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  1. flicker8k/pixart_sigma/Baseline/checkpoint-10000/transformer/config.json +30 -0
  2. flicker8k/pixart_sigma/RAD/checkpoint-10000/transformer/config.json +30 -0
  3. flicker8k/pixart_sigma/RAD/checkpoint-6000/transformer/config.json +30 -0
  4. flicker8k/pixart_sigma/RAD/checkpoint-8000/transformer/config.json +30 -0
  5. flicker8k/pixart_sigma/RAD/scheduler/scheduler_config.json +32 -0
  6. flicker8k/pixart_sigma/RAD/text_encoder/config.json +33 -0
  7. flicker8k/pixart_sigma/RAD/transformer/config.json +30 -0
  8. flicker8k/pixart_sigma/RAD/vae/config.json +38 -0
  9. flicker8k/sana 0.6/Baseline/model_index.json +24 -0
  10. flicker8k/sana 0.6/Baseline/tokenizer/tokenizer_config.json +20 -0
  11. flicker8k/sana 0.6/Baseline/training.log +272 -0
  12. flicker8k/sana 0.6/Baseline/training_args.json +46 -0
  13. flicker8k/sana 0.6/Baseline/training_summary.json +7 -0
  14. flicker8k/sana 0.6/RAD/model_index.json +24 -0
  15. flicker8k/sana 0.6/RAD/training.log +305 -0
  16. flicker8k/sana 0.6/RAD/training_summary.json +7 -0
  17. flicker8k/sana 0.6/SRA/checkpoint-10000/transformer/config.json +26 -0
  18. flicker8k/sana 0.6/SRA/model_index.json +24 -0
  19. flicker8k/sana 0.6/SRA/scheduler/scheduler_config.json +40 -0
  20. flicker8k/sana 0.6/SRA/text_encoder/config.json +68 -0
  21. flicker8k/sana 0.6/SRA/tokenizer/chat_template.jinja +4 -0
  22. flicker8k/sana 0.6/SRA/tokenizer/tokenizer_config.json +20 -0
  23. flicker8k/sana 0.6/SRA/training.log +280 -0
  24. flicker8k/sana 0.6/SRA/training_args.json +58 -0
  25. flicker8k/sana 0.6/SRA/training_summary.json +7 -0
  26. flicker8k/sana 0.6/SRA/transformer/config.json +26 -0
  27. flicker8k/sana 0.6/SRA/vae/config.json +92 -0
  28. flicker8k/sana 0.6/SpeeD/checkpoint-10000/transformer/config.json +26 -0
  29. flicker8k/sana 0.6/SpeeD/model_index.json +24 -0
  30. flicker8k/sana 0.6/SpeeD/scheduler/scheduler_config.json +40 -0
  31. flicker8k/sana 0.6/SpeeD/text_encoder/config.json +68 -0
  32. flicker8k/sana 0.6/SpeeD/tokenizer/chat_template.jinja +4 -0
  33. flicker8k/sana 0.6/SpeeD/tokenizer/tokenizer_config.json +20 -0
  34. flicker8k/sana 0.6/SpeeD/training.log +274 -0
  35. flicker8k/sana 0.6/SpeeD/training_args.json +50 -0
  36. flicker8k/sana 0.6/SpeeD/training_summary.json +7 -0
  37. flicker8k/sana 0.6/SpeeD/transformer/config.json +26 -0
  38. flicker8k/sana 0.6/SpeeD/vae/config.json +92 -0
  39. flicker8k/sana 0.6/TD/checkpoint-10000/transformer/config.json +26 -0
  40. flicker8k/sana 0.6/TD/model_index.json +24 -0
  41. flicker8k/sana 0.6/TD/scheduler/scheduler_config.json +40 -0
  42. flicker8k/sana 0.6/TD/text_encoder/config.json +68 -0
  43. flicker8k/sana 0.6/TD/tokenizer/chat_template.jinja +4 -0
  44. flicker8k/sana 0.6/TD/tokenizer/tokenizer_config.json +20 -0
  45. flicker8k/sana 0.6/TD/training.log +474 -0
  46. flicker8k/sana 0.6/TD/training_args.json +58 -0
  47. flicker8k/sana 0.6/TD/training_summary.json +7 -0
  48. flicker8k/sana 0.6/TD/transformer/config.json +26 -0
  49. flicker8k/sana 0.6/TD/vae/config.json +92 -0
  50. flicker8k/sana 1.6/Baseline/model_index.json +24 -0
flicker8k/pixart_sigma/Baseline/checkpoint-10000/transformer/config.json ADDED
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+ {
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+ "_class_name": "PixArtTransformer2DModel",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "activation_fn": "gelu-approximate",
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+ "use_linear_projection": false
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+ }
flicker8k/pixart_sigma/RAD/checkpoint-10000/transformer/config.json ADDED
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+ {
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+ "_class_name": "PixArtTransformer2DModel",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "sample_size": 64,
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+ "upcast_attention": false,
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+ "use_additional_conditions": null,
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+ "use_linear_projection": false
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+ }
flicker8k/pixart_sigma/RAD/checkpoint-6000/transformer/config.json ADDED
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+ {
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+ "_class_name": "PixArtTransformer2DModel",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "activation_fn": "gelu-approximate",
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+ "attention_bias": true,
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+ "caption_channels": 4096,
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+ "norm_elementwise_affine": false,
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+ "sample_size": 64,
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+ "upcast_attention": false,
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+ "use_additional_conditions": null,
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+ "use_linear_projection": false
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+ }
flicker8k/pixart_sigma/RAD/checkpoint-8000/transformer/config.json ADDED
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+ {
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+ "_class_name": "PixArtTransformer2DModel",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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flicker8k/pixart_sigma/RAD/scheduler/scheduler_config.json ADDED
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+ {
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+ "_class_name": "DPMSolverMultistepScheduler",
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+ "algorithm_type": "dpmsolver++",
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+ "dynamic_thresholding_ratio": 0.995,
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+ "lambda_min_clipped": -Infinity,
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+ "lower_order_final": true,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "epsilon",
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+ "rescale_betas_zero_snr": false,
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+ "sample_max_value": 1.0,
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+ "solver_type": "midpoint",
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+ "use_lu_lambdas": false,
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+ "variance_type": null
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+ }
flicker8k/pixart_sigma/RAD/text_encoder/config.json ADDED
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+ {
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+ "architectures": [
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+ "T5EncoderModel"
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_ff": 10240,
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+ "use_cache": false,
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+ "vocab_size": 32128
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+ }
flicker8k/pixart_sigma/RAD/transformer/config.json ADDED
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+ {
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+ "_class_name": "PixArtTransformer2DModel",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ }
flicker8k/pixart_sigma/RAD/vae/config.json ADDED
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+ {
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+ "_class_name": "AutoencoderKL",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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+ "act_fn": "silu",
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+ 256,
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+ 512,
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+ 512
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D",
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D"
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+ ],
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+ "use_post_quant_conv": true,
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+ "use_quant_conv": true
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+ }
flicker8k/sana 0.6/Baseline/model_index.json ADDED
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+ {
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+ "_class_name": "SanaPipeline",
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+ "_diffusers_version": "0.37.1",
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+ "scheduler": [
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+ "diffusers",
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+ "FlowMatchEulerDiscreteScheduler"
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+ ],
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+ "text_encoder": [
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+ "transformers",
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+ "Gemma2Model"
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+ ],
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+ "tokenizer": [
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+ "transformers",
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+ "GemmaTokenizer"
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+ ],
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+ "transformer": [
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+ "diffusers",
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+ "SanaTransformer2DModel"
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+ ],
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+ "vae": [
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+ "diffusers",
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+ "AutoencoderDC"
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+ ]
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+ }
flicker8k/sana 0.6/Baseline/tokenizer/tokenizer_config.json ADDED
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+ {
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+ "backend": "tokenizers",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<eos>",
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+ "extra_special_tokens": [
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+ "<start_of_turn>",
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+ "<end_of_turn>"
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+ "is_local": false,
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+ "mask_token": "<mask>",
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "<pad>",
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "GemmaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }
flicker8k/sana 0.6/Baseline/training.log ADDED
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1
+ Training started: 2026-07-29 11:43:10
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [11:43:10] Run directory: RESULTS/flicker8k/run_002
6
+ [11:43:10] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility
7
+ [11:43:10] Loading pretrained SANA components ...
8
+ [11:43:27] Transformer params: 591,747,872 total, 591,747,872 trainable
9
+ [11:43:27] Building dataset ...
10
+ [11:43:27] Step-based training: 10000 steps (~3 epochs over dataset)
11
+ [11:43:28]
12
+ [11:43:28] ================================================================
13
+ [11:43:28] Output dir = RESULTS/flicker8k/run_002
14
+ [11:43:28] Num examples = 28315
15
+ [11:43:28] Num epochs = 3
16
+ [11:43:28] Batch/device = 8
17
+ [11:43:28] Grad accum = 1
18
+ [11:43:28] Effective BS = 8
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+ [11:43:28] Total optim steps = 10000
20
+ [11:43:28] LR = 0.0001
21
+ [11:43:28] Precision = bf16
22
+ [11:43:28] Log every = 50 steps
23
+ [11:43:28] Validate every = 1000 steps
24
+ [11:43:28] Checkpoint every = 2000 steps
25
+ [11:43:28] ================================================================
26
+ [11:43:28]
27
+ 50 | 0 | 0.966990 | 0.966990 | 1.00e-05 | 0:00:50 | 2:47:04
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+ 250 | 0 | 0.889368 | 0.925817 | 5.00e-05 | 0:02:57 | 1:55:19
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+ 300 | 0 | 0.892826 | 0.920319 | 6.00e-05 | 0:03:29 | 1:52:45
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+ 350 | 0 | 0.962768 | 0.926383 | 7.00e-05 | 0:04:01 | 1:50:46
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+ 400 | 0 | 0.848366 | 0.916631 | 8.00e-05 | 0:04:32 | 1:49:08
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+ 450 | 0 | 0.908339 | 0.915710 | 9.00e-05 | 0:05:04 | 1:47:44
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+ 500 | 0 | 1.008880 | 0.925027 | 1.00e-04 | 0:05:36 | 1:46:30
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+ 550 | 0 | 0.992180 | 0.931131 | 1.00e-04 | 0:06:08 | 1:45:25
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+ 600 | 0 | 1.048567 | 0.940918 | 1.00e-04 | 0:06:39 | 1:44:26
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+ 650 | 0 | 0.971594 | 0.943277 | 9.99e-05 | 0:07:11 | 1:43:31
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+ 750 | 0 | 0.907371 | 0.942799 | 9.98e-05 | 0:08:15 | 1:41:50
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+ 800 | 0 | 0.878053 | 0.938753 | 9.98e-05 | 0:08:47 | 1:41:04
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+ 850 | 0 | 0.952082 | 0.939537 | 9.97e-05 | 0:09:19 | 1:40:19
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+ 900 | 0 | 0.868740 | 0.935604 | 9.96e-05 | 0:09:50 | 1:39:35
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+ 950 | 0 | 1.007064 | 0.939365 | 9.94e-05 | 0:10:22 | 1:38:52
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+ 1000 | 0 | 0.821256 | 0.933459 | 9.93e-05 | 0:10:54 | 1:38:11
47
+ [11:54:05] Generating 16 validation images ...
48
+ [11:54:18] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0001000.png
49
+ 1050 | 0 | 0.875285 | 0.930689 | 9.92e-05 | 0:11:39 | 1:39:25
50
+ 1100 | 0 | 0.817875 | 0.925561 | 9.90e-05 | 0:12:11 | 1:38:39
51
+ 1150 | 0 | 0.894363 | 0.924205 | 9.88e-05 | 0:12:43 | 1:37:54
52
+ 1200 | 0 | 0.949778 | 0.925270 | 9.87e-05 | 0:13:15 | 1:37:11
53
+ 1250 | 0 | 0.996285 | 0.928111 | 9.85e-05 | 0:13:46 | 1:36:28
54
+ 1300 | 0 | 1.004593 | 0.931053 | 9.83e-05 | 0:14:18 | 1:35:46
55
+ 1350 | 0 | 0.828601 | 0.927258 | 9.80e-05 | 0:14:50 | 1:35:05
56
+ 1400 | 0 | 1.018958 | 0.930533 | 9.78e-05 | 0:15:22 | 1:34:25
57
+ 1450 | 0 | 0.862412 | 0.928184 | 9.76e-05 | 0:15:54 | 1:33:45
58
+ 1500 | 0 | 0.918637 | 0.927866 | 9.73e-05 | 0:16:25 | 1:33:06
59
+ 1550 | 0 | 0.995984 | 0.930063 | 9.70e-05 | 0:16:57 | 1:32:27
60
+ 1600 | 0 | 0.951119 | 0.930721 | 9.67e-05 | 0:17:29 | 1:31:49
61
+ 1650 | 0 | 0.906710 | 0.929994 | 9.64e-05 | 0:18:01 | 1:31:11
62
+ 1700 | 0 | 0.996490 | 0.931949 | 9.61e-05 | 0:18:33 | 1:30:34
63
+ 1750 | 0 | 1.007522 | 0.934109 | 9.58e-05 | 0:19:04 | 1:29:57
64
+ 1800 | 0 | 0.824415 | 0.931061 | 9.55e-05 | 0:19:36 | 1:29:21
65
+ 1850 | 0 | 0.964752 | 0.931972 | 9.51e-05 | 0:20:08 | 1:28:44
66
+ 1900 | 0 | 0.951597 | 0.932488 | 9.47e-05 | 0:20:40 | 1:28:08
67
+ 1950 | 0 | 1.003799 | 0.934317 | 9.44e-05 | 0:21:12 | 1:27:32
68
+ 2000 | 0 | 0.881489 | 0.932996 | 9.40e-05 | 0:21:44 | 1:26:56
69
+ [12:05:00] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-2000
70
+ [12:05:00] Generating 16 validation images ...
71
+ [12:05:12] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0002000.png
72
+ 2050 | 0 | 0.916669 | 0.932598 | 9.36e-05 | 0:22:33 | 1:27:29
73
+ 2100 | 0 | 0.763147 | 0.928563 | 9.32e-05 | 0:23:05 | 1:26:52
74
+ 2150 | 0 | 0.909806 | 0.928127 | 9.27e-05 | 0:23:37 | 1:26:15
75
+ 2200 | 0 | 0.880959 | 0.927055 | 9.23e-05 | 0:24:09 | 1:25:38
76
+ 2250 | 0 | 0.878697 | 0.925981 | 9.19e-05 | 0:24:41 | 1:25:01
77
+ 2300 | 0 | 0.916777 | 0.925781 | 9.14e-05 | 0:25:12 | 1:24:25
78
+ 2350 | 0 | 0.918437 | 0.925624 | 9.09e-05 | 0:25:44 | 1:23:48
79
+ 2400 | 0 | 0.902655 | 0.925146 | 9.05e-05 | 0:26:16 | 1:23:12
80
+ 2450 | 0 | 0.903101 | 0.924696 | 9.00e-05 | 0:26:48 | 1:22:36
81
+ 2500 | 0 | 0.981313 | 0.925828 | 8.95e-05 | 0:27:20 | 1:22:00
82
+ 2550 | 0 | 0.997173 | 0.927227 | 8.89e-05 | 0:27:52 | 1:21:25
83
+ 2600 | 0 | 0.862918 | 0.925990 | 8.84e-05 | 0:28:23 | 1:20:49
84
+ 2650 | 0 | 0.849047 | 0.924539 | 8.79e-05 | 0:28:55 | 1:20:14
85
+ 2700 | 0 | 0.921375 | 0.924480 | 8.73e-05 | 0:29:27 | 1:19:39
86
+ 2750 | 0 | 0.855043 | 0.923218 | 8.68e-05 | 0:29:59 | 1:19:03
87
+ 2800 | 0 | 0.906158 | 0.922913 | 8.62e-05 | 0:30:31 | 1:18:28
88
+ 2850 | 0 | 0.979826 | 0.923911 | 8.56e-05 | 0:31:03 | 1:17:54
89
+ 2900 | 0 | 1.011460 | 0.925421 | 8.51e-05 | 0:31:34 | 1:17:19
90
+ 2950 | 0 | 0.933732 | 0.925562 | 8.45e-05 | 0:32:06 | 1:16:44
91
+ 3000 | 0 | 0.827587 | 0.923929 | 8.39e-05 | 0:32:38 | 1:16:09
92
+ [12:15:49] Generating 16 validation images ...
93
+ [12:16:01] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0003000.png
94
+ 3050 | 0 | 0.906221 | 0.923639 | 8.33e-05 | 0:33:23 | 1:16:04
95
+ 3100 | 0 | 0.947467 | 0.924023 | 8.26e-05 | 0:33:54 | 1:15:29
96
+ 3150 | 0 | 1.055543 | 0.926110 | 8.20e-05 | 0:34:26 | 1:14:54
97
+ 3200 | 0 | 0.934665 | 0.926244 | 8.14e-05 | 0:34:58 | 1:14:19
98
+ 3250 | 0 | 0.876219 | 0.925475 | 8.07e-05 | 0:35:30 | 1:13:44
99
+ 3300 | 0 | 1.015517 | 0.926839 | 8.01e-05 | 0:36:02 | 1:13:09
100
+ 3350 | 0 | 0.880714 | 0.926150 | 7.94e-05 | 0:36:33 | 1:12:35
101
+ 3400 | 0 | 0.940162 | 0.926356 | 7.87e-05 | 0:37:05 | 1:12:00
102
+ 3450 | 0 | 0.906785 | 0.926073 | 7.80e-05 | 0:37:37 | 1:11:26
103
+ 3500 | 0 | 0.940577 | 0.926280 | 7.73e-05 | 0:38:09 | 1:10:51
104
+ [12:21:45] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.920844 ---
105
+ 3550 | 1 | 0.905125 | 0.925982 | 7.67e-05 | 0:38:41 | 1:10:17
106
+ 3600 | 1 | 0.943489 | 0.926225 | 7.59e-05 | 0:39:12 | 1:09:43
107
+ 3650 | 1 | 0.920321 | 0.926144 | 7.52e-05 | 0:39:44 | 1:09:08
108
+ 3700 | 1 | 1.034655 | 0.927611 | 7.45e-05 | 0:40:16 | 1:08:34
109
+ 3750 | 1 | 1.051531 | 0.929263 | 7.38e-05 | 0:40:48 | 1:08:00
110
+ 3800 | 1 | 0.873538 | 0.928530 | 7.31e-05 | 0:41:20 | 1:07:26
111
+ 3850 | 1 | 0.913307 | 0.928332 | 7.23e-05 | 0:41:52 | 1:06:52
112
+ 3900 | 1 | 0.789364 | 0.926550 | 7.16e-05 | 0:42:23 | 1:06:19
113
+ 3950 | 1 | 0.881733 | 0.925983 | 7.08e-05 | 0:42:55 | 1:05:45
114
+ 4000 | 1 | 0.878546 | 0.925390 | 7.01e-05 | 0:43:27 | 1:05:11
115
+ [12:26:43] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-4000
116
+ [12:26:43] Generating 16 validation images ...
117
+ [12:26:55] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0004000.png
118
+ 4050 | 1 | 0.940658 | 0.925579 | 6.93e-05 | 0:44:16 | 1:05:03
119
+ 4100 | 1 | 0.923247 | 0.925550 | 6.86e-05 | 0:44:48 | 1:04:28
120
+ 4150 | 1 | 0.920137 | 0.925485 | 6.78e-05 | 0:45:20 | 1:03:54
121
+ 4200 | 1 | 0.870476 | 0.924830 | 6.70e-05 | 0:45:52 | 1:03:20
122
+ 4250 | 1 | 0.869251 | 0.924176 | 6.62e-05 | 0:46:24 | 1:02:46
123
+ 4300 | 1 | 0.859401 | 0.923423 | 6.55e-05 | 0:46:55 | 1:02:12
124
+ 4350 | 1 | 0.979566 | 0.924068 | 6.47e-05 | 0:47:27 | 1:01:38
125
+ 4400 | 1 | 0.892505 | 0.923710 | 6.39e-05 | 0:47:59 | 1:01:04
126
+ 4450 | 1 | 0.897322 | 0.923413 | 6.31e-05 | 0:48:31 | 1:00:31
127
+ 4500 | 1 | 0.925317 | 0.923434 | 6.23e-05 | 0:49:03 | 0:59:57
128
+ 4550 | 1 | 0.942460 | 0.923643 | 6.15e-05 | 0:49:35 | 0:59:23
129
+ 4600 | 1 | 0.883639 | 0.923209 | 6.07e-05 | 0:50:06 | 0:58:49
130
+ 4650 | 1 | 0.957422 | 0.923576 | 5.99e-05 | 0:50:38 | 0:58:16
131
+ 4700 | 1 | 0.953948 | 0.923900 | 5.90e-05 | 0:51:10 | 0:57:42
132
+ 4750 | 1 | 0.836183 | 0.922976 | 5.82e-05 | 0:51:42 | 0:57:09
133
+ 4800 | 1 | 0.934635 | 0.923098 | 5.74e-05 | 0:52:14 | 0:56:35
134
+ 4850 | 1 | 0.983249 | 0.923718 | 5.66e-05 | 0:52:46 | 0:56:01
135
+ 4900 | 1 | 0.943541 | 0.923920 | 5.58e-05 | 0:53:17 | 0:55:28
136
+ 4950 | 1 | 0.911964 | 0.923799 | 5.50e-05 | 0:53:49 | 0:54:55
137
+ 5000 | 1 | 0.922273 | 0.923784 | 5.41e-05 | 0:54:21 | 0:54:21
138
+ [12:37:32] Generating 16 validation images ...
139
+ [12:37:44] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0005000.png
140
+ 5050 | 1 | 0.816272 | 0.922277 | 5.33e-05 | 0:55:06 | 0:54:00
141
+ 5100 | 1 | 0.966197 | 0.922764 | 5.25e-05 | 0:55:37 | 0:53:26
142
+ 5150 | 1 | 1.020727 | 0.923634 | 5.17e-05 | 0:56:09 | 0:52:53
143
+ 5200 | 1 | 0.987659 | 0.924295 | 5.08e-05 | 0:56:41 | 0:52:19
144
+ 5250 | 1 | 0.904137 | 0.924443 | 5.00e-05 | 0:57:13 | 0:51:46
145
+ 5300 | 1 | 0.816672 | 0.923682 | 4.92e-05 | 0:57:45 | 0:51:12
146
+ 5350 | 1 | 0.946460 | 0.923518 | 4.83e-05 | 0:58:16 | 0:50:39
147
+ 5400 | 1 | 1.027014 | 0.925305 | 4.75e-05 | 0:58:48 | 0:50:06
148
+ 5450 | 1 | 0.678648 | 0.923008 | 4.67e-05 | 0:59:20 | 0:49:32
149
+ 5500 | 1 | 0.956775 | 0.922487 | 4.59e-05 | 0:59:52 | 0:48:59
150
+ 5550 | 1 | 0.802556 | 0.920591 | 4.50e-05 | 1:00:24 | 0:48:26
151
+ 5600 | 1 | 0.777603 | 0.917881 | 4.42e-05 | 1:00:56 | 0:47:52
152
+ 5650 | 1 | 0.905935 | 0.917224 | 4.34e-05 | 1:01:28 | 0:47:19
153
+ 5700 | 1 | 0.902797 | 0.916532 | 4.26e-05 | 1:01:59 | 0:46:46
154
+ 5750 | 1 | 0.845786 | 0.915916 | 4.18e-05 | 1:02:31 | 0:46:13
155
+ 5800 | 1 | 0.948011 | 0.916616 | 4.10e-05 | 1:03:03 | 0:45:39
156
+ 5850 | 1 | 0.927881 | 0.916374 | 4.01e-05 | 1:03:35 | 0:45:06
157
+ 5900 | 1 | 0.971198 | 0.917399 | 3.93e-05 | 1:04:07 | 0:44:33
158
+ 5950 | 1 | 0.985979 | 0.917188 | 3.85e-05 | 1:04:39 | 0:44:00
159
+ 6000 | 1 | 0.975363 | 0.918729 | 3.77e-05 | 1:05:10 | 0:43:27
160
+ [12:48:26] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-6000
161
+ [12:48:26] Generating 16 validation images ...
162
+ [12:48:38] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0006000.png
163
+ 6050 | 1 | 0.961420 | 0.919590 | 3.69e-05 | 1:05:59 | 0:43:05
164
+ 6100 | 1 | 0.928926 | 0.920701 | 3.61e-05 | 1:06:31 | 0:42:31
165
+ 6150 | 1 | 0.888329 | 0.920640 | 3.53e-05 | 1:07:03 | 0:41:58
166
+ 6200 | 1 | 0.818887 | 0.919331 | 3.45e-05 | 1:07:35 | 0:41:25
167
+ 6250 | 1 | 0.814528 | 0.917514 | 3.38e-05 | 1:08:06 | 0:40:52
168
+ 6300 | 1 | 0.928902 | 0.916757 | 3.30e-05 | 1:08:38 | 0:40:18
169
+ 6350 | 1 | 0.807111 | 0.916542 | 3.22e-05 | 1:09:10 | 0:39:45
170
+ 6400 | 1 | 0.838433 | 0.914737 | 3.14e-05 | 1:09:42 | 0:39:12
171
+ 6450 | 1 | 0.971195 | 0.915825 | 3.07e-05 | 1:10:14 | 0:38:39
172
+ 6500 | 1 | 0.924131 | 0.915880 | 2.99e-05 | 1:10:45 | 0:38:06
173
+ 6550 | 1 | 0.938967 | 0.915309 | 2.92e-05 | 1:11:17 | 0:37:33
174
+ 6600 | 1 | 0.927926 | 0.915077 | 2.84e-05 | 1:11:49 | 0:37:00
175
+ 6650 | 1 | 0.900570 | 0.915016 | 2.77e-05 | 1:12:21 | 0:36:27
176
+ 6700 | 1 | 0.966644 | 0.914718 | 2.69e-05 | 1:12:53 | 0:35:53
177
+ 6750 | 1 | 0.940187 | 0.914044 | 2.62e-05 | 1:13:25 | 0:35:20
178
+ 6800 | 1 | 0.944924 | 0.915249 | 2.55e-05 | 1:13:56 | 0:34:47
179
+ 6850 | 1 | 0.857425 | 0.914176 | 2.48e-05 | 1:14:28 | 0:34:14
180
+ 6900 | 1 | 0.822066 | 0.912881 | 2.41e-05 | 1:15:00 | 0:33:41
181
+ 6950 | 1 | 0.909903 | 0.911942 | 2.33e-05 | 1:15:32 | 0:33:09
182
+ 7000 | 1 | 0.942473 | 0.912552 | 2.27e-05 | 1:16:04 | 0:32:36
183
+ [12:59:15] Generating 16 validation images ...
184
+ [12:59:27] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0007000.png
185
+ 7050 | 1 | 0.952114 | 0.912906 | 2.20e-05 | 1:16:48 | 0:32:08
186
+ [13:00:18] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.916096 ---
187
+ 7100 | 2 | 0.912200 | 0.914397 | 2.13e-05 | 1:17:20 | 0:31:35
188
+ 7150 | 2 | 0.843399 | 0.913733 | 2.06e-05 | 1:17:51 | 0:31:02
189
+ 7200 | 2 | 0.942591 | 0.914349 | 1.99e-05 | 1:18:23 | 0:30:29
190
+ 7250 | 2 | 0.899344 | 0.914555 | 1.93e-05 | 1:18:55 | 0:29:56
191
+ 7300 | 2 | 0.932643 | 0.914714 | 1.86e-05 | 1:19:27 | 0:29:23
192
+ 7350 | 2 | 0.957774 | 0.915107 | 1.80e-05 | 1:19:58 | 0:28:50
193
+ 7400 | 2 | 0.858030 | 0.914661 | 1.74e-05 | 1:20:30 | 0:28:17
194
+ 7450 | 2 | 0.872681 | 0.914357 | 1.67e-05 | 1:21:02 | 0:27:44
195
+ 7500 | 2 | 0.884336 | 0.913387 | 1.61e-05 | 1:21:34 | 0:27:11
196
+ 7550 | 2 | 1.010102 | 0.913516 | 1.55e-05 | 1:22:05 | 0:26:38
197
+ 7600 | 2 | 0.921403 | 0.914101 | 1.49e-05 | 1:22:37 | 0:26:05
198
+ 7650 | 2 | 1.025305 | 0.915864 | 1.44e-05 | 1:23:09 | 0:25:32
199
+ 7700 | 2 | 0.897488 | 0.915625 | 1.38e-05 | 1:23:41 | 0:24:59
200
+ 7750 | 2 | 0.830852 | 0.915383 | 1.32e-05 | 1:24:12 | 0:24:26
201
+ 7800 | 2 | 0.929243 | 0.915614 | 1.27e-05 | 1:24:44 | 0:23:54
202
+ 7850 | 2 | 0.858401 | 0.914400 | 1.21e-05 | 1:25:16 | 0:23:21
203
+ 7900 | 2 | 0.963547 | 0.913921 | 1.16e-05 | 1:25:48 | 0:22:48
204
+ 7950 | 2 | 0.888639 | 0.913470 | 1.11e-05 | 1:26:20 | 0:22:15
205
+ 8000 | 2 | 0.968786 | 0.914882 | 1.05e-05 | 1:26:51 | 0:21:42
206
+ [13:10:07] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-8000
207
+ [13:10:07] Removed old checkpoint: checkpoint-2000
208
+ [13:10:08] Generating 16 validation images ...
209
+ [13:10:20] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0008000.png
210
+ 8050 | 2 | 0.953750 | 0.915357 | 1.00e-05 | 1:27:42 | 0:21:14
211
+ 8100 | 2 | 0.958963 | 0.915472 | 9.55e-06 | 1:28:14 | 0:20:41
212
+ 8150 | 2 | 0.941319 | 0.914330 | 9.07e-06 | 1:28:45 | 0:20:08
213
+ 8200 | 2 | 0.807797 | 0.913061 | 8.60e-06 | 1:29:17 | 0:19:36
214
+ 8250 | 2 | 0.869033 | 0.912989 | 8.14e-06 | 1:29:49 | 0:19:03
215
+ 8300 | 2 | 0.837824 | 0.911212 | 7.70e-06 | 1:30:21 | 0:18:30
216
+ 8350 | 2 | 0.912186 | 0.911527 | 7.26e-06 | 1:30:52 | 0:17:57
217
+ 8400 | 2 | 0.944570 | 0.911571 | 6.84e-06 | 1:31:24 | 0:17:24
218
+ 8450 | 2 | 0.784895 | 0.910352 | 6.43e-06 | 1:31:56 | 0:16:51
219
+ 8500 | 2 | 0.852053 | 0.909467 | 6.03e-06 | 1:32:28 | 0:16:19
220
+ 8550 | 2 | 0.990933 | 0.910325 | 5.64e-06 | 1:32:59 | 0:15:46
221
+ 8600 | 2 | 0.928427 | 0.910174 | 5.26e-06 | 1:33:31 | 0:15:13
222
+ 8650 | 2 | 0.812242 | 0.909094 | 4.90e-06 | 1:34:03 | 0:14:40
223
+ 8700 | 2 | 0.947832 | 0.908225 | 4.55e-06 | 1:34:35 | 0:14:08
224
+ 8750 | 2 | 0.954368 | 0.907254 | 4.21e-06 | 1:35:07 | 0:13:35
225
+ 8800 | 2 | 0.886053 | 0.907379 | 3.89e-06 | 1:35:38 | 0:13:02
226
+ 8850 | 2 | 0.910107 | 0.907347 | 3.57e-06 | 1:36:10 | 0:12:29
227
+ 8900 | 2 | 0.974632 | 0.909199 | 3.27e-06 | 1:36:42 | 0:11:57
228
+ 8950 | 2 | 0.829447 | 0.908677 | 2.98e-06 | 1:37:14 | 0:11:24
229
+ 9000 | 2 | 0.877147 | 0.908663 | 2.71e-06 | 1:37:45 | 0:10:51
230
+ [13:20:57] Generating 16 validation images ...
231
+ [13:21:09] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0009000.png
232
+ 9050 | 2 | 0.903442 | 0.908290 | 2.45e-06 | 1:38:30 | 0:10:20
233
+ 9100 | 2 | 0.892891 | 0.907987 | 2.20e-06 | 1:39:01 | 0:09:47
234
+ 9150 | 2 | 0.900078 | 0.907786 | 1.96e-06 | 1:39:33 | 0:09:14
235
+ 9200 | 2 | 0.876116 | 0.907843 | 1.74e-06 | 1:40:05 | 0:08:42
236
+ 9250 | 2 | 0.848716 | 0.907637 | 1.53e-06 | 1:40:37 | 0:08:09
237
+ 9300 | 2 | 0.913660 | 0.908180 | 1.33e-06 | 1:41:08 | 0:07:36
238
+ 9350 | 2 | 0.950483 | 0.907889 | 1.15e-06 | 1:41:40 | 0:07:04
239
+ 9400 | 2 | 0.921779 | 0.908182 | 9.81e-07 | 1:42:12 | 0:06:31
240
+ 9450 | 2 | 0.793946 | 0.907148 | 8.25e-07 | 1:42:44 | 0:05:58
241
+ 9500 | 2 | 0.865129 | 0.906546 | 6.82e-07 | 1:43:15 | 0:05:26
242
+ 9550 | 2 | 0.909446 | 0.906216 | 5.53e-07 | 1:43:47 | 0:04:53
243
+ 9600 | 2 | 0.890455 | 0.906284 | 4.37e-07 | 1:44:19 | 0:04:20
244
+ 9650 | 2 | 1.023986 | 0.906950 | 3.35e-07 | 1:44:51 | 0:03:48
245
+ 9700 | 2 | 0.987765 | 0.907288 | 2.46e-07 | 1:45:23 | 0:03:15
246
+ 9750 | 2 | 0.849992 | 0.907426 | 1.71e-07 | 1:45:54 | 0:02:42
247
+ 9800 | 2 | 0.893412 | 0.907014 | 1.09e-07 | 1:46:26 | 0:02:10
248
+ 9850 | 2 | 0.919199 | 0.906373 | 6.15e-08 | 1:46:58 | 0:01:37
249
+ 9900 | 2 | 0.990386 | 0.906842 | 2.73e-08 | 1:47:30 | 0:01:05
250
+ 9950 | 2 | 0.906364 | 0.906786 | 6.83e-09 | 1:48:01 | 0:00:32
251
+ 10000 | 2 | 0.946050 | 0.907024 | 0.00e+00 | 1:48:33 | 0:00:00
252
+ [13:31:49] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-10000
253
+ [13:31:50] Removed old checkpoint: checkpoint-4000
254
+ [13:31:50] Generating 16 validation images ...
255
+ [13:32:02] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0010000.png
256
+ [13:32:02] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.916898 ---
257
+ [13:32:02] Saving final model ...
258
+ [13:32:11] Pipeline saved -> RESULTS/flicker8k/run_002
259
+ [13:32:11] Generating final validation collage ...
260
+ [13:32:11] Generating 16 validation images ...
261
+ [13:32:23] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0010000.png
262
+ [13:32:23]
263
+ [13:32:23] ============================================================
264
+ [13:32:23] TRAINING SUMMARY
265
+ [13:32:23] ============================================================
266
+ [13:32:23] Total steps : 200
267
+ [13:32:23] Final loss : 0.946050
268
+ [13:32:23] Avg last 100 : 0.907024
269
+ [13:32:23] Min loss : 0.678648
270
+ [13:32:23] Total time : 1:49:12
271
+ [13:32:23] Output : RESULTS/flicker8k/run_002
272
+ [13:32:23] ============================================================
flicker8k/sana 0.6/Baseline/training_args.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers",
3
+ "revision": null,
4
+ "variant": null,
5
+ "cache_dir": null,
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+ "data_dir": "../data/flicker8k",
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+ "caption_file_train": "caption_train.json",
8
+ "caption_file_val": "caption_val.json",
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+ "images_dir": "images",
10
+ "max_captions_per_image": 5,
11
+ "results_root": "RESULTS",
12
+ "seed": 42,
13
+ "resolution": 512,
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+ "train_batch_size": 8,
15
+ "max_train_steps": 10000,
16
+ "num_train_epochs": 3,
17
+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": false,
19
+ "learning_rate": 0.0001,
20
+ "scale_lr": false,
21
+ "lr_scheduler": "cosine",
22
+ "lr_warmup_steps": 500,
23
+ "lr_num_cycles": 1,
24
+ "optimizer": "AdamW",
25
+ "adam_beta1": 0.9,
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+ "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,
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+ "max_sequence_length": 256,
43
+ "dataloader_num_workers": 4,
44
+ "pin_memory": false,
45
+ "output_dir": "RESULTS/flicker8k/run_002"
46
+ }
flicker8k/sana 0.6/Baseline/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_steps": 200,
3
+ "final_loss": 0.9460504055023193,
4
+ "avg_last_100": 0.9070236712694169,
5
+ "min_loss": 0.6786479949951172,
6
+ "total_time": "1:49:12"
7
+ }
flicker8k/sana 0.6/RAD/model_index.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "SanaPipeline",
3
+ "_diffusers_version": "0.37.1",
4
+ "scheduler": [
5
+ "diffusers",
6
+ "FlowMatchEulerDiscreteScheduler"
7
+ ],
8
+ "text_encoder": [
9
+ "transformers",
10
+ "Gemma2Model"
11
+ ],
12
+ "tokenizer": [
13
+ "transformers",
14
+ "GemmaTokenizer"
15
+ ],
16
+ "transformer": [
17
+ "diffusers",
18
+ "SanaTransformer2DModel"
19
+ ],
20
+ "vae": [
21
+ "diffusers",
22
+ "AutoencoderDC"
23
+ ]
24
+ }
flicker8k/sana 0.6/RAD/training.log ADDED
@@ -0,0 +1,305 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-07-29 07:27:34
2
+ ==========================================================================================================================================================================
3
+ Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA
4
+ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------
5
+ [07:27:34] Run directory: RESULTS/flicker8k/run_001
6
+ [07:27:34] cuDNN SDPA disabled -- Flash/math backend for bf16 compatibility
7
+ [07:27:34] AGD: temperature=0.1, curriculum_steps=5000, max_delta=300
8
+ [07:27:34] TAM: enabled=True, alpha=0.9, factor=0.5
9
+ [07:27:34] SAD: enabled=True, temperature=0.5
10
+ [07:27:34] Loading pretrained SANA components ...
11
+ [07:27:51] Transformer params: 591,747,872 total, 591,747,872 trainable
12
+ [07:27:51] Building dataset ...
13
+ [07:27:51] TAM initialised: 28315 samples tracked.
14
+ [07:27:51]
15
+ [07:27:51] ========================================================================
16
+ [07:27:51] Output dir = RESULTS/flicker8k/run_001
17
+ [07:27:51] Num examples = 28315
18
+ [07:27:51] Num epochs = 3
19
+ [07:27:51] Batch/device = 8
20
+ [07:27:51] Effective BS = 8
21
+ [07:27:51] Total optim steps = 10000
22
+ [07:27:51] LR = 0.0001
23
+ [07:27:51] Precision = bf16
24
+ [07:27:51] --- AGD Easy-to-Hard Curriculum ---
25
+ [07:27:51] AGD temperature = 0.1
26
+ [07:27:51] Curriculum steps = 5000
27
+ [07:27:51] Max timestep delta = 300
28
+ [07:27:51] --- TAM: Temporal Advantage Memory ---
29
+ [07:27:51] TAM enabled = True
30
+ [07:27:51] TAM alpha (EMA decay) = 0.9
31
+ [07:27:51] TAM factor (modulation)= 0.5
32
+ [07:27:51] TAM log every = 500 steps
33
+ [07:27:51] --- SAD: Spectral Advantage Decomposition ---
34
+ [07:27:51] SAD enabled = True
35
+ [07:27:51] SAD temperature = 0.5
36
+ [07:27:51] ========================================================================
37
+ [07:27:51]
38
+ 50 | 0 | 0.966424 | 0.966424 | 0.973791 | 0.969023 | -0.004768 | 1.0000 | 0.0000 | 3.00 | 1.00e-05 | 0:00:57 | 3:11:49
39
+ 100 | 0 | 0.913951 | 0.940187 | 0.917272 | 0.921912 | 0.004640 | 1.0000 | -0.0000 | 6.00 | 2.00e-05 | 0:01:38 | 2:41:51
40
+ 150 | 0 | 0.924907 | 0.935094 | 0.946344 | 0.946525 | 0.000180 | 1.0000 | -0.0000 | 9.00 | 3.00e-05 | 0:02:18 | 2:31:24
41
+ 200 | 0 | 0.963036 | 0.942079 | 0.925281 | 0.932610 | 0.007329 | 1.0000 | -0.0000 | 12.00 | 4.00e-05 | 0:02:58 | 2:25:55
42
+ 250 | 0 | 0.888794 | 0.931422 | 0.863543 | 0.873955 | 0.010412 | 1.0000 | -0.0000 | 15.00 | 5.00e-05 | 0:03:39 | 2:22:23
43
+ 300 | 0 | 0.867854 | 0.920828 | 0.892898 | 0.886370 | -0.006529 | 1.0000 | -0.0000 | 18.00 | 6.00e-05 | 0:04:19 | 2:19:57
44
+ 350 | 0 | 0.947180 | 0.924592 | 0.945365 | 0.934441 | -0.010924 | 1.0000 | -0.0000 | 21.00 | 7.00e-05 | 0:05:00 | 2:17:53
45
+ 400 | 0 | 0.801207 | 0.909169 | 0.853259 | 0.843599 | -0.009660 | 1.0000 | -0.0001 | 24.00 | 8.00e-05 | 0:05:40 | 2:16:11
46
+ 450 | 0 | 0.930648 | 0.911556 | 0.929525 | 0.911283 | -0.018242 | 1.0000 | -0.0001 | 27.00 | 9.00e-05 | 0:06:20 | 2:14:42
47
+ 500 | 0 | 1.016520 | 0.922052 | 1.007096 | 0.989905 | -0.017191 | 1.0000 | -0.0001 | 30.00 | 1.00e-04 | 0:07:01 | 2:13:19
48
+ [07:34:35] [TAM stats @ step 500] mean=-0.0001 std=0.0012 max=0.0187 min=-0.0175 visits=4000
49
+ 550 | 0 | 1.004046 | 0.929506 | 0.982926 | 0.969163 | -0.013763 | 1.0000 | -0.0001 | 33.00 | 1.00e-04 | 0:07:41 | 2:12:07
50
+ 600 | 0 | 1.018777 | 0.936945 | 1.054682 | 1.019526 | -0.035156 | 1.0000 | -0.0001 | 36.00 | 1.00e-04 | 0:08:21 | 2:10:59
51
+ 650 | 0 | 0.988476 | 0.940909 | 0.974687 | 0.963086 | -0.011601 | 1.0000 | -0.0001 | 39.00 | 1.00e-04 | 0:09:02 | 2:09:56
52
+ 700 | 0 | 0.995789 | 0.944829 | 0.971778 | 0.964582 | -0.007196 | 1.0000 | -0.0002 | 42.00 | 1.00e-04 | 0:09:42 | 2:08:56
53
+ 750 | 0 | 0.852897 | 0.938700 | 0.899836 | 0.881317 | -0.018519 | 1.0000 | -0.0002 | 45.00 | 1.00e-04 | 0:10:22 | 2:08:00
54
+ 800 | 0 | 0.894045 | 0.935909 | 0.872715 | 0.866216 | -0.006499 | 1.0000 | -0.0002 | 48.00 | 1.00e-04 | 0:11:03 | 2:07:05
55
+ 850 | 0 | 0.998885 | 0.939614 | 0.948924 | 0.941440 | -0.007485 | 1.0000 | -0.0003 | 51.00 | 1.00e-04 | 0:11:43 | 2:06:11
56
+ 900 | 0 | 0.821573 | 0.933056 | 0.866753 | 0.840073 | -0.026679 | 1.0000 | -0.0003 | 54.00 | 1.00e-04 | 0:12:23 | 2:05:17
57
+ 950 | 0 | 0.955833 | 0.934255 | 0.980368 | 0.956423 | -0.023945 | 1.0000 | -0.0003 | 57.00 | 1.00e-04 | 0:13:03 | 2:04:27
58
+ 1000 | 0 | 0.846686 | 0.929876 | 0.829834 | 0.811220 | -0.018614 | 1.0000 | -0.0003 | 60.00 | 1.00e-04 | 0:13:44 | 2:03:36
59
+ [07:41:18] [TAM stats @ step 1000] mean=-0.0003 std=0.0020 max=0.0228 min=-0.0175 visits=8000
60
+ [07:41:18] Generating 16 validation images ...
61
+ [07:41:31] Validation at step 1000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0001000.png
62
+ 1050 | 0 | 0.839484 | 0.925572 | 0.882232 | 0.863551 | -0.018680 | 1.0000 | -0.0004 | 63.00 | 1.00e-04 | 0:14:36 | 2:04:35
63
+ 1100 | 0 | 0.790752 | 0.919444 | 0.828048 | 0.810534 | -0.017514 | 1.0000 | -0.0004 | 66.00 | 1.00e-04 | 0:15:17 | 2:03:41
64
+ 1150 | 0 | 0.854854 | 0.916635 | 0.895100 | 0.877732 | -0.017368 | 1.0000 | -0.0005 | 69.00 | 1.00e-04 | 0:15:57 | 2:02:49
65
+ 1200 | 0 | 0.957222 | 0.918327 | 0.944110 | 0.923732 | -0.020378 | 1.0000 | -0.0005 | 72.00 | 1.00e-04 | 0:16:37 | 2:01:57
66
+ 1250 | 0 | 0.993848 | 0.921347 | 0.991243 | 0.961460 | -0.029783 | 1.0000 | -0.0005 | 75.00 | 1.00e-04 | 0:17:18 | 2:01:08
67
+ 1300 | 0 | 0.994385 | 0.924157 | 1.019493 | 0.999333 | -0.020159 | 1.0000 | -0.0006 | 78.00 | 1.00e-04 | 0:17:58 | 2:00:18
68
+ 1350 | 0 | 0.787233 | 0.919085 | 0.821253 | 0.798441 | -0.022813 | 1.0000 | -0.0006 | 81.00 | 1.00e-04 | 0:18:39 | 1:59:30
69
+ 1400 | 0 | 1.007425 | 0.922240 | 1.003710 | 0.996211 | -0.007499 | 1.0000 | -0.0007 | 84.00 | 1.00e-04 | 0:19:19 | 1:58:42
70
+ 1450 | 0 | 0.844495 | 0.919559 | 0.859970 | 0.835158 | -0.024812 | 1.0000 | -0.0007 | 87.00 | 1.00e-04 | 0:19:59 | 1:57:53
71
+ 1500 | 0 | 0.884053 | 0.918376 | 0.920561 | 0.892782 | -0.027780 | 1.0000 | -0.0008 | 90.00 | 1.00e-04 | 0:20:40 | 1:57:07
72
+ [07:48:14] [TAM stats @ step 1500] mean=-0.0008 std=0.0029 max=0.0536 min=-0.0233 visits=12000
73
+ 1550 | 0 | 0.983437 | 0.920475 | 1.013309 | 0.956784 | -0.056526 | 1.0000 | -0.0009 | 93.00 | 1.00e-04 | 0:21:20 | 1:56:20
74
+ 1600 | 0 | 0.900175 | 0.919840 | 0.940029 | 0.909759 | -0.030270 | 1.0000 | -0.0009 | 96.00 | 1.00e-04 | 0:22:00 | 1:55:34
75
+ 1650 | 0 | 0.905069 | 0.919393 | 0.908746 | 0.846164 | -0.062582 | 1.0000 | -0.0010 | 99.00 | 1.00e-04 | 0:22:41 | 1:54:49
76
+ 1700 | 0 | 0.961154 | 0.920621 | 0.999497 | 0.939958 | -0.059539 | 1.0000 | -0.0010 | 102.00 | 1.00e-04 | 0:23:21 | 1:54:03
77
+ 1750 | 0 | 1.015610 | 0.923335 | 1.013819 | 0.988331 | -0.025488 | 1.0000 | -0.0011 | 105.00 | 1.00e-04 | 0:24:01 | 1:53:17
78
+ 1800 | 0 | 0.809702 | 0.920178 | 0.825171 | 0.788466 | -0.036705 | 1.0000 | -0.0012 | 108.00 | 1.00e-04 | 0:24:42 | 1:52:31
79
+ 1850 | 0 | 0.973990 | 0.921633 | 0.962661 | 0.963133 | 0.000472 | 1.0000 | -0.0012 | 111.00 | 1.00e-04 | 0:25:22 | 1:51:46
80
+ 1900 | 0 | 0.943183 | 0.922200 | 0.945826 | 0.947817 | 0.001991 | 1.0000 | -0.0013 | 114.00 | 1.00e-04 | 0:26:02 | 1:51:01
81
+ 1950 | 0 | 0.965259 | 0.923304 | 1.001752 | 0.975007 | -0.026745 | 1.0000 | -0.0013 | 117.00 | 1.00e-04 | 0:26:43 | 1:50:17
82
+ 2000 | 0 | 0.813683 | 0.920563 | 0.882243 | 0.806975 | -0.075268 | 1.0000 | -0.0014 | 120.00 | 1.00e-04 | 0:27:23 | 1:49:34
83
+ [07:54:57] [TAM stats @ step 2000] mean=-0.0014 std=0.0038 max=0.0536 min=-0.0255 visits=16000
84
+ [07:55:02] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-2000
85
+ [07:55:02] Generating 16 validation images ...
86
+ [07:55:15] Validation at step 2000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0002000.png
87
+ 2050 | 0 | 0.863447 | 0.919170 | 0.924119 | 0.877983 | -0.046136 | 1.0000 | -0.0015 | 123.00 | 1.00e-04 | 0:28:21 | 1:49:57
88
+ 2100 | 0 | 0.731410 | 0.914700 | 0.766454 | 0.740860 | -0.025594 | 1.0000 | -0.0016 | 126.00 | 1.00e-04 | 0:29:01 | 1:49:11
89
+ 2150 | 0 | 0.853891 | 0.913286 | 0.907123 | 0.845278 | -0.061844 | 1.0000 | -0.0016 | 129.00 | 1.00e-04 | 0:29:41 | 1:48:25
90
+ 2200 | 0 | 0.839178 | 0.911601 | 0.896736 | 0.813443 | -0.083293 | 1.0000 | -0.0017 | 132.00 | 1.00e-04 | 0:30:22 | 1:47:40
91
+ 2250 | 0 | 0.911655 | 0.911603 | 0.878872 | 0.847521 | -0.031351 | 1.0000 | -0.0018 | 135.00 | 1.00e-04 | 0:31:02 | 1:46:56
92
+ 2300 | 0 | 0.993119 | 0.913375 | 0.920652 | 0.874561 | -0.046091 | 1.0000 | -0.0018 | 138.00 | 1.00e-04 | 0:31:43 | 1:46:11
93
+ 2350 | 0 | 0.919304 | 0.913501 | 0.932665 | 0.854408 | -0.078257 | 1.0000 | -0.0019 | 141.00 | 1.00e-04 | 0:32:23 | 1:45:26
94
+ 2400 | 0 | 0.860303 | 0.912393 | 0.911136 | 0.859539 | -0.051597 | 1.0000 | -0.0020 | 144.00 | 1.00e-04 | 0:33:03 | 1:44:41
95
+ 2450 | 0 | 0.970330 | 0.913575 | 0.902747 | 0.874840 | -0.027907 | 1.0000 | -0.0021 | 147.00 | 1.00e-04 | 0:33:43 | 1:43:56
96
+ 2500 | 0 | 0.978897 | 0.914881 | 0.969383 | 0.905767 | -0.063615 | 1.0000 | -0.0022 | 150.00 | 1.00e-04 | 0:34:24 | 1:43:12
97
+ [08:01:58] [TAM stats @ step 2500] mean=-0.0022 std=0.0048 max=0.0616 min=-0.0267 visits=20000
98
+ 2550 | 0 | 1.009881 | 0.916744 | 0.974579 | 0.966658 | -0.007921 | 1.0000 | -0.0023 | 153.00 | 1.00e-04 | 0:35:04 | 1:42:28
99
+ 2600 | 0 | 0.811447 | 0.914719 | 0.869680 | 0.750718 | -0.118962 | 1.0000 | -0.0024 | 156.00 | 1.00e-04 | 0:35:44 | 1:41:43
100
+ 2650 | 0 | 0.822176 | 0.912973 | 0.843572 | 0.816243 | -0.027330 | 1.0000 | -0.0024 | 159.00 | 1.00e-04 | 0:36:24 | 1:40:59
101
+ 2700 | 0 | 1.036037 | 0.915252 | 0.919692 | 0.899189 | -0.020503 | 1.0000 | -0.0025 | 162.00 | 1.00e-04 | 0:37:04 | 1:40:15
102
+ 2750 | 0 | 0.807870 | 0.913300 | 0.861353 | 0.793711 | -0.067641 | 1.0000 | -0.0026 | 165.00 | 1.00e-04 | 0:37:45 | 1:39:31
103
+ 2800 | 0 | 0.946695 | 0.913896 | 0.899092 | 0.877856 | -0.021236 | 1.0000 | -0.0027 | 168.00 | 1.00e-04 | 0:38:25 | 1:38:48
104
+ 2850 | 0 | 0.913614 | 0.913891 | 0.972192 | 0.917432 | -0.054761 | 1.0000 | -0.0028 | 171.00 | 1.00e-04 | 0:39:05 | 1:38:04
105
+ 2900 | 0 | 1.003575 | 0.915437 | 1.003718 | 0.941640 | -0.062079 | 1.0000 | -0.0029 | 174.00 | 1.00e-04 | 0:39:45 | 1:37:21
106
+ 2950 | 0 | 0.802582 | 0.913525 | 0.935606 | 0.822598 | -0.113008 | 1.0000 | -0.0030 | 177.00 | 1.00e-04 | 0:40:25 | 1:36:37
107
+ 3000 | 0 | 0.735255 | 0.910553 | 0.840746 | 0.738281 | -0.102465 | 1.0000 | -0.0031 | 180.00 | 1.00e-04 | 0:41:06 | 1:35:54
108
+ [08:08:40] [TAM stats @ step 3000] mean=-0.0031 std=0.0059 max=0.0735 min=-0.0308 visits=24000
109
+ [08:08:40] Generating 16 validation images ...
110
+ [08:08:53] Validation at step 3000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0003000.png
111
+ 3050 | 0 | 0.821581 | 0.909095 | 0.903629 | 0.836127 | -0.067502 | 1.0000 | -0.0032 | 183.00 | 1.00e-04 | 0:41:58 | 1:35:39
112
+ 3100 | 0 | 0.818800 | 0.907639 | 0.949290 | 0.849724 | -0.099566 | 1.0000 | -0.0033 | 186.00 | 1.00e-04 | 0:42:39 | 1:34:55
113
+ 3150 | 0 | 0.984601 | 0.908860 | 1.057990 | 0.987906 | -0.070084 | 1.0000 | -0.0034 | 189.00 | 1.00e-04 | 0:43:19 | 1:34:12
114
+ 3200 | 0 | 0.871171 | 0.908271 | 0.953403 | 0.863342 | -0.090061 | 1.0000 | -0.0035 | 192.00 | 1.00e-04 | 0:43:59 | 1:33:28
115
+ 3250 | 0 | 1.173880 | 0.912358 | 0.847999 | 0.851161 | 0.003163 | 1.0000 | -0.0036 | 195.00 | 1.00e-04 | 0:44:39 | 1:32:45
116
+ 3300 | 0 | 0.902656 | 0.912211 | 1.005372 | 0.935901 | -0.069471 | 1.0000 | -0.0037 | 198.00 | 1.00e-04 | 0:45:19 | 1:32:02
117
+ 3350 | 0 | 0.778527 | 0.910215 | 0.876110 | 0.778965 | -0.097144 | 1.0000 | -0.0039 | 201.00 | 1.00e-04 | 0:46:00 | 1:31:19
118
+ 3400 | 0 | 0.910973 | 0.910226 | 0.959047 | 0.904178 | -0.054870 | 1.0000 | -0.0040 | 204.00 | 1.00e-04 | 0:46:40 | 1:30:35
119
+ 3450 | 0 | 0.906988 | 0.910179 | 0.913573 | 0.795413 | -0.118160 | 1.0000 | -0.0041 | 207.00 | 1.00e-04 | 0:47:20 | 1:29:52
120
+ 3500 | 0 | 0.821104 | 0.908907 | 0.951578 | 0.823992 | -0.127587 | 1.0000 | -0.0042 | 210.00 | 1.00e-04 | 0:48:00 | 1:29:09
121
+ [08:15:35] [TAM stats @ step 3500] mean=-0.0042 std=0.0069 max=0.0735 min=-0.0353 visits=28000
122
+ [08:16:06] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.906652 ---
123
+ 3550 | 1 | 0.931225 | 0.909221 | 0.897782 | 0.855878 | -0.041904 | 1.0000 | -0.0043 | 213.00 | 1.00e-04 | 0:48:40 | 1:28:26
124
+ 3600 | 1 | 0.915155 | 0.909304 | 0.937387 | 0.819235 | -0.118152 | 1.0000 | -0.0044 | 216.00 | 1.00e-04 | 0:49:20 | 1:27:43
125
+ 3650 | 1 | 0.851165 | 0.908507 | 0.928785 | 0.802653 | -0.126132 | 1.0000 | -0.0045 | 219.00 | 1.00e-04 | 0:50:00 | 1:27:00
126
+ 3700 | 1 | 1.014719 | 0.909943 | 1.031876 | 0.956443 | -0.075433 | 1.0000 | -0.0046 | 222.00 | 1.00e-04 | 0:50:41 | 1:26:18
127
+ 3750 | 1 | 1.076764 | 0.912167 | 1.049190 | 0.958559 | -0.090630 | 1.0000 | -0.0047 | 225.00 | 1.00e-04 | 0:51:21 | 1:25:35
128
+ 3800 | 1 | 0.958819 | 0.912781 | 0.873960 | 0.812013 | -0.061947 | 1.0000 | -0.0049 | 228.00 | 1.00e-04 | 0:52:01 | 1:24:53
129
+ 3850 | 1 | 0.822317 | 0.911606 | 0.914007 | 0.820264 | -0.093743 | 1.0000 | -0.0050 | 231.00 | 1.00e-04 | 0:52:41 | 1:24:10
130
+ 3900 | 1 | 0.821597 | 0.910452 | 0.789597 | 0.776645 | -0.012952 | 1.0000 | -0.0051 | 234.00 | 1.00e-04 | 0:53:21 | 1:23:28
131
+ 3950 | 1 | 0.823078 | 0.909346 | 0.871348 | 0.792135 | -0.079212 | 1.0000 | -0.0052 | 237.00 | 1.00e-04 | 0:54:02 | 1:22:45
132
+ 4000 | 1 | 0.873768 | 0.908901 | 0.884418 | 0.796520 | -0.087898 | 1.0000 | -0.0053 | 240.00 | 1.00e-04 | 0:54:42 | 1:22:03
133
+ [08:22:16] [TAM stats @ step 4000] mean=-0.0053 std=0.0086 max=0.0735 min=-0.0518 visits=31995
134
+ [08:22:21] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-4000
135
+ [08:22:21] Generating 16 validation images ...
136
+ [08:22:33] Validation at step 4000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0004000.png
137
+ 4050 | 1 | 0.932150 | 0.909188 | 0.945807 | 0.838867 | -0.106940 | 1.0000 | -0.0055 | 243.00 | 1.00e-04 | 0:55:39 | 1:21:46
138
+ 4100 | 1 | 0.966863 | 0.909892 | 0.937882 | 0.835155 | -0.102727 | 1.0000 | -0.0056 | 246.00 | 1.00e-04 | 0:56:19 | 1:21:03
139
+ 4150 | 1 | 0.863074 | 0.909327 | 0.916911 | 0.797529 | -0.119382 | 1.0000 | -0.0057 | 249.00 | 1.00e-04 | 0:57:00 | 1:20:21
140
+ 4200 | 1 | 0.782739 | 0.907820 | 0.883696 | 0.797698 | -0.085998 | 1.0000 | -0.0058 | 252.00 | 1.00e-04 | 0:57:40 | 1:19:38
141
+ 4250 | 1 | 0.984868 | 0.908727 | 0.866150 | 0.799015 | -0.067134 | 1.0000 | -0.0060 | 255.00 | 1.00e-04 | 0:58:20 | 1:18:56
142
+ 4300 | 1 | 0.804647 | 0.907517 | 0.872751 | 0.781084 | -0.091667 | 1.0000 | -0.0061 | 258.00 | 1.00e-04 | 0:59:00 | 1:18:13
143
+ 4350 | 1 | 1.062396 | 0.909297 | 0.992192 | 0.860719 | -0.131473 | 1.0000 | -0.0062 | 261.00 | 1.00e-04 | 0:59:41 | 1:17:31
144
+ 4400 | 1 | 0.924437 | 0.909469 | 0.891133 | 0.804834 | -0.086299 | 1.0000 | -0.0064 | 264.00 | 1.00e-04 | 1:00:21 | 1:16:48
145
+ 4450 | 1 | 1.007282 | 0.910568 | 0.891454 | 0.832045 | -0.059409 | 1.0000 | -0.0065 | 267.00 | 1.00e-04 | 1:01:01 | 1:16:06
146
+ 4500 | 1 | 0.869925 | 0.910116 | 0.920695 | 0.832999 | -0.087696 | 1.0000 | -0.0066 | 270.00 | 1.00e-04 | 1:01:41 | 1:15:24
147
+ [08:29:16] [TAM stats @ step 4500] mean=-0.0066 std=0.0102 max=0.1121 min=-0.0594 visits=35995
148
+ 4550 | 1 | 1.062176 | 0.911787 | 0.947003 | 0.927829 | -0.019174 | 1.0000 | -0.0068 | 273.00 | 1.00e-04 | 1:02:21 | 1:14:42
149
+ 4600 | 1 | 0.854623 | 0.911166 | 0.884761 | 0.822493 | -0.062267 | 1.0000 | -0.0069 | 276.00 | 1.00e-04 | 1:03:02 | 1:13:59
150
+ 4650 | 1 | 1.024279 | 0.912382 | 0.970360 | 0.854366 | -0.115994 | 1.0000 | -0.0070 | 279.00 | 1.00e-04 | 1:03:42 | 1:13:17
151
+ 4700 | 1 | 0.872310 | 0.911956 | 0.971861 | 0.848130 | -0.123732 | 1.0000 | -0.0072 | 282.00 | 1.00e-04 | 1:04:22 | 1:12:35
152
+ 4750 | 1 | 0.763437 | 0.910393 | 0.835349 | 0.740419 | -0.094930 | 1.0000 | -0.0073 | 285.00 | 1.00e-04 | 1:05:02 | 1:11:53
153
+ 4800 | 1 | 1.056154 | 0.911911 | 0.941168 | 0.782045 | -0.159123 | 1.0000 | -0.0075 | 288.00 | 1.00e-04 | 1:05:42 | 1:11:11
154
+ 4850 | 1 | 1.047010 | 0.913304 | 0.979962 | 0.851133 | -0.128828 | 1.0000 | -0.0076 | 291.00 | 1.00e-04 | 1:06:23 | 1:10:29
155
+ 4900 | 1 | 0.905064 | 0.913220 | 0.942656 | 0.792333 | -0.150323 | 1.0000 | -0.0078 | 294.00 | 1.00e-04 | 1:07:03 | 1:09:47
156
+ 4950 | 1 | 0.867583 | 0.912759 | 0.912989 | 0.747741 | -0.165248 | 1.0000 | -0.0079 | 297.00 | 1.00e-04 | 1:07:43 | 1:09:05
157
+ 5000 | 1 | 0.976520 | 0.913396 | 0.916617 | 0.827029 | -0.089588 | 1.0000 | -0.0080 | 300.00 | 1.00e-04 | 1:08:23 | 1:08:23
158
+ [08:35:58] [TAM stats @ step 5000] mean=-0.0080 std=0.0117 max=0.1121 min=-0.0663 visits=39995
159
+ [08:35:58] Generating 16 validation images ...
160
+ [08:36:10] Validation at step 5000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0005000.png
161
+ 5050 | 1 | 0.807397 | 0.911806 | 0.836825 | 0.756397 | -0.080429 | 1.0000 | -0.0081 | 300.00 | 1.00e-04 | 1:09:16 | 1:07:53
162
+ 5100 | 1 | 1.078396 | 0.913451 | 0.996449 | 0.999242 | 0.002793 | 1.0000 | -0.0082 | 300.00 | 1.00e-04 | 1:09:56 | 1:07:11
163
+ 5150 | 1 | 0.989417 | 0.914096 | 1.029811 | 0.971663 | -0.058148 | 1.0000 | -0.0083 | 300.00 | 1.00e-04 | 1:10:36 | 1:06:29
164
+ 5200 | 1 | 0.958890 | 0.914054 | 0.978938 | 0.974517 | -0.004421 | 1.0000 | -0.0084 | 300.00 | 1.00e-04 | 1:11:16 | 1:05:47
165
+ 5250 | 1 | 0.804849 | 0.913215 | 0.848651 | 0.772160 | -0.076491 | 1.0000 | -0.0084 | 300.00 | 1.00e-04 | 1:11:56 | 1:05:05
166
+ 5300 | 1 | 0.720878 | 0.911745 | 0.833330 | 0.771997 | -0.061333 | 1.0000 | -0.0085 | 300.00 | 1.00e-04 | 1:12:37 | 1:04:23
167
+ 5350 | 1 | 0.896616 | 0.911239 | 0.909065 | 0.868036 | -0.041029 | 1.0000 | -0.0086 | 300.00 | 1.00e-04 | 1:13:17 | 1:03:41
168
+ 5400 | 1 | 0.928476 | 0.912512 | 0.968620 | 0.924604 | -0.044016 | 1.0000 | -0.0087 | 300.00 | 1.00e-04 | 1:13:57 | 1:03:00
169
+ 5450 | 1 | 0.691840 | 0.910124 | 0.804216 | 0.715574 | -0.088641 | 1.0000 | -0.0088 | 300.00 | 1.00e-04 | 1:14:37 | 1:02:18
170
+ 5500 | 1 | 0.799065 | 0.907949 | 0.820000 | 0.808966 | -0.011035 | 1.0000 | -0.0088 | 300.00 | 1.00e-04 | 1:15:17 | 1:01:36
171
+ [08:42:52] [TAM stats @ step 5500] mean=-0.0088 std=0.0121 max=0.1121 min=-0.0663 visits=43995
172
+ 5550 | 1 | 0.773070 | 0.905640 | 0.695104 | 0.674760 | -0.020344 | 1.0000 | -0.0089 | 300.00 | 1.00e-04 | 1:15:58 | 1:00:54
173
+ 5600 | 1 | 0.761565 | 0.903067 | 0.732263 | 0.712332 | -0.019931 | 1.0000 | -0.0090 | 300.00 | 1.00e-04 | 1:16:38 | 1:00:13
174
+ 5650 | 1 | 0.950511 | 0.902688 | 0.912130 | 0.878362 | -0.033768 | 1.0000 | -0.0091 | 300.00 | 1.00e-04 | 1:17:18 | 0:59:31
175
+ 5700 | 1 | 0.916808 | 0.901898 | 0.818270 | 0.837321 | 0.019050 | 1.0000 | -0.0091 | 300.00 | 1.00e-04 | 1:17:58 | 0:58:49
176
+ 5750 | 1 | 0.786238 | 0.901231 | 0.923949 | 0.814278 | -0.109671 | 1.0000 | -0.0092 | 300.00 | 1.00e-04 | 1:18:39 | 0:58:08
177
+ 5800 | 1 | 0.912683 | 0.901418 | 0.979270 | 0.893702 | -0.085568 | 1.0000 | -0.0093 | 300.00 | 1.00e-04 | 1:19:19 | 0:57:26
178
+ 5850 | 1 | 0.916536 | 0.900594 | 0.936851 | 0.811659 | -0.125192 | 1.0000 | -0.0094 | 300.00 | 1.00e-04 | 1:19:59 | 0:56:45
179
+ 5900 | 1 | 0.882911 | 0.901208 | 0.916429 | 0.859784 | -0.056645 | 1.0000 | -0.0094 | 300.00 | 1.00e-04 | 1:20:40 | 0:56:03
180
+ 5950 | 1 | 0.970079 | 0.901350 | 1.024886 | 0.879210 | -0.145675 | 1.0000 | -0.0095 | 300.00 | 1.00e-04 | 1:21:20 | 0:55:22
181
+ 6000 | 1 | 0.853166 | 0.901415 | 0.931569 | 0.850592 | -0.080976 | 1.0000 | -0.0096 | 300.00 | 1.00e-04 | 1:22:00 | 0:54:40
182
+ [08:49:35] [TAM stats @ step 6000] mean=-0.0096 std=0.0125 max=0.1121 min=-0.0663 visits=47995
183
+ [08:49:39] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-6000
184
+ [08:49:39] Generating 16 validation images ...
185
+ [08:49:51] Validation at step 6000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0006000.png
186
+ 6050 | 1 | 0.894276 | 0.901963 | 0.969036 | 0.847022 | -0.122013 | 1.0000 | -0.0097 | 300.00 | 1.00e-04 | 1:22:57 | 0:54:10
187
+ 6100 | 1 | 0.794760 | 0.902003 | 0.875145 | 0.791298 | -0.083847 | 1.0000 | -0.0097 | 300.00 | 1.00e-04 | 1:23:38 | 0:53:28
188
+ 6150 | 1 | 0.949320 | 0.902948 | 1.001090 | 0.920261 | -0.080829 | 1.0000 | -0.0098 | 300.00 | 1.00e-04 | 1:24:18 | 0:52:46
189
+ 6200 | 1 | 0.765325 | 0.901029 | 0.863942 | 0.815787 | -0.048155 | 1.0000 | -0.0099 | 300.00 | 1.00e-04 | 1:24:59 | 0:52:05
190
+ 6250 | 1 | 0.747670 | 0.898567 | 0.835818 | 0.758103 | -0.077715 | 1.0000 | -0.0100 | 300.00 | 1.00e-04 | 1:25:39 | 0:51:23
191
+ 6300 | 1 | 1.005991 | 0.898683 | 0.866460 | 0.890059 | 0.023600 | 1.0000 | -0.0101 | 300.00 | 1.00e-04 | 1:26:19 | 0:50:42
192
+ 6350 | 1 | 0.820943 | 0.899020 | 0.764279 | 0.704418 | -0.059861 | 1.0000 | -0.0102 | 300.00 | 1.00e-04 | 1:26:59 | 0:50:00
193
+ 6400 | 1 | 0.893619 | 0.897882 | 0.938368 | 0.896339 | -0.042029 | 1.0000 | -0.0103 | 300.00 | 1.00e-04 | 1:27:39 | 0:49:18
194
+ 6450 | 1 | 0.927772 | 0.898715 | 0.957274 | 0.929845 | -0.027428 | 1.0000 | -0.0103 | 300.00 | 1.00e-04 | 1:28:20 | 0:48:37
195
+ 6500 | 1 | 0.832528 | 0.898200 | 0.872020 | 0.824611 | -0.047409 | 1.0000 | -0.0104 | 300.00 | 1.00e-04 | 1:29:00 | 0:47:55
196
+ [08:56:34] [TAM stats @ step 6500] mean=-0.0104 std=0.0128 max=0.1121 min=-0.0663 visits=51995
197
+ 6550 | 1 | 0.981993 | 0.898185 | 0.912735 | 0.844463 | -0.068272 | 1.0000 | -0.0105 | 300.00 | 1.00e-04 | 1:29:40 | 0:47:14
198
+ 6600 | 1 | 0.915992 | 0.898343 | 0.940965 | 0.848559 | -0.092406 | 1.0000 | -0.0105 | 300.00 | 1.00e-04 | 1:30:20 | 0:46:32
199
+ 6650 | 1 | 0.943003 | 0.898723 | 0.938552 | 0.929280 | -0.009272 | 1.0000 | -0.0106 | 300.00 | 1.00e-04 | 1:31:00 | 0:45:50
200
+ 6700 | 1 | 1.025004 | 0.899361 | 1.077491 | 0.924027 | -0.153463 | 1.0000 | -0.0107 | 300.00 | 1.00e-04 | 1:31:41 | 0:45:09
201
+ 6750 | 1 | 0.936984 | 0.898575 | 0.959082 | 0.928039 | -0.031044 | 1.0000 | -0.0108 | 300.00 | 1.00e-04 | 1:32:21 | 0:44:27
202
+ 6800 | 1 | 0.939284 | 0.899871 | 0.889666 | 0.847857 | -0.041810 | 1.0000 | -0.0109 | 300.00 | 1.00e-04 | 1:33:01 | 0:43:46
203
+ 6850 | 1 | 0.802047 | 0.898151 | 0.798547 | 0.744026 | -0.054521 | 1.0000 | -0.0109 | 300.00 | 1.00e-04 | 1:33:41 | 0:43:05
204
+ 6900 | 1 | 0.808349 | 0.896803 | 0.794708 | 0.782514 | -0.012193 | 1.0000 | -0.0110 | 300.00 | 1.00e-04 | 1:34:21 | 0:42:23
205
+ 6950 | 1 | 0.927230 | 0.896423 | 0.855830 | 0.821622 | -0.034209 | 1.0000 | -0.0111 | 300.00 | 1.00e-04 | 1:35:01 | 0:41:42
206
+ 7000 | 1 | 0.811559 | 0.896401 | 0.878330 | 0.805688 | -0.072642 | 1.0000 | -0.0111 | 300.00 | 1.00e-04 | 1:35:42 | 0:41:00
207
+ [09:03:16] [TAM stats @ step 7000] mean=-0.0111 std=0.0131 max=0.1121 min=-0.0663 visits=55995
208
+ [09:03:16] Generating 16 validation images ...
209
+ [09:03:29] Validation at step 7000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0007000.png
210
+ 7050 | 1 | 0.763498 | 0.895402 | 0.769872 | 0.681774 | -0.088098 | 1.0000 | -0.0112 | 300.00 | 1.00e-04 | 1:36:34 | 0:40:24
211
+ [09:04:32] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.895855 ---
212
+ 7100 | 2 | 1.049219 | 0.898580 | 1.005461 | 1.008994 | 0.003533 | 1.0000 | -0.0113 | 300.00 | 1.00e-04 | 1:37:14 | 0:39:43
213
+ 7150 | 2 | 0.785447 | 0.897895 | 0.907231 | 0.761506 | -0.145725 | 1.0000 | -0.0114 | 300.00 | 1.00e-04 | 1:37:55 | 0:39:01
214
+ 7200 | 2 | 1.008040 | 0.899584 | 1.041527 | 0.994766 | -0.046761 | 1.0000 | -0.0114 | 300.00 | 1.00e-04 | 1:38:35 | 0:38:20
215
+ 7250 | 2 | 0.844710 | 0.898915 | 0.873964 | 0.818345 | -0.055619 | 1.0000 | -0.0115 | 300.00 | 1.00e-04 | 1:39:15 | 0:37:38
216
+ 7300 | 2 | 0.918361 | 0.898167 | 0.857783 | 0.844146 | -0.013637 | 1.0000 | -0.0116 | 300.00 | 1.00e-04 | 1:39:55 | 0:36:57
217
+ 7350 | 2 | 0.886678 | 0.897841 | 0.867499 | 0.855164 | -0.012335 | 1.0000 | -0.0116 | 300.00 | 1.00e-04 | 1:40:36 | 0:36:16
218
+ 7400 | 2 | 0.796626 | 0.897204 | 0.935208 | 0.825330 | -0.109879 | 1.0000 | -0.0117 | 300.00 | 1.00e-04 | 1:41:16 | 0:35:34
219
+ 7450 | 2 | 0.931882 | 0.896820 | 1.005051 | 0.870996 | -0.134055 | 1.0000 | -0.0118 | 300.00 | 1.00e-04 | 1:41:56 | 0:34:53
220
+ 7500 | 2 | 0.842789 | 0.895458 | 0.888191 | 0.747204 | -0.140987 | 1.0000 | -0.0118 | 300.00 | 1.00e-04 | 1:42:36 | 0:34:12
221
+ [09:10:11] [TAM stats @ step 7500] mean=-0.0118 std=0.0137 max=0.1121 min=-0.0940 visits=59990
222
+ 7550 | 2 | 0.867999 | 0.894040 | 0.889998 | 0.898233 | 0.008235 | 1.0000 | -0.0119 | 300.00 | 1.00e-04 | 1:43:16 | 0:33:30
223
+ 7600 | 2 | 1.143342 | 0.897359 | 0.963665 | 0.965781 | 0.002116 | 1.0000 | -0.0120 | 300.00 | 1.00e-04 | 1:43:57 | 0:32:49
224
+ 7650 | 2 | 1.015704 | 0.899294 | 1.018492 | 1.020761 | 0.002269 | 1.0000 | -0.0120 | 300.00 | 1.00e-04 | 1:44:37 | 0:32:08
225
+ 7700 | 2 | 0.793856 | 0.896872 | 0.811185 | 0.766736 | -0.044449 | 1.0000 | -0.0121 | 300.00 | 1.00e-04 | 1:45:17 | 0:31:27
226
+ 7750 | 2 | 0.872291 | 0.897516 | 0.839801 | 0.830768 | -0.009034 | 1.0000 | -0.0122 | 300.00 | 1.00e-04 | 1:45:57 | 0:30:45
227
+ 7800 | 2 | 0.874853 | 0.896798 | 0.973029 | 0.834544 | -0.138485 | 1.0000 | -0.0122 | 300.00 | 1.00e-04 | 1:46:37 | 0:30:04
228
+ 7850 | 2 | 0.820307 | 0.895865 | 0.868502 | 0.826595 | -0.041907 | 1.0000 | -0.0123 | 300.00 | 1.00e-04 | 1:47:18 | 0:29:23
229
+ 7900 | 2 | 0.975446 | 0.895583 | 0.981446 | 0.928627 | -0.052819 | 1.0000 | -0.0124 | 300.00 | 1.00e-04 | 1:47:58 | 0:28:42
230
+ 7950 | 2 | 0.964718 | 0.897205 | 0.979554 | 0.942030 | -0.037524 | 1.0000 | -0.0124 | 300.00 | 1.00e-04 | 1:48:38 | 0:28:00
231
+ 8000 | 2 | 0.803273 | 0.897885 | 0.882252 | 0.776886 | -0.105366 | 1.0000 | -0.0125 | 300.00 | 1.00e-04 | 1:49:18 | 0:27:19
232
+ [09:16:53] [TAM stats @ step 8000] mean=-0.0125 std=0.0142 max=0.1087 min=-0.0940 visits=63990
233
+ [09:16:57] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-8000
234
+ [09:16:58] Removed old checkpoint: checkpoint-2000
235
+ [09:16:58] Generating 16 validation images ...
236
+ [09:17:10] Validation at step 8000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0008000.png
237
+ 8050 | 2 | 0.857251 | 0.898242 | 0.884806 | 0.780596 | -0.104210 | 1.0000 | -0.0126 | 300.00 | 1.00e-04 | 1:50:16 | 0:26:42
238
+ 8100 | 2 | 0.995616 | 0.900010 | 0.997621 | 0.953759 | -0.043862 | 1.0000 | -0.0126 | 300.00 | 1.00e-04 | 1:50:56 | 0:26:01
239
+ 8150 | 2 | 0.862401 | 0.898788 | 0.877179 | 0.861003 | -0.016176 | 1.0000 | -0.0127 | 300.00 | 1.00e-04 | 1:51:36 | 0:25:20
240
+ 8200 | 2 | 0.664164 | 0.896718 | 0.767453 | 0.697600 | -0.069854 | 1.0000 | -0.0128 | 300.00 | 1.00e-04 | 1:52:17 | 0:24:38
241
+ 8250 | 2 | 0.840099 | 0.893380 | 0.929635 | 0.831307 | -0.098329 | 1.0000 | -0.0129 | 300.00 | 1.00e-04 | 1:52:57 | 0:23:57
242
+ 8300 | 2 | 0.902927 | 0.893383 | 0.966159 | 0.929088 | -0.037071 | 1.0000 | -0.0129 | 300.00 | 1.00e-04 | 1:53:37 | 0:23:16
243
+ 8350 | 2 | 1.033870 | 0.895936 | 0.995804 | 0.993635 | -0.002169 | 1.0000 | -0.0130 | 300.00 | 1.00e-04 | 1:54:17 | 0:22:35
244
+ 8400 | 2 | 0.941343 | 0.896240 | 0.937514 | 0.915913 | -0.021600 | 1.0000 | -0.0130 | 300.00 | 1.00e-04 | 1:54:58 | 0:21:53
245
+ 8450 | 2 | 0.868471 | 0.895855 | 0.866683 | 0.834717 | -0.031966 | 1.0000 | -0.0131 | 300.00 | 1.00e-04 | 1:55:38 | 0:21:12
246
+ 8500 | 2 | 0.876518 | 0.896409 | 0.861421 | 0.816324 | -0.045098 | 1.0000 | -0.0132 | 300.00 | 1.00e-04 | 1:56:18 | 0:20:31
247
+ [09:23:52] [TAM stats @ step 8500] mean=-0.0132 std=0.0147 max=0.1087 min=-0.0940 visits=67990
248
+ 8550 | 2 | 0.866382 | 0.895760 | 0.904062 | 0.849470 | -0.054593 | 1.0000 | -0.0132 | 300.00 | 1.00e-04 | 1:56:58 | 0:19:50
249
+ 8600 | 2 | 0.766736 | 0.894276 | 0.788877 | 0.790822 | 0.001945 | 1.0000 | -0.0133 | 300.00 | 1.00e-04 | 1:57:38 | 0:19:09
250
+ 8650 | 2 | 0.887748 | 0.894642 | 0.890412 | 0.836993 | -0.053419 | 1.0000 | -0.0134 | 300.00 | 1.00e-04 | 1:58:19 | 0:18:27
251
+ 8700 | 2 | 0.934810 | 0.893843 | 0.933038 | 0.882493 | -0.050545 | 1.0000 | -0.0134 | 300.00 | 1.00e-04 | 1:58:59 | 0:17:46
252
+ 8750 | 2 | 0.865154 | 0.891727 | 0.877618 | 0.843312 | -0.034307 | 1.0000 | -0.0135 | 300.00 | 1.00e-04 | 1:59:39 | 0:17:05
253
+ 8800 | 2 | 0.926217 | 0.891401 | 0.929614 | 0.887309 | -0.042305 | 1.0000 | -0.0136 | 300.00 | 1.00e-04 | 2:00:19 | 0:16:24
254
+ 8850 | 2 | 0.791860 | 0.891096 | 0.788866 | 0.743769 | -0.045097 | 1.0000 | -0.0136 | 300.00 | 1.00e-04 | 2:00:59 | 0:15:43
255
+ 8900 | 2 | 0.822574 | 0.891106 | 0.874653 | 0.859267 | -0.015386 | 1.0000 | -0.0137 | 300.00 | 1.00e-04 | 2:01:40 | 0:15:02
256
+ 8950 | 2 | 0.972084 | 0.892596 | 0.936330 | 0.860406 | -0.075924 | 1.0000 | -0.0138 | 300.00 | 1.00e-04 | 2:02:20 | 0:14:21
257
+ 9000 | 2 | 0.967862 | 0.893537 | 0.869635 | 0.770545 | -0.099091 | 1.0000 | -0.0138 | 300.00 | 1.00e-04 | 2:03:00 | 0:13:40
258
+ [09:30:34] [TAM stats @ step 9000] mean=-0.0138 std=0.0152 max=0.1188 min=-0.0940 visits=71990
259
+ [09:30:34] Generating 16 validation images ...
260
+ [09:30:47] Validation at step 9000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0009000.png
261
+ 9050 | 2 | 0.831935 | 0.892535 | 0.887962 | 0.872094 | -0.015868 | 1.0000 | -0.0139 | 300.00 | 1.00e-04 | 2:03:52 | 0:13:00
262
+ 9100 | 2 | 0.795932 | 0.890826 | 0.815422 | 0.770722 | -0.044700 | 1.0000 | -0.0140 | 300.00 | 1.00e-04 | 2:04:33 | 0:12:19
263
+ 9150 | 2 | 0.843191 | 0.890627 | 0.817357 | 0.761104 | -0.056253 | 1.0000 | -0.0141 | 300.00 | 1.00e-04 | 2:05:13 | 0:11:37
264
+ 9200 | 2 | 0.924595 | 0.892045 | 0.877061 | 0.840617 | -0.036444 | 1.0000 | -0.0141 | 300.00 | 1.00e-04 | 2:05:53 | 0:10:56
265
+ 9250 | 2 | 0.981623 | 0.892013 | 1.009079 | 0.947649 | -0.061430 | 1.0000 | -0.0142 | 300.00 | 1.00e-04 | 2:06:33 | 0:10:15
266
+ 9300 | 2 | 0.862934 | 0.892596 | 0.945165 | 0.855804 | -0.089361 | 1.0000 | -0.0143 | 300.00 | 1.00e-04 | 2:07:14 | 0:09:34
267
+ 9350 | 2 | 0.884289 | 0.890815 | 0.900332 | 0.901991 | 0.001660 | 1.0000 | -0.0143 | 300.00 | 1.00e-04 | 2:07:54 | 0:08:53
268
+ 9400 | 2 | 0.944111 | 0.891011 | 0.948786 | 0.890654 | -0.058132 | 1.0000 | -0.0144 | 300.00 | 1.00e-04 | 2:08:34 | 0:08:12
269
+ 9450 | 2 | 0.911925 | 0.890058 | 0.950253 | 0.883688 | -0.066565 | 1.0000 | -0.0145 | 300.00 | 1.00e-04 | 2:09:14 | 0:07:31
270
+ 9500 | 2 | 0.834919 | 0.889708 | 0.898416 | 0.831576 | -0.066840 | 1.0000 | -0.0145 | 300.00 | 1.00e-04 | 2:09:54 | 0:06:50
271
+ [09:37:29] [TAM stats @ step 9500] mean=-0.0145 std=0.0156 max=0.1188 min=-0.0940 visits=75990
272
+ 9550 | 2 | 0.925670 | 0.888343 | 0.931549 | 0.913788 | -0.017762 | 1.0000 | -0.0146 | 300.00 | 1.00e-04 | 2:10:35 | 0:06:09
273
+ 9600 | 2 | 1.001318 | 0.889810 | 0.976977 | 0.892882 | -0.084095 | 1.0000 | -0.0147 | 300.00 | 1.00e-04 | 2:11:15 | 0:05:28
274
+ 9650 | 2 | 0.944850 | 0.889015 | 0.943109 | 0.939849 | -0.003260 | 1.0000 | -0.0147 | 300.00 | 1.00e-04 | 2:11:55 | 0:04:47
275
+ 9700 | 2 | 1.061720 | 0.890909 | 0.908682 | 0.802953 | -0.105729 | 1.0000 | -0.0148 | 300.00 | 1.00e-04 | 2:12:35 | 0:04:06
276
+ 9750 | 2 | 0.881289 | 0.892088 | 0.930439 | 0.829274 | -0.101166 | 1.0000 | -0.0149 | 300.00 | 1.00e-04 | 2:13:15 | 0:03:25
277
+ 9800 | 2 | 0.957264 | 0.891099 | 0.914919 | 0.896406 | -0.018513 | 1.0000 | -0.0149 | 300.00 | 1.00e-04 | 2:13:56 | 0:02:44
278
+ 9850 | 2 | 0.876212 | 0.889391 | 0.886088 | 0.833536 | -0.052552 | 1.0000 | -0.0150 | 300.00 | 1.00e-04 | 2:14:36 | 0:02:02
279
+ 9900 | 2 | 0.924574 | 0.889586 | 0.954612 | 0.933418 | -0.021194 | 1.0000 | -0.0151 | 300.00 | 1.00e-04 | 2:15:16 | 0:01:21
280
+ 9950 | 2 | 0.985757 | 0.890768 | 0.971804 | 0.877161 | -0.094643 | 1.0000 | -0.0151 | 300.00 | 1.00e-04 | 2:15:56 | 0:00:40
281
+ 10000 | 2 | 0.909751 | 0.890100 | 0.919965 | 0.781169 | -0.138797 | 1.0000 | -0.0152 | 300.00 | 1.00e-04 | 2:16:36 | 0:00:00
282
+ [09:44:11] [TAM stats @ step 10000] mean=-0.0152 std=0.0160 max=0.2159 min=-0.0940 visits=79990
283
+ [09:44:16] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-10000
284
+ [09:44:16] Removed old checkpoint: checkpoint-4000
285
+ [09:44:16] Generating 16 validation images ...
286
+ [09:44:29] Validation at step 10000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0010000.png
287
+ [09:44:29] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.897741 ---
288
+ [09:44:29] Saving final model ...
289
+ [09:44:38] Pipeline saved -> RESULTS/flicker8k/run_001
290
+ [09:44:38] TAM scores saved -> RESULTS/flicker8k/run_001/tam_final.pt
291
+ [09:44:38] Final TAM stats: {'mean_score': -0.015203631483018398, 'std_score': 0.01602308079600334, 'max_score': 0.2158627212047577, 'min_score': -0.09403441101312637, 'total_visits': 79990}
292
+ [09:44:38] Generating final validation collage ...
293
+ [09:44:38] Generating 16 validation images ...
294
+ [09:44:51] Validation at step 10000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0010000.png
295
+ [09:44:51]
296
+ [09:44:51] ============================================================
297
+ [09:44:51] TRAINING SUMMARY
298
+ [09:44:51] ============================================================
299
+ [09:44:51] Total steps : 200
300
+ [09:44:51] Final loss : 0.909751
301
+ [09:44:51] Avg last 100 : 0.890100
302
+ [09:44:51] Min loss : 0.664164
303
+ [09:44:51] Total time : 2:17:16
304
+ [09:44:51] Output : RESULTS/flicker8k/run_001
305
+ [09:44:51] ============================================================
flicker8k/sana 0.6/RAD/training_summary.json ADDED
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+ {
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+ "total_steps": 200,
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flicker8k/sana 0.6/SRA/checkpoint-10000/transformer/config.json ADDED
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+ {
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+ "_class_name": "SanaTransformer2DModel",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers",
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+ }
flicker8k/sana 0.6/SRA/model_index.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "_class_name": "SanaPipeline",
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+ "_diffusers_version": "0.37.1",
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+ "scheduler": [
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+ "diffusers",
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+ "FlowMatchEulerDiscreteScheduler"
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+ ],
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+ "text_encoder": [
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+ "transformers",
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+ "Gemma2Model"
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+ ],
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+ "transformers",
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+ "SanaTransformer2DModel"
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+ "vae": [
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+ "diffusers",
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+ "AutoencoderDC"
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+ ]
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+ }
flicker8k/sana 0.6/SRA/scheduler/scheduler_config.json ADDED
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1
+ {
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+ "lower_order_final": true,
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+ "max_shift": 1.15,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "flow_prediction",
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+ "solver_type": "midpoint",
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+ "timestep_spacing": "linspace",
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+ "use_karras_sigmas": false,
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+ "use_lu_lambdas": false,
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+ "variance_type": null
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+ }
flicker8k/sana 0.6/SRA/text_encoder/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "architectures": [
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+ "hidden_size": 2304,
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+ "initializer_range": 0.02,
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+ "layer_types": [
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+ "sliding_attention",
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+ "full_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "full_attention"
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+ ],
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+ "max_position_embeddings": 8192,
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+ "num_attention_heads": 8,
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+ "num_hidden_layers": 26,
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+ "num_key_value_heads": 4,
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+ "pad_token_id": 0,
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+ "rms_norm_eps": 1e-06,
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+ "rope_type": "default"
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+ },
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+ "use_bidirectional_attention": null,
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+ "use_cache": true,
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+ "vocab_size": 256000
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+ }
flicker8k/sana 0.6/SRA/tokenizer/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
flicker8k/sana 0.6/SRA/tokenizer/tokenizer_config.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": "tokenizers",
3
+ "bos_token": "<bos>",
4
+ "clean_up_tokenization_spaces": false,
5
+ "eos_token": "<eos>",
6
+ "extra_special_tokens": [
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+ "<start_of_turn>",
8
+ "<end_of_turn>"
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+ ],
10
+ "is_local": false,
11
+ "local_files_only": false,
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+ "mask_token": "<mask>",
13
+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "<pad>",
15
+ "sp_model_kwargs": {},
16
+ "spaces_between_special_tokens": false,
17
+ "tokenizer_class": "GemmaTokenizer",
18
+ "unk_token": "<unk>",
19
+ "use_default_system_prompt": false
20
+ }
flicker8k/sana 0.6/SRA/training.log ADDED
@@ -0,0 +1,280 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-08-13 05:49:37
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [05:49:37] Run directory: RESULTS/flicker8k/run_014
6
+ [05:49:37] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility
7
+ [05:49:37] Loading pretrained SANA components ...
8
+ [05:50:16] Transformer params: 591,747,872 total, 591,747,872 trainable
9
+ [05:50:16] Building SRA teacher (EMA copy of transformer) and projection head ...
10
+ [05:50:20] Alignment: student block 6 -> teacher block 14 (of 28)
11
+ [05:50:20] Time interval k ~ U(0, 0.2), teacher_t = clamp(student_t - k, 0, 1)
12
+ [05:50:20] Loss type: sml1, EMA decay: 0.9999
13
+ [05:50:20] Align weight: progress-based decay (default) -- start_frac=0.15, span_frac=0.35
14
+ [05:50:20] SRA projection head params: 5,311,872
15
+ [05:50:20] Building dataset ...
16
+ [05:50:20] Step-based training: 10000 steps (~3 epochs over dataset)
17
+ [05:50:23] SRA teacher initialized (synced with student weights).
18
+ [05:50:23]
19
+ [05:50:23] ================================================================
20
+ [05:50:23] Output dir = RESULTS/flicker8k/run_014
21
+ [05:50:23] Num examples = 28315
22
+ [05:50:23] Num epochs = 3
23
+ [05:50:23] Batch/device = 8
24
+ [05:50:23] Grad accum = 1
25
+ [05:50:23] Effective BS = 8
26
+ [05:50:23] Total optim steps = 10000
27
+ [05:50:23] LR = 0.0001
28
+ [05:50:23] Precision = bf16
29
+ [05:50:23] Log every = 50 steps
30
+ [05:50:23] Validate every = 1000 steps
31
+ [05:50:23] Checkpoint every = 2000 steps
32
+ [05:50:23] ================================================================
33
+ [05:50:23]
34
+ 50 | 0 | 1.380900 | 1.380900 | 1.00e-05 | 0:01:30 | 5:00:49 | Gen 0.951731 | Align 2.145846
35
+ 100 | 0 | 1.481066 | 1.430983 | 2.00e-05 | 0:02:05 | 3:27:28 | Gen 1.068895 | Align 2.060858
36
+ 150 | 0 | 1.418836 | 1.426934 | 3.00e-05 | 0:02:40 | 2:56:08 | Gen 1.031977 | Align 1.934291
37
+ 200 | 0 | 1.416307 | 1.424277 | 4.00e-05 | 0:03:16 | 2:40:13 | Gen 1.029969 | Align 1.931689
38
+ 250 | 0 | 1.250405 | 1.389503 | 5.00e-05 | 0:03:51 | 2:30:28 | Gen 0.894685 | Align 1.778598
39
+ 300 | 0 | 1.320946 | 1.378077 | 6.00e-05 | 0:04:26 | 2:23:49 | Gen 0.959819 | Align 1.805634
40
+ 350 | 0 | 1.367962 | 1.376632 | 7.00e-05 | 0:05:02 | 2:18:53 | Gen 1.008994 | Align 1.794841
41
+ 400 | 0 | 1.305005 | 1.367678 | 8.00e-05 | 0:05:37 | 2:15:03 | Gen 0.978572 | Align 1.632165
42
+ 450 | 0 | 1.184980 | 1.347379 | 9.00e-05 | 0:06:13 | 2:11:56 | Gen 0.909300 | Align 1.378401
43
+ 500 | 0 | 1.243031 | 1.336944 | 1.00e-04 | 0:06:48 | 2:09:19 | Gen 0.959500 | Align 1.417652
44
+ 550 | 0 | 0.966000 | 1.303222 | 1.00e-04 | 0:07:23 | 2:07:04 | Gen 0.708033 | Align 1.289835
45
+ 600 | 0 | 1.131236 | 1.288889 | 1.00e-04 | 0:07:59 | 2:05:06 | Gen 0.868573 | Align 1.313315
46
+ 650 | 0 | 1.207377 | 1.282619 | 9.99e-05 | 0:08:34 | 2:03:21 | Gen 0.939020 | Align 1.341786
47
+ 700 | 0 | 1.174567 | 1.274901 | 9.99e-05 | 0:09:09 | 2:01:46 | Gen 0.928207 | Align 1.231802
48
+ 750 | 0 | 1.135796 | 1.265628 | 9.98e-05 | 0:09:45 | 2:00:18 | Gen 0.878742 | Align 1.285270
49
+ 800 | 0 | 1.157520 | 1.258871 | 9.98e-05 | 0:10:20 | 1:58:57 | Gen 0.913070 | Align 1.222250
50
+ 850 | 0 | 1.250895 | 1.258402 | 9.97e-05 | 0:10:56 | 1:57:42 | Gen 0.997196 | Align 1.268495
51
+ 900 | 0 | 1.202105 | 1.255274 | 9.96e-05 | 0:11:31 | 1:56:31 | Gen 0.954097 | Align 1.240040
52
+ 950 | 0 | 1.132340 | 1.248804 | 9.94e-05 | 0:12:06 | 1:55:23 | Gen 0.884172 | Align 1.240842
53
+ 1000 | 0 | 1.152287 | 1.243978 | 9.93e-05 | 0:12:42 | 1:54:19 | Gen 0.903412 | Align 1.244376
54
+ [06:02:23] Generating 16 validation images ...
55
+ [06:02:37] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0001000.png
56
+ 1050 | 0 | 1.134317 | 1.238756 | 9.92e-05 | 0:13:37 | 1:56:08 | Gen 0.901149 | Align 1.165840
57
+ 1100 | 0 | 1.123318 | 1.233509 | 9.90e-05 | 0:14:12 | 1:55:00 | Gen 0.874471 | Align 1.244231
58
+ 1150 | 0 | 1.138805 | 1.229391 | 9.88e-05 | 0:14:48 | 1:53:56 | Gen 0.887729 | Align 1.255383
59
+ 1200 | 0 | 1.159714 | 1.226488 | 9.87e-05 | 0:15:23 | 1:52:54 | Gen 0.912597 | Align 1.235582
60
+ 1250 | 0 | 1.160986 | 1.223868 | 9.85e-05 | 0:15:59 | 1:51:54 | Gen 0.918695 | Align 1.211452
61
+ 1300 | 0 | 1.157139 | 1.221302 | 9.83e-05 | 0:16:34 | 1:50:56 | Gen 0.921466 | Align 1.178364
62
+ 1350 | 0 | 1.107673 | 1.217093 | 9.80e-05 | 0:17:10 | 1:50:00 | Gen 0.877902 | Align 1.148854
63
+ 1400 | 0 | 1.113971 | 1.213410 | 9.78e-05 | 0:17:45 | 1:49:05 | Gen 0.874554 | Align 1.197083
64
+ 1450 | 0 | 1.086614 | 1.209038 | 9.76e-05 | 0:18:21 | 1:48:12 | Gen 0.841538 | Align 1.225383
65
+ 1500 | 0 | 1.144769 | 1.206896 | 9.73e-05 | 0:18:56 | 1:47:19 | Gen 0.903322 | Align 1.207238
66
+ 1550 | 0 | 1.168423 | 1.205655 | 9.70e-05 | 0:19:31 | 1:46:28 | Gen 0.951286 | Align 1.121258
67
+ 1600 | 0 | 1.242223 | 1.206797 | 9.67e-05 | 0:20:07 | 1:45:37 | Gen 1.012465 | Align 1.226099
68
+ 1650 | 0 | 1.180152 | 1.205990 | 9.64e-05 | 0:20:42 | 1:44:48 | Gen 0.971182 | Align 1.152459
69
+ 1700 | 0 | 0.942747 | 1.198247 | 9.61e-05 | 0:21:17 | 1:43:59 | Gen 0.730291 | Align 1.210866
70
+ 1750 | 0 | 1.080176 | 1.194874 | 9.58e-05 | 0:21:53 | 1:43:11 | Gen 0.881223 | Align 1.171825
71
+ 1800 | 0 | 1.094378 | 1.192082 | 9.55e-05 | 0:22:28 | 1:42:24 | Gen 0.889677 | Align 1.246001
72
+ 1850 | 0 | 1.217386 | 1.192766 | 9.51e-05 | 0:23:04 | 1:41:38 | Gen 1.022676 | Align 1.224822
73
+ 1900 | 0 | 1.153992 | 1.191746 | 9.47e-05 | 0:23:39 | 1:40:52 | Gen 0.964896 | Align 1.229283
74
+ 1950 | 0 | 1.089826 | 1.189133 | 9.44e-05 | 0:24:15 | 1:40:07 | Gen 0.917278 | Align 1.159216
75
+ 2000 | 0 | 1.099452 | 1.186891 | 9.40e-05 | 0:24:50 | 1:39:22 | Gen 0.916569 | Align 1.269737
76
+ [06:14:34] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-2000
77
+ [06:14:35] Generating 16 validation images ...
78
+ [06:14:48] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0002000.png
79
+ 2050 | 0 | 1.076378 | 1.184195 | 9.36e-05 | 0:25:49 | 1:40:08 | Gen 0.912315 | Align 1.177166
80
+ 2100 | 0 | 0.960685 | 1.178873 | 9.32e-05 | 0:26:24 | 1:39:21 | Gen 0.804005 | Align 1.161788
81
+ 2150 | 0 | 1.117183 | 1.177439 | 9.27e-05 | 0:26:59 | 1:38:34 | Gen 0.967498 | Align 1.147031
82
+ 2200 | 0 | 1.131800 | 1.176402 | 9.23e-05 | 0:27:35 | 1:37:48 | Gen 0.985354 | Align 1.159742
83
+ 2250 | 0 | 1.055039 | 1.173705 | 9.19e-05 | 0:28:10 | 1:37:03 | Gen 0.916352 | Align 1.135022
84
+ 2300 | 0 | 1.071593 | 1.171485 | 9.14e-05 | 0:28:46 | 1:36:18 | Gen 0.930417 | Align 1.194031
85
+ 2350 | 0 | 1.041379 | 1.168717 | 9.09e-05 | 0:29:21 | 1:35:34 | Gen 0.917527 | Align 1.082541
86
+ 2400 | 0 | 1.011630 | 1.165444 | 9.05e-05 | 0:29:56 | 1:34:50 | Gen 0.880381 | Align 1.185554
87
+ 2450 | 0 | 0.853132 | 1.159070 | 9.00e-05 | 0:30:32 | 1:34:06 | Gen 0.728431 | Align 1.164077
88
+ 2500 | 0 | 1.074005 | 1.157369 | 8.95e-05 | 0:31:07 | 1:33:22 | Gen 0.946773 | Align 1.227425
89
+ 2550 | 0 | 0.946301 | 1.153230 | 8.89e-05 | 0:31:43 | 1:32:39 | Gen 0.828604 | Align 1.173417
90
+ 2600 | 0 | 1.015115 | 1.150574 | 8.84e-05 | 0:32:18 | 1:31:57 | Gen 0.905242 | Align 1.132034
91
+ 2650 | 0 | 1.055125 | 1.148773 | 8.79e-05 | 0:32:53 | 1:31:14 | Gen 0.944613 | Align 1.176693
92
+ 2700 | 0 | 0.909583 | 1.144344 | 8.73e-05 | 0:33:29 | 1:30:32 | Gen 0.814124 | Align 1.050408
93
+ 2750 | 0 | 1.091102 | 1.143376 | 8.68e-05 | 0:34:04 | 1:29:50 | Gen 0.989626 | Align 1.153970
94
+ 2800 | 0 | 1.108963 | 1.142761 | 8.62e-05 | 0:34:39 | 1:29:08 | Gen 1.007559 | Align 1.191698
95
+ 2850 | 0 | 1.088641 | 1.141812 | 8.56e-05 | 0:35:15 | 1:28:26 | Gen 0.986063 | Align 1.245815
96
+ 2900 | 0 | 0.910522 | 1.137824 | 8.51e-05 | 0:35:50 | 1:27:45 | Gen 0.821372 | Align 1.118946
97
+ 2950 | 0 | 1.097178 | 1.137135 | 8.45e-05 | 0:36:26 | 1:27:04 | Gen 1.004189 | Align 1.206144
98
+ 3000 | 0 | 1.051517 | 1.135708 | 8.39e-05 | 0:37:01 | 1:26:23 | Gen 0.965845 | Align 1.148404
99
+ [06:26:40] Generating 16 validation images ...
100
+ [06:26:53] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0003000.png
101
+ 3050 | 0 | 1.048066 | 1.134271 | 8.33e-05 | 0:37:54 | 1:26:21 | Gen 0.960939 | Align 1.206961
102
+ 3100 | 0 | 0.845223 | 1.129609 | 8.26e-05 | 0:38:29 | 1:25:40 | Gen 0.765943 | Align 1.134984
103
+ 3150 | 0 | 1.054258 | 1.128413 | 8.20e-05 | 0:39:04 | 1:24:58 | Gen 0.980218 | Align 1.095422
104
+ 3200 | 0 | 0.928096 | 1.125283 | 8.14e-05 | 0:39:40 | 1:24:17 | Gen 0.853883 | Align 1.134688
105
+ 3250 | 0 | 1.111270 | 1.125068 | 8.07e-05 | 0:40:15 | 1:23:36 | Gen 1.033127 | Align 1.234731
106
+ 3300 | 0 | 1.004457 | 1.123240 | 8.01e-05 | 0:40:50 | 1:22:55 | Gen 0.930194 | Align 1.212673
107
+ 3350 | 0 | 0.978876 | 1.121086 | 7.94e-05 | 0:41:26 | 1:22:15 | Gen 0.905578 | Align 1.236934
108
+ 3400 | 0 | 0.981266 | 1.119029 | 7.87e-05 | 0:42:01 | 1:21:34 | Gen 0.915044 | Align 1.154909
109
+ 3450 | 0 | 0.812154 | 1.114582 | 7.80e-05 | 0:42:36 | 1:20:54 | Gen 0.754142 | Align 1.045562
110
+ 3500 | 0 | 0.853716 | 1.110855 | 7.73e-05 | 0:43:12 | 1:20:14 | Gen 0.788108 | Align 1.221989
111
+ [06:33:17] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 1.119015 ---
112
+ 3550 | 1 | 1.017717 | 1.109544 | 7.67e-05 | 0:43:47 | 1:19:33 | Gen 0.950919 | Align 1.285756
113
+ 3600 | 1 | 0.913095 | 1.106815 | 7.59e-05 | 0:44:22 | 1:18:53 | Gen 0.850697 | Align 1.241250
114
+ 3650 | 1 | 0.941446 | 1.104550 | 7.52e-05 | 0:44:58 | 1:18:13 | Gen 0.883344 | Align 1.194445
115
+ 3700 | 1 | 0.906937 | 1.101879 | 7.45e-05 | 0:45:33 | 1:17:34 | Gen 0.850276 | Align 1.203779
116
+ 3750 | 1 | 0.991649 | 1.100410 | 7.38e-05 | 0:46:08 | 1:16:54 | Gen 0.937011 | Align 1.199592
117
+ 3800 | 1 | 1.085357 | 1.100212 | 7.31e-05 | 0:46:44 | 1:16:15 | Gen 1.031113 | Align 1.230772
118
+ 3850 | 1 | 0.888054 | 1.097456 | 7.23e-05 | 0:47:19 | 1:15:35 | Gen 0.836847 | Align 1.200711
119
+ 3900 | 1 | 0.879154 | 1.094657 | 7.16e-05 | 0:47:54 | 1:14:56 | Gen 0.830353 | Align 1.182573
120
+ 3950 | 1 | 0.991065 | 1.093346 | 7.08e-05 | 0:48:30 | 1:14:17 | Gen 0.945856 | Align 1.132149
121
+ 4000 | 1 | 1.062996 | 1.092967 | 7.01e-05 | 0:49:05 | 1:13:38 | Gen 1.015521 | Align 1.228666
122
+ [06:38:48] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-4000
123
+ [06:38:49] Generating 16 validation images ...
124
+ [06:39:02] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0004000.png
125
+ 4050 | 1 | 0.978116 | 1.091549 | 6.93e-05 | 0:50:02 | 1:13:31 | Gen 0.935896 | Align 1.129206
126
+ 4100 | 1 | 0.848476 | 1.088585 | 6.86e-05 | 0:50:38 | 1:12:52 | Gen 0.806043 | Align 1.172876
127
+ 4150 | 1 | 0.921336 | 1.086570 | 6.78e-05 | 0:51:13 | 1:12:12 | Gen 0.882659 | Align 1.104797
128
+ 4200 | 1 | 0.973553 | 1.085224 | 6.70e-05 | 0:51:48 | 1:11:33 | Gen 0.933348 | Align 1.186817
129
+ 4250 | 1 | 0.912567 | 1.083193 | 6.62e-05 | 0:52:24 | 1:10:54 | Gen 0.872321 | Align 1.227764
130
+ 4300 | 1 | 1.008566 | 1.082325 | 6.55e-05 | 0:52:59 | 1:10:14 | Gen 0.973468 | Align 1.106541
131
+ 4350 | 1 | 0.943267 | 1.080727 | 6.47e-05 | 0:53:35 | 1:09:35 | Gen 0.907338 | Align 1.170611
132
+ 4400 | 1 | 0.917391 | 1.078871 | 6.39e-05 | 0:54:10 | 1:08:56 | Gen 0.882988 | Align 1.158361
133
+ 4450 | 1 | 0.959193 | 1.077526 | 6.31e-05 | 0:54:45 | 1:08:17 | Gen 0.925688 | Align 1.165856
134
+ 4500 | 1 | 1.015812 | 1.076840 | 6.23e-05 | 0:55:21 | 1:07:39 | Gen 0.982723 | Align 1.189900
135
+ 4550 | 1 | 0.882409 | 1.074704 | 6.15e-05 | 0:55:56 | 1:07:00 | Gen 0.850170 | Align 1.198110
136
+ 4600 | 1 | 0.946427 | 1.073309 | 6.07e-05 | 0:56:31 | 1:06:21 | Gen 0.915556 | Align 1.185644
137
+ 4650 | 1 | 0.987572 | 1.072387 | 5.99e-05 | 0:57:07 | 1:05:43 | Gen 0.958179 | Align 1.166595
138
+ 4700 | 1 | 0.906241 | 1.070620 | 5.90e-05 | 0:57:42 | 1:05:04 | Gen 0.876812 | Align 1.207091
139
+ 4750 | 1 | 1.021646 | 1.070104 | 5.82e-05 | 0:58:17 | 1:04:26 | Gen 0.993027 | Align 1.213124
140
+ 4800 | 1 | 0.870378 | 1.068024 | 5.74e-05 | 0:58:53 | 1:03:47 | Gen 0.842141 | Align 1.236956
141
+ 4850 | 1 | 0.931136 | 1.066613 | 5.66e-05 | 0:59:28 | 1:03:09 | Gen 0.905414 | Align 1.164510
142
+ 4900 | 1 | 0.833229 | 1.064231 | 5.58e-05 | 1:00:03 | 1:02:31 | Gen 0.808099 | Align 1.175754
143
+ 4950 | 1 | 1.029554 | 1.063881 | 5.50e-05 | 1:00:39 | 1:01:52 | Gen 1.004428 | Align 1.214845
144
+ 5000 | 1 | 0.938461 | 1.062627 | 5.41e-05 | 1:01:14 | 1:01:14 | Gen 0.915387 | Align 1.152952
145
+ [06:50:53] Generating 16 validation images ...
146
+ [06:51:06] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0005000.png
147
+ 5050 | 1 | 0.929614 | 1.058114 | 5.33e-05 | 1:02:06 | 1:00:53 | Gen 0.906807 | Align 1.177703
148
+ 5100 | 1 | 0.928640 | 1.052590 | 5.25e-05 | 1:02:42 | 1:00:14 | Gen 0.906568 | Align 1.177898
149
+ 5150 | 1 | 1.071045 | 1.049112 | 5.17e-05 | 1:03:17 | 0:59:36 | Gen 1.049446 | Align 1.191170
150
+ 5200 | 1 | 0.836910 | 1.043318 | 5.08e-05 | 1:03:52 | 0:58:58 | Gen 0.816515 | Align 1.162398
151
+ 5250 | 1 | 0.883685 | 1.039651 | 5.00e-05 | 1:04:28 | 0:58:19 | Gen 0.863092 | Align 1.212924
152
+ 5300 | 1 | 0.880413 | 1.035245 | 4.92e-05 | 1:05:03 | 0:57:41 | Gen 0.860406 | Align 1.217822
153
+ 5350 | 1 | 1.029163 | 1.031857 | 4.83e-05 | 1:05:38 | 0:57:03 | Gen 1.009681 | Align 1.225532
154
+ 5400 | 1 | 0.791069 | 1.026718 | 4.75e-05 | 1:06:14 | 0:56:25 | Gen 0.773139 | Align 1.165590
155
+ 5450 | 1 | 0.997620 | 1.024844 | 4.67e-05 | 1:06:49 | 0:55:47 | Gen 0.980276 | Align 1.165225
156
+ 5500 | 1 | 0.962292 | 1.022037 | 4.59e-05 | 1:07:25 | 0:55:09 | Gen 0.945997 | Align 1.131398
157
+ 5550 | 1 | 0.910457 | 1.021481 | 4.50e-05 | 1:08:00 | 0:54:31 | Gen 0.894551 | Align 1.141259
158
+ 5600 | 1 | 0.979256 | 1.019962 | 4.42e-05 | 1:08:35 | 0:53:53 | Gen 0.962882 | Align 1.214116
159
+ 5650 | 1 | 0.966087 | 1.017549 | 4.34e-05 | 1:09:11 | 0:53:15 | Gen 0.950960 | Align 1.159230
160
+ 5700 | 1 | 0.901232 | 1.014815 | 4.26e-05 | 1:09:46 | 0:52:38 | Gen 0.885791 | Align 1.222788
161
+ 5750 | 1 | 0.943892 | 1.012896 | 4.18e-05 | 1:10:22 | 0:52:00 | Gen 0.928383 | Align 1.269299
162
+ 5800 | 1 | 0.916236 | 1.010484 | 4.10e-05 | 1:10:57 | 0:51:23 | Gen 0.902263 | Align 1.181787
163
+ 5850 | 1 | 0.945961 | 1.007434 | 4.01e-05 | 1:11:32 | 0:50:45 | Gen 0.932971 | Align 1.135362
164
+ 5900 | 1 | 1.043679 | 1.005850 | 3.93e-05 | 1:12:08 | 0:50:07 | Gen 1.030776 | Align 1.165533
165
+ 5950 | 1 | 0.795880 | 1.002485 | 3.85e-05 | 1:12:43 | 0:49:30 | Gen 0.783017 | Align 1.200694
166
+ 6000 | 1 | 1.008642 | 1.001049 | 3.77e-05 | 1:13:19 | 0:48:52 | Gen 0.996852 | Align 1.137404
167
+ [07:03:02] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-6000
168
+ [07:03:03] Generating 16 validation images ...
169
+ [07:03:16] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0006000.png
170
+ 6050 | 1 | 0.838600 | 0.998092 | 3.69e-05 | 1:14:16 | 0:48:29 | Gen 0.826315 | Align 1.224833
171
+ 6100 | 1 | 0.984584 | 0.996704 | 3.61e-05 | 1:14:52 | 0:47:51 | Gen 0.972689 | Align 1.225545
172
+ 6150 | 1 | 1.053251 | 0.995849 | 3.53e-05 | 1:15:27 | 0:47:14 | Gen 1.041752 | Align 1.224368
173
+ 6200 | 1 | 0.922402 | 0.993476 | 3.45e-05 | 1:16:02 | 0:46:36 | Gen 0.911636 | Align 1.184743
174
+ 6250 | 1 | 0.929603 | 0.991162 | 3.38e-05 | 1:16:38 | 0:45:58 | Gen 0.918685 | Align 1.241508
175
+ 6300 | 1 | 0.920543 | 0.988796 | 3.30e-05 | 1:17:13 | 0:45:21 | Gen 0.909843 | Align 1.257414
176
+ 6350 | 1 | 0.992506 | 0.987644 | 3.22e-05 | 1:17:48 | 0:44:43 | Gen 0.982681 | Align 1.193278
177
+ 6400 | 1 | 0.985782 | 0.986362 | 3.14e-05 | 1:18:24 | 0:44:06 | Gen 0.976732 | Align 1.135787
178
+ 6450 | 1 | 0.870576 | 0.984202 | 3.07e-05 | 1:18:59 | 0:43:28 | Gen 0.861748 | Align 1.145146
179
+ 6500 | 1 | 0.798922 | 0.980743 | 2.99e-05 | 1:19:34 | 0:42:51 | Gen 0.790072 | Align 1.186246
180
+ 6550 | 1 | 1.040442 | 0.979464 | 2.92e-05 | 1:20:10 | 0:42:13 | Gen 1.031146 | Align 1.287741
181
+ 6600 | 1 | 0.946005 | 0.976501 | 2.84e-05 | 1:20:45 | 0:41:36 | Gen 0.937484 | Align 1.219779
182
+ 6650 | 1 | 0.924361 | 0.973944 | 2.77e-05 | 1:21:20 | 0:40:58 | Gen 0.916085 | Align 1.224403
183
+ 6700 | 1 | 0.958205 | 0.974098 | 2.69e-05 | 1:21:56 | 0:40:21 | Gen 0.950107 | Align 1.238260
184
+ 6750 | 1 | 0.866516 | 0.971962 | 2.62e-05 | 1:22:31 | 0:39:44 | Gen 0.858913 | Align 1.201216
185
+ 6800 | 1 | 1.021076 | 0.971229 | 2.55e-05 | 1:23:06 | 0:39:06 | Gen 1.013268 | Align 1.275059
186
+ 6850 | 1 | 0.947118 | 0.968526 | 2.48e-05 | 1:23:42 | 0:38:29 | Gen 0.940656 | Align 1.090438
187
+ 6900 | 1 | 0.980758 | 0.966794 | 2.41e-05 | 1:24:17 | 0:37:52 | Gen 0.973496 | Align 1.266537
188
+ 6950 | 1 | 0.897505 | 0.964870 | 2.33e-05 | 1:24:53 | 0:37:15 | Gen 0.891444 | Align 1.092381
189
+ 7000 | 1 | 0.950783 | 0.963384 | 2.27e-05 | 1:25:28 | 0:36:37 | Gen 0.944128 | Align 1.239632
190
+ [07:15:07] Generating 16 validation images ...
191
+ [07:15:20] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0007000.png
192
+ 7050 | 1 | 0.712222 | 0.959742 | 2.20e-05 | 1:26:20 | 0:36:07 | Gen 0.706369 | Align 1.126547
193
+ [07:16:18] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.942086 ---
194
+ 7100 | 2 | 1.055383 | 0.960689 | 2.13e-05 | 1:26:55 | 0:35:30 | Gen 1.049323 | Align 1.205496
195
+ 7150 | 2 | 1.011303 | 0.959630 | 2.06e-05 | 1:27:30 | 0:34:53 | Gen 1.005566 | Align 1.179412
196
+ 7200 | 2 | 1.004446 | 0.958357 | 1.99e-05 | 1:28:06 | 0:34:15 | Gen 0.998646 | Align 1.232143
197
+ 7250 | 2 | 0.989968 | 0.957706 | 1.93e-05 | 1:28:41 | 0:33:38 | Gen 0.984470 | Align 1.207142
198
+ 7300 | 2 | 0.918714 | 0.956177 | 1.86e-05 | 1:29:17 | 0:33:01 | Gen 0.913572 | Align 1.166760
199
+ 7350 | 2 | 0.975091 | 0.955514 | 1.80e-05 | 1:29:52 | 0:32:24 | Gen 0.969781 | Align 1.245048
200
+ 7400 | 2 | 0.956407 | 0.954962 | 1.74e-05 | 1:30:27 | 0:31:47 | Gen 0.951294 | Align 1.239129
201
+ 7450 | 2 | 0.912405 | 0.955555 | 1.67e-05 | 1:31:03 | 0:31:09 | Gen 0.907727 | Align 1.171481
202
+ 7500 | 2 | 0.916220 | 0.953977 | 1.61e-05 | 1:31:38 | 0:30:32 | Gen 0.911768 | Align 1.152343
203
+ 7550 | 2 | 0.865165 | 0.953166 | 1.55e-05 | 1:32:13 | 0:29:55 | Gen 0.860947 | Align 1.128040
204
+ 7600 | 2 | 0.871638 | 0.951731 | 1.49e-05 | 1:32:49 | 0:29:18 | Gen 0.867487 | Align 1.147136
205
+ 7650 | 2 | 0.956907 | 0.950749 | 1.44e-05 | 1:33:24 | 0:28:41 | Gen 0.952583 | Align 1.234991
206
+ 7700 | 2 | 0.950734 | 0.951160 | 1.38e-05 | 1:33:59 | 0:28:04 | Gen 0.946388 | Align 1.282950
207
+ 7750 | 2 | 0.801046 | 0.948260 | 1.32e-05 | 1:34:35 | 0:27:27 | Gen 0.797342 | Align 1.129813
208
+ 7800 | 2 | 0.880367 | 0.945974 | 1.27e-05 | 1:35:10 | 0:26:50 | Gen 0.876814 | Align 1.119987
209
+ 7850 | 2 | 0.901065 | 0.944098 | 1.21e-05 | 1:35:45 | 0:26:13 | Gen 0.897316 | Align 1.221498
210
+ 7900 | 2 | 0.848396 | 0.943477 | 1.16e-05 | 1:36:21 | 0:25:36 | Gen 0.844792 | Align 1.213518
211
+ 7950 | 2 | 1.008914 | 0.942594 | 1.11e-05 | 1:36:56 | 0:24:59 | Gen 1.005490 | Align 1.191424
212
+ 8000 | 2 | 0.873400 | 0.940813 | 1.05e-05 | 1:37:31 | 0:24:22 | Gen 0.870272 | Align 1.124844
213
+ [07:27:14] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-8000
214
+ [07:27:15] Removed old checkpoint: checkpoint-2000
215
+ [07:27:16] Generating 16 validation images ...
216
+ [07:27:29] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0008000.png
217
+ 8050 | 2 | 0.898385 | 0.939316 | 1.00e-05 | 1:38:30 | 0:23:51 | Gen 0.895093 | Align 1.223408
218
+ 8100 | 2 | 0.898287 | 0.939847 | 9.55e-06 | 1:39:05 | 0:23:14 | Gen 0.895004 | Align 1.260800
219
+ 8150 | 2 | 0.992544 | 0.939230 | 9.07e-06 | 1:39:40 | 0:22:37 | Gen 0.989372 | Align 1.258804
220
+ 8200 | 2 | 0.961626 | 0.939565 | 8.60e-06 | 1:40:16 | 0:22:00 | Gen 0.958697 | Align 1.201501
221
+ 8250 | 2 | 0.874891 | 0.937201 | 8.14e-06 | 1:40:51 | 0:21:23 | Gen 0.872113 | Align 1.177686
222
+ 8300 | 2 | 0.810564 | 0.935262 | 7.70e-06 | 1:41:26 | 0:20:46 | Gen 0.807910 | Align 1.162732
223
+ 8350 | 2 | 0.939001 | 0.934863 | 7.26e-06 | 1:42:02 | 0:20:09 | Gen 0.936470 | Align 1.145872
224
+ 8400 | 2 | 0.810049 | 0.933151 | 6.84e-06 | 1:42:37 | 0:19:32 | Gen 0.807558 | Align 1.165410
225
+ 8450 | 2 | 0.970886 | 0.934738 | 6.43e-06 | 1:43:12 | 0:18:55 | Gen 0.968340 | Align 1.230967
226
+ 8500 | 2 | 0.779328 | 0.933995 | 6.03e-06 | 1:43:48 | 0:18:19 | Gen 0.776873 | Align 1.226910
227
+ 8550 | 2 | 0.999881 | 0.933816 | 5.64e-06 | 1:44:23 | 0:17:42 | Gen 0.997483 | Align 1.238246
228
+ 8600 | 2 | 0.941052 | 0.934096 | 5.26e-06 | 1:44:58 | 0:17:05 | Gen 0.938829 | Align 1.185974
229
+ 8650 | 2 | 0.863272 | 0.933314 | 4.90e-06 | 1:45:34 | 0:16:28 | Gen 0.861121 | Align 1.186204
230
+ 8700 | 2 | 0.857681 | 0.932822 | 4.55e-06 | 1:46:09 | 0:15:51 | Gen 0.855612 | Align 1.179182
231
+ 8750 | 2 | 0.874446 | 0.931649 | 4.21e-06 | 1:46:45 | 0:15:15 | Gen 0.872487 | Align 1.153989
232
+ 8800 | 2 | 0.915531 | 0.929951 | 3.89e-06 | 1:47:20 | 0:14:38 | Gen 0.913594 | Align 1.178780
233
+ 8850 | 2 | 0.839261 | 0.929463 | 3.57e-06 | 1:47:56 | 0:14:01 | Gen 0.837348 | Align 1.203863
234
+ 8900 | 2 | 0.912947 | 0.929801 | 3.27e-06 | 1:48:31 | 0:13:24 | Gen 0.911100 | Align 1.200328
235
+ 8950 | 2 | 0.919346 | 0.929084 | 2.98e-06 | 1:49:06 | 0:12:48 | Gen 0.917601 | Align 1.172421
236
+ 9000 | 2 | 1.035592 | 0.928810 | 2.71e-06 | 1:49:42 | 0:12:11 | Gen 1.033866 | Align 1.198606
237
+ [07:39:20] Generating 16 validation images ...
238
+ [07:39:33] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0009000.png
239
+ 9050 | 2 | 0.800203 | 0.927031 | 2.45e-06 | 1:50:34 | 0:11:36 | Gen 0.798543 | Align 1.190867
240
+ 9100 | 2 | 0.875128 | 0.927297 | 2.20e-06 | 1:51:09 | 0:10:59 | Gen 0.873417 | Align 1.268692
241
+ 9150 | 2 | 1.012898 | 0.928213 | 1.96e-06 | 1:51:44 | 0:10:22 | Gen 1.011215 | Align 1.289636
242
+ 9200 | 2 | 0.967140 | 0.928149 | 1.74e-06 | 1:52:20 | 0:09:46 | Gen 0.965657 | Align 1.174068
243
+ 9250 | 2 | 0.934704 | 0.928370 | 1.53e-06 | 1:52:55 | 0:09:09 | Gen 0.933119 | Align 1.296831
244
+ 9300 | 2 | 0.919213 | 0.927477 | 1.33e-06 | 1:53:30 | 0:08:32 | Gen 0.917669 | Align 1.305609
245
+ 9350 | 2 | 1.027420 | 0.928318 | 1.15e-06 | 1:54:06 | 0:07:55 | Gen 1.025991 | Align 1.248478
246
+ 9400 | 2 | 0.919626 | 0.928341 | 9.81e-07 | 1:54:41 | 0:07:19 | Gen 0.918288 | Align 1.208898
247
+ 9450 | 2 | 0.992591 | 0.928675 | 8.25e-07 | 1:55:16 | 0:06:42 | Gen 0.991246 | Align 1.255576
248
+ 9500 | 2 | 0.908967 | 0.927606 | 6.82e-07 | 1:55:52 | 0:06:05 | Gen 0.907691 | Align 1.231162
249
+ 9550 | 2 | 0.998530 | 0.928767 | 5.53e-07 | 1:56:27 | 0:05:29 | Gen 0.997251 | Align 1.275220
250
+ 9600 | 2 | 0.956971 | 0.928873 | 4.37e-07 | 1:57:02 | 0:04:52 | Gen 0.955831 | Align 1.175321
251
+ 9650 | 2 | 0.884526 | 0.927842 | 3.35e-07 | 1:57:37 | 0:04:15 | Gen 0.883504 | Align 1.087632
252
+ 9700 | 2 | 0.856175 | 0.927342 | 2.46e-07 | 1:58:13 | 0:03:39 | Gen 0.855143 | Align 1.135433
253
+ 9750 | 2 | 0.788561 | 0.925011 | 1.71e-07 | 1:58:48 | 0:03:02 | Gen 0.787486 | Align 1.223029
254
+ 9800 | 2 | 0.930883 | 0.925616 | 1.09e-07 | 1:59:23 | 0:02:26 | Gen 0.929871 | Align 1.188527
255
+ 9850 | 2 | 0.988485 | 0.926189 | 6.15e-08 | 1:59:59 | 0:01:49 | Gen 0.987539 | Align 1.148295
256
+ 9900 | 2 | 0.968458 | 0.927542 | 2.73e-08 | 2:00:34 | 0:01:13 | Gen 0.967556 | Align 1.131525
257
+ 9950 | 2 | 0.896911 | 0.926215 | 6.83e-09 | 2:01:09 | 0:00:36 | Gen 0.895967 | Align 1.224134
258
+ 10000 | 2 | 0.975528 | 0.926586 | 0.00e+00 | 2:01:45 | 0:00:00 | Gen 0.974591 | Align 1.255689
259
+ [07:51:29] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-10000
260
+ [07:51:30] Removed old checkpoint: checkpoint-4000
261
+ [07:51:30] Generating 16 validation images ...
262
+ [07:51:43] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0010000.png
263
+ [07:51:46] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.919026 ---
264
+ [07:51:46] Saving final model ...
265
+ [07:51:54] Pipeline saved -> RESULTS/flicker8k/run_014
266
+ [07:51:55] SRA teacher + projection head saved -> RESULTS/flicker8k/run_014/sra (both are training-only auxiliaries; not needed for inference)
267
+ [07:51:55] Generating final validation collage ...
268
+ [07:51:55] Generating 16 validation images ...
269
+ [07:52:08] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0010000.png
270
+ [07:52:11]
271
+ [07:52:11] ============================================================
272
+ [07:52:11] TRAINING SUMMARY
273
+ [07:52:11] ============================================================
274
+ [07:52:11] Total steps : 200
275
+ [07:52:11] Final loss : 0.975528
276
+ [07:52:11] Avg last 100 : 0.926586
277
+ [07:52:11] Min loss : 0.712222
278
+ [07:52:11] Total time : 2:02:33
279
+ [07:52:11] Output : RESULTS/flicker8k/run_014
280
+ [07:52:11] ============================================================
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+ "pin_memory": false,
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+ "output_dir": "RESULTS/flicker8k/run_014"
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+ "_class_name": "SanaTransformer2DModel",
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+ "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers",
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+ "timestep_scale": 1.0
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+ }
flicker8k/sana 0.6/SRA/vae/config.json ADDED
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+ }
flicker8k/sana 0.6/SpeeD/checkpoint-10000/transformer/config.json ADDED
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flicker8k/sana 0.6/SpeeD/model_index.json ADDED
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+ "_class_name": "SanaPipeline",
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+ "diffusers",
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+ "FlowMatchEulerDiscreteScheduler"
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+ "transformers",
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+ "Gemma2Model"
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+ "tokenizer": [
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+ "transformers",
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+ "GemmaTokenizer"
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+ ],
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+ "transformer": [
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+ "diffusers",
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+ "SanaTransformer2DModel"
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+ ],
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+ "vae": [
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+ "diffusers",
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+ "AutoencoderDC"
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+ ]
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+ }
flicker8k/sana 0.6/SpeeD/scheduler/scheduler_config.json ADDED
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+ "_class_name": "FlowMatchEulerDiscreteScheduler",
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+ "beta_schedule": "linear",
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+ "beta_start": 0.0001,
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+ "dynamic_thresholding_ratio": 0.995,
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+ "final_sigmas_type": "zero",
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+ "flow_shift": 3.0,
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+ "invert_sigmas": false,
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+ "lambda_min_clipped": -Infinity,
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+ "lower_order_final": true,
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+ "max_image_seq_len": 4096,
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+ "max_shift": 1.15,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "flow_prediction",
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+ "rescale_betas_zero_snr": false,
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+ "solver_type": "midpoint",
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+ "time_shift_type": "exponential",
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+ "timestep_spacing": "linspace",
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+ "use_lu_lambdas": false,
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+ "variance_type": null
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flicker8k/sana 0.6/SpeeD/text_encoder/config.json ADDED
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+ "dtype": "bfloat16",
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14
+ ],
15
+ "final_logit_softcapping": 30.0,
16
+ "head_dim": 256,
17
+ "hidden_act": "gelu_pytorch_tanh",
18
+ "hidden_activation": "gelu_pytorch_tanh",
19
+ "hidden_size": 2304,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 9216,
22
+ "layer_types": [
23
+ "sliding_attention",
24
+ "full_attention",
25
+ "sliding_attention",
26
+ "full_attention",
27
+ "sliding_attention",
28
+ "full_attention",
29
+ "sliding_attention",
30
+ "full_attention",
31
+ "sliding_attention",
32
+ "full_attention",
33
+ "sliding_attention",
34
+ "full_attention",
35
+ "sliding_attention",
36
+ "full_attention",
37
+ "sliding_attention",
38
+ "full_attention",
39
+ "sliding_attention",
40
+ "full_attention",
41
+ "sliding_attention",
42
+ "full_attention",
43
+ "sliding_attention",
44
+ "full_attention",
45
+ "sliding_attention",
46
+ "full_attention",
47
+ "sliding_attention",
48
+ "full_attention"
49
+ ],
50
+ "max_position_embeddings": 8192,
51
+ "model_type": "gemma2",
52
+ "num_attention_heads": 8,
53
+ "num_hidden_layers": 26,
54
+ "num_key_value_heads": 4,
55
+ "pad_token_id": 0,
56
+ "query_pre_attn_scalar": 256,
57
+ "rms_norm_eps": 1e-06,
58
+ "rope_parameters": {
59
+ "rope_theta": 10000.0,
60
+ "rope_type": "default"
61
+ },
62
+ "sliding_window": 4096,
63
+ "tie_word_embeddings": true,
64
+ "transformers_version": "5.9.0",
65
+ "use_bidirectional_attention": null,
66
+ "use_cache": true,
67
+ "vocab_size": 256000
68
+ }
flicker8k/sana 0.6/SpeeD/tokenizer/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
flicker8k/sana 0.6/SpeeD/tokenizer/tokenizer_config.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": "tokenizers",
3
+ "bos_token": "<bos>",
4
+ "clean_up_tokenization_spaces": false,
5
+ "eos_token": "<eos>",
6
+ "extra_special_tokens": [
7
+ "<start_of_turn>",
8
+ "<end_of_turn>"
9
+ ],
10
+ "is_local": false,
11
+ "local_files_only": false,
12
+ "mask_token": "<mask>",
13
+ "model_max_length": 1000000000000000019884624838656,
14
+ "pad_token": "<pad>",
15
+ "sp_model_kwargs": {},
16
+ "spaces_between_special_tokens": false,
17
+ "tokenizer_class": "GemmaTokenizer",
18
+ "unk_token": "<unk>",
19
+ "use_default_system_prompt": false
20
+ }
flicker8k/sana 0.6/SpeeD/training.log ADDED
@@ -0,0 +1,274 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-08-07 12:18:25
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [12:18:25] Run directory: RESULTS/flicker8k/run_009
6
+ [12:18:25] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility
7
+ [12:18:25] Loading pretrained SANA components ...
8
+ [12:18:33] SpeeD-style sampling ENABLED: lam=0.6, tau=700, meaningful band=[113, 887) of 1000
9
+ [12:18:43] Transformer params: 591,747,872 total, 591,747,872 trainable
10
+ [12:18:43] Building dataset ...
11
+ [12:18:43] Step-based training: 10000 steps (~3 epochs over dataset)
12
+ [12:18:44]
13
+ [12:18:44] ================================================================
14
+ [12:18:44] Output dir = RESULTS/flicker8k/run_009
15
+ [12:18:44] Num examples = 28315
16
+ [12:18:44] Num epochs = 3
17
+ [12:18:44] Batch/device = 8
18
+ [12:18:44] Grad accum = 1
19
+ [12:18:44] Effective BS = 8
20
+ [12:18:44] Total optim steps = 10000
21
+ [12:18:44] LR = 0.0001
22
+ [12:18:44] Precision = bf16
23
+ [12:18:44] SpeeD = True
24
+ [12:18:44] Log every = 50 steps
25
+ [12:18:44] Validate every = 1000 steps
26
+ [12:18:44] Checkpoint every = 2000 steps
27
+ [12:18:44] ================================================================
28
+ [12:18:44]
29
+ 50 | 0 | 0.808224 | 0.808224 | 1.00e-05 | 0:00:51 | 2:50:49
30
+ 100 | 0 | 0.722788 | 0.765506 | 2.00e-05 | 0:01:22 | 2:16:38
31
+ 150 | 0 | 0.756616 | 0.762542 | 3.00e-05 | 0:01:54 | 2:05:07
32
+ 200 | 0 | 0.780394 | 0.767005 | 4.00e-05 | 0:02:25 | 1:59:10
33
+ 250 | 0 | 0.678432 | 0.749291 | 5.00e-05 | 0:02:57 | 1:55:25
34
+ 300 | 0 | 0.684747 | 0.738533 | 6.00e-05 | 0:03:29 | 1:52:46
35
+ 350 | 0 | 0.746829 | 0.739718 | 7.00e-05 | 0:04:00 | 1:50:43
36
+ 400 | 0 | 0.854978 | 0.754126 | 8.00e-05 | 0:04:32 | 1:49:03
37
+ 450 | 0 | 0.699116 | 0.748014 | 9.00e-05 | 0:05:04 | 1:47:39
38
+ 500 | 0 | 0.861589 | 0.759371 | 1.00e-04 | 0:05:36 | 1:46:26
39
+ 550 | 0 | 0.822751 | 0.765133 | 1.00e-04 | 0:06:07 | 1:45:20
40
+ 600 | 0 | 0.877246 | 0.774476 | 1.00e-04 | 0:06:39 | 1:44:20
41
+ 650 | 0 | 0.861767 | 0.781190 | 9.99e-05 | 0:07:11 | 1:43:24
42
+ 700 | 0 | 0.697819 | 0.775235 | 9.99e-05 | 0:07:43 | 1:42:32
43
+ 750 | 0 | 0.764015 | 0.774487 | 9.98e-05 | 0:08:14 | 1:41:42
44
+ 800 | 0 | 0.687307 | 0.769039 | 9.98e-05 | 0:08:46 | 1:40:55
45
+ 850 | 0 | 0.855360 | 0.774116 | 9.97e-05 | 0:09:18 | 1:40:12
46
+ 900 | 0 | 0.721951 | 0.771218 | 9.96e-05 | 0:09:50 | 1:39:29
47
+ 950 | 0 | 0.814594 | 0.773501 | 9.94e-05 | 0:10:22 | 1:38:47
48
+ 1000 | 0 | 0.685169 | 0.769085 | 9.93e-05 | 0:10:53 | 1:38:05
49
+ [12:29:19] Generating 16 validation images ...
50
+ [12:29:32] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0001000.png
51
+ 1050 | 0 | 0.707684 | 0.766161 | 9.92e-05 | 0:11:38 | 1:39:17
52
+ 1100 | 0 | 0.808783 | 0.768098 | 9.90e-05 | 0:12:10 | 1:38:31
53
+ 1150 | 0 | 0.794291 | 0.769237 | 9.88e-05 | 0:12:42 | 1:37:47
54
+ 1200 | 0 | 0.896761 | 0.774550 | 9.87e-05 | 0:13:14 | 1:37:04
55
+ 1250 | 0 | 0.787381 | 0.775064 | 9.85e-05 | 0:13:46 | 1:36:22
56
+ 1300 | 0 | 0.708903 | 0.772519 | 9.83e-05 | 0:14:17 | 1:35:41
57
+ 1350 | 0 | 0.740343 | 0.771327 | 9.80e-05 | 0:14:49 | 1:35:00
58
+ 1400 | 0 | 0.923129 | 0.776749 | 9.78e-05 | 0:15:21 | 1:34:20
59
+ 1450 | 0 | 0.789207 | 0.777178 | 9.76e-05 | 0:15:53 | 1:33:40
60
+ 1500 | 0 | 0.730929 | 0.775637 | 9.73e-05 | 0:16:24 | 1:33:01
61
+ 1550 | 0 | 0.717414 | 0.773759 | 9.70e-05 | 0:16:56 | 1:32:22
62
+ 1600 | 0 | 0.785085 | 0.774113 | 9.67e-05 | 0:17:28 | 1:31:44
63
+ 1650 | 0 | 0.790526 | 0.774610 | 9.64e-05 | 0:18:00 | 1:31:06
64
+ 1700 | 0 | 0.788793 | 0.775027 | 9.61e-05 | 0:18:31 | 1:30:28
65
+ 1750 | 0 | 0.844802 | 0.777021 | 9.58e-05 | 0:19:03 | 1:29:51
66
+ 1800 | 0 | 0.690048 | 0.774605 | 9.55e-05 | 0:19:35 | 1:29:14
67
+ 1850 | 0 | 0.938844 | 0.779044 | 9.51e-05 | 0:20:07 | 1:28:37
68
+ 1900 | 0 | 0.843289 | 0.780734 | 9.47e-05 | 0:20:38 | 1:28:00
69
+ 1950 | 0 | 0.669767 | 0.777889 | 9.44e-05 | 0:21:10 | 1:27:24
70
+ 2000 | 0 | 0.813178 | 0.778771 | 9.40e-05 | 0:21:42 | 1:26:48
71
+ [12:40:12] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-2000
72
+ [12:40:12] Generating 16 validation images ...
73
+ [12:40:25] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0002000.png
74
+ 2050 | 0 | 0.793905 | 0.779140 | 9.36e-05 | 0:22:31 | 1:27:22
75
+ 2100 | 0 | 0.707697 | 0.777439 | 9.32e-05 | 0:23:03 | 1:26:44
76
+ 2150 | 0 | 0.749928 | 0.776799 | 9.27e-05 | 0:23:35 | 1:26:07
77
+ 2200 | 0 | 0.894624 | 0.779477 | 9.23e-05 | 0:24:06 | 1:25:30
78
+ 2250 | 0 | 0.895517 | 0.782056 | 9.19e-05 | 0:24:38 | 1:24:53
79
+ 2300 | 0 | 0.811453 | 0.782695 | 9.14e-05 | 0:25:10 | 1:24:16
80
+ 2350 | 0 | 0.812381 | 0.783327 | 9.09e-05 | 0:25:42 | 1:23:39
81
+ 2400 | 0 | 0.770971 | 0.783069 | 9.05e-05 | 0:26:13 | 1:23:03
82
+ 2450 | 0 | 0.753664 | 0.782469 | 9.00e-05 | 0:26:45 | 1:22:27
83
+ 2500 | 0 | 0.739154 | 0.781603 | 8.95e-05 | 0:27:17 | 1:21:51
84
+ 2550 | 0 | 0.846645 | 0.782878 | 8.89e-05 | 0:27:48 | 1:21:15
85
+ 2600 | 0 | 0.826400 | 0.783715 | 8.84e-05 | 0:28:20 | 1:20:40
86
+ 2650 | 0 | 0.810974 | 0.784229 | 8.79e-05 | 0:28:52 | 1:20:04
87
+ 2700 | 0 | 0.643818 | 0.781629 | 8.73e-05 | 0:29:24 | 1:19:29
88
+ 2750 | 0 | 0.749486 | 0.781045 | 8.68e-05 | 0:29:55 | 1:18:54
89
+ 2800 | 0 | 0.860920 | 0.782471 | 8.62e-05 | 0:30:27 | 1:18:19
90
+ 2850 | 0 | 0.749331 | 0.781890 | 8.56e-05 | 0:30:59 | 1:17:44
91
+ 2900 | 0 | 0.848796 | 0.783043 | 8.51e-05 | 0:31:30 | 1:17:09
92
+ 2950 | 0 | 0.780514 | 0.783000 | 8.45e-05 | 0:32:02 | 1:16:34
93
+ 3000 | 0 | 0.788997 | 0.783100 | 8.39e-05 | 0:32:34 | 1:16:00
94
+ [12:51:00] Generating 16 validation images ...
95
+ [12:51:12] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0003000.png
96
+ 3050 | 0 | 0.769973 | 0.782885 | 8.33e-05 | 0:33:18 | 1:15:54
97
+ 3100 | 0 | 0.845306 | 0.783892 | 8.26e-05 | 0:33:50 | 1:15:19
98
+ 3150 | 0 | 0.811288 | 0.784327 | 8.20e-05 | 0:34:22 | 1:14:44
99
+ 3200 | 0 | 0.803350 | 0.784624 | 8.14e-05 | 0:34:53 | 1:14:09
100
+ 3250 | 0 | 0.886719 | 0.786195 | 8.07e-05 | 0:35:25 | 1:13:34
101
+ 3300 | 0 | 0.746581 | 0.785595 | 8.01e-05 | 0:35:57 | 1:12:59
102
+ 3350 | 0 | 0.640409 | 0.783428 | 7.94e-05 | 0:36:28 | 1:12:25
103
+ 3400 | 0 | 0.800720 | 0.783682 | 7.87e-05 | 0:37:00 | 1:11:50
104
+ 3450 | 0 | 0.710925 | 0.782627 | 7.80e-05 | 0:37:32 | 1:11:16
105
+ 3500 | 0 | 0.764170 | 0.782364 | 7.73e-05 | 0:38:04 | 1:10:41
106
+ [12:56:54] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.795949 ---
107
+ 3550 | 1 | 0.797755 | 0.782581 | 7.67e-05 | 0:38:35 | 1:10:07
108
+ 3600 | 1 | 0.729716 | 0.781846 | 7.59e-05 | 0:39:07 | 1:09:33
109
+ 3650 | 1 | 0.732702 | 0.781173 | 7.52e-05 | 0:39:39 | 1:08:58
110
+ 3700 | 1 | 0.739614 | 0.780611 | 7.45e-05 | 0:40:10 | 1:08:24
111
+ 3750 | 1 | 0.740284 | 0.780074 | 7.38e-05 | 0:40:42 | 1:07:50
112
+ 3800 | 1 | 0.880866 | 0.781400 | 7.31e-05 | 0:41:14 | 1:07:16
113
+ 3850 | 1 | 0.832344 | 0.782062 | 7.23e-05 | 0:41:45 | 1:06:42
114
+ 3900 | 1 | 0.834182 | 0.782730 | 7.16e-05 | 0:42:17 | 1:06:09
115
+ 3950 | 1 | 0.757136 | 0.782406 | 7.08e-05 | 0:42:49 | 1:05:35
116
+ 4000 | 1 | 0.783808 | 0.782423 | 7.01e-05 | 0:43:21 | 1:05:01
117
+ [13:01:51] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-4000
118
+ [13:01:51] Generating 16 validation images ...
119
+ [13:02:03] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0004000.png
120
+ 4050 | 1 | 0.659548 | 0.780906 | 6.93e-05 | 0:44:10 | 1:04:53
121
+ 4100 | 1 | 0.931151 | 0.782739 | 6.86e-05 | 0:44:41 | 1:04:19
122
+ 4150 | 1 | 0.830944 | 0.783319 | 6.78e-05 | 0:45:13 | 1:03:45
123
+ 4200 | 1 | 0.898241 | 0.784688 | 6.70e-05 | 0:45:45 | 1:03:11
124
+ 4250 | 1 | 0.805880 | 0.784937 | 6.62e-05 | 0:46:16 | 1:02:37
125
+ 4300 | 1 | 0.787869 | 0.784971 | 6.55e-05 | 0:46:48 | 1:02:03
126
+ 4350 | 1 | 0.770269 | 0.784802 | 6.47e-05 | 0:47:20 | 1:01:29
127
+ 4400 | 1 | 0.716846 | 0.784030 | 6.39e-05 | 0:47:52 | 1:00:55
128
+ 4450 | 1 | 0.741838 | 0.783556 | 6.31e-05 | 0:48:23 | 1:00:21
129
+ 4500 | 1 | 0.806766 | 0.783814 | 6.23e-05 | 0:48:55 | 0:59:47
130
+ 4550 | 1 | 0.731981 | 0.783244 | 6.15e-05 | 0:49:27 | 0:59:14
131
+ 4600 | 1 | 0.752926 | 0.782914 | 6.07e-05 | 0:49:59 | 0:58:40
132
+ 4650 | 1 | 0.775657 | 0.782836 | 5.99e-05 | 0:50:30 | 0:58:06
133
+ 4700 | 1 | 0.896569 | 0.784046 | 5.90e-05 | 0:51:02 | 0:57:33
134
+ 4750 | 1 | 0.890062 | 0.785162 | 5.82e-05 | 0:51:34 | 0:56:59
135
+ 4800 | 1 | 0.871966 | 0.786066 | 5.74e-05 | 0:52:05 | 0:56:26
136
+ 4850 | 1 | 0.762685 | 0.785825 | 5.66e-05 | 0:52:37 | 0:55:52
137
+ 4900 | 1 | 0.766519 | 0.785628 | 5.58e-05 | 0:53:09 | 0:55:19
138
+ 4950 | 1 | 0.808651 | 0.785861 | 5.50e-05 | 0:53:41 | 0:54:46
139
+ 5000 | 1 | 0.767909 | 0.785681 | 5.41e-05 | 0:54:12 | 0:54:12
140
+ [13:12:38] Generating 16 validation images ...
141
+ [13:12:50] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0005000.png
142
+ 5050 | 1 | 0.805715 | 0.785656 | 5.33e-05 | 0:54:57 | 0:53:51
143
+ 5100 | 1 | 0.771477 | 0.786143 | 5.25e-05 | 0:55:28 | 0:53:18
144
+ 5150 | 1 | 0.711482 | 0.785692 | 5.17e-05 | 0:56:00 | 0:52:44
145
+ 5200 | 1 | 0.842553 | 0.786313 | 5.08e-05 | 0:56:32 | 0:52:11
146
+ 5250 | 1 | 0.703980 | 0.786569 | 5.00e-05 | 0:57:03 | 0:51:37
147
+ 5300 | 1 | 0.711915 | 0.786841 | 4.92e-05 | 0:57:35 | 0:51:04
148
+ 5350 | 1 | 0.672139 | 0.786094 | 4.83e-05 | 0:58:07 | 0:50:31
149
+ 5400 | 1 | 0.843081 | 0.785975 | 4.75e-05 | 0:58:39 | 0:49:57
150
+ 5450 | 1 | 0.729460 | 0.786278 | 4.67e-05 | 0:59:10 | 0:49:24
151
+ 5500 | 1 | 0.778208 | 0.785444 | 4.59e-05 | 0:59:42 | 0:48:51
152
+ 5550 | 1 | 0.720328 | 0.784420 | 4.50e-05 | 1:00:14 | 0:48:17
153
+ 5600 | 1 | 0.730791 | 0.782956 | 4.42e-05 | 1:00:45 | 0:47:44
154
+ 5650 | 1 | 0.948835 | 0.783826 | 4.34e-05 | 1:01:17 | 0:47:11
155
+ 5700 | 1 | 0.753717 | 0.784385 | 4.26e-05 | 1:01:49 | 0:46:38
156
+ 5750 | 1 | 0.841166 | 0.785157 | 4.18e-05 | 1:02:21 | 0:46:05
157
+ 5800 | 1 | 0.708028 | 0.785364 | 4.10e-05 | 1:02:52 | 0:45:32
158
+ 5850 | 1 | 0.889065 | 0.785701 | 4.01e-05 | 1:03:24 | 0:44:58
159
+ 5900 | 1 | 0.720518 | 0.785687 | 3.93e-05 | 1:03:56 | 0:44:25
160
+ 5950 | 1 | 0.880198 | 0.786343 | 3.85e-05 | 1:04:28 | 0:43:52
161
+ 6000 | 1 | 0.789251 | 0.787384 | 3.77e-05 | 1:04:59 | 0:43:19
162
+ [13:23:29] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-6000
163
+ [13:23:29] Generating 16 validation images ...
164
+ [13:23:41] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0006000.png
165
+ 6050 | 1 | 0.648481 | 0.786792 | 3.69e-05 | 1:05:48 | 0:42:57
166
+ 6100 | 1 | 0.772001 | 0.786424 | 3.61e-05 | 1:06:20 | 0:42:24
167
+ 6150 | 1 | 0.862018 | 0.787101 | 3.53e-05 | 1:06:51 | 0:41:51
168
+ 6200 | 1 | 0.892951 | 0.787063 | 3.45e-05 | 1:07:23 | 0:41:18
169
+ 6250 | 1 | 0.834532 | 0.787534 | 3.38e-05 | 1:07:55 | 0:40:45
170
+ 6300 | 1 | 0.745787 | 0.787903 | 3.30e-05 | 1:08:26 | 0:40:12
171
+ 6350 | 1 | 0.683903 | 0.787339 | 3.22e-05 | 1:08:58 | 0:39:38
172
+ 6400 | 1 | 0.807916 | 0.786187 | 3.14e-05 | 1:09:30 | 0:39:05
173
+ 6450 | 1 | 0.745757 | 0.785752 | 3.07e-05 | 1:10:02 | 0:38:32
174
+ 6500 | 1 | 0.734162 | 0.785785 | 2.99e-05 | 1:10:33 | 0:37:59
175
+ 6550 | 1 | 0.726274 | 0.785873 | 2.92e-05 | 1:11:05 | 0:37:26
176
+ 6600 | 1 | 0.833468 | 0.786357 | 2.84e-05 | 1:11:37 | 0:36:53
177
+ 6650 | 1 | 0.695314 | 0.785405 | 2.77e-05 | 1:12:09 | 0:36:20
178
+ 6700 | 1 | 0.884165 | 0.786359 | 2.69e-05 | 1:12:40 | 0:35:47
179
+ 6750 | 1 | 0.846501 | 0.786376 | 2.62e-05 | 1:13:12 | 0:35:14
180
+ 6800 | 1 | 0.777664 | 0.787252 | 2.55e-05 | 1:13:44 | 0:34:41
181
+ 6850 | 1 | 0.811696 | 0.785980 | 2.48e-05 | 1:14:15 | 0:34:09
182
+ 6900 | 1 | 0.918991 | 0.786737 | 2.41e-05 | 1:14:47 | 0:33:36
183
+ 6950 | 1 | 0.874523 | 0.788785 | 2.33e-05 | 1:15:19 | 0:33:03
184
+ 7000 | 1 | 0.783533 | 0.788488 | 2.27e-05 | 1:15:51 | 0:32:30
185
+ [13:34:16] Generating 16 validation images ...
186
+ [13:34:28] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0007000.png
187
+ 7050 | 1 | 0.811218 | 0.788662 | 2.20e-05 | 1:16:35 | 0:32:02
188
+ [13:35:19] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.793397 ---
189
+ 7100 | 2 | 0.848342 | 0.790068 | 2.13e-05 | 1:17:07 | 0:31:29
190
+ 7150 | 2 | 0.685431 | 0.789423 | 2.06e-05 | 1:17:38 | 0:30:57
191
+ 7200 | 2 | 0.733797 | 0.787815 | 1.99e-05 | 1:18:10 | 0:30:24
192
+ 7250 | 2 | 0.906518 | 0.787925 | 1.93e-05 | 1:18:42 | 0:29:51
193
+ 7300 | 2 | 0.701378 | 0.786824 | 1.86e-05 | 1:19:13 | 0:29:18
194
+ 7350 | 2 | 0.871117 | 0.787411 | 1.80e-05 | 1:19:45 | 0:28:45
195
+ 7400 | 2 | 0.823454 | 0.787936 | 1.74e-05 | 1:20:17 | 0:28:12
196
+ 7450 | 2 | 0.727937 | 0.787679 | 1.67e-05 | 1:20:49 | 0:27:39
197
+ 7500 | 2 | 0.824877 | 0.788536 | 1.61e-05 | 1:21:20 | 0:27:06
198
+ 7550 | 2 | 0.887444 | 0.788944 | 1.55e-05 | 1:21:52 | 0:26:34
199
+ 7600 | 2 | 0.820222 | 0.788882 | 1.49e-05 | 1:22:24 | 0:26:01
200
+ 7650 | 2 | 0.828859 | 0.789061 | 1.44e-05 | 1:22:55 | 0:25:28
201
+ 7700 | 2 | 0.613240 | 0.788755 | 1.38e-05 | 1:23:27 | 0:24:55
202
+ 7750 | 2 | 0.908821 | 0.790349 | 1.32e-05 | 1:23:59 | 0:24:23
203
+ 7800 | 2 | 0.878841 | 0.790528 | 1.27e-05 | 1:24:31 | 0:23:50
204
+ 7850 | 2 | 0.786636 | 0.790901 | 1.21e-05 | 1:25:02 | 0:23:17
205
+ 7900 | 2 | 0.770148 | 0.790115 | 1.16e-05 | 1:25:34 | 0:22:44
206
+ 7950 | 2 | 0.738976 | 0.789699 | 1.11e-05 | 1:26:06 | 0:22:12
207
+ 8000 | 2 | 0.821774 | 0.790027 | 1.05e-05 | 1:26:37 | 0:21:39
208
+ [13:45:07] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-8000
209
+ [13:45:08] Removed old checkpoint: checkpoint-2000
210
+ [13:45:08] Generating 16 validation images ...
211
+ [13:45:21] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0008000.png
212
+ 8050 | 2 | 0.776670 | 0.790094 | 1.00e-05 | 1:27:27 | 0:21:11
213
+ 8100 | 2 | 0.741148 | 0.789052 | 9.55e-06 | 1:27:59 | 0:20:38
214
+ 8150 | 2 | 0.826965 | 0.789209 | 9.07e-06 | 1:28:30 | 0:20:05
215
+ 8200 | 2 | 0.815554 | 0.789331 | 8.60e-06 | 1:29:02 | 0:19:32
216
+ 8250 | 2 | 0.698122 | 0.787445 | 8.14e-06 | 1:29:34 | 0:19:00
217
+ 8300 | 2 | 0.814337 | 0.788123 | 7.70e-06 | 1:30:06 | 0:18:27
218
+ 8350 | 2 | 0.771755 | 0.789436 | 7.26e-06 | 1:30:38 | 0:17:54
219
+ 8400 | 2 | 0.859087 | 0.790020 | 6.84e-06 | 1:31:10 | 0:17:21
220
+ 8450 | 2 | 0.711788 | 0.790029 | 6.43e-06 | 1:31:41 | 0:16:49
221
+ 8500 | 2 | 0.698048 | 0.789367 | 6.03e-06 | 1:32:13 | 0:16:16
222
+ 8550 | 2 | 0.885770 | 0.790247 | 5.64e-06 | 1:32:45 | 0:15:43
223
+ 8600 | 2 | 0.743869 | 0.790389 | 5.26e-06 | 1:33:16 | 0:15:11
224
+ 8650 | 2 | 0.787206 | 0.790934 | 4.90e-06 | 1:33:48 | 0:14:38
225
+ 8700 | 2 | 0.719189 | 0.790730 | 4.55e-06 | 1:34:20 | 0:14:05
226
+ 8750 | 2 | 0.826070 | 0.791588 | 4.21e-06 | 1:34:52 | 0:13:33
227
+ 8800 | 2 | 0.740093 | 0.790180 | 3.89e-06 | 1:35:23 | 0:13:00
228
+ 8850 | 2 | 0.808563 | 0.789942 | 3.57e-06 | 1:35:55 | 0:12:27
229
+ 8900 | 2 | 0.784933 | 0.789450 | 3.27e-06 | 1:36:27 | 0:11:55
230
+ 8950 | 2 | 0.729809 | 0.789176 | 2.98e-06 | 1:36:59 | 0:11:22
231
+ 9000 | 2 | 0.822337 | 0.789562 | 2.71e-06 | 1:37:30 | 0:10:50
232
+ [13:55:56] Generating 16 validation images ...
233
+ [13:56:09] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0009000.png
234
+ 9050 | 2 | 0.937617 | 0.792342 | 2.45e-06 | 1:38:16 | 0:10:18
235
+ 9100 | 2 | 0.806977 | 0.791101 | 2.20e-06 | 1:38:47 | 0:09:46
236
+ 9150 | 2 | 0.877086 | 0.791562 | 1.96e-06 | 1:39:19 | 0:09:13
237
+ 9200 | 2 | 0.795855 | 0.790538 | 1.74e-06 | 1:39:51 | 0:08:40
238
+ 9250 | 2 | 0.751378 | 0.789993 | 1.53e-06 | 1:40:22 | 0:08:08
239
+ 9300 | 2 | 0.799372 | 0.790108 | 1.33e-06 | 1:40:54 | 0:07:35
240
+ 9350 | 2 | 0.763395 | 0.790039 | 1.15e-06 | 1:41:26 | 0:07:03
241
+ 9400 | 2 | 0.786353 | 0.790734 | 9.81e-07 | 1:41:58 | 0:06:30
242
+ 9450 | 2 | 0.750118 | 0.790817 | 8.25e-07 | 1:42:29 | 0:05:57
243
+ 9500 | 2 | 0.775580 | 0.790505 | 6.82e-07 | 1:43:01 | 0:05:25
244
+ 9550 | 2 | 0.883804 | 0.792024 | 5.53e-07 | 1:43:33 | 0:04:52
245
+ 9600 | 2 | 0.847598 | 0.792970 | 4.37e-07 | 1:44:05 | 0:04:20
246
+ 9650 | 2 | 0.892467 | 0.794138 | 3.35e-07 | 1:44:36 | 0:03:47
247
+ 9700 | 2 | 0.813230 | 0.793305 | 2.46e-07 | 1:45:08 | 0:03:15
248
+ 9750 | 2 | 0.650583 | 0.790910 | 1.71e-07 | 1:45:40 | 0:02:42
249
+ 9800 | 2 | 0.659621 | 0.788787 | 1.09e-07 | 1:46:11 | 0:02:10
250
+ 9850 | 2 | 0.897569 | 0.790136 | 6.15e-08 | 1:46:43 | 0:01:37
251
+ 9900 | 2 | 0.901148 | 0.791482 | 2.73e-08 | 1:47:15 | 0:01:05
252
+ 9950 | 2 | 0.828837 | 0.791684 | 6.83e-09 | 1:47:47 | 0:00:32
253
+ 10000 | 2 | 0.747014 | 0.791475 | 0.00e+00 | 1:48:18 | 0:00:00
254
+ [14:06:48] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-10000
255
+ [14:06:49] Removed old checkpoint: checkpoint-4000
256
+ [14:06:50] Generating 16 validation images ...
257
+ [14:07:02] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0010000.png
258
+ [14:07:02] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.794112 ---
259
+ [14:07:02] Saving final model ...
260
+ [14:07:10] Pipeline saved -> RESULTS/flicker8k/run_009
261
+ [14:07:10] Generating final validation collage ...
262
+ [14:07:10] Generating 16 validation images ...
263
+ [14:07:22] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0010000.png
264
+ [14:07:23]
265
+ [14:07:23] ============================================================
266
+ [14:07:23] TRAINING SUMMARY
267
+ [14:07:23] ============================================================
268
+ [14:07:23] Total steps : 200
269
+ [14:07:23] Final loss : 0.747014
270
+ [14:07:23] Avg last 100 : 0.791475
271
+ [14:07:23] Min loss : 0.613240
272
+ [14:07:23] Total time : 1:48:57
273
+ [14:07:23] Output : RESULTS/flicker8k/run_009
274
+ [14:07:23] ============================================================
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flicker8k/sana 0.6/TD/model_index.json ADDED
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+ {
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+ "_class_name": "SanaPipeline",
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+ "scheduler": [
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+ "diffusers",
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+ ],
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+ "text_encoder": [
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+ "GemmaTokenizer"
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+ "transformer": [
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+ "SanaTransformer2DModel"
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+ "vae": [
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+ "diffusers",
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+ "AutoencoderDC"
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+ ]
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+ }
flicker8k/sana 0.6/TD/scheduler/scheduler_config.json ADDED
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+ "algorithm_type": "dpmsolver++",
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flicker8k/sana 0.6/TD/text_encoder/config.json ADDED
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+ {
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+ "sliding_attention",
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+ "full_attention",
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+ "sliding_attention",
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+ "sliding_attention",
46
+ "full_attention",
47
+ "sliding_attention",
48
+ "full_attention"
49
+ ],
50
+ "max_position_embeddings": 8192,
51
+ "model_type": "gemma2",
52
+ "num_attention_heads": 8,
53
+ "num_hidden_layers": 26,
54
+ "num_key_value_heads": 4,
55
+ "pad_token_id": 0,
56
+ "query_pre_attn_scalar": 256,
57
+ "rms_norm_eps": 1e-06,
58
+ "rope_parameters": {
59
+ "rope_theta": 10000.0,
60
+ "rope_type": "default"
61
+ },
62
+ "sliding_window": 4096,
63
+ "tie_word_embeddings": true,
64
+ "transformers_version": "5.9.0",
65
+ "use_bidirectional_attention": null,
66
+ "use_cache": true,
67
+ "vocab_size": 256000
68
+ }
flicker8k/sana 0.6/TD/tokenizer/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
flicker8k/sana 0.6/TD/tokenizer/tokenizer_config.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": "tokenizers",
3
+ "bos_token": "<bos>",
4
+ "clean_up_tokenization_spaces": false,
5
+ "eos_token": "<eos>",
6
+ "extra_special_tokens": [
7
+ "<start_of_turn>",
8
+ "<end_of_turn>"
9
+ ],
10
+ "is_local": false,
11
+ "local_files_only": false,
12
+ "mask_token": "<mask>",
13
+ "model_max_length": 1000000000000000019884624838656,
14
+ "pad_token": "<pad>",
15
+ "sp_model_kwargs": {},
16
+ "spaces_between_special_tokens": false,
17
+ "tokenizer_class": "GemmaTokenizer",
18
+ "unk_token": "<unk>",
19
+ "use_default_system_prompt": false
20
+ }
flicker8k/sana 0.6/TD/training.log ADDED
@@ -0,0 +1,474 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-08-10 08:41:14
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [08:41:14] Run directory: RESULTS/flicker8k/run_011
6
+ [08:41:14] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility
7
+ [08:41:14] Loading pretrained SANA components ...
8
+ [08:41:35] Transformer params: 591,747,872 total, 591,747,872 trainable
9
+ [08:41:35] 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=[0.001,1.0], rho=7.0, steps=18, sigma_data=1.0)
10
+ [08:41:35] Building dataset ...
11
+ [08:41:35] Step-based training: 10000 steps (~3 epochs over dataset)
12
+ [08:41:35]
13
+ [08:41:35] ================================================================
14
+ [08:41:35] Output dir = RESULTS/flicker8k/run_011
15
+ [08:41:35] Num examples = 28315
16
+ [08:41:35] Num epochs = 3
17
+ [08:41:35] Batch/device = 8
18
+ [08:41:35] Grad accum = 1
19
+ [08:41:35] Effective BS = 8
20
+ [08:41:35] Total optim steps = 10000
21
+ [08:41:35] LR = 0.0001
22
+ [08:41:35] Precision = bf16
23
+ [08:41:35] TD = True
24
+ [08:41:35] Log every = 50 steps
25
+ [08:41:35] Validate every = 1000 steps
26
+ [08:41:35] Checkpoint every = 2000 steps
27
+ [08:41:35] ================================================================
28
+ [08:41:35]
29
+ 50 | 0 | 0.967152 | 0.967152 | 1.00e-05 | 0:01:00 | 3:21:51
30
+ [08:42:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000296
31
+ 100 | 0 | 0.917843 | 0.942497 | 2.00e-05 | 0:01:35 | 2:38:16
32
+ [08:42:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000336
33
+ 150 | 0 | 0.933870 | 0.939622 | 3.00e-05 | 0:02:11 | 2:23:37
34
+ [08:43:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000223
35
+ 200 | 0 | 0.921553 | 0.935105 | 4.00e-05 | 0:02:46 | 2:15:59
36
+ [08:44:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000270
37
+ 250 | 0 | 0.889938 | 0.926071 | 5.00e-05 | 0:03:21 | 2:11:12
38
+ [08:44:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000356
39
+ 300 | 0 | 0.892860 | 0.920536 | 6.00e-05 | 0:03:57 | 2:07:51
40
+ [08:45:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000173
41
+ 350 | 0 | 0.962998 | 0.926602 | 7.00e-05 | 0:04:32 | 2:05:17
42
+ [08:45:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000109
43
+ 400 | 0 | 0.847405 | 0.916702 | 8.00e-05 | 0:05:08 | 2:03:13
44
+ [08:46:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000317
45
+ 450 | 0 | 0.908365 | 0.915776 | 9.00e-05 | 0:05:43 | 2:01:29
46
+ [08:46:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000142
47
+ 500 | 0 | 1.009380 | 0.925136 | 1.00e-04 | 0:06:18 | 1:59:59
48
+ [08:47:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000452
49
+ 550 | 0 | 0.992303 | 0.931243 | 1.00e-04 | 0:06:54 | 1:58:38
50
+ [08:48:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000202
51
+ 600 | 0 | 1.049041 | 0.941059 | 1.00e-04 | 0:07:29 | 1:57:26
52
+ [08:48:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000205
53
+ 650 | 0 | 0.972209 | 0.943455 | 9.99e-05 | 0:08:05 | 1:56:19
54
+ [08:49:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000456
55
+ 700 | 0 | 0.971823 | 0.945481 | 9.99e-05 | 0:08:40 | 1:55:16
56
+ [08:49:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000282
57
+ 750 | 0 | 0.907569 | 0.942954 | 9.98e-05 | 0:09:16 | 1:54:17
58
+ [08:50:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000265
59
+ 800 | 0 | 0.878315 | 0.938914 | 9.98e-05 | 0:09:51 | 1:53:21
60
+ [08:51:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000146
61
+ 850 | 0 | 0.952348 | 0.939704 | 9.97e-05 | 0:10:26 | 1:52:28
62
+ [08:51:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000403
63
+ 900 | 0 | 0.868995 | 0.935776 | 9.96e-05 | 0:11:02 | 1:51:36
64
+ [08:52:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000176
65
+ 950 | 0 | 1.006783 | 0.939513 | 9.94e-05 | 0:11:37 | 1:50:46
66
+ [08:52:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000247
67
+ 1000 | 0 | 0.822443 | 0.933660 | 9.93e-05 | 0:12:13 | 1:49:58
68
+ [08:53:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000246
69
+ [08:53:29] Generating 16 validation images ...
70
+ [08:53:41] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0001000.png
71
+ 1050 | 0 | 0.875759 | 0.930902 | 9.92e-05 | 0:13:03 | 1:51:18
72
+ [08:54:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000191
73
+ 1100 | 0 | 0.818738 | 0.925804 | 9.90e-05 | 0:13:38 | 1:50:25
74
+ [08:54:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000480
75
+ 1150 | 0 | 0.895568 | 0.924489 | 9.88e-05 | 0:14:14 | 1:49:34
76
+ [08:55:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000218
77
+ 1200 | 0 | 0.949862 | 0.925547 | 9.87e-05 | 0:14:49 | 1:48:44
78
+ [08:56:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000682
79
+ 1250 | 0 | 0.996447 | 0.928383 | 9.85e-05 | 0:15:25 | 1:47:55
80
+ [08:56:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000094
81
+ 1300 | 0 | 1.005387 | 0.931344 | 9.83e-05 | 0:16:00 | 1:47:08
82
+ [08:57:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000143
83
+ 1350 | 0 | 0.828913 | 0.927551 | 9.80e-05 | 0:16:35 | 1:46:21
84
+ [08:57:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000313
85
+ 1400 | 0 | 1.019839 | 0.930847 | 9.78e-05 | 0:17:11 | 1:45:35
86
+ [08:58:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000333
87
+ 1450 | 0 | 0.862657 | 0.928495 | 9.76e-05 | 0:17:46 | 1:44:50
88
+ [08:59:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000412
89
+ 1500 | 0 | 0.918949 | 0.928177 | 9.73e-05 | 0:18:22 | 1:44:07
90
+ [08:59:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000244
91
+ 1550 | 0 | 0.996470 | 0.930380 | 9.70e-05 | 0:18:57 | 1:43:23
92
+ [09:00:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000229
93
+ 1600 | 0 | 0.951827 | 0.931050 | 9.67e-05 | 0:19:33 | 1:42:39
94
+ [09:00:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000309
95
+ 1650 | 0 | 0.907081 | 0.930324 | 9.64e-05 | 0:20:08 | 1:41:57
96
+ [09:01:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000286
97
+ 1700 | 0 | 0.996935 | 0.932283 | 9.61e-05 | 0:20:44 | 1:41:14
98
+ [09:01:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000268
99
+ 1750 | 0 | 1.008057 | 0.934448 | 9.58e-05 | 0:21:19 | 1:40:32
100
+ [09:02:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000364
101
+ 1800 | 0 | 0.824889 | 0.931405 | 9.55e-05 | 0:21:55 | 1:39:50
102
+ [09:03:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000341
103
+ 1850 | 0 | 0.964773 | 0.932307 | 9.51e-05 | 0:22:30 | 1:39:09
104
+ [09:03:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000586
105
+ 1900 | 0 | 0.952198 | 0.932830 | 9.47e-05 | 0:23:05 | 1:38:28
106
+ [09:04:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000400
107
+ 1950 | 0 | 1.004582 | 0.934670 | 9.44e-05 | 0:23:41 | 1:37:48
108
+ [09:04:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000276
109
+ 2000 | 0 | 0.881942 | 0.933352 | 9.40e-05 | 0:24:16 | 1:37:07
110
+ [09:05:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000289
111
+ [09:05:36] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-2000
112
+ [09:05:37] Generating 16 validation images ...
113
+ [09:05:50] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0002000.png
114
+ 2050 | 0 | 0.916521 | 0.932941 | 9.36e-05 | 0:25:12 | 1:37:47
115
+ [09:06:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000185
116
+ 2100 | 0 | 0.763180 | 0.928899 | 9.32e-05 | 0:25:48 | 1:37:04
117
+ [09:07:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000308
118
+ 2150 | 0 | 0.909857 | 0.928456 | 9.27e-05 | 0:26:23 | 1:36:22
119
+ [09:07:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000125
120
+ 2200 | 0 | 0.881470 | 0.927388 | 9.23e-05 | 0:26:59 | 1:35:40
121
+ [09:08:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000351
122
+ 2250 | 0 | 0.879524 | 0.926325 | 9.19e-05 | 0:27:34 | 1:34:59
123
+ [09:08:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000380
124
+ 2300 | 0 | 0.918020 | 0.926144 | 9.14e-05 | 0:28:10 | 1:34:18
125
+ [09:09:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000472
126
+ 2350 | 0 | 0.918884 | 0.925990 | 9.09e-05 | 0:28:45 | 1:33:37
127
+ [09:10:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000457
128
+ 2400 | 0 | 0.902791 | 0.925506 | 9.05e-05 | 0:29:21 | 1:32:57
129
+ [09:10:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000207
130
+ 2450 | 0 | 0.903066 | 0.925049 | 9.00e-05 | 0:29:56 | 1:32:17
131
+ [09:11:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000201
132
+ 2500 | 0 | 0.981439 | 0.926176 | 8.95e-05 | 0:30:32 | 1:31:37
133
+ [09:11:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000150
134
+ 2550 | 0 | 0.997101 | 0.927567 | 8.89e-05 | 0:31:07 | 1:30:57
135
+ [09:12:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000410
136
+ 2600 | 0 | 0.862906 | 0.926324 | 8.84e-05 | 0:31:43 | 1:30:17
137
+ [09:12:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000320
138
+ 2650 | 0 | 0.849630 | 0.924876 | 8.79e-05 | 0:32:18 | 1:29:37
139
+ [09:13:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000278
140
+ 2700 | 0 | 0.921924 | 0.924822 | 8.73e-05 | 0:32:54 | 1:28:58
141
+ [09:14:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000321
142
+ 2750 | 0 | 0.855519 | 0.923562 | 8.68e-05 | 0:33:29 | 1:28:18
143
+ [09:14:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000262
144
+ 2800 | 0 | 0.907634 | 0.923277 | 8.62e-05 | 0:34:05 | 1:27:39
145
+ [09:15:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000631
146
+ 2850 | 0 | 0.979973 | 0.924272 | 8.56e-05 | 0:34:40 | 1:27:00
147
+ [09:15:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000193
148
+ 2900 | 0 | 1.011881 | 0.925782 | 8.51e-05 | 0:35:16 | 1:26:21
149
+ [09:16:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000240
150
+ 2950 | 0 | 0.934300 | 0.925927 | 8.45e-05 | 0:35:51 | 1:25:42
151
+ [09:17:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000470
152
+ 3000 | 0 | 0.827690 | 0.924290 | 8.39e-05 | 0:36:27 | 1:25:04
153
+ [09:17:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000283
154
+ [09:17:43] Generating 16 validation images ...
155
+ [09:17:55] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0003000.png
156
+ 3050 | 0 | 0.906679 | 0.924001 | 8.33e-05 | 0:37:17 | 1:24:58
157
+ [09:18:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000226
158
+ 3100 | 0 | 0.947590 | 0.924381 | 8.26e-05 | 0:37:53 | 1:24:19
159
+ [09:19:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000397
160
+ 3150 | 0 | 1.056004 | 0.926471 | 8.20e-05 | 0:38:28 | 1:23:40
161
+ [09:19:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000253
162
+ 3200 | 0 | 0.935261 | 0.926608 | 8.14e-05 | 0:39:04 | 1:23:01
163
+ [09:20:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000201
164
+ 3250 | 0 | 0.876999 | 0.925845 | 8.07e-05 | 0:39:39 | 1:22:22
165
+ [09:20:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000764
166
+ 3300 | 0 | 1.015228 | 0.927199 | 8.01e-05 | 0:40:15 | 1:21:43
167
+ [09:21:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000146
168
+ 3350 | 0 | 0.880358 | 0.926500 | 7.94e-05 | 0:40:50 | 1:21:04
169
+ [09:22:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000116
170
+ 3400 | 0 | 0.940375 | 0.926704 | 7.87e-05 | 0:41:25 | 1:20:25
171
+ [09:22:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000304
172
+ 3450 | 0 | 0.907092 | 0.926420 | 7.80e-05 | 0:42:01 | 1:19:46
173
+ [09:23:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000278
174
+ 3500 | 0 | 0.940682 | 0.926623 | 7.73e-05 | 0:42:36 | 1:19:08
175
+ [09:23:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000294
176
+ [09:24:19] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.921182 ---
177
+ 3550 | 1 | 0.905686 | 0.926329 | 7.67e-05 | 0:43:11 | 1:18:29
178
+ [09:24:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000655
179
+ 3600 | 1 | 0.943770 | 0.926571 | 7.59e-05 | 0:43:47 | 1:17:50
180
+ [09:25:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000177
181
+ 3650 | 1 | 0.920596 | 0.926489 | 7.52e-05 | 0:44:22 | 1:17:12
182
+ [09:25:37] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000308
183
+ 3700 | 1 | 1.035243 | 0.927959 | 7.45e-05 | 0:44:58 | 1:16:34
184
+ [09:26:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000447
185
+ 3750 | 1 | 1.051252 | 0.929602 | 7.38e-05 | 0:45:33 | 1:15:56
186
+ [09:26:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000367
187
+ 3800 | 1 | 0.873628 | 0.928866 | 7.31e-05 | 0:46:09 | 1:15:18
188
+ [09:27:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000350
189
+ 3850 | 1 | 0.912962 | 0.928659 | 7.23e-05 | 0:46:44 | 1:14:40
190
+ [09:27:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000471
191
+ 3900 | 1 | 0.789575 | 0.926876 | 7.16e-05 | 0:47:20 | 1:14:02
192
+ [09:28:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000392
193
+ 3950 | 1 | 0.880957 | 0.926295 | 7.08e-05 | 0:47:55 | 1:13:24
194
+ [09:29:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000248
195
+ 4000 | 1 | 0.878598 | 0.925699 | 7.01e-05 | 0:48:31 | 1:12:47
196
+ [09:29:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000211
197
+ [09:29:50] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-4000
198
+ [09:29:50] Generating 16 validation images ...
199
+ [09:30:03] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0004000.png
200
+ 4050 | 1 | 0.940925 | 0.925887 | 6.93e-05 | 0:49:24 | 1:12:35
201
+ [09:30:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000199
202
+ 4100 | 1 | 0.923037 | 0.925852 | 6.86e-05 | 0:50:00 | 1:11:57
203
+ [09:31:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000368
204
+ 4150 | 1 | 0.920698 | 0.925790 | 6.78e-05 | 0:50:35 | 1:11:19
205
+ [09:31:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000527
206
+ 4200 | 1 | 0.870714 | 0.925134 | 6.70e-05 | 0:51:11 | 1:10:41
207
+ [09:32:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000339
208
+ 4250 | 1 | 0.870956 | 0.924497 | 6.62e-05 | 0:51:46 | 1:10:03
209
+ [09:33:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000692
210
+ 4300 | 1 | 0.859629 | 0.923743 | 6.55e-05 | 0:52:22 | 1:09:25
211
+ [09:33:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000306
212
+ 4350 | 1 | 0.980817 | 0.924399 | 6.47e-05 | 0:52:57 | 1:08:47
213
+ [09:34:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000504
214
+ 4400 | 1 | 0.892729 | 0.924039 | 6.39e-05 | 0:53:33 | 1:08:09
215
+ [09:34:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000161
216
+ 4450 | 1 | 0.897532 | 0.923741 | 6.31e-05 | 0:54:08 | 1:07:31
217
+ [09:35:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000250
218
+ 4500 | 1 | 0.925727 | 0.923763 | 6.23e-05 | 0:54:43 | 1:06:53
219
+ [09:35:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000220
220
+ 4550 | 1 | 0.942178 | 0.923965 | 6.15e-05 | 0:55:19 | 1:06:15
221
+ [09:36:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000166
222
+ 4600 | 1 | 0.883484 | 0.923525 | 6.07e-05 | 0:55:54 | 1:05:38
223
+ [09:37:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000290
224
+ 4650 | 1 | 0.957661 | 0.923892 | 5.99e-05 | 0:56:30 | 1:05:00
225
+ [09:37:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000437
226
+ 4700 | 1 | 0.954537 | 0.924218 | 5.90e-05 | 0:57:05 | 1:04:22
227
+ [09:38:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000381
228
+ 4750 | 1 | 0.835400 | 0.923283 | 5.82e-05 | 0:57:40 | 1:03:45
229
+ [09:38:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000282
230
+ 4800 | 1 | 0.935454 | 0.923410 | 5.74e-05 | 0:58:16 | 1:03:07
231
+ [09:39:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000298
232
+ 4850 | 1 | 0.983406 | 0.924029 | 5.66e-05 | 0:58:51 | 1:02:30
233
+ [09:40:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000437
234
+ 4900 | 1 | 0.943836 | 0.924231 | 5.58e-05 | 0:59:27 | 1:01:52
235
+ [09:40:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000253
236
+ 4950 | 1 | 0.912344 | 0.924111 | 5.50e-05 | 1:00:02 | 1:01:15
237
+ [09:41:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000249
238
+ 5000 | 1 | 0.922265 | 0.924092 | 5.41e-05 | 1:00:38 | 1:00:38
239
+ [09:41:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000253
240
+ [09:41:52] Generating 16 validation images ...
241
+ [09:42:05] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0005000.png
242
+ 5050 | 1 | 0.816599 | 0.922587 | 5.33e-05 | 1:01:27 | 1:00:14
243
+ [09:42:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000335
244
+ 5100 | 1 | 0.966739 | 0.923076 | 5.25e-05 | 1:02:02 | 0:59:36
245
+ [09:43:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000462
246
+ 5150 | 1 | 1.021034 | 0.923947 | 5.17e-05 | 1:02:38 | 0:58:59
247
+ [09:43:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000196
248
+ 5200 | 1 | 0.987751 | 0.924609 | 5.08e-05 | 1:03:13 | 0:58:21
249
+ [09:44:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000485
250
+ 5250 | 1 | 0.904886 | 0.924759 | 5.00e-05 | 1:03:49 | 0:57:44
251
+ [09:45:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000319
252
+ 5300 | 1 | 0.817024 | 0.924001 | 4.92e-05 | 1:04:24 | 0:57:07
253
+ [09:45:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000375
254
+ 5350 | 1 | 0.946932 | 0.923840 | 4.83e-05 | 1:05:00 | 0:56:29
255
+ [09:46:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000386
256
+ 5400 | 1 | 1.027428 | 0.925640 | 4.75e-05 | 1:05:35 | 0:55:52
257
+ [09:46:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000323
258
+ 5450 | 1 | 0.679011 | 0.923347 | 4.67e-05 | 1:06:11 | 0:55:15
259
+ [09:47:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000240
260
+ 5500 | 1 | 0.957163 | 0.922824 | 4.59e-05 | 1:06:46 | 0:54:38
261
+ [09:48:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000192
262
+ 5550 | 1 | 0.802740 | 0.920929 | 4.50e-05 | 1:07:22 | 0:54:01
263
+ [09:48:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000149
264
+ 5600 | 1 | 0.777851 | 0.918217 | 4.42e-05 | 1:07:57 | 0:53:23
265
+ [09:49:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000125
266
+ 5650 | 1 | 0.906657 | 0.917561 | 4.34e-05 | 1:08:33 | 0:52:46
267
+ [09:49:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000549
268
+ 5700 | 1 | 0.903060 | 0.916874 | 4.26e-05 | 1:09:08 | 0:52:09
269
+ [09:50:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000128
270
+ 5750 | 1 | 0.846186 | 0.916260 | 4.18e-05 | 1:09:43 | 0:51:32
271
+ [09:50:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000335
272
+ 5800 | 1 | 0.948653 | 0.916963 | 4.10e-05 | 1:10:19 | 0:50:55
273
+ [09:51:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000382
274
+ 5850 | 1 | 0.928381 | 0.916724 | 4.01e-05 | 1:10:54 | 0:50:18
275
+ [09:52:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000269
276
+ 5900 | 1 | 0.971012 | 0.917744 | 3.93e-05 | 1:11:30 | 0:49:41
277
+ [09:52:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000174
278
+ 5950 | 1 | 0.986280 | 0.917539 | 3.85e-05 | 1:12:05 | 0:49:04
279
+ [09:53:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000205
280
+ 6000 | 1 | 0.976090 | 0.919075 | 3.77e-05 | 1:12:41 | 0:48:27
281
+ [09:53:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000714
282
+ [09:54:00] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-6000
283
+ [09:54:01] Generating 16 validation images ...
284
+ [09:54:13] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0006000.png
285
+ 6050 | 1 | 0.961488 | 0.919932 | 3.69e-05 | 1:13:36 | 0:48:03
286
+ [09:54:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000301
287
+ 6100 | 1 | 0.929430 | 0.921039 | 3.61e-05 | 1:14:11 | 0:47:26
288
+ [09:55:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000310
289
+ 6150 | 1 | 0.888852 | 0.920972 | 3.53e-05 | 1:14:47 | 0:46:49
290
+ [09:56:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000391
291
+ 6200 | 1 | 0.819141 | 0.919665 | 3.45e-05 | 1:15:22 | 0:46:11
292
+ [09:56:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000239
293
+ 6250 | 1 | 0.814674 | 0.917847 | 3.38e-05 | 1:15:58 | 0:45:34
294
+ [09:57:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000283
295
+ 6300 | 1 | 0.929048 | 0.917084 | 3.30e-05 | 1:16:33 | 0:44:57
296
+ [09:57:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000352
297
+ 6350 | 1 | 0.807068 | 0.916865 | 3.22e-05 | 1:17:09 | 0:44:20
298
+ [09:58:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000227
299
+ 6400 | 1 | 0.838760 | 0.915055 | 3.14e-05 | 1:17:44 | 0:43:43
300
+ [09:58:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000225
301
+ 6450 | 1 | 0.971824 | 0.916146 | 3.07e-05 | 1:18:19 | 0:43:06
302
+ [09:59:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000543
303
+ 6500 | 1 | 0.924806 | 0.916205 | 2.99e-05 | 1:18:55 | 0:42:29
304
+ [10:00:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000299
305
+ 6550 | 1 | 0.938276 | 0.915623 | 2.92e-05 | 1:19:30 | 0:41:52
306
+ [10:00:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000440
307
+ 6600 | 1 | 0.928012 | 0.915385 | 2.84e-05 | 1:20:06 | 0:41:15
308
+ [10:01:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000198
309
+ 6650 | 1 | 0.900807 | 0.915322 | 2.77e-05 | 1:20:41 | 0:40:39
310
+ [10:01:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000221
311
+ 6700 | 1 | 0.966969 | 0.915022 | 2.69e-05 | 1:21:17 | 0:40:02
312
+ [10:02:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000566
313
+ 6750 | 1 | 0.939978 | 0.914342 | 2.62e-05 | 1:21:52 | 0:39:25
314
+ [10:03:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000390
315
+ 6800 | 1 | 0.945456 | 0.915547 | 2.55e-05 | 1:22:27 | 0:38:48
316
+ [10:03:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000519
317
+ 6850 | 1 | 0.857585 | 0.914475 | 2.48e-05 | 1:23:03 | 0:38:11
318
+ [10:04:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000168
319
+ 6900 | 1 | 0.822427 | 0.913178 | 2.41e-05 | 1:23:38 | 0:37:34
320
+ [10:04:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000336
321
+ 6950 | 1 | 0.910345 | 0.912235 | 2.33e-05 | 1:24:14 | 0:36:58
322
+ [10:05:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000285
323
+ 7000 | 1 | 0.942383 | 0.912840 | 2.27e-05 | 1:24:49 | 0:36:21
324
+ [10:06:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000320
325
+ [10:06:05] Generating 16 validation images ...
326
+ [10:06:17] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0007000.png
327
+ 7050 | 1 | 0.952472 | 0.913199 | 2.20e-05 | 1:25:39 | 0:35:50
328
+ [10:06:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000212
329
+ [10:07:15] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.916434 ---
330
+ 7100 | 2 | 0.912473 | 0.914692 | 2.13e-05 | 1:26:15 | 0:35:13
331
+ [10:07:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000288
332
+ 7150 | 2 | 0.843786 | 0.914032 | 2.06e-05 | 1:26:50 | 0:34:36
333
+ [10:08:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000462
334
+ 7200 | 2 | 0.942828 | 0.914645 | 1.99e-05 | 1:27:25 | 0:34:00
335
+ [10:08:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000315
336
+ 7250 | 2 | 0.899479 | 0.914845 | 1.93e-05 | 1:28:01 | 0:33:23
337
+ [10:09:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000553
338
+ 7300 | 2 | 0.932493 | 0.914989 | 1.86e-05 | 1:28:36 | 0:32:46
339
+ [10:09:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000183
340
+ 7350 | 2 | 0.958752 | 0.915388 | 1.80e-05 | 1:29:12 | 0:32:09
341
+ [10:10:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000466
342
+ 7400 | 2 | 0.858507 | 0.914945 | 1.74e-05 | 1:29:47 | 0:31:32
343
+ [10:11:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000300
344
+ 7450 | 2 | 0.872857 | 0.914643 | 1.67e-05 | 1:30:22 | 0:30:56
345
+ [10:11:37] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000160
346
+ 7500 | 2 | 0.884414 | 0.913673 | 1.61e-05 | 1:30:58 | 0:30:19
347
+ [10:12:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000298
348
+ 7550 | 2 | 1.010867 | 0.913811 | 1.55e-05 | 1:31:33 | 0:29:42
349
+ [10:12:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000351
350
+ 7600 | 2 | 0.921651 | 0.914398 | 1.49e-05 | 1:32:09 | 0:29:06
351
+ [10:13:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000310
352
+ 7650 | 2 | 1.026222 | 0.916164 | 1.44e-05 | 1:32:44 | 0:28:29
353
+ [10:13:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000713
354
+ 7700 | 2 | 0.897813 | 0.915923 | 1.38e-05 | 1:33:19 | 0:27:52
355
+ [10:14:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000111
356
+ 7750 | 2 | 0.831864 | 0.915686 | 1.32e-05 | 1:33:55 | 0:27:16
357
+ [10:15:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000786
358
+ 7800 | 2 | 0.929730 | 0.915907 | 1.27e-05 | 1:34:30 | 0:26:39
359
+ [10:15:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000693
360
+ 7850 | 2 | 0.858752 | 0.914695 | 1.21e-05 | 1:35:06 | 0:26:02
361
+ [10:16:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000316
362
+ 7900 | 2 | 0.964100 | 0.914217 | 1.16e-05 | 1:35:41 | 0:25:26
363
+ [10:16:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000307
364
+ 7950 | 2 | 0.889128 | 0.913765 | 1.11e-05 | 1:36:16 | 0:24:49
365
+ [10:17:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000256
366
+ 8000 | 2 | 0.969016 | 0.915179 | 1.05e-05 | 1:36:52 | 0:24:13
367
+ [10:18:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000290
368
+ [10:18:10] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-8000
369
+ [10:18:12] Removed old checkpoint: checkpoint-2000
370
+ [10:18:12] Generating 16 validation images ...
371
+ [10:18:24] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0008000.png
372
+ 8050 | 2 | 0.954403 | 0.915656 | 1.00e-05 | 1:37:46 | 0:23:41
373
+ [10:19:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000365
374
+ 8100 | 2 | 0.959008 | 0.915770 | 9.55e-06 | 1:38:21 | 0:23:04
375
+ [10:19:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000365
376
+ 8150 | 2 | 0.942132 | 0.914631 | 9.07e-06 | 1:38:57 | 0:22:27
377
+ [10:20:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000352
378
+ 8200 | 2 | 0.808207 | 0.913361 | 8.60e-06 | 1:39:32 | 0:21:51
379
+ [10:20:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000479
380
+ 8250 | 2 | 0.869133 | 0.913282 | 8.14e-06 | 1:40:07 | 0:21:14
381
+ [10:21:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000252
382
+ 8300 | 2 | 0.838596 | 0.911516 | 7.70e-06 | 1:40:43 | 0:20:37
383
+ [10:21:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000379
384
+ 8350 | 2 | 0.912781 | 0.911840 | 7.26e-06 | 1:41:18 | 0:20:01
385
+ [10:22:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000473
386
+ 8400 | 2 | 0.944994 | 0.911886 | 6.84e-06 | 1:41:54 | 0:19:24
387
+ [10:23:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000446
388
+ 8450 | 2 | 0.785430 | 0.910670 | 6.43e-06 | 1:42:29 | 0:18:48
389
+ [10:23:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000386
390
+ 8500 | 2 | 0.852230 | 0.909785 | 6.03e-06 | 1:43:05 | 0:18:11
391
+ [10:24:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000185
392
+ 8550 | 2 | 0.991417 | 0.910643 | 5.64e-06 | 1:43:40 | 0:17:34
393
+ [10:24:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000276
394
+ 8600 | 2 | 0.928736 | 0.910492 | 5.26e-06 | 1:44:16 | 0:16:58
395
+ [10:25:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000349
396
+ 8650 | 2 | 0.813290 | 0.909419 | 4.90e-06 | 1:44:51 | 0:16:21
397
+ [10:26:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000423
398
+ 8700 | 2 | 0.948336 | 0.908550 | 4.55e-06 | 1:45:27 | 0:15:45
399
+ [10:26:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000689
400
+ 8750 | 2 | 0.955209 | 0.907590 | 4.21e-06 | 1:46:02 | 0:15:08
401
+ [10:27:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000331
402
+ 8800 | 2 | 0.886302 | 0.907716 | 3.89e-06 | 1:46:37 | 0:14:32
403
+ [10:27:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000270
404
+ 8850 | 2 | 0.910169 | 0.907688 | 3.57e-06 | 1:47:13 | 0:13:55
405
+ [10:28:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000237
406
+ 8900 | 2 | 0.974994 | 0.909543 | 3.27e-06 | 1:47:48 | 0:13:19
407
+ [10:29:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000327
408
+ 8950 | 2 | 0.829192 | 0.909025 | 2.98e-06 | 1:48:24 | 0:12:43
409
+ [10:29:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000231
410
+ 9000 | 2 | 0.877251 | 0.909011 | 2.71e-06 | 1:48:59 | 0:12:06
411
+ [10:30:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000241
412
+ [10:30:14] Generating 16 validation images ...
413
+ [10:30:27] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0009000.png
414
+ 9050 | 2 | 0.903844 | 0.908641 | 2.45e-06 | 1:49:49 | 0:11:31
415
+ [10:31:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000667
416
+ 9100 | 2 | 0.892726 | 0.908338 | 2.20e-06 | 1:50:24 | 0:10:55
417
+ [10:31:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000378
418
+ 9150 | 2 | 0.900345 | 0.908134 | 1.96e-06 | 1:51:00 | 0:10:18
419
+ [10:32:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000351
420
+ 9200 | 2 | 0.876340 | 0.908190 | 1.74e-06 | 1:51:35 | 0:09:42
421
+ [10:32:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000453
422
+ 9250 | 2 | 0.848895 | 0.907970 | 1.53e-06 | 1:52:10 | 0:09:05
423
+ [10:33:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000450
424
+ 9300 | 2 | 0.914008 | 0.908513 | 1.33e-06 | 1:52:46 | 0:08:29
425
+ [10:34:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000393
426
+ 9350 | 2 | 0.951156 | 0.908217 | 1.15e-06 | 1:53:21 | 0:07:52
427
+ [10:34:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000415
428
+ 9400 | 2 | 0.922466 | 0.908514 | 9.81e-07 | 1:53:57 | 0:07:16
429
+ [10:35:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000393
430
+ 9450 | 2 | 0.794343 | 0.907482 | 8.25e-07 | 1:54:32 | 0:06:39
431
+ [10:35:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000380
432
+ 9500 | 2 | 0.865648 | 0.906882 | 6.82e-07 | 1:55:08 | 0:06:03
433
+ [10:36:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000243
434
+ 9550 | 2 | 0.909608 | 0.906556 | 5.53e-07 | 1:55:43 | 0:05:27
435
+ [10:36:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000623
436
+ 9600 | 2 | 0.890971 | 0.906631 | 4.37e-07 | 1:56:18 | 0:04:50
437
+ [10:37:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000505
438
+ 9650 | 2 | 1.024510 | 0.907299 | 3.35e-07 | 1:56:54 | 0:04:14
439
+ [10:38:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000325
440
+ 9700 | 2 | 0.988170 | 0.907636 | 2.46e-07 | 1:57:29 | 0:03:38
441
+ [10:38:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000375
442
+ 9750 | 2 | 0.850857 | 0.907790 | 1.71e-07 | 1:58:05 | 0:03:01
443
+ [10:39:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000383
444
+ 9800 | 2 | 0.893505 | 0.907371 | 1.09e-07 | 1:58:40 | 0:02:25
445
+ [10:39:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000243
446
+ 9850 | 2 | 0.920125 | 0.906738 | 6.15e-08 | 1:59:16 | 0:01:48
447
+ [10:40:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000494
448
+ 9900 | 2 | 0.990858 | 0.907208 | 2.73e-08 | 1:59:51 | 0:01:12
449
+ [10:41:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000372
450
+ 9950 | 2 | 0.907000 | 0.907155 | 6.83e-09 | 2:00:26 | 0:00:36
451
+ [10:41:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000484
452
+ 10000 | 2 | 0.946342 | 0.907395 | 0.00e+00 | 2:01:02 | 0:00:00
453
+ [10:42:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000258
454
+ [10:42:21] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-10000
455
+ [10:42:22] Removed old checkpoint: checkpoint-4000
456
+ [10:42:22] Generating 16 validation images ...
457
+ [10:42:34] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0010000.png
458
+ [10:42:35] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.917228 ---
459
+ [10:42:35] Saving final model ...
460
+ [10:42:43] Pipeline saved -> RESULTS/flicker8k/run_011
461
+ [10:42:43] Generating final validation collage ...
462
+ [10:42:43] Generating 16 validation images ...
463
+ [10:42:55] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0010000.png
464
+ [10:42:56]
465
+ [10:42:56] ============================================================
466
+ [10:42:56] TRAINING SUMMARY
467
+ [10:42:56] ============================================================
468
+ [10:42:56] Total steps : 200
469
+ [10:42:56] Final loss : 0.946342
470
+ [10:42:56] Avg last 100 : 0.907395
471
+ [10:42:56] Min loss : 0.679011
472
+ [10:42:56] Total time : 2:01:41
473
+ [10:42:56] Output : RESULTS/flicker8k/run_011
474
+ [10:42:56] ============================================================
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flicker8k/sana 1.6/Baseline/model_index.json ADDED
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+ "_class_name": "SanaPipeline",
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+ "_diffusers_version": "0.37.1",
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+ "scheduler": [
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+ "diffusers",
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+ "text_encoder": [
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+ "tokenizer": [
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+ "GemmaTokenizer"
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+ "transformer": [
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+ "vae": [
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+ }