56
216
+ 7400 | 0 | 1.046178 | 0.879841 | 0.979677 | 0.990055 | 0.010378 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:43:07 | 0:36:13
217
+ 7450 | 0 | 0.868551 | 0.879517 | 0.897244 | 0.852868 | -0.044376 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:43:47 | 0:35:31
218
+ 7500 | 0 | 0.785652 | 0.878030 | 0.861114 | 0.759006 | -0.102108 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:44:28 | 0:34:49
219
+ [19:18:39] [TAM stats @ step 7500] mean=-0.0004 std=0.0033 max=0.1229 min=-0.0867 visits=59999
220
+ 7550 | 0 | 1.133538 | 0.878847 | 0.901734 | 0.847601 | -0.054134 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:45:09 | 0:34:07
221
+ 7600 | 0 | 1.122340 | 0.880125 | 0.945837 | 0.910077 | -0.035760 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:45:50 | 0:33:25
222
+ 7650 | 0 | 0.952719 | 0.881901 | 0.966788 | 0.932180 | -0.034608 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:46:30 | 0:32:43
223
+ 7700 | 0 | 1.079096 | 0.883952 | 0.854981 | 0.882539 | 0.027558 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:47:11 | 0:32:01
224
+ 7750 | 0 | 0.886596 | 0.883673 | 0.813924 | 0.808655 | -0.005269 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:47:52 | 0:31:19
225
+ 7800 | 0 | 1.075174 | 0.884912 | 0.891107 | 0.845747 | -0.045361 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:48:33 | 0:30:37
226
+ 7850 | 0 | 0.914963 | 0.885297 | 0.897184 | 0.804612 | -0.092572 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:49:13 | 0:29:54
227
+ 7900 | 0 | 0.914244 | 0.885337 | 0.947552 | 0.888659 | -0.058893 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:49:54 | 0:29:12
228
+ 7950 | 0 | 0.884920 | 0.885076 | 0.936409 | 0.895672 | -0.040737 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:50:35 | 0:28:30
229
+ 8000 | 0 | 0.921330 | 0.886958 | 0.870615 | 0.769949 | -0.100666 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:51:15 | 0:27:48
230
+ [19:25:26] [TAM stats @ step 8000] mean=-0.0004 std=0.0034 max=0.1229 min=-0.0867 visits=63999
231
+ [19:25:31] Saved checkpoint -> RESULTS/coco/run_002/checkpoint-8000
232
+ [19:25:32] Removed old checkpoint: checkpoint-2000
233
+ [19:25:32] Generating 16 validation images ...
234
+ [19:25:44] Validation at step 8000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0008000.png
235
+ 8050 | 0 | 0.953867 | 0.889482 | 0.937877 | 0.941396 | 0.003519 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:52:14 | 0:27:11
236
+ 8100 | 0 | 0.959706 | 0.890541 | 0.940668 | 0.864279 | -0.076389 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:52:55 | 0:26:29
237
+ 8150 | 0 | 0.916131 | 0.891657 | 0.915315 | 0.905054 | -0.010261 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:53:35 | 0:25:47
238
+ 8200 | 0 | 0.957119 | 0.892254 | 0.978109 | 0.962367 | -0.015742 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:54:16 | 0:25:05
239
+ 8250 | 0 | 0.830962 | 0.890877 | 0.832859 | 0.823887 | -0.008972 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:54:57 | 0:24:23
240
+ 8300 | 0 | 0.903132 | 0.890789 | 0.887051 | 0.850867 | -0.036184 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:55:37 | 0:23:41
241
+ 8350 | 0 | 0.886040 | 0.890693 | 0.914519 | 0.893496 | -0.021023 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:56:18 | 0:22:58
242
+ 8400 | 0 | 0.902084 | 0.890835 | 0.909913 | 0.886304 | -0.023609 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:56:58 | 0:22:16
243
+ 8450 | 0 | 0.890013 | 0.891247 | 0.948309 | 0.901494 | -0.046815 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 1:57:39 | 0:21:34
244
+ 8500 | 0 | 0.797744 | 0.890384 | 0.847868 | 0.780661 | -0.067206 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 1:58:20 | 0:20:53
245
+ [19:32:31] [TAM stats @ step 8500] mean=-0.0005 std=0.0035 max=0.1229 min=-0.0867 visits=67999
246
+ 8550 | 0 | 0.842399 | 0.890395 | 0.873286 | 0.830497 | -0.042790 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 1:59:01 | 0:20:11
247
+ 8600 | 0 | 0.856382 | 0.889734 | 0.900326 | 0.792012 | -0.108313 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 1:59:41 | 0:19:29
248
+ 8650 | 0 | 0.886059 | 0.890021 | 0.892992 | 0.901879 | 0.008887 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:00:22 | 0:18:47
249
+ 8700 | 0 | 0.903252 | 0.890732 | 0.863700 | 0.849207 | -0.014493 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:01:02 | 0:18:05
250
+ 8750 | 0 | 1.039712 | 0.891720 | 0.911896 | 0.864417 | -0.047480 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:01:43 | 0:17:23
251
+ 8800 | 0 | 0.935049 | 0.892139 | 0.860392 | 0.897181 | 0.036789 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:02:24 | 0:16:41
252
+ 8850 | 0 | 0.803559 | 0.891432 | 0.830234 | 0.801918 | -0.028316 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:03:04 | 0:15:59
253
+ 8900 | 0 | 0.731640 | 0.889841 | 0.777436 | 0.726764 | -0.050672 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:03:45 | 0:15:17
254
+ 8950 | 0 | 0.930057 | 0.890086 | 0.935528 | 0.917688 | -0.017839 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:04:25 | 0:14:35
255
+ 9000 | 0 | 0.898502 | 0.888680 | 0.920144 | 0.854858 | -0.065286 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:05:06 | 0:13:54
256
+ [19:39:16] [TAM stats @ step 9000] mean=-0.0005 std=0.0036 max=0.1229 min=-0.0867 visits=71999
257
+ [19:39:16] Generating 16 validation images ...
258
+ [19:39:29] Validation at step 9000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0009000.png
259
+ 9050 | 0 | 0.861444 | 0.889150 | 0.857695 | 0.873871 | 0.016176 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:05:59 | 0:13:13
260
+ 9100 | 0 | 0.899420 | 0.889328 | 0.924903 | 0.811955 | -0.112947 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:06:39 | 0:12:31
261
+ 9150 | 0 | 0.947408 | 0.890619 | 0.857902 | 0.835845 | -0.022057 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:07:20 | 0:11:49
262
+ 9200 | 0 | 0.813026 | 0.890266 | 0.860749 | 0.790864 | -0.069886 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:08:01 | 0:11:07
263
+ 9250 | 0 | 1.005064 | 0.893315 | 0.955120 | 0.978465 | 0.023345 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:08:41 | 0:10:26
264
+ 9300 | 0 | 0.970521 | 0.893988 | 0.957659 | 0.933491 | -0.024168 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:09:22 | 0:09:44
265
+ 9350 | 0 | 0.982061 | 0.894139 | 0.867497 | 0.806670 | -0.060827 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:10:02 | 0:09:02
266
+ 9400 | 0 | 0.893601 | 0.893857 | 0.862997 | 0.824844 | -0.038153 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:10:43 | 0:08:20
267
+ 9450 | 0 | 0.855921 | 0.893453 | 0.909655 | 0.799945 | -0.109710 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:11:23 | 0:07:38
268
+ 9500 | 0 | 0.995904 | 0.895437 | 0.889581 | 0.876450 | -0.013131 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:12:04 | 0:06:57
269
+ [19:46:15] [TAM stats @ step 9500] mean=-0.0005 std=0.0037 max=0.1229 min=-0.0867 visits=75999
270
+ 9550 | 0 | 0.750860 | 0.894044 | 0.801435 | 0.784393 | -0.017042 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:12:45 | 0:06:15
271
+ 9600 | 0 | 0.949875 | 0.895436 | 0.864333 | 0.857624 | -0.006709 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:13:26 | 0:05:33
272
+ 9650 | 0 | 0.958481 | 0.896303 | 0.941940 | 0.872464 | -0.069476 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:14:06 | 0:04:51
273
+ 9700 | 0 | 0.712861 | 0.895203 | 0.819773 | 0.726837 | -0.092936 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:14:47 | 0:04:10
274
+ 9750 | 0 | 0.919242 | 0.895405 | 0.917034 | 0.879201 | -0.037833 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:15:28 | 0:03:28
275
+ 9800 | 0 | 0.967328 | 0.897628 | 0.940117 | 0.894093 | -0.046024 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:16:08 | 0:02:46
276
+ 9850 | 0 | 0.790210 | 0.897498 | 0.815687 | 0.790306 | -0.025381 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:16:49 | 0:02:05
277
+ 9900 | 0 | 0.830833 | 0.895974 | 0.820591 | 0.759570 | -0.061021 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:17:29 | 0:01:23
278
+ 9950 | 0 | 0.879620 | 0.894528 | 0.905959 | 0.828772 | -0.077187 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:18:10 | 0:00:41
279
+ 10000 | 0 | 0.953772 | 0.895115 | 0.968763 | 0.955740 | -0.013023 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:18:50 | 0:00:00
280
+ [19:53:01] [TAM stats @ step 10000] mean=-0.0005 std=0.0038 max=0.1229 min=-0.0867 visits=79999
281
+ [19:53:06] Saved checkpoint -> RESULTS/coco/run_002/checkpoint-10000
282
+ [19:53:07] Removed old checkpoint: checkpoint-4000
283
+ [19:53:07] Generating 16 validation images ...
284
+ [19:53:20] Validation at step 10000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0010000.png
285
+ [19:53:20] --- Epoch 0 complete | Steps: 10000 | Avg Loss: 0.893005 ---
286
+ [19:53:20] Saving final model ...
287
+ [19:53:28] Pipeline saved -> RESULTS/coco/run_002
288
+ [19:53:28] TAM scores saved -> RESULTS/coco/run_002/tam_final.pt
289
+ [19:53:28] Final TAM stats: {'mean_score': -0.0005285770748741925, 'std_score': 0.0037795333191752434, 'max_score': 0.1228780522942543, 'min_score': -0.08670492470264435, 'total_visits': 79999}
290
+ [19:53:28] Generating final validation collage ...
291
+ [19:53:28] Generating 16 validation images ...
292
+ [19:53:41] Validation at step 10000: 16 images -> RESULTS/coco/run_002/validation/collage_step_0010000.png
293
+ [19:53:41]
294
+ [19:53:41] ============================================================
295
+ [19:53:41] TRAINING SUMMARY
296
+ [19:53:41] ============================================================
297
+ [19:53:41] Total steps : 200
298
+ [19:53:41] Final loss : 0.953772
299
+ [19:53:41] Avg last 100 : 0.895115
300
+ [19:53:41] Min loss : 0.700140
301
+ [19:53:41] Total time : 2:19:30
302
+ [19:53:41] Output : RESULTS/coco/run_002
303
+ [19:53:41] ============================================================
coco/sana 0.6/RAD/training_args.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers",
3
+ "revision": null,
4
+ "variant": null,
5
+ "cache_dir": null,
6
+ "data_dir": "../data/coco",
7
+ "caption_file_train": "caption_train.json",
8
+ "caption_file_val": "caption_val.json",
9
+ "images_dir": "images",
10
+ "max_captions_per_image": 5,
11
+ "results_root": "RESULTS",
12
+ "seed": 42,
13
+ "resolution": 512,
14
+ "train_batch_size": 8,
15
+ "max_train_steps": 10000,
16
+ "num_train_epochs": 1,
17
+ "gradient_accumulation_steps": 1,
18
+ "gradient_checkpointing": true,
19
+ "learning_rate": 0.0001,
20
+ "scale_lr": false,
21
+ "lr_scheduler": "constant_with_warmup",
22
+ "lr_warmup_steps": 500,
23
+ "lr_num_cycles": 1,
24
+ "optimizer": "AdamW",
25
+ "adam_beta1": 0.9,
26
+ "adam_beta2": 0.999,
27
+ "adam_weight_decay": 0.01,
28
+ "adam_epsilon": 1e-08,
29
+ "max_grad_norm": 1.0,
30
+ "mixed_precision": "bf16",
31
+ "allow_tf32": false,
32
+ "checkpointing_steps": 2000,
33
+ "checkpoints_total_limit": 3,
34
+ "resume_from_checkpoint": null,
35
+ "validation_steps": 1000,
36
+ "validation_prompts_file": null,
37
+ "log_every_n_steps": 50,
38
+ "weighting_scheme": "logit_normal",
39
+ "logit_mean": 0.0,
40
+ "logit_std": 1.0,
41
+ "mode_scale": 1.29,
42
+ "max_sequence_length": 300,
43
+ "advantage_temperature": 0.1,
44
+ "curriculum_steps": 5000,
45
+ "max_timestep_delta": 300,
46
+ "use_tam": true,
47
+ "tam_alpha": 0.9,
48
+ "tam_factor": 0.5,
49
+ "tam_log_steps": 500,
50
+ "use_sad": true,
51
+ "sad_temperature": 0.5,
52
+ "dataloader_num_workers": 4,
53
+ "pin_memory": false,
54
+ "output_dir": "RESULTS/coco/run_002"
55
+ }
coco/sana 0.6/RAD/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_steps": 200,
3
+ "final_loss": 0.9537719488143921,
4
+ "avg_last_100": 0.895115082859993,
5
+ "min_loss": 0.7001403570175171,
6
+ "total_time": "2:19:30"
7
+ }
coco/sana 1.6/RAD/Eval/generated_images/rank_0/000006.png ADDED

Git LFS Details

  • SHA256: 3879463cb3e6f2cda413e5f90cad5e5e38360fcf793820d5d3cfc19e6224b03b
  • Pointer size: 131 Bytes
  • Size of remote file: 365 kB
coco/sana 1.6/RAD/Eval/generated_images/rank_0/000154.png ADDED

Git LFS Details

  • SHA256: 69991abbd1f6a51f40d78fa086c7c4711d548a97bf05f7d5689c204e8e47003e
  • Pointer size: 131 Bytes
  • Size of remote file: 351 kB
coco/sana 1.6/RAD/Eval/generated_images/rank_0/000155.png ADDED

Git LFS Details

  • SHA256: 0d1a6435648f886d0a1ca870314e82678212a1378a6b5cdd609bcb27591e6856
  • Pointer size: 131 Bytes
  • Size of remote file: 383 kB
coco/sana 1.6/RAD/Eval/generated_images/rank_0/000204.png ADDED

Git LFS Details

  • SHA256: 370055af4603cbd673c436c3b9e2b023c35e06a3719326a5a2a95db7f8cf4e31
  • Pointer size: 131 Bytes
  • Size of remote file: 585 kB
coco/sana 1.6/RAD/Eval/generated_images/rank_0/000592.png ADDED

Git LFS Details

  • SHA256: 40b162a5485cce8afaf812712ffa9e36e4ef29c63c5956ce6d69f53ac2853b5e
  • Pointer size: 131 Bytes
  • Size of remote file: 415 kB
coco/sana 1.6/RAD/Eval/generated_images/rank_0/000715.png ADDED

Git LFS Details

  • SHA256: 5a0399c88bd4509d87231549b01432a4dcfa0a1d87fc5a2fc32df539c9f6cc0d
  • Pointer size: 131 Bytes
  • Size of remote file: 441 kB
coco/sana 1.6/RAD/Eval/generated_images/rank_0/000801.png ADDED

Git LFS Details

  • SHA256: dc9f56fcc3ceb12aad525ec266e94146f31e99472b965351e441da60f8ded76d
  • Pointer size: 131 Bytes
  • Size of remote file: 469 kB
coco/sana 1.6/RAD/Eval/generated_images/rank_0/000918.png ADDED

Git LFS Details

  • SHA256: eb689db56d638e9a140102c1c30f62a45b60bdedd6fd24c38617bdb752d0916b
  • Pointer size: 131 Bytes
  • Size of remote file: 379 kB
coco/sana 1.6/RAD/Eval/generated_images/rank_0/000928.png ADDED

Git LFS Details

  • SHA256: 68155d4d05b3d9c9a75dc33e5b1843bc96ac690decc9598976202b308ff0178e
  • Pointer size: 131 Bytes
  • Size of remote file: 474 kB
coco/sana 1.6/RAD/Eval/generated_images/rank_0/001143.png ADDED

Git LFS Details

  • SHA256: d4f44d6c0cfdb7af9aadca2240995adef15e7a0c6a17ac7393bde4a1d1479b18
  • Pointer size: 131 Bytes
  • Size of remote file: 351 kB