diff --git a/flicker8k/pixart_sigma/Baseline/checkpoint-10000/transformer/config.json b/flicker8k/pixart_sigma/Baseline/checkpoint-10000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..3b20977a678178bc66667b2fdbb0c44bec62fef5 --- /dev/null +++ b/flicker8k/pixart_sigma/Baseline/checkpoint-10000/transformer/config.json @@ -0,0 +1,30 @@ +{ + "_class_name": "PixArtTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS", + "activation_fn": "gelu-approximate", + "attention_bias": true, + "attention_head_dim": 72, + "attention_type": "default", + "caption_channels": 4096, + "cross_attention_dim": 1152, + "double_self_attention": false, + "dropout": 0.0, + "in_channels": 4, + "interpolation_scale": 1, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "norm_num_groups": 32, + "norm_type": "ada_norm_single", + "num_attention_heads": 16, + "num_embeds_ada_norm": 1000, + "num_layers": 28, + "num_vector_embeds": null, + "only_cross_attention": false, + "out_channels": 8, + "patch_size": 2, + "sample_size": 64, + "upcast_attention": false, + "use_additional_conditions": null, + "use_linear_projection": false +} diff --git a/flicker8k/pixart_sigma/RAD/checkpoint-10000/transformer/config.json b/flicker8k/pixart_sigma/RAD/checkpoint-10000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..3b20977a678178bc66667b2fdbb0c44bec62fef5 --- /dev/null +++ b/flicker8k/pixart_sigma/RAD/checkpoint-10000/transformer/config.json @@ -0,0 +1,30 @@ +{ + "_class_name": "PixArtTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS", + "activation_fn": "gelu-approximate", + "attention_bias": true, + "attention_head_dim": 72, + "attention_type": "default", + "caption_channels": 4096, + "cross_attention_dim": 1152, + "double_self_attention": false, + "dropout": 0.0, + "in_channels": 4, + "interpolation_scale": 1, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "norm_num_groups": 32, + "norm_type": "ada_norm_single", + "num_attention_heads": 16, + "num_embeds_ada_norm": 1000, + "num_layers": 28, + "num_vector_embeds": null, + "only_cross_attention": false, + "out_channels": 8, + "patch_size": 2, + "sample_size": 64, + "upcast_attention": false, + "use_additional_conditions": null, + "use_linear_projection": false +} diff --git a/flicker8k/pixart_sigma/RAD/checkpoint-6000/transformer/config.json b/flicker8k/pixart_sigma/RAD/checkpoint-6000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..3b20977a678178bc66667b2fdbb0c44bec62fef5 --- /dev/null +++ b/flicker8k/pixart_sigma/RAD/checkpoint-6000/transformer/config.json @@ -0,0 +1,30 @@ +{ + "_class_name": "PixArtTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS", + "activation_fn": "gelu-approximate", + "attention_bias": true, + "attention_head_dim": 72, + "attention_type": "default", + "caption_channels": 4096, + "cross_attention_dim": 1152, + "double_self_attention": false, + "dropout": 0.0, + "in_channels": 4, + "interpolation_scale": 1, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "norm_num_groups": 32, + "norm_type": "ada_norm_single", + "num_attention_heads": 16, + "num_embeds_ada_norm": 1000, + "num_layers": 28, + "num_vector_embeds": null, + "only_cross_attention": false, + "out_channels": 8, + "patch_size": 2, + "sample_size": 64, + "upcast_attention": false, + "use_additional_conditions": null, + "use_linear_projection": false +} diff --git a/flicker8k/pixart_sigma/RAD/checkpoint-8000/transformer/config.json b/flicker8k/pixart_sigma/RAD/checkpoint-8000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..3b20977a678178bc66667b2fdbb0c44bec62fef5 --- /dev/null +++ b/flicker8k/pixart_sigma/RAD/checkpoint-8000/transformer/config.json @@ -0,0 +1,30 @@ +{ + "_class_name": "PixArtTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS", + "activation_fn": "gelu-approximate", + "attention_bias": true, + "attention_head_dim": 72, + "attention_type": "default", + "caption_channels": 4096, + "cross_attention_dim": 1152, + "double_self_attention": false, + "dropout": 0.0, + "in_channels": 4, + "interpolation_scale": 1, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "norm_num_groups": 32, + "norm_type": "ada_norm_single", + "num_attention_heads": 16, + "num_embeds_ada_norm": 1000, + "num_layers": 28, + "num_vector_embeds": null, + "only_cross_attention": false, + "out_channels": 8, + "patch_size": 2, + "sample_size": 64, + "upcast_attention": false, + "use_additional_conditions": null, + "use_linear_projection": false +} diff --git a/flicker8k/pixart_sigma/RAD/scheduler/scheduler_config.json b/flicker8k/pixart_sigma/RAD/scheduler/scheduler_config.json new file mode 100644 index 0000000000000000000000000000000000000000..934f6f63c13e525157c1c982a453ce12fb2d86af --- /dev/null +++ b/flicker8k/pixart_sigma/RAD/scheduler/scheduler_config.json @@ -0,0 +1,32 @@ +{ + "_class_name": "DPMSolverMultistepScheduler", + "_diffusers_version": "0.37.1", + "algorithm_type": "dpmsolver++", + "beta_end": 0.02, + "beta_schedule": "linear", + "beta_start": 0.0001, + "dynamic_thresholding_ratio": 0.995, + "euler_at_final": false, + "final_sigmas_type": "zero", + "flow_shift": 1.0, + "lambda_min_clipped": -Infinity, + "lower_order_final": true, + "num_train_timesteps": 1000, + "prediction_type": "epsilon", + "rescale_betas_zero_snr": false, + "sample_max_value": 1.0, + "solver_order": 2, + "solver_type": "midpoint", + "steps_offset": 0, + "thresholding": false, + "time_shift_type": "exponential", + "timestep_spacing": "linspace", + "trained_betas": null, + "use_beta_sigmas": false, + "use_dynamic_shifting": false, + "use_exponential_sigmas": false, + "use_flow_sigmas": false, + "use_karras_sigmas": false, + "use_lu_lambdas": false, + "variance_type": null +} diff --git a/flicker8k/pixart_sigma/RAD/text_encoder/config.json b/flicker8k/pixart_sigma/RAD/text_encoder/config.json new file mode 100644 index 0000000000000000000000000000000000000000..5e69cd5e68a1e68dfe4db4fccb2b3eba9fd73946 --- /dev/null +++ b/flicker8k/pixart_sigma/RAD/text_encoder/config.json @@ -0,0 +1,33 @@ +{ + "architectures": [ + "T5EncoderModel" + ], + "classifier_dropout": 0.0, + "d_ff": 10240, + "d_kv": 64, + "d_model": 4096, + "decoder_start_token_id": 0, + "dense_act_fn": "gelu_new", + "dropout_rate": 0.1, + "dtype": "bfloat16", + "eos_token_id": 1, + "feed_forward_proj": "gated-gelu", + "initializer_factor": 1.0, + "is_decoder": false, + "is_encoder_decoder": false, + "is_gated_act": true, + "layer_norm_epsilon": 1e-06, + "model_type": "t5", + "num_decoder_layers": 24, + "num_heads": 64, + "num_layers": 24, + "output_past": true, + "pad_token_id": 0, + "relative_attention_max_distance": 128, + "relative_attention_num_buckets": 32, + "scale_decoder_outputs": false, + "tie_word_embeddings": true, + "transformers_version": "5.9.0", + "use_cache": false, + "vocab_size": 32128 +} diff --git a/flicker8k/pixart_sigma/RAD/transformer/config.json b/flicker8k/pixart_sigma/RAD/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..3b20977a678178bc66667b2fdbb0c44bec62fef5 --- /dev/null +++ b/flicker8k/pixart_sigma/RAD/transformer/config.json @@ -0,0 +1,30 @@ +{ + "_class_name": "PixArtTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS", + "activation_fn": "gelu-approximate", + "attention_bias": true, + "attention_head_dim": 72, + "attention_type": "default", + "caption_channels": 4096, + "cross_attention_dim": 1152, + "double_self_attention": false, + "dropout": 0.0, + "in_channels": 4, + "interpolation_scale": 1, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "norm_num_groups": 32, + "norm_type": "ada_norm_single", + "num_attention_heads": 16, + "num_embeds_ada_norm": 1000, + "num_layers": 28, + "num_vector_embeds": null, + "only_cross_attention": false, + "out_channels": 8, + "patch_size": 2, + "sample_size": 64, + "upcast_attention": false, + "use_additional_conditions": null, + "use_linear_projection": false +} diff --git a/flicker8k/pixart_sigma/RAD/vae/config.json b/flicker8k/pixart_sigma/RAD/vae/config.json new file mode 100644 index 0000000000000000000000000000000000000000..6b85311b2429e2d796cb06d72705d6e02b0591a8 --- /dev/null +++ b/flicker8k/pixart_sigma/RAD/vae/config.json @@ -0,0 +1,38 @@ +{ + "_class_name": "AutoencoderKL", + "_diffusers_version": "0.37.1", + "_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers", + "act_fn": "silu", + "block_out_channels": [ + 128, + 256, + 512, + 512 + ], + "down_block_types": [ + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D", + "DownEncoderBlock2D" + ], + "force_upcast": false, + "in_channels": 3, + "latent_channels": 4, + "latents_mean": null, + "latents_std": null, + "layers_per_block": 2, + "mid_block_add_attention": true, + "norm_num_groups": 32, + "out_channels": 3, + "sample_size": 512, + "scaling_factor": 0.13025, + "shift_factor": null, + "up_block_types": [ + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D", + "UpDecoderBlock2D" + ], + "use_post_quant_conv": true, + "use_quant_conv": true +} diff --git a/flicker8k/sana 0.6/Baseline/model_index.json b/flicker8k/sana 0.6/Baseline/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 0.6/Baseline/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 0.6/Baseline/tokenizer/tokenizer_config.json b/flicker8k/sana 0.6/Baseline/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4cda396aa4050a6cb92d7a4c0297031eb80e6d --- /dev/null +++ b/flicker8k/sana 0.6/Baseline/tokenizer/tokenizer_config.json @@ -0,0 +1,20 @@ +{ + "backend": "tokenizers", + "bos_token": "", + "clean_up_tokenization_spaces": false, + "eos_token": "", + "extra_special_tokens": [ + "", + "" + ], + "is_local": false, + "local_files_only": false, + "mask_token": "", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "sp_model_kwargs": {}, + "spaces_between_special_tokens": false, + "tokenizer_class": "GemmaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +} diff --git a/flicker8k/sana 0.6/Baseline/training.log b/flicker8k/sana 0.6/Baseline/training.log new file mode 100644 index 0000000000000000000000000000000000000000..f54d20b3bbaa1cce1e605bffab738f5176e73a5e --- /dev/null +++ b/flicker8k/sana 0.6/Baseline/training.log @@ -0,0 +1,272 @@ +Training started: 2026-07-29 11:43:10 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[11:43:10] Run directory: RESULTS/flicker8k/run_002 +[11:43:10] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[11:43:10] Loading pretrained SANA components ... +[11:43:27] Transformer params: 591,747,872 total, 591,747,872 trainable +[11:43:27] Building dataset ... +[11:43:27] Step-based training: 10000 steps (~3 epochs over dataset) +[11:43:28] +[11:43:28] ================================================================ +[11:43:28] Output dir = RESULTS/flicker8k/run_002 +[11:43:28] Num examples = 28315 +[11:43:28] Num epochs = 3 +[11:43:28] Batch/device = 8 +[11:43:28] Grad accum = 1 +[11:43:28] Effective BS = 8 +[11:43:28] Total optim steps = 10000 +[11:43:28] LR = 0.0001 +[11:43:28] Precision = bf16 +[11:43:28] Log every = 50 steps +[11:43:28] Validate every = 1000 steps +[11:43:28] Checkpoint every = 2000 steps +[11:43:28] ================================================================ +[11:43:28] + 50 | 0 | 0.966990 | 0.966990 | 1.00e-05 | 0:00:50 | 2:47:04 + 100 | 0 | 0.917522 | 0.942256 | 2.00e-05 | 0:01:22 | 2:15:20 + 150 | 0 | 0.933678 | 0.939397 | 3.00e-05 | 0:01:53 | 2:04:32 + 200 | 0 | 0.921527 | 0.934929 | 4.00e-05 | 0:02:25 | 1:58:54 + 250 | 0 | 0.889368 | 0.925817 | 5.00e-05 | 0:02:57 | 1:55:19 + 300 | 0 | 0.892826 | 0.920319 | 6.00e-05 | 0:03:29 | 1:52:45 + 350 | 0 | 0.962768 | 0.926383 | 7.00e-05 | 0:04:01 | 1:50:46 + 400 | 0 | 0.848366 | 0.916631 | 8.00e-05 | 0:04:32 | 1:49:08 + 450 | 0 | 0.908339 | 0.915710 | 9.00e-05 | 0:05:04 | 1:47:44 + 500 | 0 | 1.008880 | 0.925027 | 1.00e-04 | 0:05:36 | 1:46:30 + 550 | 0 | 0.992180 | 0.931131 | 1.00e-04 | 0:06:08 | 1:45:25 + 600 | 0 | 1.048567 | 0.940918 | 1.00e-04 | 0:06:39 | 1:44:26 + 650 | 0 | 0.971594 | 0.943277 | 9.99e-05 | 0:07:11 | 1:43:31 + 700 | 0 | 0.972015 | 0.945330 | 9.99e-05 | 0:07:43 | 1:42:39 + 750 | 0 | 0.907371 | 0.942799 | 9.98e-05 | 0:08:15 | 1:41:50 + 800 | 0 | 0.878053 | 0.938753 | 9.98e-05 | 0:08:47 | 1:41:04 + 850 | 0 | 0.952082 | 0.939537 | 9.97e-05 | 0:09:19 | 1:40:19 + 900 | 0 | 0.868740 | 0.935604 | 9.96e-05 | 0:09:50 | 1:39:35 + 950 | 0 | 1.007064 | 0.939365 | 9.94e-05 | 0:10:22 | 1:38:52 + 1000 | 0 | 0.821256 | 0.933459 | 9.93e-05 | 0:10:54 | 1:38:11 +[11:54:05] Generating 16 validation images ... +[11:54:18] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0001000.png + 1050 | 0 | 0.875285 | 0.930689 | 9.92e-05 | 0:11:39 | 1:39:25 + 1100 | 0 | 0.817875 | 0.925561 | 9.90e-05 | 0:12:11 | 1:38:39 + 1150 | 0 | 0.894363 | 0.924205 | 9.88e-05 | 0:12:43 | 1:37:54 + 1200 | 0 | 0.949778 | 0.925270 | 9.87e-05 | 0:13:15 | 1:37:11 + 1250 | 0 | 0.996285 | 0.928111 | 9.85e-05 | 0:13:46 | 1:36:28 + 1300 | 0 | 1.004593 | 0.931053 | 9.83e-05 | 0:14:18 | 1:35:46 + 1350 | 0 | 0.828601 | 0.927258 | 9.80e-05 | 0:14:50 | 1:35:05 + 1400 | 0 | 1.018958 | 0.930533 | 9.78e-05 | 0:15:22 | 1:34:25 + 1450 | 0 | 0.862412 | 0.928184 | 9.76e-05 | 0:15:54 | 1:33:45 + 1500 | 0 | 0.918637 | 0.927866 | 9.73e-05 | 0:16:25 | 1:33:06 + 1550 | 0 | 0.995984 | 0.930063 | 9.70e-05 | 0:16:57 | 1:32:27 + 1600 | 0 | 0.951119 | 0.930721 | 9.67e-05 | 0:17:29 | 1:31:49 + 1650 | 0 | 0.906710 | 0.929994 | 9.64e-05 | 0:18:01 | 1:31:11 + 1700 | 0 | 0.996490 | 0.931949 | 9.61e-05 | 0:18:33 | 1:30:34 + 1750 | 0 | 1.007522 | 0.934109 | 9.58e-05 | 0:19:04 | 1:29:57 + 1800 | 0 | 0.824415 | 0.931061 | 9.55e-05 | 0:19:36 | 1:29:21 + 1850 | 0 | 0.964752 | 0.931972 | 9.51e-05 | 0:20:08 | 1:28:44 + 1900 | 0 | 0.951597 | 0.932488 | 9.47e-05 | 0:20:40 | 1:28:08 + 1950 | 0 | 1.003799 | 0.934317 | 9.44e-05 | 0:21:12 | 1:27:32 + 2000 | 0 | 0.881489 | 0.932996 | 9.40e-05 | 0:21:44 | 1:26:56 +[12:05:00] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-2000 +[12:05:00] Generating 16 validation images ... +[12:05:12] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0002000.png + 2050 | 0 | 0.916669 | 0.932598 | 9.36e-05 | 0:22:33 | 1:27:29 + 2100 | 0 | 0.763147 | 0.928563 | 9.32e-05 | 0:23:05 | 1:26:52 + 2150 | 0 | 0.909806 | 0.928127 | 9.27e-05 | 0:23:37 | 1:26:15 + 2200 | 0 | 0.880959 | 0.927055 | 9.23e-05 | 0:24:09 | 1:25:38 + 2250 | 0 | 0.878697 | 0.925981 | 9.19e-05 | 0:24:41 | 1:25:01 + 2300 | 0 | 0.916777 | 0.925781 | 9.14e-05 | 0:25:12 | 1:24:25 + 2350 | 0 | 0.918437 | 0.925624 | 9.09e-05 | 0:25:44 | 1:23:48 + 2400 | 0 | 0.902655 | 0.925146 | 9.05e-05 | 0:26:16 | 1:23:12 + 2450 | 0 | 0.903101 | 0.924696 | 9.00e-05 | 0:26:48 | 1:22:36 + 2500 | 0 | 0.981313 | 0.925828 | 8.95e-05 | 0:27:20 | 1:22:00 + 2550 | 0 | 0.997173 | 0.927227 | 8.89e-05 | 0:27:52 | 1:21:25 + 2600 | 0 | 0.862918 | 0.925990 | 8.84e-05 | 0:28:23 | 1:20:49 + 2650 | 0 | 0.849047 | 0.924539 | 8.79e-05 | 0:28:55 | 1:20:14 + 2700 | 0 | 0.921375 | 0.924480 | 8.73e-05 | 0:29:27 | 1:19:39 + 2750 | 0 | 0.855043 | 0.923218 | 8.68e-05 | 0:29:59 | 1:19:03 + 2800 | 0 | 0.906158 | 0.922913 | 8.62e-05 | 0:30:31 | 1:18:28 + 2850 | 0 | 0.979826 | 0.923911 | 8.56e-05 | 0:31:03 | 1:17:54 + 2900 | 0 | 1.011460 | 0.925421 | 8.51e-05 | 0:31:34 | 1:17:19 + 2950 | 0 | 0.933732 | 0.925562 | 8.45e-05 | 0:32:06 | 1:16:44 + 3000 | 0 | 0.827587 | 0.923929 | 8.39e-05 | 0:32:38 | 1:16:09 +[12:15:49] Generating 16 validation images ... +[12:16:01] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0003000.png + 3050 | 0 | 0.906221 | 0.923639 | 8.33e-05 | 0:33:23 | 1:16:04 + 3100 | 0 | 0.947467 | 0.924023 | 8.26e-05 | 0:33:54 | 1:15:29 + 3150 | 0 | 1.055543 | 0.926110 | 8.20e-05 | 0:34:26 | 1:14:54 + 3200 | 0 | 0.934665 | 0.926244 | 8.14e-05 | 0:34:58 | 1:14:19 + 3250 | 0 | 0.876219 | 0.925475 | 8.07e-05 | 0:35:30 | 1:13:44 + 3300 | 0 | 1.015517 | 0.926839 | 8.01e-05 | 0:36:02 | 1:13:09 + 3350 | 0 | 0.880714 | 0.926150 | 7.94e-05 | 0:36:33 | 1:12:35 + 3400 | 0 | 0.940162 | 0.926356 | 7.87e-05 | 0:37:05 | 1:12:00 + 3450 | 0 | 0.906785 | 0.926073 | 7.80e-05 | 0:37:37 | 1:11:26 + 3500 | 0 | 0.940577 | 0.926280 | 7.73e-05 | 0:38:09 | 1:10:51 +[12:21:45] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.920844 --- + 3550 | 1 | 0.905125 | 0.925982 | 7.67e-05 | 0:38:41 | 1:10:17 + 3600 | 1 | 0.943489 | 0.926225 | 7.59e-05 | 0:39:12 | 1:09:43 + 3650 | 1 | 0.920321 | 0.926144 | 7.52e-05 | 0:39:44 | 1:09:08 + 3700 | 1 | 1.034655 | 0.927611 | 7.45e-05 | 0:40:16 | 1:08:34 + 3750 | 1 | 1.051531 | 0.929263 | 7.38e-05 | 0:40:48 | 1:08:00 + 3800 | 1 | 0.873538 | 0.928530 | 7.31e-05 | 0:41:20 | 1:07:26 + 3850 | 1 | 0.913307 | 0.928332 | 7.23e-05 | 0:41:52 | 1:06:52 + 3900 | 1 | 0.789364 | 0.926550 | 7.16e-05 | 0:42:23 | 1:06:19 + 3950 | 1 | 0.881733 | 0.925983 | 7.08e-05 | 0:42:55 | 1:05:45 + 4000 | 1 | 0.878546 | 0.925390 | 7.01e-05 | 0:43:27 | 1:05:11 +[12:26:43] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-4000 +[12:26:43] Generating 16 validation images ... +[12:26:55] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0004000.png + 4050 | 1 | 0.940658 | 0.925579 | 6.93e-05 | 0:44:16 | 1:05:03 + 4100 | 1 | 0.923247 | 0.925550 | 6.86e-05 | 0:44:48 | 1:04:28 + 4150 | 1 | 0.920137 | 0.925485 | 6.78e-05 | 0:45:20 | 1:03:54 + 4200 | 1 | 0.870476 | 0.924830 | 6.70e-05 | 0:45:52 | 1:03:20 + 4250 | 1 | 0.869251 | 0.924176 | 6.62e-05 | 0:46:24 | 1:02:46 + 4300 | 1 | 0.859401 | 0.923423 | 6.55e-05 | 0:46:55 | 1:02:12 + 4350 | 1 | 0.979566 | 0.924068 | 6.47e-05 | 0:47:27 | 1:01:38 + 4400 | 1 | 0.892505 | 0.923710 | 6.39e-05 | 0:47:59 | 1:01:04 + 4450 | 1 | 0.897322 | 0.923413 | 6.31e-05 | 0:48:31 | 1:00:31 + 4500 | 1 | 0.925317 | 0.923434 | 6.23e-05 | 0:49:03 | 0:59:57 + 4550 | 1 | 0.942460 | 0.923643 | 6.15e-05 | 0:49:35 | 0:59:23 + 4600 | 1 | 0.883639 | 0.923209 | 6.07e-05 | 0:50:06 | 0:58:49 + 4650 | 1 | 0.957422 | 0.923576 | 5.99e-05 | 0:50:38 | 0:58:16 + 4700 | 1 | 0.953948 | 0.923900 | 5.90e-05 | 0:51:10 | 0:57:42 + 4750 | 1 | 0.836183 | 0.922976 | 5.82e-05 | 0:51:42 | 0:57:09 + 4800 | 1 | 0.934635 | 0.923098 | 5.74e-05 | 0:52:14 | 0:56:35 + 4850 | 1 | 0.983249 | 0.923718 | 5.66e-05 | 0:52:46 | 0:56:01 + 4900 | 1 | 0.943541 | 0.923920 | 5.58e-05 | 0:53:17 | 0:55:28 + 4950 | 1 | 0.911964 | 0.923799 | 5.50e-05 | 0:53:49 | 0:54:55 + 5000 | 1 | 0.922273 | 0.923784 | 5.41e-05 | 0:54:21 | 0:54:21 +[12:37:32] Generating 16 validation images ... +[12:37:44] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0005000.png + 5050 | 1 | 0.816272 | 0.922277 | 5.33e-05 | 0:55:06 | 0:54:00 + 5100 | 1 | 0.966197 | 0.922764 | 5.25e-05 | 0:55:37 | 0:53:26 + 5150 | 1 | 1.020727 | 0.923634 | 5.17e-05 | 0:56:09 | 0:52:53 + 5200 | 1 | 0.987659 | 0.924295 | 5.08e-05 | 0:56:41 | 0:52:19 + 5250 | 1 | 0.904137 | 0.924443 | 5.00e-05 | 0:57:13 | 0:51:46 + 5300 | 1 | 0.816672 | 0.923682 | 4.92e-05 | 0:57:45 | 0:51:12 + 5350 | 1 | 0.946460 | 0.923518 | 4.83e-05 | 0:58:16 | 0:50:39 + 5400 | 1 | 1.027014 | 0.925305 | 4.75e-05 | 0:58:48 | 0:50:06 + 5450 | 1 | 0.678648 | 0.923008 | 4.67e-05 | 0:59:20 | 0:49:32 + 5500 | 1 | 0.956775 | 0.922487 | 4.59e-05 | 0:59:52 | 0:48:59 + 5550 | 1 | 0.802556 | 0.920591 | 4.50e-05 | 1:00:24 | 0:48:26 + 5600 | 1 | 0.777603 | 0.917881 | 4.42e-05 | 1:00:56 | 0:47:52 + 5650 | 1 | 0.905935 | 0.917224 | 4.34e-05 | 1:01:28 | 0:47:19 + 5700 | 1 | 0.902797 | 0.916532 | 4.26e-05 | 1:01:59 | 0:46:46 + 5750 | 1 | 0.845786 | 0.915916 | 4.18e-05 | 1:02:31 | 0:46:13 + 5800 | 1 | 0.948011 | 0.916616 | 4.10e-05 | 1:03:03 | 0:45:39 + 5850 | 1 | 0.927881 | 0.916374 | 4.01e-05 | 1:03:35 | 0:45:06 + 5900 | 1 | 0.971198 | 0.917399 | 3.93e-05 | 1:04:07 | 0:44:33 + 5950 | 1 | 0.985979 | 0.917188 | 3.85e-05 | 1:04:39 | 0:44:00 + 6000 | 1 | 0.975363 | 0.918729 | 3.77e-05 | 1:05:10 | 0:43:27 +[12:48:26] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-6000 +[12:48:26] Generating 16 validation images ... +[12:48:38] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0006000.png + 6050 | 1 | 0.961420 | 0.919590 | 3.69e-05 | 1:05:59 | 0:43:05 + 6100 | 1 | 0.928926 | 0.920701 | 3.61e-05 | 1:06:31 | 0:42:31 + 6150 | 1 | 0.888329 | 0.920640 | 3.53e-05 | 1:07:03 | 0:41:58 + 6200 | 1 | 0.818887 | 0.919331 | 3.45e-05 | 1:07:35 | 0:41:25 + 6250 | 1 | 0.814528 | 0.917514 | 3.38e-05 | 1:08:06 | 0:40:52 + 6300 | 1 | 0.928902 | 0.916757 | 3.30e-05 | 1:08:38 | 0:40:18 + 6350 | 1 | 0.807111 | 0.916542 | 3.22e-05 | 1:09:10 | 0:39:45 + 6400 | 1 | 0.838433 | 0.914737 | 3.14e-05 | 1:09:42 | 0:39:12 + 6450 | 1 | 0.971195 | 0.915825 | 3.07e-05 | 1:10:14 | 0:38:39 + 6500 | 1 | 0.924131 | 0.915880 | 2.99e-05 | 1:10:45 | 0:38:06 + 6550 | 1 | 0.938967 | 0.915309 | 2.92e-05 | 1:11:17 | 0:37:33 + 6600 | 1 | 0.927926 | 0.915077 | 2.84e-05 | 1:11:49 | 0:37:00 + 6650 | 1 | 0.900570 | 0.915016 | 2.77e-05 | 1:12:21 | 0:36:27 + 6700 | 1 | 0.966644 | 0.914718 | 2.69e-05 | 1:12:53 | 0:35:53 + 6750 | 1 | 0.940187 | 0.914044 | 2.62e-05 | 1:13:25 | 0:35:20 + 6800 | 1 | 0.944924 | 0.915249 | 2.55e-05 | 1:13:56 | 0:34:47 + 6850 | 1 | 0.857425 | 0.914176 | 2.48e-05 | 1:14:28 | 0:34:14 + 6900 | 1 | 0.822066 | 0.912881 | 2.41e-05 | 1:15:00 | 0:33:41 + 6950 | 1 | 0.909903 | 0.911942 | 2.33e-05 | 1:15:32 | 0:33:09 + 7000 | 1 | 0.942473 | 0.912552 | 2.27e-05 | 1:16:04 | 0:32:36 +[12:59:15] Generating 16 validation images ... +[12:59:27] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0007000.png + 7050 | 1 | 0.952114 | 0.912906 | 2.20e-05 | 1:16:48 | 0:32:08 +[13:00:18] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.916096 --- + 7100 | 2 | 0.912200 | 0.914397 | 2.13e-05 | 1:17:20 | 0:31:35 + 7150 | 2 | 0.843399 | 0.913733 | 2.06e-05 | 1:17:51 | 0:31:02 + 7200 | 2 | 0.942591 | 0.914349 | 1.99e-05 | 1:18:23 | 0:30:29 + 7250 | 2 | 0.899344 | 0.914555 | 1.93e-05 | 1:18:55 | 0:29:56 + 7300 | 2 | 0.932643 | 0.914714 | 1.86e-05 | 1:19:27 | 0:29:23 + 7350 | 2 | 0.957774 | 0.915107 | 1.80e-05 | 1:19:58 | 0:28:50 + 7400 | 2 | 0.858030 | 0.914661 | 1.74e-05 | 1:20:30 | 0:28:17 + 7450 | 2 | 0.872681 | 0.914357 | 1.67e-05 | 1:21:02 | 0:27:44 + 7500 | 2 | 0.884336 | 0.913387 | 1.61e-05 | 1:21:34 | 0:27:11 + 7550 | 2 | 1.010102 | 0.913516 | 1.55e-05 | 1:22:05 | 0:26:38 + 7600 | 2 | 0.921403 | 0.914101 | 1.49e-05 | 1:22:37 | 0:26:05 + 7650 | 2 | 1.025305 | 0.915864 | 1.44e-05 | 1:23:09 | 0:25:32 + 7700 | 2 | 0.897488 | 0.915625 | 1.38e-05 | 1:23:41 | 0:24:59 + 7750 | 2 | 0.830852 | 0.915383 | 1.32e-05 | 1:24:12 | 0:24:26 + 7800 | 2 | 0.929243 | 0.915614 | 1.27e-05 | 1:24:44 | 0:23:54 + 7850 | 2 | 0.858401 | 0.914400 | 1.21e-05 | 1:25:16 | 0:23:21 + 7900 | 2 | 0.963547 | 0.913921 | 1.16e-05 | 1:25:48 | 0:22:48 + 7950 | 2 | 0.888639 | 0.913470 | 1.11e-05 | 1:26:20 | 0:22:15 + 8000 | 2 | 0.968786 | 0.914882 | 1.05e-05 | 1:26:51 | 0:21:42 +[13:10:07] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-8000 +[13:10:07] Removed old checkpoint: checkpoint-2000 +[13:10:08] Generating 16 validation images ... +[13:10:20] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0008000.png + 8050 | 2 | 0.953750 | 0.915357 | 1.00e-05 | 1:27:42 | 0:21:14 + 8100 | 2 | 0.958963 | 0.915472 | 9.55e-06 | 1:28:14 | 0:20:41 + 8150 | 2 | 0.941319 | 0.914330 | 9.07e-06 | 1:28:45 | 0:20:08 + 8200 | 2 | 0.807797 | 0.913061 | 8.60e-06 | 1:29:17 | 0:19:36 + 8250 | 2 | 0.869033 | 0.912989 | 8.14e-06 | 1:29:49 | 0:19:03 + 8300 | 2 | 0.837824 | 0.911212 | 7.70e-06 | 1:30:21 | 0:18:30 + 8350 | 2 | 0.912186 | 0.911527 | 7.26e-06 | 1:30:52 | 0:17:57 + 8400 | 2 | 0.944570 | 0.911571 | 6.84e-06 | 1:31:24 | 0:17:24 + 8450 | 2 | 0.784895 | 0.910352 | 6.43e-06 | 1:31:56 | 0:16:51 + 8500 | 2 | 0.852053 | 0.909467 | 6.03e-06 | 1:32:28 | 0:16:19 + 8550 | 2 | 0.990933 | 0.910325 | 5.64e-06 | 1:32:59 | 0:15:46 + 8600 | 2 | 0.928427 | 0.910174 | 5.26e-06 | 1:33:31 | 0:15:13 + 8650 | 2 | 0.812242 | 0.909094 | 4.90e-06 | 1:34:03 | 0:14:40 + 8700 | 2 | 0.947832 | 0.908225 | 4.55e-06 | 1:34:35 | 0:14:08 + 8750 | 2 | 0.954368 | 0.907254 | 4.21e-06 | 1:35:07 | 0:13:35 + 8800 | 2 | 0.886053 | 0.907379 | 3.89e-06 | 1:35:38 | 0:13:02 + 8850 | 2 | 0.910107 | 0.907347 | 3.57e-06 | 1:36:10 | 0:12:29 + 8900 | 2 | 0.974632 | 0.909199 | 3.27e-06 | 1:36:42 | 0:11:57 + 8950 | 2 | 0.829447 | 0.908677 | 2.98e-06 | 1:37:14 | 0:11:24 + 9000 | 2 | 0.877147 | 0.908663 | 2.71e-06 | 1:37:45 | 0:10:51 +[13:20:57] Generating 16 validation images ... +[13:21:09] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0009000.png + 9050 | 2 | 0.903442 | 0.908290 | 2.45e-06 | 1:38:30 | 0:10:20 + 9100 | 2 | 0.892891 | 0.907987 | 2.20e-06 | 1:39:01 | 0:09:47 + 9150 | 2 | 0.900078 | 0.907786 | 1.96e-06 | 1:39:33 | 0:09:14 + 9200 | 2 | 0.876116 | 0.907843 | 1.74e-06 | 1:40:05 | 0:08:42 + 9250 | 2 | 0.848716 | 0.907637 | 1.53e-06 | 1:40:37 | 0:08:09 + 9300 | 2 | 0.913660 | 0.908180 | 1.33e-06 | 1:41:08 | 0:07:36 + 9350 | 2 | 0.950483 | 0.907889 | 1.15e-06 | 1:41:40 | 0:07:04 + 9400 | 2 | 0.921779 | 0.908182 | 9.81e-07 | 1:42:12 | 0:06:31 + 9450 | 2 | 0.793946 | 0.907148 | 8.25e-07 | 1:42:44 | 0:05:58 + 9500 | 2 | 0.865129 | 0.906546 | 6.82e-07 | 1:43:15 | 0:05:26 + 9550 | 2 | 0.909446 | 0.906216 | 5.53e-07 | 1:43:47 | 0:04:53 + 9600 | 2 | 0.890455 | 0.906284 | 4.37e-07 | 1:44:19 | 0:04:20 + 9650 | 2 | 1.023986 | 0.906950 | 3.35e-07 | 1:44:51 | 0:03:48 + 9700 | 2 | 0.987765 | 0.907288 | 2.46e-07 | 1:45:23 | 0:03:15 + 9750 | 2 | 0.849992 | 0.907426 | 1.71e-07 | 1:45:54 | 0:02:42 + 9800 | 2 | 0.893412 | 0.907014 | 1.09e-07 | 1:46:26 | 0:02:10 + 9850 | 2 | 0.919199 | 0.906373 | 6.15e-08 | 1:46:58 | 0:01:37 + 9900 | 2 | 0.990386 | 0.906842 | 2.73e-08 | 1:47:30 | 0:01:05 + 9950 | 2 | 0.906364 | 0.906786 | 6.83e-09 | 1:48:01 | 0:00:32 + 10000 | 2 | 0.946050 | 0.907024 | 0.00e+00 | 1:48:33 | 0:00:00 +[13:31:49] Saved checkpoint -> RESULTS/flicker8k/run_002/checkpoint-10000 +[13:31:50] Removed old checkpoint: checkpoint-4000 +[13:31:50] Generating 16 validation images ... +[13:32:02] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0010000.png +[13:32:02] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.916898 --- +[13:32:02] Saving final model ... +[13:32:11] Pipeline saved -> RESULTS/flicker8k/run_002 +[13:32:11] Generating final validation collage ... +[13:32:11] Generating 16 validation images ... +[13:32:23] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_002/validation/collage_step_0010000.png +[13:32:23] +[13:32:23] ============================================================ +[13:32:23] TRAINING SUMMARY +[13:32:23] ============================================================ +[13:32:23] Total steps : 200 +[13:32:23] Final loss : 0.946050 +[13:32:23] Avg last 100 : 0.907024 +[13:32:23] Min loss : 0.678648 +[13:32:23] Total time : 1:49:12 +[13:32:23] Output : RESULTS/flicker8k/run_002 +[13:32:23] ============================================================ diff --git a/flicker8k/sana 0.6/Baseline/training_args.json b/flicker8k/sana 0.6/Baseline/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..409c4ec51a33a58131e4992e275cc8101e33fb96 --- /dev/null +++ b/flicker8k/sana 0.6/Baseline/training_args.json @@ -0,0 +1,46 @@ +{ + "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "revision": null, + "variant": null, + "cache_dir": null, + "data_dir": "../data/flicker8k", + "caption_file_train": "caption_train.json", + "caption_file_val": "caption_val.json", + "images_dir": "images", + "max_captions_per_image": 5, + "results_root": "RESULTS", + "seed": 42, + "resolution": 512, + "train_batch_size": 8, + "max_train_steps": 10000, + "num_train_epochs": 3, + "gradient_accumulation_steps": 1, + "gradient_checkpointing": false, + "learning_rate": 0.0001, + "scale_lr": false, + "lr_scheduler": "cosine", + "lr_warmup_steps": 500, + "lr_num_cycles": 1, + "optimizer": "AdamW", + "adam_beta1": 0.9, + "adam_beta2": 0.999, + "adam_weight_decay": 0.01, + "adam_epsilon": 1e-08, + "max_grad_norm": 1.0, + "mixed_precision": "bf16", + "allow_tf32": false, + "checkpointing_steps": 2000, + "checkpoints_total_limit": 3, + "resume_from_checkpoint": null, + "validation_steps": 1000, + "validation_prompts_file": null, + "log_every_n_steps": 50, + "weighting_scheme": "logit_normal", + "logit_mean": 0.0, + "logit_std": 1.0, + "mode_scale": 1.29, + "max_sequence_length": 256, + "dataloader_num_workers": 4, + "pin_memory": false, + "output_dir": "RESULTS/flicker8k/run_002" +} \ No newline at end of file diff --git a/flicker8k/sana 0.6/Baseline/training_summary.json b/flicker8k/sana 0.6/Baseline/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..da89e3b59abd17ae7b9ed55f5ee441b714f37bfa --- /dev/null +++ b/flicker8k/sana 0.6/Baseline/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.9460504055023193, + "avg_last_100": 0.9070236712694169, + "min_loss": 0.6786479949951172, + "total_time": "1:49:12" +} \ No newline at end of file diff --git a/flicker8k/sana 0.6/RAD/model_index.json b/flicker8k/sana 0.6/RAD/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 0.6/RAD/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 0.6/RAD/training.log b/flicker8k/sana 0.6/RAD/training.log new file mode 100644 index 0000000000000000000000000000000000000000..bf16e5865b01bd27dfd6abf0adfe6863dfda6ec0 --- /dev/null +++ b/flicker8k/sana 0.6/RAD/training.log @@ -0,0 +1,305 @@ +Training started: 2026-07-29 07:27:34 +========================================================================================================================================================================== + Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA +-------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +[07:27:34] Run directory: RESULTS/flicker8k/run_001 +[07:27:34] cuDNN SDPA disabled -- Flash/math backend for bf16 compatibility +[07:27:34] AGD: temperature=0.1, curriculum_steps=5000, max_delta=300 +[07:27:34] TAM: enabled=True, alpha=0.9, factor=0.5 +[07:27:34] SAD: enabled=True, temperature=0.5 +[07:27:34] Loading pretrained SANA components ... +[07:27:51] Transformer params: 591,747,872 total, 591,747,872 trainable +[07:27:51] Building dataset ... +[07:27:51] TAM initialised: 28315 samples tracked. +[07:27:51] +[07:27:51] ======================================================================== +[07:27:51] Output dir = RESULTS/flicker8k/run_001 +[07:27:51] Num examples = 28315 +[07:27:51] Num epochs = 3 +[07:27:51] Batch/device = 8 +[07:27:51] Effective BS = 8 +[07:27:51] Total optim steps = 10000 +[07:27:51] LR = 0.0001 +[07:27:51] Precision = bf16 +[07:27:51] --- AGD Easy-to-Hard Curriculum --- +[07:27:51] AGD temperature = 0.1 +[07:27:51] Curriculum steps = 5000 +[07:27:51] Max timestep delta = 300 +[07:27:51] --- TAM: Temporal Advantage Memory --- +[07:27:51] TAM enabled = True +[07:27:51] TAM alpha (EMA decay) = 0.9 +[07:27:51] TAM factor (modulation)= 0.5 +[07:27:51] TAM log every = 500 steps +[07:27:51] --- SAD: Spectral Advantage Decomposition --- +[07:27:51] SAD enabled = True +[07:27:51] SAD temperature = 0.5 +[07:27:51] ======================================================================== +[07:27:51] + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[07:34:35] [TAM stats @ step 500] mean=-0.0001 std=0.0012 max=0.0187 min=-0.0175 visits=4000 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[07:41:18] [TAM stats @ step 1000] mean=-0.0003 std=0.0020 max=0.0228 min=-0.0175 visits=8000 +[07:41:18] Generating 16 validation images ... +[07:41:31] Validation at step 1000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0001000.png + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[07:48:14] [TAM stats @ step 1500] mean=-0.0008 std=0.0029 max=0.0536 min=-0.0233 visits=12000 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[07:54:57] [TAM stats @ step 2000] mean=-0.0014 std=0.0038 max=0.0536 min=-0.0255 visits=16000 +[07:55:02] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-2000 +[07:55:02] Generating 16 validation images ... +[07:55:15] Validation at step 2000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0002000.png + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[08:01:58] [TAM stats @ step 2500] mean=-0.0022 std=0.0048 max=0.0616 min=-0.0267 visits=20000 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[08:08:40] [TAM stats @ step 3000] mean=-0.0031 std=0.0059 max=0.0735 min=-0.0308 visits=24000 +[08:08:40] Generating 16 validation images ... +[08:08:53] Validation at step 3000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0003000.png + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[08:15:35] [TAM stats @ step 3500] mean=-0.0042 std=0.0069 max=0.0735 min=-0.0353 visits=28000 +[08:16:06] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.906652 --- + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[08:22:16] [TAM stats @ step 4000] mean=-0.0053 std=0.0086 max=0.0735 min=-0.0518 visits=31995 +[08:22:21] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-4000 +[08:22:21] Generating 16 validation images ... +[08:22:33] Validation at step 4000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0004000.png + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[08:29:16] [TAM stats @ step 4500] mean=-0.0066 std=0.0102 max=0.1121 min=-0.0594 visits=35995 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[08:35:58] [TAM stats @ step 5000] mean=-0.0080 std=0.0117 max=0.1121 min=-0.0663 visits=39995 +[08:35:58] Generating 16 validation images ... +[08:36:10] Validation at step 5000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0005000.png + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[08:42:52] [TAM stats @ step 5500] mean=-0.0088 std=0.0121 max=0.1121 min=-0.0663 visits=43995 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[08:49:35] [TAM stats @ step 6000] mean=-0.0096 std=0.0125 max=0.1121 min=-0.0663 visits=47995 +[08:49:39] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-6000 +[08:49:39] Generating 16 validation images ... +[08:49:51] Validation at step 6000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0006000.png + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[08:56:34] [TAM stats @ step 6500] mean=-0.0104 std=0.0128 max=0.1121 min=-0.0663 visits=51995 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[09:03:16] [TAM stats @ step 7000] mean=-0.0111 std=0.0131 max=0.1121 min=-0.0663 visits=55995 +[09:03:16] Generating 16 validation images ... +[09:03:29] Validation at step 7000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0007000.png + 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 +[09:04:32] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.895855 --- + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[09:10:11] [TAM stats @ step 7500] mean=-0.0118 std=0.0137 max=0.1121 min=-0.0940 visits=59990 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[09:16:53] [TAM stats @ step 8000] mean=-0.0125 std=0.0142 max=0.1087 min=-0.0940 visits=63990 +[09:16:57] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-8000 +[09:16:58] Removed old checkpoint: checkpoint-2000 +[09:16:58] Generating 16 validation images ... +[09:17:10] Validation at step 8000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0008000.png + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[09:23:52] [TAM stats @ step 8500] mean=-0.0132 std=0.0147 max=0.1087 min=-0.0940 visits=67990 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[09:30:34] [TAM stats @ step 9000] mean=-0.0138 std=0.0152 max=0.1188 min=-0.0940 visits=71990 +[09:30:34] Generating 16 validation images ... +[09:30:47] Validation at step 9000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0009000.png + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[09:37:29] [TAM stats @ step 9500] mean=-0.0145 std=0.0156 max=0.1188 min=-0.0940 visits=75990 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 + 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 +[09:44:11] [TAM stats @ step 10000] mean=-0.0152 std=0.0160 max=0.2159 min=-0.0940 visits=79990 +[09:44:16] Saved checkpoint -> RESULTS/flicker8k/run_001/checkpoint-10000 +[09:44:16] Removed old checkpoint: checkpoint-4000 +[09:44:16] Generating 16 validation images ... +[09:44:29] Validation at step 10000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0010000.png +[09:44:29] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.897741 --- +[09:44:29] Saving final model ... +[09:44:38] Pipeline saved -> RESULTS/flicker8k/run_001 +[09:44:38] TAM scores saved -> RESULTS/flicker8k/run_001/tam_final.pt +[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} +[09:44:38] Generating final validation collage ... +[09:44:38] Generating 16 validation images ... +[09:44:51] Validation at step 10000: 16 images -> RESULTS/flicker8k/run_001/validation/collage_step_0010000.png +[09:44:51] +[09:44:51] ============================================================ +[09:44:51] TRAINING SUMMARY +[09:44:51] ============================================================ +[09:44:51] Total steps : 200 +[09:44:51] Final loss : 0.909751 +[09:44:51] Avg last 100 : 0.890100 +[09:44:51] Min loss : 0.664164 +[09:44:51] Total time : 2:17:16 +[09:44:51] Output : RESULTS/flicker8k/run_001 +[09:44:51] ============================================================ diff --git a/flicker8k/sana 0.6/RAD/training_summary.json b/flicker8k/sana 0.6/RAD/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..668e2f24abb50d8bfc5ec20a47f8b2cc9193f1dd --- /dev/null +++ b/flicker8k/sana 0.6/RAD/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.9097508788108826, + "avg_last_100": 0.8901002085208893, + "min_loss": 0.6641639471054077, + "total_time": "2:17:16" +} \ No newline at end of file diff --git a/flicker8k/sana 0.6/SRA/checkpoint-10000/transformer/config.json b/flicker8k/sana 0.6/SRA/checkpoint-10000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b7814ea94be1ebd23ec7b5fd14517ffd32bac574 --- /dev/null +++ b/flicker8k/sana 0.6/SRA/checkpoint-10000/transformer/config.json @@ -0,0 +1,26 @@ +{ + "_class_name": "SanaTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "attention_bias": false, + "attention_head_dim": 32, + "caption_channels": 2304, + "cross_attention_dim": 1152, + "cross_attention_head_dim": 72, + "dropout": 0.0, + "guidance_embeds": false, + "guidance_embeds_scale": 0.1, + "in_channels": 32, + "interpolation_scale": null, + "mlp_ratio": 2.5, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "num_attention_heads": 36, + "num_cross_attention_heads": 16, + "num_layers": 28, + "out_channels": 32, + "patch_size": 1, + "qk_norm": null, + "sample_size": 16, + "timestep_scale": 1.0 +} diff --git a/flicker8k/sana 0.6/SRA/model_index.json b/flicker8k/sana 0.6/SRA/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 0.6/SRA/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 0.6/SRA/scheduler/scheduler_config.json b/flicker8k/sana 0.6/SRA/scheduler/scheduler_config.json new file mode 100644 index 0000000000000000000000000000000000000000..438267411be16a289ebaf6964fbea7c4d11c15f8 --- /dev/null +++ b/flicker8k/sana 0.6/SRA/scheduler/scheduler_config.json @@ -0,0 +1,40 @@ +{ + "_class_name": "FlowMatchEulerDiscreteScheduler", + "_diffusers_version": "0.37.1", + "algorithm_type": "dpmsolver++", + "base_image_seq_len": 256, + "base_shift": 0.5, + "beta_end": 0.02, + "beta_schedule": "linear", + "beta_start": 0.0001, + "dynamic_thresholding_ratio": 0.995, + "euler_at_final": false, + "final_sigmas_type": "zero", + "flow_shift": 3.0, + "invert_sigmas": false, + "lambda_min_clipped": -Infinity, + "lower_order_final": true, + "max_image_seq_len": 4096, + "max_shift": 1.15, + "num_train_timesteps": 1000, + "prediction_type": "flow_prediction", + "rescale_betas_zero_snr": false, + "sample_max_value": 1.0, + "shift": 1.0, + "shift_terminal": null, + "solver_order": 2, + "solver_type": "midpoint", + "steps_offset": 0, + "stochastic_sampling": false, + "thresholding": false, + "time_shift_type": "exponential", + "timestep_spacing": "linspace", + "trained_betas": null, + "use_beta_sigmas": false, + "use_dynamic_shifting": false, + "use_exponential_sigmas": false, + "use_flow_sigmas": true, + "use_karras_sigmas": false, + "use_lu_lambdas": false, + "variance_type": null +} diff --git a/flicker8k/sana 0.6/SRA/text_encoder/config.json b/flicker8k/sana 0.6/SRA/text_encoder/config.json new file mode 100644 index 0000000000000000000000000000000000000000..8caf765a38d6b143f27b8326f4fd4b2d3c054613 --- /dev/null +++ b/flicker8k/sana 0.6/SRA/text_encoder/config.json @@ -0,0 +1,68 @@ +{ + "architectures": [ + "Gemma2Model" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "attn_logit_softcapping": 50.0, + "bos_token_id": 2, + "cache_implementation": "hybrid", + "dtype": "bfloat16", + "eos_token_id": [ + 1, + 107 + ], + "final_logit_softcapping": 30.0, + "head_dim": 256, + "hidden_act": "gelu_pytorch_tanh", + "hidden_activation": "gelu_pytorch_tanh", + "hidden_size": 2304, + "initializer_range": 0.02, + "intermediate_size": 9216, + "layer_types": [ + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention" + ], + "max_position_embeddings": 8192, + "model_type": "gemma2", + "num_attention_heads": 8, + "num_hidden_layers": 26, + "num_key_value_heads": 4, + "pad_token_id": 0, + "query_pre_attn_scalar": 256, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 10000.0, + "rope_type": "default" + }, + "sliding_window": 4096, + "tie_word_embeddings": true, + "transformers_version": "5.9.0", + "use_bidirectional_attention": null, + "use_cache": true, + "vocab_size": 256000 +} diff --git a/flicker8k/sana 0.6/SRA/tokenizer/chat_template.jinja b/flicker8k/sana 0.6/SRA/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..923ec253c8dbefbb41cf084db7251df41d000f6d --- /dev/null +++ b/flicker8k/sana 0.6/SRA/tokenizer/chat_template.jinja @@ -0,0 +1,4 @@ +{{ 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 %}{{ '' + role + ' +' + message['content'] | trim + ' +' }}{% endfor %}{% if add_generation_prompt %}{{'model +'}}{% endif %} \ No newline at end of file diff --git a/flicker8k/sana 0.6/SRA/tokenizer/tokenizer_config.json b/flicker8k/sana 0.6/SRA/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4cda396aa4050a6cb92d7a4c0297031eb80e6d --- /dev/null +++ b/flicker8k/sana 0.6/SRA/tokenizer/tokenizer_config.json @@ -0,0 +1,20 @@ +{ + "backend": "tokenizers", + "bos_token": "", + "clean_up_tokenization_spaces": false, + "eos_token": "", + "extra_special_tokens": [ + "", + "" + ], + "is_local": false, + "local_files_only": false, + "mask_token": "", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "sp_model_kwargs": {}, + "spaces_between_special_tokens": false, + "tokenizer_class": "GemmaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +} diff --git a/flicker8k/sana 0.6/SRA/training.log b/flicker8k/sana 0.6/SRA/training.log new file mode 100644 index 0000000000000000000000000000000000000000..d80f6162160a539a3601cc100622edaaaefd4b4e --- /dev/null +++ b/flicker8k/sana 0.6/SRA/training.log @@ -0,0 +1,280 @@ +Training started: 2026-08-13 05:49:37 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[05:49:37] Run directory: RESULTS/flicker8k/run_014 +[05:49:37] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[05:49:37] Loading pretrained SANA components ... +[05:50:16] Transformer params: 591,747,872 total, 591,747,872 trainable +[05:50:16] Building SRA teacher (EMA copy of transformer) and projection head ... +[05:50:20] Alignment: student block 6 -> teacher block 14 (of 28) +[05:50:20] Time interval k ~ U(0, 0.2), teacher_t = clamp(student_t - k, 0, 1) +[05:50:20] Loss type: sml1, EMA decay: 0.9999 +[05:50:20] Align weight: progress-based decay (default) -- start_frac=0.15, span_frac=0.35 +[05:50:20] SRA projection head params: 5,311,872 +[05:50:20] Building dataset ... +[05:50:20] Step-based training: 10000 steps (~3 epochs over dataset) +[05:50:23] SRA teacher initialized (synced with student weights). +[05:50:23] +[05:50:23] ================================================================ +[05:50:23] Output dir = RESULTS/flicker8k/run_014 +[05:50:23] Num examples = 28315 +[05:50:23] Num epochs = 3 +[05:50:23] Batch/device = 8 +[05:50:23] Grad accum = 1 +[05:50:23] Effective BS = 8 +[05:50:23] Total optim steps = 10000 +[05:50:23] LR = 0.0001 +[05:50:23] Precision = bf16 +[05:50:23] Log every = 50 steps +[05:50:23] Validate every = 1000 steps +[05:50:23] Checkpoint every = 2000 steps +[05:50:23] ================================================================ +[05:50:23] + 50 | 0 | 1.380900 | 1.380900 | 1.00e-05 | 0:01:30 | 5:00:49 | Gen 0.951731 | Align 2.145846 + 100 | 0 | 1.481066 | 1.430983 | 2.00e-05 | 0:02:05 | 3:27:28 | Gen 1.068895 | Align 2.060858 + 150 | 0 | 1.418836 | 1.426934 | 3.00e-05 | 0:02:40 | 2:56:08 | Gen 1.031977 | Align 1.934291 + 200 | 0 | 1.416307 | 1.424277 | 4.00e-05 | 0:03:16 | 2:40:13 | Gen 1.029969 | Align 1.931689 + 250 | 0 | 1.250405 | 1.389503 | 5.00e-05 | 0:03:51 | 2:30:28 | Gen 0.894685 | Align 1.778598 + 300 | 0 | 1.320946 | 1.378077 | 6.00e-05 | 0:04:26 | 2:23:49 | Gen 0.959819 | Align 1.805634 + 350 | 0 | 1.367962 | 1.376632 | 7.00e-05 | 0:05:02 | 2:18:53 | Gen 1.008994 | Align 1.794841 + 400 | 0 | 1.305005 | 1.367678 | 8.00e-05 | 0:05:37 | 2:15:03 | Gen 0.978572 | Align 1.632165 + 450 | 0 | 1.184980 | 1.347379 | 9.00e-05 | 0:06:13 | 2:11:56 | Gen 0.909300 | Align 1.378401 + 500 | 0 | 1.243031 | 1.336944 | 1.00e-04 | 0:06:48 | 2:09:19 | Gen 0.959500 | Align 1.417652 + 550 | 0 | 0.966000 | 1.303222 | 1.00e-04 | 0:07:23 | 2:07:04 | Gen 0.708033 | Align 1.289835 + 600 | 0 | 1.131236 | 1.288889 | 1.00e-04 | 0:07:59 | 2:05:06 | Gen 0.868573 | Align 1.313315 + 650 | 0 | 1.207377 | 1.282619 | 9.99e-05 | 0:08:34 | 2:03:21 | Gen 0.939020 | Align 1.341786 + 700 | 0 | 1.174567 | 1.274901 | 9.99e-05 | 0:09:09 | 2:01:46 | Gen 0.928207 | Align 1.231802 + 750 | 0 | 1.135796 | 1.265628 | 9.98e-05 | 0:09:45 | 2:00:18 | Gen 0.878742 | Align 1.285270 + 800 | 0 | 1.157520 | 1.258871 | 9.98e-05 | 0:10:20 | 1:58:57 | Gen 0.913070 | Align 1.222250 + 850 | 0 | 1.250895 | 1.258402 | 9.97e-05 | 0:10:56 | 1:57:42 | Gen 0.997196 | Align 1.268495 + 900 | 0 | 1.202105 | 1.255274 | 9.96e-05 | 0:11:31 | 1:56:31 | Gen 0.954097 | Align 1.240040 + 950 | 0 | 1.132340 | 1.248804 | 9.94e-05 | 0:12:06 | 1:55:23 | Gen 0.884172 | Align 1.240842 + 1000 | 0 | 1.152287 | 1.243978 | 9.93e-05 | 0:12:42 | 1:54:19 | Gen 0.903412 | Align 1.244376 +[06:02:23] Generating 16 validation images ... +[06:02:37] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0001000.png + 1050 | 0 | 1.134317 | 1.238756 | 9.92e-05 | 0:13:37 | 1:56:08 | Gen 0.901149 | Align 1.165840 + 1100 | 0 | 1.123318 | 1.233509 | 9.90e-05 | 0:14:12 | 1:55:00 | Gen 0.874471 | Align 1.244231 + 1150 | 0 | 1.138805 | 1.229391 | 9.88e-05 | 0:14:48 | 1:53:56 | Gen 0.887729 | Align 1.255383 + 1200 | 0 | 1.159714 | 1.226488 | 9.87e-05 | 0:15:23 | 1:52:54 | Gen 0.912597 | Align 1.235582 + 1250 | 0 | 1.160986 | 1.223868 | 9.85e-05 | 0:15:59 | 1:51:54 | Gen 0.918695 | Align 1.211452 + 1300 | 0 | 1.157139 | 1.221302 | 9.83e-05 | 0:16:34 | 1:50:56 | Gen 0.921466 | Align 1.178364 + 1350 | 0 | 1.107673 | 1.217093 | 9.80e-05 | 0:17:10 | 1:50:00 | Gen 0.877902 | Align 1.148854 + 1400 | 0 | 1.113971 | 1.213410 | 9.78e-05 | 0:17:45 | 1:49:05 | Gen 0.874554 | Align 1.197083 + 1450 | 0 | 1.086614 | 1.209038 | 9.76e-05 | 0:18:21 | 1:48:12 | Gen 0.841538 | Align 1.225383 + 1500 | 0 | 1.144769 | 1.206896 | 9.73e-05 | 0:18:56 | 1:47:19 | Gen 0.903322 | Align 1.207238 + 1550 | 0 | 1.168423 | 1.205655 | 9.70e-05 | 0:19:31 | 1:46:28 | Gen 0.951286 | Align 1.121258 + 1600 | 0 | 1.242223 | 1.206797 | 9.67e-05 | 0:20:07 | 1:45:37 | Gen 1.012465 | Align 1.226099 + 1650 | 0 | 1.180152 | 1.205990 | 9.64e-05 | 0:20:42 | 1:44:48 | Gen 0.971182 | Align 1.152459 + 1700 | 0 | 0.942747 | 1.198247 | 9.61e-05 | 0:21:17 | 1:43:59 | Gen 0.730291 | Align 1.210866 + 1750 | 0 | 1.080176 | 1.194874 | 9.58e-05 | 0:21:53 | 1:43:11 | Gen 0.881223 | Align 1.171825 + 1800 | 0 | 1.094378 | 1.192082 | 9.55e-05 | 0:22:28 | 1:42:24 | Gen 0.889677 | Align 1.246001 + 1850 | 0 | 1.217386 | 1.192766 | 9.51e-05 | 0:23:04 | 1:41:38 | Gen 1.022676 | Align 1.224822 + 1900 | 0 | 1.153992 | 1.191746 | 9.47e-05 | 0:23:39 | 1:40:52 | Gen 0.964896 | Align 1.229283 + 1950 | 0 | 1.089826 | 1.189133 | 9.44e-05 | 0:24:15 | 1:40:07 | Gen 0.917278 | Align 1.159216 + 2000 | 0 | 1.099452 | 1.186891 | 9.40e-05 | 0:24:50 | 1:39:22 | Gen 0.916569 | Align 1.269737 +[06:14:34] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-2000 +[06:14:35] Generating 16 validation images ... +[06:14:48] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0002000.png + 2050 | 0 | 1.076378 | 1.184195 | 9.36e-05 | 0:25:49 | 1:40:08 | Gen 0.912315 | Align 1.177166 + 2100 | 0 | 0.960685 | 1.178873 | 9.32e-05 | 0:26:24 | 1:39:21 | Gen 0.804005 | Align 1.161788 + 2150 | 0 | 1.117183 | 1.177439 | 9.27e-05 | 0:26:59 | 1:38:34 | Gen 0.967498 | Align 1.147031 + 2200 | 0 | 1.131800 | 1.176402 | 9.23e-05 | 0:27:35 | 1:37:48 | Gen 0.985354 | Align 1.159742 + 2250 | 0 | 1.055039 | 1.173705 | 9.19e-05 | 0:28:10 | 1:37:03 | Gen 0.916352 | Align 1.135022 + 2300 | 0 | 1.071593 | 1.171485 | 9.14e-05 | 0:28:46 | 1:36:18 | Gen 0.930417 | Align 1.194031 + 2350 | 0 | 1.041379 | 1.168717 | 9.09e-05 | 0:29:21 | 1:35:34 | Gen 0.917527 | Align 1.082541 + 2400 | 0 | 1.011630 | 1.165444 | 9.05e-05 | 0:29:56 | 1:34:50 | Gen 0.880381 | Align 1.185554 + 2450 | 0 | 0.853132 | 1.159070 | 9.00e-05 | 0:30:32 | 1:34:06 | Gen 0.728431 | Align 1.164077 + 2500 | 0 | 1.074005 | 1.157369 | 8.95e-05 | 0:31:07 | 1:33:22 | Gen 0.946773 | Align 1.227425 + 2550 | 0 | 0.946301 | 1.153230 | 8.89e-05 | 0:31:43 | 1:32:39 | Gen 0.828604 | Align 1.173417 + 2600 | 0 | 1.015115 | 1.150574 | 8.84e-05 | 0:32:18 | 1:31:57 | Gen 0.905242 | Align 1.132034 + 2650 | 0 | 1.055125 | 1.148773 | 8.79e-05 | 0:32:53 | 1:31:14 | Gen 0.944613 | Align 1.176693 + 2700 | 0 | 0.909583 | 1.144344 | 8.73e-05 | 0:33:29 | 1:30:32 | Gen 0.814124 | Align 1.050408 + 2750 | 0 | 1.091102 | 1.143376 | 8.68e-05 | 0:34:04 | 1:29:50 | Gen 0.989626 | Align 1.153970 + 2800 | 0 | 1.108963 | 1.142761 | 8.62e-05 | 0:34:39 | 1:29:08 | Gen 1.007559 | Align 1.191698 + 2850 | 0 | 1.088641 | 1.141812 | 8.56e-05 | 0:35:15 | 1:28:26 | Gen 0.986063 | Align 1.245815 + 2900 | 0 | 0.910522 | 1.137824 | 8.51e-05 | 0:35:50 | 1:27:45 | Gen 0.821372 | Align 1.118946 + 2950 | 0 | 1.097178 | 1.137135 | 8.45e-05 | 0:36:26 | 1:27:04 | Gen 1.004189 | Align 1.206144 + 3000 | 0 | 1.051517 | 1.135708 | 8.39e-05 | 0:37:01 | 1:26:23 | Gen 0.965845 | Align 1.148404 +[06:26:40] Generating 16 validation images ... +[06:26:53] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0003000.png + 3050 | 0 | 1.048066 | 1.134271 | 8.33e-05 | 0:37:54 | 1:26:21 | Gen 0.960939 | Align 1.206961 + 3100 | 0 | 0.845223 | 1.129609 | 8.26e-05 | 0:38:29 | 1:25:40 | Gen 0.765943 | Align 1.134984 + 3150 | 0 | 1.054258 | 1.128413 | 8.20e-05 | 0:39:04 | 1:24:58 | Gen 0.980218 | Align 1.095422 + 3200 | 0 | 0.928096 | 1.125283 | 8.14e-05 | 0:39:40 | 1:24:17 | Gen 0.853883 | Align 1.134688 + 3250 | 0 | 1.111270 | 1.125068 | 8.07e-05 | 0:40:15 | 1:23:36 | Gen 1.033127 | Align 1.234731 + 3300 | 0 | 1.004457 | 1.123240 | 8.01e-05 | 0:40:50 | 1:22:55 | Gen 0.930194 | Align 1.212673 + 3350 | 0 | 0.978876 | 1.121086 | 7.94e-05 | 0:41:26 | 1:22:15 | Gen 0.905578 | Align 1.236934 + 3400 | 0 | 0.981266 | 1.119029 | 7.87e-05 | 0:42:01 | 1:21:34 | Gen 0.915044 | Align 1.154909 + 3450 | 0 | 0.812154 | 1.114582 | 7.80e-05 | 0:42:36 | 1:20:54 | Gen 0.754142 | Align 1.045562 + 3500 | 0 | 0.853716 | 1.110855 | 7.73e-05 | 0:43:12 | 1:20:14 | Gen 0.788108 | Align 1.221989 +[06:33:17] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 1.119015 --- + 3550 | 1 | 1.017717 | 1.109544 | 7.67e-05 | 0:43:47 | 1:19:33 | Gen 0.950919 | Align 1.285756 + 3600 | 1 | 0.913095 | 1.106815 | 7.59e-05 | 0:44:22 | 1:18:53 | Gen 0.850697 | Align 1.241250 + 3650 | 1 | 0.941446 | 1.104550 | 7.52e-05 | 0:44:58 | 1:18:13 | Gen 0.883344 | Align 1.194445 + 3700 | 1 | 0.906937 | 1.101879 | 7.45e-05 | 0:45:33 | 1:17:34 | Gen 0.850276 | Align 1.203779 + 3750 | 1 | 0.991649 | 1.100410 | 7.38e-05 | 0:46:08 | 1:16:54 | Gen 0.937011 | Align 1.199592 + 3800 | 1 | 1.085357 | 1.100212 | 7.31e-05 | 0:46:44 | 1:16:15 | Gen 1.031113 | Align 1.230772 + 3850 | 1 | 0.888054 | 1.097456 | 7.23e-05 | 0:47:19 | 1:15:35 | Gen 0.836847 | Align 1.200711 + 3900 | 1 | 0.879154 | 1.094657 | 7.16e-05 | 0:47:54 | 1:14:56 | Gen 0.830353 | Align 1.182573 + 3950 | 1 | 0.991065 | 1.093346 | 7.08e-05 | 0:48:30 | 1:14:17 | Gen 0.945856 | Align 1.132149 + 4000 | 1 | 1.062996 | 1.092967 | 7.01e-05 | 0:49:05 | 1:13:38 | Gen 1.015521 | Align 1.228666 +[06:38:48] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-4000 +[06:38:49] Generating 16 validation images ... +[06:39:02] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0004000.png + 4050 | 1 | 0.978116 | 1.091549 | 6.93e-05 | 0:50:02 | 1:13:31 | Gen 0.935896 | Align 1.129206 + 4100 | 1 | 0.848476 | 1.088585 | 6.86e-05 | 0:50:38 | 1:12:52 | Gen 0.806043 | Align 1.172876 + 4150 | 1 | 0.921336 | 1.086570 | 6.78e-05 | 0:51:13 | 1:12:12 | Gen 0.882659 | Align 1.104797 + 4200 | 1 | 0.973553 | 1.085224 | 6.70e-05 | 0:51:48 | 1:11:33 | Gen 0.933348 | Align 1.186817 + 4250 | 1 | 0.912567 | 1.083193 | 6.62e-05 | 0:52:24 | 1:10:54 | Gen 0.872321 | Align 1.227764 + 4300 | 1 | 1.008566 | 1.082325 | 6.55e-05 | 0:52:59 | 1:10:14 | Gen 0.973468 | Align 1.106541 + 4350 | 1 | 0.943267 | 1.080727 | 6.47e-05 | 0:53:35 | 1:09:35 | Gen 0.907338 | Align 1.170611 + 4400 | 1 | 0.917391 | 1.078871 | 6.39e-05 | 0:54:10 | 1:08:56 | Gen 0.882988 | Align 1.158361 + 4450 | 1 | 0.959193 | 1.077526 | 6.31e-05 | 0:54:45 | 1:08:17 | Gen 0.925688 | Align 1.165856 + 4500 | 1 | 1.015812 | 1.076840 | 6.23e-05 | 0:55:21 | 1:07:39 | Gen 0.982723 | Align 1.189900 + 4550 | 1 | 0.882409 | 1.074704 | 6.15e-05 | 0:55:56 | 1:07:00 | Gen 0.850170 | Align 1.198110 + 4600 | 1 | 0.946427 | 1.073309 | 6.07e-05 | 0:56:31 | 1:06:21 | Gen 0.915556 | Align 1.185644 + 4650 | 1 | 0.987572 | 1.072387 | 5.99e-05 | 0:57:07 | 1:05:43 | Gen 0.958179 | Align 1.166595 + 4700 | 1 | 0.906241 | 1.070620 | 5.90e-05 | 0:57:42 | 1:05:04 | Gen 0.876812 | Align 1.207091 + 4750 | 1 | 1.021646 | 1.070104 | 5.82e-05 | 0:58:17 | 1:04:26 | Gen 0.993027 | Align 1.213124 + 4800 | 1 | 0.870378 | 1.068024 | 5.74e-05 | 0:58:53 | 1:03:47 | Gen 0.842141 | Align 1.236956 + 4850 | 1 | 0.931136 | 1.066613 | 5.66e-05 | 0:59:28 | 1:03:09 | Gen 0.905414 | Align 1.164510 + 4900 | 1 | 0.833229 | 1.064231 | 5.58e-05 | 1:00:03 | 1:02:31 | Gen 0.808099 | Align 1.175754 + 4950 | 1 | 1.029554 | 1.063881 | 5.50e-05 | 1:00:39 | 1:01:52 | Gen 1.004428 | Align 1.214845 + 5000 | 1 | 0.938461 | 1.062627 | 5.41e-05 | 1:01:14 | 1:01:14 | Gen 0.915387 | Align 1.152952 +[06:50:53] Generating 16 validation images ... +[06:51:06] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0005000.png + 5050 | 1 | 0.929614 | 1.058114 | 5.33e-05 | 1:02:06 | 1:00:53 | Gen 0.906807 | Align 1.177703 + 5100 | 1 | 0.928640 | 1.052590 | 5.25e-05 | 1:02:42 | 1:00:14 | Gen 0.906568 | Align 1.177898 + 5150 | 1 | 1.071045 | 1.049112 | 5.17e-05 | 1:03:17 | 0:59:36 | Gen 1.049446 | Align 1.191170 + 5200 | 1 | 0.836910 | 1.043318 | 5.08e-05 | 1:03:52 | 0:58:58 | Gen 0.816515 | Align 1.162398 + 5250 | 1 | 0.883685 | 1.039651 | 5.00e-05 | 1:04:28 | 0:58:19 | Gen 0.863092 | Align 1.212924 + 5300 | 1 | 0.880413 | 1.035245 | 4.92e-05 | 1:05:03 | 0:57:41 | Gen 0.860406 | Align 1.217822 + 5350 | 1 | 1.029163 | 1.031857 | 4.83e-05 | 1:05:38 | 0:57:03 | Gen 1.009681 | Align 1.225532 + 5400 | 1 | 0.791069 | 1.026718 | 4.75e-05 | 1:06:14 | 0:56:25 | Gen 0.773139 | Align 1.165590 + 5450 | 1 | 0.997620 | 1.024844 | 4.67e-05 | 1:06:49 | 0:55:47 | Gen 0.980276 | Align 1.165225 + 5500 | 1 | 0.962292 | 1.022037 | 4.59e-05 | 1:07:25 | 0:55:09 | Gen 0.945997 | Align 1.131398 + 5550 | 1 | 0.910457 | 1.021481 | 4.50e-05 | 1:08:00 | 0:54:31 | Gen 0.894551 | Align 1.141259 + 5600 | 1 | 0.979256 | 1.019962 | 4.42e-05 | 1:08:35 | 0:53:53 | Gen 0.962882 | Align 1.214116 + 5650 | 1 | 0.966087 | 1.017549 | 4.34e-05 | 1:09:11 | 0:53:15 | Gen 0.950960 | Align 1.159230 + 5700 | 1 | 0.901232 | 1.014815 | 4.26e-05 | 1:09:46 | 0:52:38 | Gen 0.885791 | Align 1.222788 + 5750 | 1 | 0.943892 | 1.012896 | 4.18e-05 | 1:10:22 | 0:52:00 | Gen 0.928383 | Align 1.269299 + 5800 | 1 | 0.916236 | 1.010484 | 4.10e-05 | 1:10:57 | 0:51:23 | Gen 0.902263 | Align 1.181787 + 5850 | 1 | 0.945961 | 1.007434 | 4.01e-05 | 1:11:32 | 0:50:45 | Gen 0.932971 | Align 1.135362 + 5900 | 1 | 1.043679 | 1.005850 | 3.93e-05 | 1:12:08 | 0:50:07 | Gen 1.030776 | Align 1.165533 + 5950 | 1 | 0.795880 | 1.002485 | 3.85e-05 | 1:12:43 | 0:49:30 | Gen 0.783017 | Align 1.200694 + 6000 | 1 | 1.008642 | 1.001049 | 3.77e-05 | 1:13:19 | 0:48:52 | Gen 0.996852 | Align 1.137404 +[07:03:02] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-6000 +[07:03:03] Generating 16 validation images ... +[07:03:16] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0006000.png + 6050 | 1 | 0.838600 | 0.998092 | 3.69e-05 | 1:14:16 | 0:48:29 | Gen 0.826315 | Align 1.224833 + 6100 | 1 | 0.984584 | 0.996704 | 3.61e-05 | 1:14:52 | 0:47:51 | Gen 0.972689 | Align 1.225545 + 6150 | 1 | 1.053251 | 0.995849 | 3.53e-05 | 1:15:27 | 0:47:14 | Gen 1.041752 | Align 1.224368 + 6200 | 1 | 0.922402 | 0.993476 | 3.45e-05 | 1:16:02 | 0:46:36 | Gen 0.911636 | Align 1.184743 + 6250 | 1 | 0.929603 | 0.991162 | 3.38e-05 | 1:16:38 | 0:45:58 | Gen 0.918685 | Align 1.241508 + 6300 | 1 | 0.920543 | 0.988796 | 3.30e-05 | 1:17:13 | 0:45:21 | Gen 0.909843 | Align 1.257414 + 6350 | 1 | 0.992506 | 0.987644 | 3.22e-05 | 1:17:48 | 0:44:43 | Gen 0.982681 | Align 1.193278 + 6400 | 1 | 0.985782 | 0.986362 | 3.14e-05 | 1:18:24 | 0:44:06 | Gen 0.976732 | Align 1.135787 + 6450 | 1 | 0.870576 | 0.984202 | 3.07e-05 | 1:18:59 | 0:43:28 | Gen 0.861748 | Align 1.145146 + 6500 | 1 | 0.798922 | 0.980743 | 2.99e-05 | 1:19:34 | 0:42:51 | Gen 0.790072 | Align 1.186246 + 6550 | 1 | 1.040442 | 0.979464 | 2.92e-05 | 1:20:10 | 0:42:13 | Gen 1.031146 | Align 1.287741 + 6600 | 1 | 0.946005 | 0.976501 | 2.84e-05 | 1:20:45 | 0:41:36 | Gen 0.937484 | Align 1.219779 + 6650 | 1 | 0.924361 | 0.973944 | 2.77e-05 | 1:21:20 | 0:40:58 | Gen 0.916085 | Align 1.224403 + 6700 | 1 | 0.958205 | 0.974098 | 2.69e-05 | 1:21:56 | 0:40:21 | Gen 0.950107 | Align 1.238260 + 6750 | 1 | 0.866516 | 0.971962 | 2.62e-05 | 1:22:31 | 0:39:44 | Gen 0.858913 | Align 1.201216 + 6800 | 1 | 1.021076 | 0.971229 | 2.55e-05 | 1:23:06 | 0:39:06 | Gen 1.013268 | Align 1.275059 + 6850 | 1 | 0.947118 | 0.968526 | 2.48e-05 | 1:23:42 | 0:38:29 | Gen 0.940656 | Align 1.090438 + 6900 | 1 | 0.980758 | 0.966794 | 2.41e-05 | 1:24:17 | 0:37:52 | Gen 0.973496 | Align 1.266537 + 6950 | 1 | 0.897505 | 0.964870 | 2.33e-05 | 1:24:53 | 0:37:15 | Gen 0.891444 | Align 1.092381 + 7000 | 1 | 0.950783 | 0.963384 | 2.27e-05 | 1:25:28 | 0:36:37 | Gen 0.944128 | Align 1.239632 +[07:15:07] Generating 16 validation images ... +[07:15:20] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0007000.png + 7050 | 1 | 0.712222 | 0.959742 | 2.20e-05 | 1:26:20 | 0:36:07 | Gen 0.706369 | Align 1.126547 +[07:16:18] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.942086 --- + 7100 | 2 | 1.055383 | 0.960689 | 2.13e-05 | 1:26:55 | 0:35:30 | Gen 1.049323 | Align 1.205496 + 7150 | 2 | 1.011303 | 0.959630 | 2.06e-05 | 1:27:30 | 0:34:53 | Gen 1.005566 | Align 1.179412 + 7200 | 2 | 1.004446 | 0.958357 | 1.99e-05 | 1:28:06 | 0:34:15 | Gen 0.998646 | Align 1.232143 + 7250 | 2 | 0.989968 | 0.957706 | 1.93e-05 | 1:28:41 | 0:33:38 | Gen 0.984470 | Align 1.207142 + 7300 | 2 | 0.918714 | 0.956177 | 1.86e-05 | 1:29:17 | 0:33:01 | Gen 0.913572 | Align 1.166760 + 7350 | 2 | 0.975091 | 0.955514 | 1.80e-05 | 1:29:52 | 0:32:24 | Gen 0.969781 | Align 1.245048 + 7400 | 2 | 0.956407 | 0.954962 | 1.74e-05 | 1:30:27 | 0:31:47 | Gen 0.951294 | Align 1.239129 + 7450 | 2 | 0.912405 | 0.955555 | 1.67e-05 | 1:31:03 | 0:31:09 | Gen 0.907727 | Align 1.171481 + 7500 | 2 | 0.916220 | 0.953977 | 1.61e-05 | 1:31:38 | 0:30:32 | Gen 0.911768 | Align 1.152343 + 7550 | 2 | 0.865165 | 0.953166 | 1.55e-05 | 1:32:13 | 0:29:55 | Gen 0.860947 | Align 1.128040 + 7600 | 2 | 0.871638 | 0.951731 | 1.49e-05 | 1:32:49 | 0:29:18 | Gen 0.867487 | Align 1.147136 + 7650 | 2 | 0.956907 | 0.950749 | 1.44e-05 | 1:33:24 | 0:28:41 | Gen 0.952583 | Align 1.234991 + 7700 | 2 | 0.950734 | 0.951160 | 1.38e-05 | 1:33:59 | 0:28:04 | Gen 0.946388 | Align 1.282950 + 7750 | 2 | 0.801046 | 0.948260 | 1.32e-05 | 1:34:35 | 0:27:27 | Gen 0.797342 | Align 1.129813 + 7800 | 2 | 0.880367 | 0.945974 | 1.27e-05 | 1:35:10 | 0:26:50 | Gen 0.876814 | Align 1.119987 + 7850 | 2 | 0.901065 | 0.944098 | 1.21e-05 | 1:35:45 | 0:26:13 | Gen 0.897316 | Align 1.221498 + 7900 | 2 | 0.848396 | 0.943477 | 1.16e-05 | 1:36:21 | 0:25:36 | Gen 0.844792 | Align 1.213518 + 7950 | 2 | 1.008914 | 0.942594 | 1.11e-05 | 1:36:56 | 0:24:59 | Gen 1.005490 | Align 1.191424 + 8000 | 2 | 0.873400 | 0.940813 | 1.05e-05 | 1:37:31 | 0:24:22 | Gen 0.870272 | Align 1.124844 +[07:27:14] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-8000 +[07:27:15] Removed old checkpoint: checkpoint-2000 +[07:27:16] Generating 16 validation images ... +[07:27:29] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0008000.png + 8050 | 2 | 0.898385 | 0.939316 | 1.00e-05 | 1:38:30 | 0:23:51 | Gen 0.895093 | Align 1.223408 + 8100 | 2 | 0.898287 | 0.939847 | 9.55e-06 | 1:39:05 | 0:23:14 | Gen 0.895004 | Align 1.260800 + 8150 | 2 | 0.992544 | 0.939230 | 9.07e-06 | 1:39:40 | 0:22:37 | Gen 0.989372 | Align 1.258804 + 8200 | 2 | 0.961626 | 0.939565 | 8.60e-06 | 1:40:16 | 0:22:00 | Gen 0.958697 | Align 1.201501 + 8250 | 2 | 0.874891 | 0.937201 | 8.14e-06 | 1:40:51 | 0:21:23 | Gen 0.872113 | Align 1.177686 + 8300 | 2 | 0.810564 | 0.935262 | 7.70e-06 | 1:41:26 | 0:20:46 | Gen 0.807910 | Align 1.162732 + 8350 | 2 | 0.939001 | 0.934863 | 7.26e-06 | 1:42:02 | 0:20:09 | Gen 0.936470 | Align 1.145872 + 8400 | 2 | 0.810049 | 0.933151 | 6.84e-06 | 1:42:37 | 0:19:32 | Gen 0.807558 | Align 1.165410 + 8450 | 2 | 0.970886 | 0.934738 | 6.43e-06 | 1:43:12 | 0:18:55 | Gen 0.968340 | Align 1.230967 + 8500 | 2 | 0.779328 | 0.933995 | 6.03e-06 | 1:43:48 | 0:18:19 | Gen 0.776873 | Align 1.226910 + 8550 | 2 | 0.999881 | 0.933816 | 5.64e-06 | 1:44:23 | 0:17:42 | Gen 0.997483 | Align 1.238246 + 8600 | 2 | 0.941052 | 0.934096 | 5.26e-06 | 1:44:58 | 0:17:05 | Gen 0.938829 | Align 1.185974 + 8650 | 2 | 0.863272 | 0.933314 | 4.90e-06 | 1:45:34 | 0:16:28 | Gen 0.861121 | Align 1.186204 + 8700 | 2 | 0.857681 | 0.932822 | 4.55e-06 | 1:46:09 | 0:15:51 | Gen 0.855612 | Align 1.179182 + 8750 | 2 | 0.874446 | 0.931649 | 4.21e-06 | 1:46:45 | 0:15:15 | Gen 0.872487 | Align 1.153989 + 8800 | 2 | 0.915531 | 0.929951 | 3.89e-06 | 1:47:20 | 0:14:38 | Gen 0.913594 | Align 1.178780 + 8850 | 2 | 0.839261 | 0.929463 | 3.57e-06 | 1:47:56 | 0:14:01 | Gen 0.837348 | Align 1.203863 + 8900 | 2 | 0.912947 | 0.929801 | 3.27e-06 | 1:48:31 | 0:13:24 | Gen 0.911100 | Align 1.200328 + 8950 | 2 | 0.919346 | 0.929084 | 2.98e-06 | 1:49:06 | 0:12:48 | Gen 0.917601 | Align 1.172421 + 9000 | 2 | 1.035592 | 0.928810 | 2.71e-06 | 1:49:42 | 0:12:11 | Gen 1.033866 | Align 1.198606 +[07:39:20] Generating 16 validation images ... +[07:39:33] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0009000.png + 9050 | 2 | 0.800203 | 0.927031 | 2.45e-06 | 1:50:34 | 0:11:36 | Gen 0.798543 | Align 1.190867 + 9100 | 2 | 0.875128 | 0.927297 | 2.20e-06 | 1:51:09 | 0:10:59 | Gen 0.873417 | Align 1.268692 + 9150 | 2 | 1.012898 | 0.928213 | 1.96e-06 | 1:51:44 | 0:10:22 | Gen 1.011215 | Align 1.289636 + 9200 | 2 | 0.967140 | 0.928149 | 1.74e-06 | 1:52:20 | 0:09:46 | Gen 0.965657 | Align 1.174068 + 9250 | 2 | 0.934704 | 0.928370 | 1.53e-06 | 1:52:55 | 0:09:09 | Gen 0.933119 | Align 1.296831 + 9300 | 2 | 0.919213 | 0.927477 | 1.33e-06 | 1:53:30 | 0:08:32 | Gen 0.917669 | Align 1.305609 + 9350 | 2 | 1.027420 | 0.928318 | 1.15e-06 | 1:54:06 | 0:07:55 | Gen 1.025991 | Align 1.248478 + 9400 | 2 | 0.919626 | 0.928341 | 9.81e-07 | 1:54:41 | 0:07:19 | Gen 0.918288 | Align 1.208898 + 9450 | 2 | 0.992591 | 0.928675 | 8.25e-07 | 1:55:16 | 0:06:42 | Gen 0.991246 | Align 1.255576 + 9500 | 2 | 0.908967 | 0.927606 | 6.82e-07 | 1:55:52 | 0:06:05 | Gen 0.907691 | Align 1.231162 + 9550 | 2 | 0.998530 | 0.928767 | 5.53e-07 | 1:56:27 | 0:05:29 | Gen 0.997251 | Align 1.275220 + 9600 | 2 | 0.956971 | 0.928873 | 4.37e-07 | 1:57:02 | 0:04:52 | Gen 0.955831 | Align 1.175321 + 9650 | 2 | 0.884526 | 0.927842 | 3.35e-07 | 1:57:37 | 0:04:15 | Gen 0.883504 | Align 1.087632 + 9700 | 2 | 0.856175 | 0.927342 | 2.46e-07 | 1:58:13 | 0:03:39 | Gen 0.855143 | Align 1.135433 + 9750 | 2 | 0.788561 | 0.925011 | 1.71e-07 | 1:58:48 | 0:03:02 | Gen 0.787486 | Align 1.223029 + 9800 | 2 | 0.930883 | 0.925616 | 1.09e-07 | 1:59:23 | 0:02:26 | Gen 0.929871 | Align 1.188527 + 9850 | 2 | 0.988485 | 0.926189 | 6.15e-08 | 1:59:59 | 0:01:49 | Gen 0.987539 | Align 1.148295 + 9900 | 2 | 0.968458 | 0.927542 | 2.73e-08 | 2:00:34 | 0:01:13 | Gen 0.967556 | Align 1.131525 + 9950 | 2 | 0.896911 | 0.926215 | 6.83e-09 | 2:01:09 | 0:00:36 | Gen 0.895967 | Align 1.224134 + 10000 | 2 | 0.975528 | 0.926586 | 0.00e+00 | 2:01:45 | 0:00:00 | Gen 0.974591 | Align 1.255689 +[07:51:29] Saved checkpoint -> RESULTS/flicker8k/run_014/checkpoint-10000 +[07:51:30] Removed old checkpoint: checkpoint-4000 +[07:51:30] Generating 16 validation images ... +[07:51:43] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0010000.png +[07:51:46] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.919026 --- +[07:51:46] Saving final model ... +[07:51:54] Pipeline saved -> RESULTS/flicker8k/run_014 +[07:51:55] SRA teacher + projection head saved -> RESULTS/flicker8k/run_014/sra (both are training-only auxiliaries; not needed for inference) +[07:51:55] Generating final validation collage ... +[07:51:55] Generating 16 validation images ... +[07:52:08] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_014/validation/collage_step_0010000.png +[07:52:11] +[07:52:11] ============================================================ +[07:52:11] TRAINING SUMMARY +[07:52:11] ============================================================ +[07:52:11] Total steps : 200 +[07:52:11] Final loss : 0.975528 +[07:52:11] Avg last 100 : 0.926586 +[07:52:11] Min loss : 0.712222 +[07:52:11] Total time : 2:02:33 +[07:52:11] Output : RESULTS/flicker8k/run_014 +[07:52:11] ============================================================ diff --git a/flicker8k/sana 0.6/SRA/training_args.json b/flicker8k/sana 0.6/SRA/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..9de731664d1375fef0846a2028f43a13f0a701da --- /dev/null +++ b/flicker8k/sana 0.6/SRA/training_args.json @@ -0,0 +1,58 @@ +{ + "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "revision": null, + "variant": null, + "cache_dir": null, + "data_dir": "../data/flicker8k", + "caption_file_train": "caption_train.json", + "caption_file_val": "caption_val.json", + "images_dir": "images", + "max_captions_per_image": 5, + "results_root": "RESULTS", + "seed": 42, + "resolution": 512, + "train_batch_size": 8, + "max_train_steps": 10000, + "num_train_epochs": 3, + "gradient_accumulation_steps": 1, + "gradient_checkpointing": false, + "learning_rate": 0.0001, + "scale_lr": false, + "lr_scheduler": "cosine", + "lr_warmup_steps": 500, + "lr_num_cycles": 1, + "optimizer": "AdamW", + "adam_beta1": 0.9, + "adam_beta2": 0.999, + "adam_weight_decay": 0.01, + "adam_epsilon": 1e-08, + "max_grad_norm": 1.0, + "mixed_precision": "bf16", + "allow_tf32": false, + "checkpointing_steps": 2000, + "checkpoints_total_limit": 3, + "resume_from_checkpoint": null, + "validation_steps": 1000, + "validation_prompts_file": null, + "log_every_n_steps": 50, + "weighting_scheme": "logit_normal", + "logit_mean": 0.0, + "logit_std": 1.0, + "mode_scale": 1.29, + "use_sra": true, + "sra_block_student": 6, + "sra_block_teacher": 14, + "sra_t_max": 0.2, + "sra_weighting": "progress", + "sra_decay_start_frac": 0.15, + "sra_decay_span_frac": 0.35, + "sra_lambda": 0.2, + "sra_epoch_decay_start": 99, + "sra_epoch_decay_span": 800, + "sra_loss_type": "sml1", + "sra_ema_decay": 0.9999, + "max_sequence_length": 256, + "dataloader_num_workers": 4, + "pin_memory": false, + "output_dir": "RESULTS/flicker8k/run_014" +} \ No newline at end of file diff --git a/flicker8k/sana 0.6/SRA/training_summary.json b/flicker8k/sana 0.6/SRA/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3249b1fb4246936590e96b8476cacd7500d3d2a2 --- /dev/null +++ b/flicker8k/sana 0.6/SRA/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.9755275249481201, + "avg_last_100": 0.9265858662128449, + "min_loss": 0.7122218608856201, + "total_time": "2:02:33" +} \ No newline at end of file diff --git a/flicker8k/sana 0.6/SRA/transformer/config.json b/flicker8k/sana 0.6/SRA/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b7814ea94be1ebd23ec7b5fd14517ffd32bac574 --- /dev/null +++ b/flicker8k/sana 0.6/SRA/transformer/config.json @@ -0,0 +1,26 @@ +{ + "_class_name": "SanaTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "attention_bias": false, + "attention_head_dim": 32, + "caption_channels": 2304, + "cross_attention_dim": 1152, + "cross_attention_head_dim": 72, + "dropout": 0.0, + "guidance_embeds": false, + "guidance_embeds_scale": 0.1, + "in_channels": 32, + "interpolation_scale": null, + "mlp_ratio": 2.5, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "num_attention_heads": 36, + "num_cross_attention_heads": 16, + "num_layers": 28, + "out_channels": 32, + "patch_size": 1, + "qk_norm": null, + "sample_size": 16, + "timestep_scale": 1.0 +} diff --git a/flicker8k/sana 0.6/SRA/vae/config.json b/flicker8k/sana 0.6/SRA/vae/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b4476560cb25f5e88d6c7524d229bc4d07ca142f --- /dev/null +++ b/flicker8k/sana 0.6/SRA/vae/config.json @@ -0,0 +1,92 @@ +{ + "_class_name": "AutoencoderDC", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "attention_head_dim": 32, + "decoder_act_fns": "silu", + "decoder_block_out_channels": [ + 128, + 256, + 512, + 512, + 1024, + 1024 + ], + "decoder_block_types": [ + "ResBlock", + "ResBlock", + "ResBlock", + "EfficientViTBlock", + "EfficientViTBlock", + "EfficientViTBlock" + ], + "decoder_conv_act_fn": "relu", + "decoder_in_shortcut": true, + "decoder_layers_per_block": [ + 3, + 3, + 3, + 3, + 3, + 3 + ], + "decoder_norm_types": "rms_norm", + "decoder_qkv_multiscales": [ + [], + [], + [], + [ + 5 + ], + [ + 5 + ], + [ + 5 + ] + ], + "downsample_block_type": "Conv", + "encoder_block_out_channels": [ + 128, + 256, + 512, + 512, + 1024, + 1024 + ], + "encoder_block_types": [ + "ResBlock", + "ResBlock", + "ResBlock", + "EfficientViTBlock", + "EfficientViTBlock", + "EfficientViTBlock" + ], + "encoder_layers_per_block": [ + 2, + 2, + 2, + 3, + 3, + 3 + ], + "encoder_out_shortcut": true, + "encoder_qkv_multiscales": [ + [], + [], + [], + [ + 5 + ], + [ + 5 + ], + [ + 5 + ] + ], + "in_channels": 3, + "latent_channels": 32, + "scaling_factor": 0.41407, + "upsample_block_type": "interpolate" +} diff --git a/flicker8k/sana 0.6/SpeeD/checkpoint-10000/transformer/config.json b/flicker8k/sana 0.6/SpeeD/checkpoint-10000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b7814ea94be1ebd23ec7b5fd14517ffd32bac574 --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/checkpoint-10000/transformer/config.json @@ -0,0 +1,26 @@ +{ + "_class_name": "SanaTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "attention_bias": false, + "attention_head_dim": 32, + "caption_channels": 2304, + "cross_attention_dim": 1152, + "cross_attention_head_dim": 72, + "dropout": 0.0, + "guidance_embeds": false, + "guidance_embeds_scale": 0.1, + "in_channels": 32, + "interpolation_scale": null, + "mlp_ratio": 2.5, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "num_attention_heads": 36, + "num_cross_attention_heads": 16, + "num_layers": 28, + "out_channels": 32, + "patch_size": 1, + "qk_norm": null, + "sample_size": 16, + "timestep_scale": 1.0 +} diff --git a/flicker8k/sana 0.6/SpeeD/model_index.json b/flicker8k/sana 0.6/SpeeD/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 0.6/SpeeD/scheduler/scheduler_config.json b/flicker8k/sana 0.6/SpeeD/scheduler/scheduler_config.json new file mode 100644 index 0000000000000000000000000000000000000000..438267411be16a289ebaf6964fbea7c4d11c15f8 --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/scheduler/scheduler_config.json @@ -0,0 +1,40 @@ +{ + "_class_name": "FlowMatchEulerDiscreteScheduler", + "_diffusers_version": "0.37.1", + "algorithm_type": "dpmsolver++", + "base_image_seq_len": 256, + "base_shift": 0.5, + "beta_end": 0.02, + "beta_schedule": "linear", + "beta_start": 0.0001, + "dynamic_thresholding_ratio": 0.995, + "euler_at_final": false, + "final_sigmas_type": "zero", + "flow_shift": 3.0, + "invert_sigmas": false, + "lambda_min_clipped": -Infinity, + "lower_order_final": true, + "max_image_seq_len": 4096, + "max_shift": 1.15, + "num_train_timesteps": 1000, + "prediction_type": "flow_prediction", + "rescale_betas_zero_snr": false, + "sample_max_value": 1.0, + "shift": 1.0, + "shift_terminal": null, + "solver_order": 2, + "solver_type": "midpoint", + "steps_offset": 0, + "stochastic_sampling": false, + "thresholding": false, + "time_shift_type": "exponential", + "timestep_spacing": "linspace", + "trained_betas": null, + "use_beta_sigmas": false, + "use_dynamic_shifting": false, + "use_exponential_sigmas": false, + "use_flow_sigmas": true, + "use_karras_sigmas": false, + "use_lu_lambdas": false, + "variance_type": null +} diff --git a/flicker8k/sana 0.6/SpeeD/text_encoder/config.json b/flicker8k/sana 0.6/SpeeD/text_encoder/config.json new file mode 100644 index 0000000000000000000000000000000000000000..8caf765a38d6b143f27b8326f4fd4b2d3c054613 --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/text_encoder/config.json @@ -0,0 +1,68 @@ +{ + "architectures": [ + "Gemma2Model" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "attn_logit_softcapping": 50.0, + "bos_token_id": 2, + "cache_implementation": "hybrid", + "dtype": "bfloat16", + "eos_token_id": [ + 1, + 107 + ], + "final_logit_softcapping": 30.0, + "head_dim": 256, + "hidden_act": "gelu_pytorch_tanh", + "hidden_activation": "gelu_pytorch_tanh", + "hidden_size": 2304, + "initializer_range": 0.02, + "intermediate_size": 9216, + "layer_types": [ + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention" + ], + "max_position_embeddings": 8192, + "model_type": "gemma2", + "num_attention_heads": 8, + "num_hidden_layers": 26, + "num_key_value_heads": 4, + "pad_token_id": 0, + "query_pre_attn_scalar": 256, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 10000.0, + "rope_type": "default" + }, + "sliding_window": 4096, + "tie_word_embeddings": true, + "transformers_version": "5.9.0", + "use_bidirectional_attention": null, + "use_cache": true, + "vocab_size": 256000 +} diff --git a/flicker8k/sana 0.6/SpeeD/tokenizer/chat_template.jinja b/flicker8k/sana 0.6/SpeeD/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..923ec253c8dbefbb41cf084db7251df41d000f6d --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/tokenizer/chat_template.jinja @@ -0,0 +1,4 @@ +{{ 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 %}{{ '' + role + ' +' + message['content'] | trim + ' +' }}{% endfor %}{% if add_generation_prompt %}{{'model +'}}{% endif %} \ No newline at end of file diff --git a/flicker8k/sana 0.6/SpeeD/tokenizer/tokenizer_config.json b/flicker8k/sana 0.6/SpeeD/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4cda396aa4050a6cb92d7a4c0297031eb80e6d --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/tokenizer/tokenizer_config.json @@ -0,0 +1,20 @@ +{ + "backend": "tokenizers", + "bos_token": "", + "clean_up_tokenization_spaces": false, + "eos_token": "", + "extra_special_tokens": [ + "", + "" + ], + "is_local": false, + "local_files_only": false, + "mask_token": "", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "sp_model_kwargs": {}, + "spaces_between_special_tokens": false, + "tokenizer_class": "GemmaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +} diff --git a/flicker8k/sana 0.6/SpeeD/training.log b/flicker8k/sana 0.6/SpeeD/training.log new file mode 100644 index 0000000000000000000000000000000000000000..96f296f0fccbb740777628749790a84c1ef62234 --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/training.log @@ -0,0 +1,274 @@ +Training started: 2026-08-07 12:18:25 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[12:18:25] Run directory: RESULTS/flicker8k/run_009 +[12:18:25] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[12:18:25] Loading pretrained SANA components ... +[12:18:33] SpeeD-style sampling ENABLED: lam=0.6, tau=700, meaningful band=[113, 887) of 1000 +[12:18:43] Transformer params: 591,747,872 total, 591,747,872 trainable +[12:18:43] Building dataset ... +[12:18:43] Step-based training: 10000 steps (~3 epochs over dataset) +[12:18:44] +[12:18:44] ================================================================ +[12:18:44] Output dir = RESULTS/flicker8k/run_009 +[12:18:44] Num examples = 28315 +[12:18:44] Num epochs = 3 +[12:18:44] Batch/device = 8 +[12:18:44] Grad accum = 1 +[12:18:44] Effective BS = 8 +[12:18:44] Total optim steps = 10000 +[12:18:44] LR = 0.0001 +[12:18:44] Precision = bf16 +[12:18:44] SpeeD = True +[12:18:44] Log every = 50 steps +[12:18:44] Validate every = 1000 steps +[12:18:44] Checkpoint every = 2000 steps +[12:18:44] ================================================================ +[12:18:44] + 50 | 0 | 0.808224 | 0.808224 | 1.00e-05 | 0:00:51 | 2:50:49 + 100 | 0 | 0.722788 | 0.765506 | 2.00e-05 | 0:01:22 | 2:16:38 + 150 | 0 | 0.756616 | 0.762542 | 3.00e-05 | 0:01:54 | 2:05:07 + 200 | 0 | 0.780394 | 0.767005 | 4.00e-05 | 0:02:25 | 1:59:10 + 250 | 0 | 0.678432 | 0.749291 | 5.00e-05 | 0:02:57 | 1:55:25 + 300 | 0 | 0.684747 | 0.738533 | 6.00e-05 | 0:03:29 | 1:52:46 + 350 | 0 | 0.746829 | 0.739718 | 7.00e-05 | 0:04:00 | 1:50:43 + 400 | 0 | 0.854978 | 0.754126 | 8.00e-05 | 0:04:32 | 1:49:03 + 450 | 0 | 0.699116 | 0.748014 | 9.00e-05 | 0:05:04 | 1:47:39 + 500 | 0 | 0.861589 | 0.759371 | 1.00e-04 | 0:05:36 | 1:46:26 + 550 | 0 | 0.822751 | 0.765133 | 1.00e-04 | 0:06:07 | 1:45:20 + 600 | 0 | 0.877246 | 0.774476 | 1.00e-04 | 0:06:39 | 1:44:20 + 650 | 0 | 0.861767 | 0.781190 | 9.99e-05 | 0:07:11 | 1:43:24 + 700 | 0 | 0.697819 | 0.775235 | 9.99e-05 | 0:07:43 | 1:42:32 + 750 | 0 | 0.764015 | 0.774487 | 9.98e-05 | 0:08:14 | 1:41:42 + 800 | 0 | 0.687307 | 0.769039 | 9.98e-05 | 0:08:46 | 1:40:55 + 850 | 0 | 0.855360 | 0.774116 | 9.97e-05 | 0:09:18 | 1:40:12 + 900 | 0 | 0.721951 | 0.771218 | 9.96e-05 | 0:09:50 | 1:39:29 + 950 | 0 | 0.814594 | 0.773501 | 9.94e-05 | 0:10:22 | 1:38:47 + 1000 | 0 | 0.685169 | 0.769085 | 9.93e-05 | 0:10:53 | 1:38:05 +[12:29:19] Generating 16 validation images ... +[12:29:32] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0001000.png + 1050 | 0 | 0.707684 | 0.766161 | 9.92e-05 | 0:11:38 | 1:39:17 + 1100 | 0 | 0.808783 | 0.768098 | 9.90e-05 | 0:12:10 | 1:38:31 + 1150 | 0 | 0.794291 | 0.769237 | 9.88e-05 | 0:12:42 | 1:37:47 + 1200 | 0 | 0.896761 | 0.774550 | 9.87e-05 | 0:13:14 | 1:37:04 + 1250 | 0 | 0.787381 | 0.775064 | 9.85e-05 | 0:13:46 | 1:36:22 + 1300 | 0 | 0.708903 | 0.772519 | 9.83e-05 | 0:14:17 | 1:35:41 + 1350 | 0 | 0.740343 | 0.771327 | 9.80e-05 | 0:14:49 | 1:35:00 + 1400 | 0 | 0.923129 | 0.776749 | 9.78e-05 | 0:15:21 | 1:34:20 + 1450 | 0 | 0.789207 | 0.777178 | 9.76e-05 | 0:15:53 | 1:33:40 + 1500 | 0 | 0.730929 | 0.775637 | 9.73e-05 | 0:16:24 | 1:33:01 + 1550 | 0 | 0.717414 | 0.773759 | 9.70e-05 | 0:16:56 | 1:32:22 + 1600 | 0 | 0.785085 | 0.774113 | 9.67e-05 | 0:17:28 | 1:31:44 + 1650 | 0 | 0.790526 | 0.774610 | 9.64e-05 | 0:18:00 | 1:31:06 + 1700 | 0 | 0.788793 | 0.775027 | 9.61e-05 | 0:18:31 | 1:30:28 + 1750 | 0 | 0.844802 | 0.777021 | 9.58e-05 | 0:19:03 | 1:29:51 + 1800 | 0 | 0.690048 | 0.774605 | 9.55e-05 | 0:19:35 | 1:29:14 + 1850 | 0 | 0.938844 | 0.779044 | 9.51e-05 | 0:20:07 | 1:28:37 + 1900 | 0 | 0.843289 | 0.780734 | 9.47e-05 | 0:20:38 | 1:28:00 + 1950 | 0 | 0.669767 | 0.777889 | 9.44e-05 | 0:21:10 | 1:27:24 + 2000 | 0 | 0.813178 | 0.778771 | 9.40e-05 | 0:21:42 | 1:26:48 +[12:40:12] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-2000 +[12:40:12] Generating 16 validation images ... +[12:40:25] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0002000.png + 2050 | 0 | 0.793905 | 0.779140 | 9.36e-05 | 0:22:31 | 1:27:22 + 2100 | 0 | 0.707697 | 0.777439 | 9.32e-05 | 0:23:03 | 1:26:44 + 2150 | 0 | 0.749928 | 0.776799 | 9.27e-05 | 0:23:35 | 1:26:07 + 2200 | 0 | 0.894624 | 0.779477 | 9.23e-05 | 0:24:06 | 1:25:30 + 2250 | 0 | 0.895517 | 0.782056 | 9.19e-05 | 0:24:38 | 1:24:53 + 2300 | 0 | 0.811453 | 0.782695 | 9.14e-05 | 0:25:10 | 1:24:16 + 2350 | 0 | 0.812381 | 0.783327 | 9.09e-05 | 0:25:42 | 1:23:39 + 2400 | 0 | 0.770971 | 0.783069 | 9.05e-05 | 0:26:13 | 1:23:03 + 2450 | 0 | 0.753664 | 0.782469 | 9.00e-05 | 0:26:45 | 1:22:27 + 2500 | 0 | 0.739154 | 0.781603 | 8.95e-05 | 0:27:17 | 1:21:51 + 2550 | 0 | 0.846645 | 0.782878 | 8.89e-05 | 0:27:48 | 1:21:15 + 2600 | 0 | 0.826400 | 0.783715 | 8.84e-05 | 0:28:20 | 1:20:40 + 2650 | 0 | 0.810974 | 0.784229 | 8.79e-05 | 0:28:52 | 1:20:04 + 2700 | 0 | 0.643818 | 0.781629 | 8.73e-05 | 0:29:24 | 1:19:29 + 2750 | 0 | 0.749486 | 0.781045 | 8.68e-05 | 0:29:55 | 1:18:54 + 2800 | 0 | 0.860920 | 0.782471 | 8.62e-05 | 0:30:27 | 1:18:19 + 2850 | 0 | 0.749331 | 0.781890 | 8.56e-05 | 0:30:59 | 1:17:44 + 2900 | 0 | 0.848796 | 0.783043 | 8.51e-05 | 0:31:30 | 1:17:09 + 2950 | 0 | 0.780514 | 0.783000 | 8.45e-05 | 0:32:02 | 1:16:34 + 3000 | 0 | 0.788997 | 0.783100 | 8.39e-05 | 0:32:34 | 1:16:00 +[12:51:00] Generating 16 validation images ... +[12:51:12] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0003000.png + 3050 | 0 | 0.769973 | 0.782885 | 8.33e-05 | 0:33:18 | 1:15:54 + 3100 | 0 | 0.845306 | 0.783892 | 8.26e-05 | 0:33:50 | 1:15:19 + 3150 | 0 | 0.811288 | 0.784327 | 8.20e-05 | 0:34:22 | 1:14:44 + 3200 | 0 | 0.803350 | 0.784624 | 8.14e-05 | 0:34:53 | 1:14:09 + 3250 | 0 | 0.886719 | 0.786195 | 8.07e-05 | 0:35:25 | 1:13:34 + 3300 | 0 | 0.746581 | 0.785595 | 8.01e-05 | 0:35:57 | 1:12:59 + 3350 | 0 | 0.640409 | 0.783428 | 7.94e-05 | 0:36:28 | 1:12:25 + 3400 | 0 | 0.800720 | 0.783682 | 7.87e-05 | 0:37:00 | 1:11:50 + 3450 | 0 | 0.710925 | 0.782627 | 7.80e-05 | 0:37:32 | 1:11:16 + 3500 | 0 | 0.764170 | 0.782364 | 7.73e-05 | 0:38:04 | 1:10:41 +[12:56:54] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.795949 --- + 3550 | 1 | 0.797755 | 0.782581 | 7.67e-05 | 0:38:35 | 1:10:07 + 3600 | 1 | 0.729716 | 0.781846 | 7.59e-05 | 0:39:07 | 1:09:33 + 3650 | 1 | 0.732702 | 0.781173 | 7.52e-05 | 0:39:39 | 1:08:58 + 3700 | 1 | 0.739614 | 0.780611 | 7.45e-05 | 0:40:10 | 1:08:24 + 3750 | 1 | 0.740284 | 0.780074 | 7.38e-05 | 0:40:42 | 1:07:50 + 3800 | 1 | 0.880866 | 0.781400 | 7.31e-05 | 0:41:14 | 1:07:16 + 3850 | 1 | 0.832344 | 0.782062 | 7.23e-05 | 0:41:45 | 1:06:42 + 3900 | 1 | 0.834182 | 0.782730 | 7.16e-05 | 0:42:17 | 1:06:09 + 3950 | 1 | 0.757136 | 0.782406 | 7.08e-05 | 0:42:49 | 1:05:35 + 4000 | 1 | 0.783808 | 0.782423 | 7.01e-05 | 0:43:21 | 1:05:01 +[13:01:51] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-4000 +[13:01:51] Generating 16 validation images ... +[13:02:03] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0004000.png + 4050 | 1 | 0.659548 | 0.780906 | 6.93e-05 | 0:44:10 | 1:04:53 + 4100 | 1 | 0.931151 | 0.782739 | 6.86e-05 | 0:44:41 | 1:04:19 + 4150 | 1 | 0.830944 | 0.783319 | 6.78e-05 | 0:45:13 | 1:03:45 + 4200 | 1 | 0.898241 | 0.784688 | 6.70e-05 | 0:45:45 | 1:03:11 + 4250 | 1 | 0.805880 | 0.784937 | 6.62e-05 | 0:46:16 | 1:02:37 + 4300 | 1 | 0.787869 | 0.784971 | 6.55e-05 | 0:46:48 | 1:02:03 + 4350 | 1 | 0.770269 | 0.784802 | 6.47e-05 | 0:47:20 | 1:01:29 + 4400 | 1 | 0.716846 | 0.784030 | 6.39e-05 | 0:47:52 | 1:00:55 + 4450 | 1 | 0.741838 | 0.783556 | 6.31e-05 | 0:48:23 | 1:00:21 + 4500 | 1 | 0.806766 | 0.783814 | 6.23e-05 | 0:48:55 | 0:59:47 + 4550 | 1 | 0.731981 | 0.783244 | 6.15e-05 | 0:49:27 | 0:59:14 + 4600 | 1 | 0.752926 | 0.782914 | 6.07e-05 | 0:49:59 | 0:58:40 + 4650 | 1 | 0.775657 | 0.782836 | 5.99e-05 | 0:50:30 | 0:58:06 + 4700 | 1 | 0.896569 | 0.784046 | 5.90e-05 | 0:51:02 | 0:57:33 + 4750 | 1 | 0.890062 | 0.785162 | 5.82e-05 | 0:51:34 | 0:56:59 + 4800 | 1 | 0.871966 | 0.786066 | 5.74e-05 | 0:52:05 | 0:56:26 + 4850 | 1 | 0.762685 | 0.785825 | 5.66e-05 | 0:52:37 | 0:55:52 + 4900 | 1 | 0.766519 | 0.785628 | 5.58e-05 | 0:53:09 | 0:55:19 + 4950 | 1 | 0.808651 | 0.785861 | 5.50e-05 | 0:53:41 | 0:54:46 + 5000 | 1 | 0.767909 | 0.785681 | 5.41e-05 | 0:54:12 | 0:54:12 +[13:12:38] Generating 16 validation images ... +[13:12:50] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0005000.png + 5050 | 1 | 0.805715 | 0.785656 | 5.33e-05 | 0:54:57 | 0:53:51 + 5100 | 1 | 0.771477 | 0.786143 | 5.25e-05 | 0:55:28 | 0:53:18 + 5150 | 1 | 0.711482 | 0.785692 | 5.17e-05 | 0:56:00 | 0:52:44 + 5200 | 1 | 0.842553 | 0.786313 | 5.08e-05 | 0:56:32 | 0:52:11 + 5250 | 1 | 0.703980 | 0.786569 | 5.00e-05 | 0:57:03 | 0:51:37 + 5300 | 1 | 0.711915 | 0.786841 | 4.92e-05 | 0:57:35 | 0:51:04 + 5350 | 1 | 0.672139 | 0.786094 | 4.83e-05 | 0:58:07 | 0:50:31 + 5400 | 1 | 0.843081 | 0.785975 | 4.75e-05 | 0:58:39 | 0:49:57 + 5450 | 1 | 0.729460 | 0.786278 | 4.67e-05 | 0:59:10 | 0:49:24 + 5500 | 1 | 0.778208 | 0.785444 | 4.59e-05 | 0:59:42 | 0:48:51 + 5550 | 1 | 0.720328 | 0.784420 | 4.50e-05 | 1:00:14 | 0:48:17 + 5600 | 1 | 0.730791 | 0.782956 | 4.42e-05 | 1:00:45 | 0:47:44 + 5650 | 1 | 0.948835 | 0.783826 | 4.34e-05 | 1:01:17 | 0:47:11 + 5700 | 1 | 0.753717 | 0.784385 | 4.26e-05 | 1:01:49 | 0:46:38 + 5750 | 1 | 0.841166 | 0.785157 | 4.18e-05 | 1:02:21 | 0:46:05 + 5800 | 1 | 0.708028 | 0.785364 | 4.10e-05 | 1:02:52 | 0:45:32 + 5850 | 1 | 0.889065 | 0.785701 | 4.01e-05 | 1:03:24 | 0:44:58 + 5900 | 1 | 0.720518 | 0.785687 | 3.93e-05 | 1:03:56 | 0:44:25 + 5950 | 1 | 0.880198 | 0.786343 | 3.85e-05 | 1:04:28 | 0:43:52 + 6000 | 1 | 0.789251 | 0.787384 | 3.77e-05 | 1:04:59 | 0:43:19 +[13:23:29] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-6000 +[13:23:29] Generating 16 validation images ... +[13:23:41] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0006000.png + 6050 | 1 | 0.648481 | 0.786792 | 3.69e-05 | 1:05:48 | 0:42:57 + 6100 | 1 | 0.772001 | 0.786424 | 3.61e-05 | 1:06:20 | 0:42:24 + 6150 | 1 | 0.862018 | 0.787101 | 3.53e-05 | 1:06:51 | 0:41:51 + 6200 | 1 | 0.892951 | 0.787063 | 3.45e-05 | 1:07:23 | 0:41:18 + 6250 | 1 | 0.834532 | 0.787534 | 3.38e-05 | 1:07:55 | 0:40:45 + 6300 | 1 | 0.745787 | 0.787903 | 3.30e-05 | 1:08:26 | 0:40:12 + 6350 | 1 | 0.683903 | 0.787339 | 3.22e-05 | 1:08:58 | 0:39:38 + 6400 | 1 | 0.807916 | 0.786187 | 3.14e-05 | 1:09:30 | 0:39:05 + 6450 | 1 | 0.745757 | 0.785752 | 3.07e-05 | 1:10:02 | 0:38:32 + 6500 | 1 | 0.734162 | 0.785785 | 2.99e-05 | 1:10:33 | 0:37:59 + 6550 | 1 | 0.726274 | 0.785873 | 2.92e-05 | 1:11:05 | 0:37:26 + 6600 | 1 | 0.833468 | 0.786357 | 2.84e-05 | 1:11:37 | 0:36:53 + 6650 | 1 | 0.695314 | 0.785405 | 2.77e-05 | 1:12:09 | 0:36:20 + 6700 | 1 | 0.884165 | 0.786359 | 2.69e-05 | 1:12:40 | 0:35:47 + 6750 | 1 | 0.846501 | 0.786376 | 2.62e-05 | 1:13:12 | 0:35:14 + 6800 | 1 | 0.777664 | 0.787252 | 2.55e-05 | 1:13:44 | 0:34:41 + 6850 | 1 | 0.811696 | 0.785980 | 2.48e-05 | 1:14:15 | 0:34:09 + 6900 | 1 | 0.918991 | 0.786737 | 2.41e-05 | 1:14:47 | 0:33:36 + 6950 | 1 | 0.874523 | 0.788785 | 2.33e-05 | 1:15:19 | 0:33:03 + 7000 | 1 | 0.783533 | 0.788488 | 2.27e-05 | 1:15:51 | 0:32:30 +[13:34:16] Generating 16 validation images ... +[13:34:28] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0007000.png + 7050 | 1 | 0.811218 | 0.788662 | 2.20e-05 | 1:16:35 | 0:32:02 +[13:35:19] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.793397 --- + 7100 | 2 | 0.848342 | 0.790068 | 2.13e-05 | 1:17:07 | 0:31:29 + 7150 | 2 | 0.685431 | 0.789423 | 2.06e-05 | 1:17:38 | 0:30:57 + 7200 | 2 | 0.733797 | 0.787815 | 1.99e-05 | 1:18:10 | 0:30:24 + 7250 | 2 | 0.906518 | 0.787925 | 1.93e-05 | 1:18:42 | 0:29:51 + 7300 | 2 | 0.701378 | 0.786824 | 1.86e-05 | 1:19:13 | 0:29:18 + 7350 | 2 | 0.871117 | 0.787411 | 1.80e-05 | 1:19:45 | 0:28:45 + 7400 | 2 | 0.823454 | 0.787936 | 1.74e-05 | 1:20:17 | 0:28:12 + 7450 | 2 | 0.727937 | 0.787679 | 1.67e-05 | 1:20:49 | 0:27:39 + 7500 | 2 | 0.824877 | 0.788536 | 1.61e-05 | 1:21:20 | 0:27:06 + 7550 | 2 | 0.887444 | 0.788944 | 1.55e-05 | 1:21:52 | 0:26:34 + 7600 | 2 | 0.820222 | 0.788882 | 1.49e-05 | 1:22:24 | 0:26:01 + 7650 | 2 | 0.828859 | 0.789061 | 1.44e-05 | 1:22:55 | 0:25:28 + 7700 | 2 | 0.613240 | 0.788755 | 1.38e-05 | 1:23:27 | 0:24:55 + 7750 | 2 | 0.908821 | 0.790349 | 1.32e-05 | 1:23:59 | 0:24:23 + 7800 | 2 | 0.878841 | 0.790528 | 1.27e-05 | 1:24:31 | 0:23:50 + 7850 | 2 | 0.786636 | 0.790901 | 1.21e-05 | 1:25:02 | 0:23:17 + 7900 | 2 | 0.770148 | 0.790115 | 1.16e-05 | 1:25:34 | 0:22:44 + 7950 | 2 | 0.738976 | 0.789699 | 1.11e-05 | 1:26:06 | 0:22:12 + 8000 | 2 | 0.821774 | 0.790027 | 1.05e-05 | 1:26:37 | 0:21:39 +[13:45:07] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-8000 +[13:45:08] Removed old checkpoint: checkpoint-2000 +[13:45:08] Generating 16 validation images ... +[13:45:21] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0008000.png + 8050 | 2 | 0.776670 | 0.790094 | 1.00e-05 | 1:27:27 | 0:21:11 + 8100 | 2 | 0.741148 | 0.789052 | 9.55e-06 | 1:27:59 | 0:20:38 + 8150 | 2 | 0.826965 | 0.789209 | 9.07e-06 | 1:28:30 | 0:20:05 + 8200 | 2 | 0.815554 | 0.789331 | 8.60e-06 | 1:29:02 | 0:19:32 + 8250 | 2 | 0.698122 | 0.787445 | 8.14e-06 | 1:29:34 | 0:19:00 + 8300 | 2 | 0.814337 | 0.788123 | 7.70e-06 | 1:30:06 | 0:18:27 + 8350 | 2 | 0.771755 | 0.789436 | 7.26e-06 | 1:30:38 | 0:17:54 + 8400 | 2 | 0.859087 | 0.790020 | 6.84e-06 | 1:31:10 | 0:17:21 + 8450 | 2 | 0.711788 | 0.790029 | 6.43e-06 | 1:31:41 | 0:16:49 + 8500 | 2 | 0.698048 | 0.789367 | 6.03e-06 | 1:32:13 | 0:16:16 + 8550 | 2 | 0.885770 | 0.790247 | 5.64e-06 | 1:32:45 | 0:15:43 + 8600 | 2 | 0.743869 | 0.790389 | 5.26e-06 | 1:33:16 | 0:15:11 + 8650 | 2 | 0.787206 | 0.790934 | 4.90e-06 | 1:33:48 | 0:14:38 + 8700 | 2 | 0.719189 | 0.790730 | 4.55e-06 | 1:34:20 | 0:14:05 + 8750 | 2 | 0.826070 | 0.791588 | 4.21e-06 | 1:34:52 | 0:13:33 + 8800 | 2 | 0.740093 | 0.790180 | 3.89e-06 | 1:35:23 | 0:13:00 + 8850 | 2 | 0.808563 | 0.789942 | 3.57e-06 | 1:35:55 | 0:12:27 + 8900 | 2 | 0.784933 | 0.789450 | 3.27e-06 | 1:36:27 | 0:11:55 + 8950 | 2 | 0.729809 | 0.789176 | 2.98e-06 | 1:36:59 | 0:11:22 + 9000 | 2 | 0.822337 | 0.789562 | 2.71e-06 | 1:37:30 | 0:10:50 +[13:55:56] Generating 16 validation images ... +[13:56:09] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0009000.png + 9050 | 2 | 0.937617 | 0.792342 | 2.45e-06 | 1:38:16 | 0:10:18 + 9100 | 2 | 0.806977 | 0.791101 | 2.20e-06 | 1:38:47 | 0:09:46 + 9150 | 2 | 0.877086 | 0.791562 | 1.96e-06 | 1:39:19 | 0:09:13 + 9200 | 2 | 0.795855 | 0.790538 | 1.74e-06 | 1:39:51 | 0:08:40 + 9250 | 2 | 0.751378 | 0.789993 | 1.53e-06 | 1:40:22 | 0:08:08 + 9300 | 2 | 0.799372 | 0.790108 | 1.33e-06 | 1:40:54 | 0:07:35 + 9350 | 2 | 0.763395 | 0.790039 | 1.15e-06 | 1:41:26 | 0:07:03 + 9400 | 2 | 0.786353 | 0.790734 | 9.81e-07 | 1:41:58 | 0:06:30 + 9450 | 2 | 0.750118 | 0.790817 | 8.25e-07 | 1:42:29 | 0:05:57 + 9500 | 2 | 0.775580 | 0.790505 | 6.82e-07 | 1:43:01 | 0:05:25 + 9550 | 2 | 0.883804 | 0.792024 | 5.53e-07 | 1:43:33 | 0:04:52 + 9600 | 2 | 0.847598 | 0.792970 | 4.37e-07 | 1:44:05 | 0:04:20 + 9650 | 2 | 0.892467 | 0.794138 | 3.35e-07 | 1:44:36 | 0:03:47 + 9700 | 2 | 0.813230 | 0.793305 | 2.46e-07 | 1:45:08 | 0:03:15 + 9750 | 2 | 0.650583 | 0.790910 | 1.71e-07 | 1:45:40 | 0:02:42 + 9800 | 2 | 0.659621 | 0.788787 | 1.09e-07 | 1:46:11 | 0:02:10 + 9850 | 2 | 0.897569 | 0.790136 | 6.15e-08 | 1:46:43 | 0:01:37 + 9900 | 2 | 0.901148 | 0.791482 | 2.73e-08 | 1:47:15 | 0:01:05 + 9950 | 2 | 0.828837 | 0.791684 | 6.83e-09 | 1:47:47 | 0:00:32 + 10000 | 2 | 0.747014 | 0.791475 | 0.00e+00 | 1:48:18 | 0:00:00 +[14:06:48] Saved checkpoint -> RESULTS/flicker8k/run_009/checkpoint-10000 +[14:06:49] Removed old checkpoint: checkpoint-4000 +[14:06:50] Generating 16 validation images ... +[14:07:02] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0010000.png +[14:07:02] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.794112 --- +[14:07:02] Saving final model ... +[14:07:10] Pipeline saved -> RESULTS/flicker8k/run_009 +[14:07:10] Generating final validation collage ... +[14:07:10] Generating 16 validation images ... +[14:07:22] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_009/validation/collage_step_0010000.png +[14:07:23] +[14:07:23] ============================================================ +[14:07:23] TRAINING SUMMARY +[14:07:23] ============================================================ +[14:07:23] Total steps : 200 +[14:07:23] Final loss : 0.747014 +[14:07:23] Avg last 100 : 0.791475 +[14:07:23] Min loss : 0.613240 +[14:07:23] Total time : 1:48:57 +[14:07:23] Output : RESULTS/flicker8k/run_009 +[14:07:23] ============================================================ diff --git a/flicker8k/sana 0.6/SpeeD/training_args.json b/flicker8k/sana 0.6/SpeeD/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..906c51e3ef3f7348c55d34136141c1acbb0598e3 --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/training_args.json @@ -0,0 +1,50 @@ +{ + "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "revision": null, + "variant": null, + "cache_dir": null, + "data_dir": "../data/flicker8k", + "caption_file_train": "caption_train.json", + "caption_file_val": "caption_val.json", + "images_dir": "images", + "max_captions_per_image": 5, + "results_root": "RESULTS", + "seed": 42, + "resolution": 512, + "train_batch_size": 8, + "max_train_steps": 10000, + "num_train_epochs": 3, + "gradient_accumulation_steps": 1, + "gradient_checkpointing": false, + "learning_rate": 0.0001, + "scale_lr": false, + "lr_scheduler": "cosine", + "lr_warmup_steps": 500, + "lr_num_cycles": 1, + "optimizer": "AdamW", + "adam_beta1": 0.9, + "adam_beta2": 0.999, + "adam_weight_decay": 0.01, + "adam_epsilon": 1e-08, + "max_grad_norm": 1.0, + "mixed_precision": "bf16", + "allow_tf32": false, + "checkpointing_steps": 2000, + "checkpoints_total_limit": 3, + "resume_from_checkpoint": null, + "validation_steps": 1000, + "validation_prompts_file": null, + "log_every_n_steps": 50, + "weighting_scheme": "logit_normal", + "logit_mean": 0.0, + "logit_std": 1.0, + "mode_scale": 1.29, + "speed_faster": true, + "speed_lam": 0.6, + "speed_tau": 700, + "speed_floor": 0.1, + "max_sequence_length": 256, + "dataloader_num_workers": 4, + "pin_memory": false, + "output_dir": "RESULTS/flicker8k/run_009" +} \ No newline at end of file diff --git a/flicker8k/sana 0.6/SpeeD/training_summary.json b/flicker8k/sana 0.6/SpeeD/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f5f63b69506cde2965a324a97ead6897be6622b4 --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.7470138669013977, + "avg_last_100": 0.7914748698472976, + "min_loss": 0.6132396459579468, + "total_time": "1:48:57" +} \ No newline at end of file diff --git a/flicker8k/sana 0.6/SpeeD/transformer/config.json b/flicker8k/sana 0.6/SpeeD/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b7814ea94be1ebd23ec7b5fd14517ffd32bac574 --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/transformer/config.json @@ -0,0 +1,26 @@ +{ + "_class_name": "SanaTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "attention_bias": false, + "attention_head_dim": 32, + "caption_channels": 2304, + "cross_attention_dim": 1152, + "cross_attention_head_dim": 72, + "dropout": 0.0, + "guidance_embeds": false, + "guidance_embeds_scale": 0.1, + "in_channels": 32, + "interpolation_scale": null, + "mlp_ratio": 2.5, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "num_attention_heads": 36, + "num_cross_attention_heads": 16, + "num_layers": 28, + "out_channels": 32, + "patch_size": 1, + "qk_norm": null, + "sample_size": 16, + "timestep_scale": 1.0 +} diff --git a/flicker8k/sana 0.6/SpeeD/vae/config.json b/flicker8k/sana 0.6/SpeeD/vae/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b4476560cb25f5e88d6c7524d229bc4d07ca142f --- /dev/null +++ b/flicker8k/sana 0.6/SpeeD/vae/config.json @@ -0,0 +1,92 @@ +{ + "_class_name": "AutoencoderDC", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "attention_head_dim": 32, + "decoder_act_fns": "silu", + "decoder_block_out_channels": [ + 128, + 256, + 512, + 512, + 1024, + 1024 + ], + "decoder_block_types": [ + "ResBlock", + "ResBlock", + "ResBlock", + "EfficientViTBlock", + "EfficientViTBlock", + "EfficientViTBlock" + ], + "decoder_conv_act_fn": "relu", + "decoder_in_shortcut": true, + "decoder_layers_per_block": [ + 3, + 3, + 3, + 3, + 3, + 3 + ], + "decoder_norm_types": "rms_norm", + "decoder_qkv_multiscales": [ + [], + [], + [], + [ + 5 + ], + [ + 5 + ], + [ + 5 + ] + ], + "downsample_block_type": "Conv", + "encoder_block_out_channels": [ + 128, + 256, + 512, + 512, + 1024, + 1024 + ], + "encoder_block_types": [ + "ResBlock", + "ResBlock", + "ResBlock", + "EfficientViTBlock", + "EfficientViTBlock", + "EfficientViTBlock" + ], + "encoder_layers_per_block": [ + 2, + 2, + 2, + 3, + 3, + 3 + ], + "encoder_out_shortcut": true, + "encoder_qkv_multiscales": [ + [], + [], + [], + [ + 5 + ], + [ + 5 + ], + [ + 5 + ] + ], + "in_channels": 3, + "latent_channels": 32, + "scaling_factor": 0.41407, + "upsample_block_type": "interpolate" +} diff --git a/flicker8k/sana 0.6/TD/checkpoint-10000/transformer/config.json b/flicker8k/sana 0.6/TD/checkpoint-10000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b7814ea94be1ebd23ec7b5fd14517ffd32bac574 --- /dev/null +++ b/flicker8k/sana 0.6/TD/checkpoint-10000/transformer/config.json @@ -0,0 +1,26 @@ +{ + "_class_name": "SanaTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "attention_bias": false, + "attention_head_dim": 32, + "caption_channels": 2304, + "cross_attention_dim": 1152, + "cross_attention_head_dim": 72, + "dropout": 0.0, + "guidance_embeds": false, + "guidance_embeds_scale": 0.1, + "in_channels": 32, + "interpolation_scale": null, + "mlp_ratio": 2.5, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "num_attention_heads": 36, + "num_cross_attention_heads": 16, + "num_layers": 28, + "out_channels": 32, + "patch_size": 1, + "qk_norm": null, + "sample_size": 16, + "timestep_scale": 1.0 +} diff --git a/flicker8k/sana 0.6/TD/model_index.json b/flicker8k/sana 0.6/TD/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 0.6/TD/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 0.6/TD/scheduler/scheduler_config.json b/flicker8k/sana 0.6/TD/scheduler/scheduler_config.json new file mode 100644 index 0000000000000000000000000000000000000000..438267411be16a289ebaf6964fbea7c4d11c15f8 --- /dev/null +++ b/flicker8k/sana 0.6/TD/scheduler/scheduler_config.json @@ -0,0 +1,40 @@ +{ + "_class_name": "FlowMatchEulerDiscreteScheduler", + "_diffusers_version": "0.37.1", + "algorithm_type": "dpmsolver++", + "base_image_seq_len": 256, + "base_shift": 0.5, + "beta_end": 0.02, + "beta_schedule": "linear", + "beta_start": 0.0001, + "dynamic_thresholding_ratio": 0.995, + "euler_at_final": false, + "final_sigmas_type": "zero", + "flow_shift": 3.0, + "invert_sigmas": false, + "lambda_min_clipped": -Infinity, + "lower_order_final": true, + "max_image_seq_len": 4096, + "max_shift": 1.15, + "num_train_timesteps": 1000, + "prediction_type": "flow_prediction", + "rescale_betas_zero_snr": false, + "sample_max_value": 1.0, + "shift": 1.0, + "shift_terminal": null, + "solver_order": 2, + "solver_type": "midpoint", + "steps_offset": 0, + "stochastic_sampling": false, + "thresholding": false, + "time_shift_type": "exponential", + "timestep_spacing": "linspace", + "trained_betas": null, + "use_beta_sigmas": false, + "use_dynamic_shifting": false, + "use_exponential_sigmas": false, + "use_flow_sigmas": true, + "use_karras_sigmas": false, + "use_lu_lambdas": false, + "variance_type": null +} diff --git a/flicker8k/sana 0.6/TD/text_encoder/config.json b/flicker8k/sana 0.6/TD/text_encoder/config.json new file mode 100644 index 0000000000000000000000000000000000000000..8caf765a38d6b143f27b8326f4fd4b2d3c054613 --- /dev/null +++ b/flicker8k/sana 0.6/TD/text_encoder/config.json @@ -0,0 +1,68 @@ +{ + "architectures": [ + "Gemma2Model" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "attn_logit_softcapping": 50.0, + "bos_token_id": 2, + "cache_implementation": "hybrid", + "dtype": "bfloat16", + "eos_token_id": [ + 1, + 107 + ], + "final_logit_softcapping": 30.0, + "head_dim": 256, + "hidden_act": "gelu_pytorch_tanh", + "hidden_activation": "gelu_pytorch_tanh", + "hidden_size": 2304, + "initializer_range": 0.02, + "intermediate_size": 9216, + "layer_types": [ + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention" + ], + "max_position_embeddings": 8192, + "model_type": "gemma2", + "num_attention_heads": 8, + "num_hidden_layers": 26, + "num_key_value_heads": 4, + "pad_token_id": 0, + "query_pre_attn_scalar": 256, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 10000.0, + "rope_type": "default" + }, + "sliding_window": 4096, + "tie_word_embeddings": true, + "transformers_version": "5.9.0", + "use_bidirectional_attention": null, + "use_cache": true, + "vocab_size": 256000 +} diff --git a/flicker8k/sana 0.6/TD/tokenizer/chat_template.jinja b/flicker8k/sana 0.6/TD/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..923ec253c8dbefbb41cf084db7251df41d000f6d --- /dev/null +++ b/flicker8k/sana 0.6/TD/tokenizer/chat_template.jinja @@ -0,0 +1,4 @@ +{{ 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 %}{{ '' + role + ' +' + message['content'] | trim + ' +' }}{% endfor %}{% if add_generation_prompt %}{{'model +'}}{% endif %} \ No newline at end of file diff --git a/flicker8k/sana 0.6/TD/tokenizer/tokenizer_config.json b/flicker8k/sana 0.6/TD/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4cda396aa4050a6cb92d7a4c0297031eb80e6d --- /dev/null +++ b/flicker8k/sana 0.6/TD/tokenizer/tokenizer_config.json @@ -0,0 +1,20 @@ +{ + "backend": "tokenizers", + "bos_token": "", + "clean_up_tokenization_spaces": false, + "eos_token": "", + "extra_special_tokens": [ + "", + "" + ], + "is_local": false, + "local_files_only": false, + "mask_token": "", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "sp_model_kwargs": {}, + "spaces_between_special_tokens": false, + "tokenizer_class": "GemmaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +} diff --git a/flicker8k/sana 0.6/TD/training.log b/flicker8k/sana 0.6/TD/training.log new file mode 100644 index 0000000000000000000000000000000000000000..ec4aff956b9c587458f44d580aae8ea3b1d5fc0b --- /dev/null +++ b/flicker8k/sana 0.6/TD/training.log @@ -0,0 +1,474 @@ +Training started: 2026-08-10 08:41:14 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[08:41:14] Run directory: RESULTS/flicker8k/run_011 +[08:41:14] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[08:41:14] Loading pretrained SANA components ... +[08:41:35] Transformer params: 591,747,872 total, 591,747,872 trainable +[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) +[08:41:35] Building dataset ... +[08:41:35] Step-based training: 10000 steps (~3 epochs over dataset) +[08:41:35] +[08:41:35] ================================================================ +[08:41:35] Output dir = RESULTS/flicker8k/run_011 +[08:41:35] Num examples = 28315 +[08:41:35] Num epochs = 3 +[08:41:35] Batch/device = 8 +[08:41:35] Grad accum = 1 +[08:41:35] Effective BS = 8 +[08:41:35] Total optim steps = 10000 +[08:41:35] LR = 0.0001 +[08:41:35] Precision = bf16 +[08:41:35] TD = True +[08:41:35] Log every = 50 steps +[08:41:35] Validate every = 1000 steps +[08:41:35] Checkpoint every = 2000 steps +[08:41:35] ================================================================ +[08:41:35] + 50 | 0 | 0.967152 | 0.967152 | 1.00e-05 | 0:01:00 | 3:21:51 +[08:42:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000296 + 100 | 0 | 0.917843 | 0.942497 | 2.00e-05 | 0:01:35 | 2:38:16 +[08:42:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000336 + 150 | 0 | 0.933870 | 0.939622 | 3.00e-05 | 0:02:11 | 2:23:37 +[08:43:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000223 + 200 | 0 | 0.921553 | 0.935105 | 4.00e-05 | 0:02:46 | 2:15:59 +[08:44:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000270 + 250 | 0 | 0.889938 | 0.926071 | 5.00e-05 | 0:03:21 | 2:11:12 +[08:44:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000356 + 300 | 0 | 0.892860 | 0.920536 | 6.00e-05 | 0:03:57 | 2:07:51 +[08:45:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000173 + 350 | 0 | 0.962998 | 0.926602 | 7.00e-05 | 0:04:32 | 2:05:17 +[08:45:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000109 + 400 | 0 | 0.847405 | 0.916702 | 8.00e-05 | 0:05:08 | 2:03:13 +[08:46:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000317 + 450 | 0 | 0.908365 | 0.915776 | 9.00e-05 | 0:05:43 | 2:01:29 +[08:46:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000142 + 500 | 0 | 1.009380 | 0.925136 | 1.00e-04 | 0:06:18 | 1:59:59 +[08:47:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000452 + 550 | 0 | 0.992303 | 0.931243 | 1.00e-04 | 0:06:54 | 1:58:38 +[08:48:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000202 + 600 | 0 | 1.049041 | 0.941059 | 1.00e-04 | 0:07:29 | 1:57:26 +[08:48:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000205 + 650 | 0 | 0.972209 | 0.943455 | 9.99e-05 | 0:08:05 | 1:56:19 +[08:49:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000456 + 700 | 0 | 0.971823 | 0.945481 | 9.99e-05 | 0:08:40 | 1:55:16 +[08:49:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000282 + 750 | 0 | 0.907569 | 0.942954 | 9.98e-05 | 0:09:16 | 1:54:17 +[08:50:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000265 + 800 | 0 | 0.878315 | 0.938914 | 9.98e-05 | 0:09:51 | 1:53:21 +[08:51:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000146 + 850 | 0 | 0.952348 | 0.939704 | 9.97e-05 | 0:10:26 | 1:52:28 +[08:51:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000403 + 900 | 0 | 0.868995 | 0.935776 | 9.96e-05 | 0:11:02 | 1:51:36 +[08:52:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000176 + 950 | 0 | 1.006783 | 0.939513 | 9.94e-05 | 0:11:37 | 1:50:46 +[08:52:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000247 + 1000 | 0 | 0.822443 | 0.933660 | 9.93e-05 | 0:12:13 | 1:49:58 +[08:53:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000246 +[08:53:29] Generating 16 validation images ... +[08:53:41] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0001000.png + 1050 | 0 | 0.875759 | 0.930902 | 9.92e-05 | 0:13:03 | 1:51:18 +[08:54:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000191 + 1100 | 0 | 0.818738 | 0.925804 | 9.90e-05 | 0:13:38 | 1:50:25 +[08:54:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000480 + 1150 | 0 | 0.895568 | 0.924489 | 9.88e-05 | 0:14:14 | 1:49:34 +[08:55:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000218 + 1200 | 0 | 0.949862 | 0.925547 | 9.87e-05 | 0:14:49 | 1:48:44 +[08:56:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000682 + 1250 | 0 | 0.996447 | 0.928383 | 9.85e-05 | 0:15:25 | 1:47:55 +[08:56:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000094 + 1300 | 0 | 1.005387 | 0.931344 | 9.83e-05 | 0:16:00 | 1:47:08 +[08:57:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000143 + 1350 | 0 | 0.828913 | 0.927551 | 9.80e-05 | 0:16:35 | 1:46:21 +[08:57:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000313 + 1400 | 0 | 1.019839 | 0.930847 | 9.78e-05 | 0:17:11 | 1:45:35 +[08:58:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000333 + 1450 | 0 | 0.862657 | 0.928495 | 9.76e-05 | 0:17:46 | 1:44:50 +[08:59:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000412 + 1500 | 0 | 0.918949 | 0.928177 | 9.73e-05 | 0:18:22 | 1:44:07 +[08:59:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000244 + 1550 | 0 | 0.996470 | 0.930380 | 9.70e-05 | 0:18:57 | 1:43:23 +[09:00:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000229 + 1600 | 0 | 0.951827 | 0.931050 | 9.67e-05 | 0:19:33 | 1:42:39 +[09:00:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000309 + 1650 | 0 | 0.907081 | 0.930324 | 9.64e-05 | 0:20:08 | 1:41:57 +[09:01:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000286 + 1700 | 0 | 0.996935 | 0.932283 | 9.61e-05 | 0:20:44 | 1:41:14 +[09:01:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000268 + 1750 | 0 | 1.008057 | 0.934448 | 9.58e-05 | 0:21:19 | 1:40:32 +[09:02:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000364 + 1800 | 0 | 0.824889 | 0.931405 | 9.55e-05 | 0:21:55 | 1:39:50 +[09:03:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000341 + 1850 | 0 | 0.964773 | 0.932307 | 9.51e-05 | 0:22:30 | 1:39:09 +[09:03:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000586 + 1900 | 0 | 0.952198 | 0.932830 | 9.47e-05 | 0:23:05 | 1:38:28 +[09:04:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000400 + 1950 | 0 | 1.004582 | 0.934670 | 9.44e-05 | 0:23:41 | 1:37:48 +[09:04:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000276 + 2000 | 0 | 0.881942 | 0.933352 | 9.40e-05 | 0:24:16 | 1:37:07 +[09:05:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000289 +[09:05:36] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-2000 +[09:05:37] Generating 16 validation images ... +[09:05:50] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0002000.png + 2050 | 0 | 0.916521 | 0.932941 | 9.36e-05 | 0:25:12 | 1:37:47 +[09:06:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000185 + 2100 | 0 | 0.763180 | 0.928899 | 9.32e-05 | 0:25:48 | 1:37:04 +[09:07:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000308 + 2150 | 0 | 0.909857 | 0.928456 | 9.27e-05 | 0:26:23 | 1:36:22 +[09:07:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000125 + 2200 | 0 | 0.881470 | 0.927388 | 9.23e-05 | 0:26:59 | 1:35:40 +[09:08:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000351 + 2250 | 0 | 0.879524 | 0.926325 | 9.19e-05 | 0:27:34 | 1:34:59 +[09:08:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000380 + 2300 | 0 | 0.918020 | 0.926144 | 9.14e-05 | 0:28:10 | 1:34:18 +[09:09:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000472 + 2350 | 0 | 0.918884 | 0.925990 | 9.09e-05 | 0:28:45 | 1:33:37 +[09:10:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000457 + 2400 | 0 | 0.902791 | 0.925506 | 9.05e-05 | 0:29:21 | 1:32:57 +[09:10:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000207 + 2450 | 0 | 0.903066 | 0.925049 | 9.00e-05 | 0:29:56 | 1:32:17 +[09:11:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000201 + 2500 | 0 | 0.981439 | 0.926176 | 8.95e-05 | 0:30:32 | 1:31:37 +[09:11:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000150 + 2550 | 0 | 0.997101 | 0.927567 | 8.89e-05 | 0:31:07 | 1:30:57 +[09:12:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000410 + 2600 | 0 | 0.862906 | 0.926324 | 8.84e-05 | 0:31:43 | 1:30:17 +[09:12:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000320 + 2650 | 0 | 0.849630 | 0.924876 | 8.79e-05 | 0:32:18 | 1:29:37 +[09:13:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000278 + 2700 | 0 | 0.921924 | 0.924822 | 8.73e-05 | 0:32:54 | 1:28:58 +[09:14:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000321 + 2750 | 0 | 0.855519 | 0.923562 | 8.68e-05 | 0:33:29 | 1:28:18 +[09:14:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000262 + 2800 | 0 | 0.907634 | 0.923277 | 8.62e-05 | 0:34:05 | 1:27:39 +[09:15:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000631 + 2850 | 0 | 0.979973 | 0.924272 | 8.56e-05 | 0:34:40 | 1:27:00 +[09:15:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000193 + 2900 | 0 | 1.011881 | 0.925782 | 8.51e-05 | 0:35:16 | 1:26:21 +[09:16:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000240 + 2950 | 0 | 0.934300 | 0.925927 | 8.45e-05 | 0:35:51 | 1:25:42 +[09:17:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000470 + 3000 | 0 | 0.827690 | 0.924290 | 8.39e-05 | 0:36:27 | 1:25:04 +[09:17:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000283 +[09:17:43] Generating 16 validation images ... +[09:17:55] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0003000.png + 3050 | 0 | 0.906679 | 0.924001 | 8.33e-05 | 0:37:17 | 1:24:58 +[09:18:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000226 + 3100 | 0 | 0.947590 | 0.924381 | 8.26e-05 | 0:37:53 | 1:24:19 +[09:19:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000397 + 3150 | 0 | 1.056004 | 0.926471 | 8.20e-05 | 0:38:28 | 1:23:40 +[09:19:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000253 + 3200 | 0 | 0.935261 | 0.926608 | 8.14e-05 | 0:39:04 | 1:23:01 +[09:20:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000201 + 3250 | 0 | 0.876999 | 0.925845 | 8.07e-05 | 0:39:39 | 1:22:22 +[09:20:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000764 + 3300 | 0 | 1.015228 | 0.927199 | 8.01e-05 | 0:40:15 | 1:21:43 +[09:21:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000146 + 3350 | 0 | 0.880358 | 0.926500 | 7.94e-05 | 0:40:50 | 1:21:04 +[09:22:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000116 + 3400 | 0 | 0.940375 | 0.926704 | 7.87e-05 | 0:41:25 | 1:20:25 +[09:22:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000304 + 3450 | 0 | 0.907092 | 0.926420 | 7.80e-05 | 0:42:01 | 1:19:46 +[09:23:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000278 + 3500 | 0 | 0.940682 | 0.926623 | 7.73e-05 | 0:42:36 | 1:19:08 +[09:23:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000294 +[09:24:19] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.921182 --- + 3550 | 1 | 0.905686 | 0.926329 | 7.67e-05 | 0:43:11 | 1:18:29 +[09:24:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000655 + 3600 | 1 | 0.943770 | 0.926571 | 7.59e-05 | 0:43:47 | 1:17:50 +[09:25:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000177 + 3650 | 1 | 0.920596 | 0.926489 | 7.52e-05 | 0:44:22 | 1:17:12 +[09:25:37] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000308 + 3700 | 1 | 1.035243 | 0.927959 | 7.45e-05 | 0:44:58 | 1:16:34 +[09:26:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000447 + 3750 | 1 | 1.051252 | 0.929602 | 7.38e-05 | 0:45:33 | 1:15:56 +[09:26:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000367 + 3800 | 1 | 0.873628 | 0.928866 | 7.31e-05 | 0:46:09 | 1:15:18 +[09:27:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000350 + 3850 | 1 | 0.912962 | 0.928659 | 7.23e-05 | 0:46:44 | 1:14:40 +[09:27:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000471 + 3900 | 1 | 0.789575 | 0.926876 | 7.16e-05 | 0:47:20 | 1:14:02 +[09:28:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000392 + 3950 | 1 | 0.880957 | 0.926295 | 7.08e-05 | 0:47:55 | 1:13:24 +[09:29:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000248 + 4000 | 1 | 0.878598 | 0.925699 | 7.01e-05 | 0:48:31 | 1:12:47 +[09:29:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000211 +[09:29:50] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-4000 +[09:29:50] Generating 16 validation images ... +[09:30:03] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0004000.png + 4050 | 1 | 0.940925 | 0.925887 | 6.93e-05 | 0:49:24 | 1:12:35 +[09:30:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000199 + 4100 | 1 | 0.923037 | 0.925852 | 6.86e-05 | 0:50:00 | 1:11:57 +[09:31:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000368 + 4150 | 1 | 0.920698 | 0.925790 | 6.78e-05 | 0:50:35 | 1:11:19 +[09:31:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000527 + 4200 | 1 | 0.870714 | 0.925134 | 6.70e-05 | 0:51:11 | 1:10:41 +[09:32:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000339 + 4250 | 1 | 0.870956 | 0.924497 | 6.62e-05 | 0:51:46 | 1:10:03 +[09:33:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000692 + 4300 | 1 | 0.859629 | 0.923743 | 6.55e-05 | 0:52:22 | 1:09:25 +[09:33:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000306 + 4350 | 1 | 0.980817 | 0.924399 | 6.47e-05 | 0:52:57 | 1:08:47 +[09:34:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000504 + 4400 | 1 | 0.892729 | 0.924039 | 6.39e-05 | 0:53:33 | 1:08:09 +[09:34:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000161 + 4450 | 1 | 0.897532 | 0.923741 | 6.31e-05 | 0:54:08 | 1:07:31 +[09:35:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000250 + 4500 | 1 | 0.925727 | 0.923763 | 6.23e-05 | 0:54:43 | 1:06:53 +[09:35:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000220 + 4550 | 1 | 0.942178 | 0.923965 | 6.15e-05 | 0:55:19 | 1:06:15 +[09:36:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000166 + 4600 | 1 | 0.883484 | 0.923525 | 6.07e-05 | 0:55:54 | 1:05:38 +[09:37:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000290 + 4650 | 1 | 0.957661 | 0.923892 | 5.99e-05 | 0:56:30 | 1:05:00 +[09:37:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000437 + 4700 | 1 | 0.954537 | 0.924218 | 5.90e-05 | 0:57:05 | 1:04:22 +[09:38:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000381 + 4750 | 1 | 0.835400 | 0.923283 | 5.82e-05 | 0:57:40 | 1:03:45 +[09:38:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000282 + 4800 | 1 | 0.935454 | 0.923410 | 5.74e-05 | 0:58:16 | 1:03:07 +[09:39:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000298 + 4850 | 1 | 0.983406 | 0.924029 | 5.66e-05 | 0:58:51 | 1:02:30 +[09:40:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000437 + 4900 | 1 | 0.943836 | 0.924231 | 5.58e-05 | 0:59:27 | 1:01:52 +[09:40:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000253 + 4950 | 1 | 0.912344 | 0.924111 | 5.50e-05 | 1:00:02 | 1:01:15 +[09:41:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000249 + 5000 | 1 | 0.922265 | 0.924092 | 5.41e-05 | 1:00:38 | 1:00:38 +[09:41:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000253 +[09:41:52] Generating 16 validation images ... +[09:42:05] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0005000.png + 5050 | 1 | 0.816599 | 0.922587 | 5.33e-05 | 1:01:27 | 1:00:14 +[09:42:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000335 + 5100 | 1 | 0.966739 | 0.923076 | 5.25e-05 | 1:02:02 | 0:59:36 +[09:43:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000462 + 5150 | 1 | 1.021034 | 0.923947 | 5.17e-05 | 1:02:38 | 0:58:59 +[09:43:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000196 + 5200 | 1 | 0.987751 | 0.924609 | 5.08e-05 | 1:03:13 | 0:58:21 +[09:44:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000485 + 5250 | 1 | 0.904886 | 0.924759 | 5.00e-05 | 1:03:49 | 0:57:44 +[09:45:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000319 + 5300 | 1 | 0.817024 | 0.924001 | 4.92e-05 | 1:04:24 | 0:57:07 +[09:45:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000375 + 5350 | 1 | 0.946932 | 0.923840 | 4.83e-05 | 1:05:00 | 0:56:29 +[09:46:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000386 + 5400 | 1 | 1.027428 | 0.925640 | 4.75e-05 | 1:05:35 | 0:55:52 +[09:46:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000323 + 5450 | 1 | 0.679011 | 0.923347 | 4.67e-05 | 1:06:11 | 0:55:15 +[09:47:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000240 + 5500 | 1 | 0.957163 | 0.922824 | 4.59e-05 | 1:06:46 | 0:54:38 +[09:48:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000192 + 5550 | 1 | 0.802740 | 0.920929 | 4.50e-05 | 1:07:22 | 0:54:01 +[09:48:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000149 + 5600 | 1 | 0.777851 | 0.918217 | 4.42e-05 | 1:07:57 | 0:53:23 +[09:49:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000125 + 5650 | 1 | 0.906657 | 0.917561 | 4.34e-05 | 1:08:33 | 0:52:46 +[09:49:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000549 + 5700 | 1 | 0.903060 | 0.916874 | 4.26e-05 | 1:09:08 | 0:52:09 +[09:50:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000128 + 5750 | 1 | 0.846186 | 0.916260 | 4.18e-05 | 1:09:43 | 0:51:32 +[09:50:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000335 + 5800 | 1 | 0.948653 | 0.916963 | 4.10e-05 | 1:10:19 | 0:50:55 +[09:51:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000382 + 5850 | 1 | 0.928381 | 0.916724 | 4.01e-05 | 1:10:54 | 0:50:18 +[09:52:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000269 + 5900 | 1 | 0.971012 | 0.917744 | 3.93e-05 | 1:11:30 | 0:49:41 +[09:52:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000174 + 5950 | 1 | 0.986280 | 0.917539 | 3.85e-05 | 1:12:05 | 0:49:04 +[09:53:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000205 + 6000 | 1 | 0.976090 | 0.919075 | 3.77e-05 | 1:12:41 | 0:48:27 +[09:53:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000714 +[09:54:00] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-6000 +[09:54:01] Generating 16 validation images ... +[09:54:13] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0006000.png + 6050 | 1 | 0.961488 | 0.919932 | 3.69e-05 | 1:13:36 | 0:48:03 +[09:54:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000301 + 6100 | 1 | 0.929430 | 0.921039 | 3.61e-05 | 1:14:11 | 0:47:26 +[09:55:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000310 + 6150 | 1 | 0.888852 | 0.920972 | 3.53e-05 | 1:14:47 | 0:46:49 +[09:56:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000391 + 6200 | 1 | 0.819141 | 0.919665 | 3.45e-05 | 1:15:22 | 0:46:11 +[09:56:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000239 + 6250 | 1 | 0.814674 | 0.917847 | 3.38e-05 | 1:15:58 | 0:45:34 +[09:57:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000283 + 6300 | 1 | 0.929048 | 0.917084 | 3.30e-05 | 1:16:33 | 0:44:57 +[09:57:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000352 + 6350 | 1 | 0.807068 | 0.916865 | 3.22e-05 | 1:17:09 | 0:44:20 +[09:58:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000227 + 6400 | 1 | 0.838760 | 0.915055 | 3.14e-05 | 1:17:44 | 0:43:43 +[09:58:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000225 + 6450 | 1 | 0.971824 | 0.916146 | 3.07e-05 | 1:18:19 | 0:43:06 +[09:59:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000543 + 6500 | 1 | 0.924806 | 0.916205 | 2.99e-05 | 1:18:55 | 0:42:29 +[10:00:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000299 + 6550 | 1 | 0.938276 | 0.915623 | 2.92e-05 | 1:19:30 | 0:41:52 +[10:00:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000440 + 6600 | 1 | 0.928012 | 0.915385 | 2.84e-05 | 1:20:06 | 0:41:15 +[10:01:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000198 + 6650 | 1 | 0.900807 | 0.915322 | 2.77e-05 | 1:20:41 | 0:40:39 +[10:01:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000221 + 6700 | 1 | 0.966969 | 0.915022 | 2.69e-05 | 1:21:17 | 0:40:02 +[10:02:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000566 + 6750 | 1 | 0.939978 | 0.914342 | 2.62e-05 | 1:21:52 | 0:39:25 +[10:03:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000390 + 6800 | 1 | 0.945456 | 0.915547 | 2.55e-05 | 1:22:27 | 0:38:48 +[10:03:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000519 + 6850 | 1 | 0.857585 | 0.914475 | 2.48e-05 | 1:23:03 | 0:38:11 +[10:04:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000168 + 6900 | 1 | 0.822427 | 0.913178 | 2.41e-05 | 1:23:38 | 0:37:34 +[10:04:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000336 + 6950 | 1 | 0.910345 | 0.912235 | 2.33e-05 | 1:24:14 | 0:36:58 +[10:05:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000285 + 7000 | 1 | 0.942383 | 0.912840 | 2.27e-05 | 1:24:49 | 0:36:21 +[10:06:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000320 +[10:06:05] Generating 16 validation images ... +[10:06:17] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0007000.png + 7050 | 1 | 0.952472 | 0.913199 | 2.20e-05 | 1:25:39 | 0:35:50 +[10:06:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000212 +[10:07:15] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.916434 --- + 7100 | 2 | 0.912473 | 0.914692 | 2.13e-05 | 1:26:15 | 0:35:13 +[10:07:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000288 + 7150 | 2 | 0.843786 | 0.914032 | 2.06e-05 | 1:26:50 | 0:34:36 +[10:08:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000462 + 7200 | 2 | 0.942828 | 0.914645 | 1.99e-05 | 1:27:25 | 0:34:00 +[10:08:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000315 + 7250 | 2 | 0.899479 | 0.914845 | 1.93e-05 | 1:28:01 | 0:33:23 +[10:09:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000553 + 7300 | 2 | 0.932493 | 0.914989 | 1.86e-05 | 1:28:36 | 0:32:46 +[10:09:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000183 + 7350 | 2 | 0.958752 | 0.915388 | 1.80e-05 | 1:29:12 | 0:32:09 +[10:10:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000466 + 7400 | 2 | 0.858507 | 0.914945 | 1.74e-05 | 1:29:47 | 0:31:32 +[10:11:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000300 + 7450 | 2 | 0.872857 | 0.914643 | 1.67e-05 | 1:30:22 | 0:30:56 +[10:11:37] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000160 + 7500 | 2 | 0.884414 | 0.913673 | 1.61e-05 | 1:30:58 | 0:30:19 +[10:12:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000298 + 7550 | 2 | 1.010867 | 0.913811 | 1.55e-05 | 1:31:33 | 0:29:42 +[10:12:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000351 + 7600 | 2 | 0.921651 | 0.914398 | 1.49e-05 | 1:32:09 | 0:29:06 +[10:13:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000310 + 7650 | 2 | 1.026222 | 0.916164 | 1.44e-05 | 1:32:44 | 0:28:29 +[10:13:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000713 + 7700 | 2 | 0.897813 | 0.915923 | 1.38e-05 | 1:33:19 | 0:27:52 +[10:14:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000111 + 7750 | 2 | 0.831864 | 0.915686 | 1.32e-05 | 1:33:55 | 0:27:16 +[10:15:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000786 + 7800 | 2 | 0.929730 | 0.915907 | 1.27e-05 | 1:34:30 | 0:26:39 +[10:15:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000693 + 7850 | 2 | 0.858752 | 0.914695 | 1.21e-05 | 1:35:06 | 0:26:02 +[10:16:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000316 + 7900 | 2 | 0.964100 | 0.914217 | 1.16e-05 | 1:35:41 | 0:25:26 +[10:16:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000307 + 7950 | 2 | 0.889128 | 0.913765 | 1.11e-05 | 1:36:16 | 0:24:49 +[10:17:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000256 + 8000 | 2 | 0.969016 | 0.915179 | 1.05e-05 | 1:36:52 | 0:24:13 +[10:18:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000290 +[10:18:10] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-8000 +[10:18:12] Removed old checkpoint: checkpoint-2000 +[10:18:12] Generating 16 validation images ... +[10:18:24] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0008000.png + 8050 | 2 | 0.954403 | 0.915656 | 1.00e-05 | 1:37:46 | 0:23:41 +[10:19:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000365 + 8100 | 2 | 0.959008 | 0.915770 | 9.55e-06 | 1:38:21 | 0:23:04 +[10:19:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000365 + 8150 | 2 | 0.942132 | 0.914631 | 9.07e-06 | 1:38:57 | 0:22:27 +[10:20:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000352 + 8200 | 2 | 0.808207 | 0.913361 | 8.60e-06 | 1:39:32 | 0:21:51 +[10:20:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000479 + 8250 | 2 | 0.869133 | 0.913282 | 8.14e-06 | 1:40:07 | 0:21:14 +[10:21:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000252 + 8300 | 2 | 0.838596 | 0.911516 | 7.70e-06 | 1:40:43 | 0:20:37 +[10:21:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000379 + 8350 | 2 | 0.912781 | 0.911840 | 7.26e-06 | 1:41:18 | 0:20:01 +[10:22:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000473 + 8400 | 2 | 0.944994 | 0.911886 | 6.84e-06 | 1:41:54 | 0:19:24 +[10:23:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000446 + 8450 | 2 | 0.785430 | 0.910670 | 6.43e-06 | 1:42:29 | 0:18:48 +[10:23:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000386 + 8500 | 2 | 0.852230 | 0.909785 | 6.03e-06 | 1:43:05 | 0:18:11 +[10:24:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000185 + 8550 | 2 | 0.991417 | 0.910643 | 5.64e-06 | 1:43:40 | 0:17:34 +[10:24:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000276 + 8600 | 2 | 0.928736 | 0.910492 | 5.26e-06 | 1:44:16 | 0:16:58 +[10:25:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000349 + 8650 | 2 | 0.813290 | 0.909419 | 4.90e-06 | 1:44:51 | 0:16:21 +[10:26:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000423 + 8700 | 2 | 0.948336 | 0.908550 | 4.55e-06 | 1:45:27 | 0:15:45 +[10:26:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000689 + 8750 | 2 | 0.955209 | 0.907590 | 4.21e-06 | 1:46:02 | 0:15:08 +[10:27:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000331 + 8800 | 2 | 0.886302 | 0.907716 | 3.89e-06 | 1:46:37 | 0:14:32 +[10:27:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000270 + 8850 | 2 | 0.910169 | 0.907688 | 3.57e-06 | 1:47:13 | 0:13:55 +[10:28:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000237 + 8900 | 2 | 0.974994 | 0.909543 | 3.27e-06 | 1:47:48 | 0:13:19 +[10:29:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000327 + 8950 | 2 | 0.829192 | 0.909025 | 2.98e-06 | 1:48:24 | 0:12:43 +[10:29:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000231 + 9000 | 2 | 0.877251 | 0.909011 | 2.71e-06 | 1:48:59 | 0:12:06 +[10:30:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000241 +[10:30:14] Generating 16 validation images ... +[10:30:27] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0009000.png + 9050 | 2 | 0.903844 | 0.908641 | 2.45e-06 | 1:49:49 | 0:11:31 +[10:31:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000667 + 9100 | 2 | 0.892726 | 0.908338 | 2.20e-06 | 1:50:24 | 0:10:55 +[10:31:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000378 + 9150 | 2 | 0.900345 | 0.908134 | 1.96e-06 | 1:51:00 | 0:10:18 +[10:32:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000351 + 9200 | 2 | 0.876340 | 0.908190 | 1.74e-06 | 1:51:35 | 0:09:42 +[10:32:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000453 + 9250 | 2 | 0.848895 | 0.907970 | 1.53e-06 | 1:52:10 | 0:09:05 +[10:33:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000450 + 9300 | 2 | 0.914008 | 0.908513 | 1.33e-06 | 1:52:46 | 0:08:29 +[10:34:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000393 + 9350 | 2 | 0.951156 | 0.908217 | 1.15e-06 | 1:53:21 | 0:07:52 +[10:34:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000415 + 9400 | 2 | 0.922466 | 0.908514 | 9.81e-07 | 1:53:57 | 0:07:16 +[10:35:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000393 + 9450 | 2 | 0.794343 | 0.907482 | 8.25e-07 | 1:54:32 | 0:06:39 +[10:35:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000380 + 9500 | 2 | 0.865648 | 0.906882 | 6.82e-07 | 1:55:08 | 0:06:03 +[10:36:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000243 + 9550 | 2 | 0.909608 | 0.906556 | 5.53e-07 | 1:55:43 | 0:05:27 +[10:36:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000623 + 9600 | 2 | 0.890971 | 0.906631 | 4.37e-07 | 1:56:18 | 0:04:50 +[10:37:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000505 + 9650 | 2 | 1.024510 | 0.907299 | 3.35e-07 | 1:56:54 | 0:04:14 +[10:38:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000325 + 9700 | 2 | 0.988170 | 0.907636 | 2.46e-07 | 1:57:29 | 0:03:38 +[10:38:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000375 + 9750 | 2 | 0.850857 | 0.907790 | 1.71e-07 | 1:58:05 | 0:03:01 +[10:39:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000383 + 9800 | 2 | 0.893505 | 0.907371 | 1.09e-07 | 1:58:40 | 0:02:25 +[10:39:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000243 + 9850 | 2 | 0.920125 | 0.906738 | 6.15e-08 | 1:59:16 | 0:01:48 +[10:40:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000494 + 9900 | 2 | 0.990858 | 0.907208 | 2.73e-08 | 1:59:51 | 0:01:12 +[10:41:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000372 + 9950 | 2 | 0.907000 | 0.907155 | 6.83e-09 | 2:00:26 | 0:00:36 +[10:41:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000484 + 10000 | 2 | 0.946342 | 0.907395 | 0.00e+00 | 2:01:02 | 0:00:00 +[10:42:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000258 +[10:42:21] Saved checkpoint -> RESULTS/flicker8k/run_011/checkpoint-10000 +[10:42:22] Removed old checkpoint: checkpoint-4000 +[10:42:22] Generating 16 validation images ... +[10:42:34] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0010000.png +[10:42:35] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.917228 --- +[10:42:35] Saving final model ... +[10:42:43] Pipeline saved -> RESULTS/flicker8k/run_011 +[10:42:43] Generating final validation collage ... +[10:42:43] Generating 16 validation images ... +[10:42:55] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_011/validation/collage_step_0010000.png +[10:42:56] +[10:42:56] ============================================================ +[10:42:56] TRAINING SUMMARY +[10:42:56] ============================================================ +[10:42:56] Total steps : 200 +[10:42:56] Final loss : 0.946342 +[10:42:56] Avg last 100 : 0.907395 +[10:42:56] Min loss : 0.679011 +[10:42:56] Total time : 2:01:41 +[10:42:56] Output : RESULTS/flicker8k/run_011 +[10:42:56] ============================================================ diff --git a/flicker8k/sana 0.6/TD/training_args.json b/flicker8k/sana 0.6/TD/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..6a852dd45321852cc27e98cfc498f5d74e8b621a --- /dev/null +++ b/flicker8k/sana 0.6/TD/training_args.json @@ -0,0 +1,58 @@ +{ + "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "revision": null, + "variant": null, + "cache_dir": null, + "data_dir": "../data/flicker8k", + "caption_file_train": "caption_train.json", + "caption_file_val": "caption_val.json", + "images_dir": "images", + "max_captions_per_image": 5, + "results_root": "RESULTS", + "seed": 42, + "resolution": 512, + "train_batch_size": 8, + "max_train_steps": 10000, + "num_train_epochs": 3, + "gradient_accumulation_steps": 1, + "gradient_checkpointing": false, + "learning_rate": 0.0001, + "scale_lr": false, + "lr_scheduler": "cosine", + "lr_warmup_steps": 500, + "lr_num_cycles": 1, + "optimizer": "AdamW", + "adam_beta1": 0.9, + "adam_beta2": 0.999, + "adam_weight_decay": 0.01, + "adam_epsilon": 1e-08, + "max_grad_norm": 1.0, + "mixed_precision": "bf16", + "allow_tf32": false, + "checkpointing_steps": 2000, + "checkpoints_total_limit": 3, + "resume_from_checkpoint": null, + "validation_steps": 1000, + "validation_prompts_file": null, + "log_every_n_steps": 50, + "weighting_scheme": "logit_normal", + "logit_mean": 0.0, + "logit_std": 1.0, + "mode_scale": 1.29, + "td_enable": true, + "td_k_idx": 1.0, + "td_one_idx": null, + "td_lambda": 1.0, + "td_weight": false, + "td_sigma_min": 0.001, + "td_sigma_max": 1.0, + "td_rho": 7.0, + "td_steps": 18, + "td_sigma_data": 1.0, + "td_ema_tau": 0.999, + "td_target_update_freq": 1, + "max_sequence_length": 256, + "dataloader_num_workers": 4, + "pin_memory": false, + "output_dir": "RESULTS/flicker8k/run_011" +} \ No newline at end of file diff --git a/flicker8k/sana 0.6/TD/training_summary.json b/flicker8k/sana 0.6/TD/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dcf2b41f45fd559ec5239b16fd4bad1b0773251c --- /dev/null +++ b/flicker8k/sana 0.6/TD/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.9463420510292053, + "avg_last_100": 0.9073954010009766, + "min_loss": 0.6790111064910889, + "total_time": "2:01:41" +} \ No newline at end of file diff --git a/flicker8k/sana 0.6/TD/transformer/config.json b/flicker8k/sana 0.6/TD/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b7814ea94be1ebd23ec7b5fd14517ffd32bac574 --- /dev/null +++ b/flicker8k/sana 0.6/TD/transformer/config.json @@ -0,0 +1,26 @@ +{ + "_class_name": "SanaTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "attention_bias": false, + "attention_head_dim": 32, + "caption_channels": 2304, + "cross_attention_dim": 1152, + "cross_attention_head_dim": 72, + "dropout": 0.0, + "guidance_embeds": false, + "guidance_embeds_scale": 0.1, + "in_channels": 32, + "interpolation_scale": null, + "mlp_ratio": 2.5, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "num_attention_heads": 36, + "num_cross_attention_heads": 16, + "num_layers": 28, + "out_channels": 32, + "patch_size": 1, + "qk_norm": null, + "sample_size": 16, + "timestep_scale": 1.0 +} diff --git a/flicker8k/sana 0.6/TD/vae/config.json b/flicker8k/sana 0.6/TD/vae/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b4476560cb25f5e88d6c7524d229bc4d07ca142f --- /dev/null +++ b/flicker8k/sana 0.6/TD/vae/config.json @@ -0,0 +1,92 @@ +{ + "_class_name": "AutoencoderDC", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers", + "attention_head_dim": 32, + "decoder_act_fns": "silu", + "decoder_block_out_channels": [ + 128, + 256, + 512, + 512, + 1024, + 1024 + ], + "decoder_block_types": [ + "ResBlock", + "ResBlock", + "ResBlock", + "EfficientViTBlock", + "EfficientViTBlock", + "EfficientViTBlock" + ], + "decoder_conv_act_fn": "relu", + "decoder_in_shortcut": true, + "decoder_layers_per_block": [ + 3, + 3, + 3, + 3, + 3, + 3 + ], + "decoder_norm_types": "rms_norm", + "decoder_qkv_multiscales": [ + [], + [], + [], + [ + 5 + ], + [ + 5 + ], + [ + 5 + ] + ], + "downsample_block_type": "Conv", + "encoder_block_out_channels": [ + 128, + 256, + 512, + 512, + 1024, + 1024 + ], + "encoder_block_types": [ + "ResBlock", + "ResBlock", + "ResBlock", + "EfficientViTBlock", + "EfficientViTBlock", + "EfficientViTBlock" + ], + "encoder_layers_per_block": [ + 2, + 2, + 2, + 3, + 3, + 3 + ], + "encoder_out_shortcut": true, + "encoder_qkv_multiscales": [ + [], + [], + [], + [ + 5 + ], + [ + 5 + ], + [ + 5 + ] + ], + "in_channels": 3, + "latent_channels": 32, + "scaling_factor": 0.41407, + "upsample_block_type": "interpolate" +} diff --git a/flicker8k/sana 1.6/Baseline/model_index.json b/flicker8k/sana 1.6/Baseline/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 1.6/Baseline/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 1.6/Baseline/training.log b/flicker8k/sana 1.6/Baseline/training.log new file mode 100644 index 0000000000000000000000000000000000000000..4d2f6b30df50952ebe99ef077939f170ebb6ab23 --- /dev/null +++ b/flicker8k/sana 1.6/Baseline/training.log @@ -0,0 +1,272 @@ +Training started: 2026-07-29 17:31:19 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[17:31:19] Run directory: RESULTS/flicker8k/run_004 +[17:31:19] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[17:31:19] Loading pretrained SANA components ... +[17:31:33] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[17:31:33] Building dataset ... +[17:31:33] Step-based training: 10000 steps (~3 epochs over dataset) +[17:31:34] +[17:31:34] ================================================================ +[17:31:34] Output dir = RESULTS/flicker8k/run_004 +[17:31:34] Num examples = 28315 +[17:31:34] Num epochs = 3 +[17:31:34] Batch/device = 8 +[17:31:34] Grad accum = 1 +[17:31:34] Effective BS = 8 +[17:31:34] Total optim steps = 10000 +[17:31:34] LR = 0.0001 +[17:31:34] Precision = bf16 +[17:31:34] Log every = 50 steps +[17:31:34] Validate every = 1000 steps +[17:31:34] Checkpoint every = 2000 steps +[17:31:34] ================================================================ +[17:31:34] + 50 | 0 | 0.881821 | 0.881821 | 1.00e-05 | 0:01:01 | 3:23:42 + 100 | 0 | 0.944134 | 0.912978 | 2.00e-05 | 0:01:45 | 2:54:28 + 150 | 0 | 0.847341 | 0.891099 | 3.00e-05 | 0:02:30 | 2:44:25 + 200 | 0 | 0.974422 | 0.911930 | 4.00e-05 | 0:03:14 | 2:39:07 + 250 | 0 | 0.930272 | 0.915598 | 5.00e-05 | 0:03:59 | 2:35:41 + 300 | 0 | 1.057495 | 0.939247 | 6.00e-05 | 0:04:44 | 2:33:11 + 350 | 0 | 0.954319 | 0.941401 | 7.00e-05 | 0:05:29 | 2:31:11 + 400 | 0 | 0.951614 | 0.942677 | 8.00e-05 | 0:06:13 | 2:29:31 + 450 | 0 | 0.864501 | 0.933991 | 9.00e-05 | 0:06:58 | 2:28:03 + 500 | 0 | 0.867937 | 0.927386 | 1.00e-04 | 0:07:43 | 2:26:45 + 550 | 0 | 0.851981 | 0.920531 | 1.00e-04 | 0:08:28 | 2:25:32 + 600 | 0 | 0.949138 | 0.922915 | 1.00e-04 | 0:09:12 | 2:24:23 + 650 | 0 | 1.018220 | 0.930246 | 9.99e-05 | 0:09:57 | 2:23:18 + 700 | 0 | 0.896662 | 0.927847 | 9.99e-05 | 0:10:42 | 2:22:16 + 750 | 0 | 0.932976 | 0.928189 | 9.98e-05 | 0:11:27 | 2:21:15 + 800 | 0 | 0.768658 | 0.918218 | 9.98e-05 | 0:12:11 | 2:20:16 + 850 | 0 | 0.807490 | 0.911705 | 9.97e-05 | 0:12:56 | 2:19:20 + 900 | 0 | 0.954437 | 0.914079 | 9.96e-05 | 0:13:41 | 2:18:25 + 950 | 0 | 0.987696 | 0.917953 | 9.94e-05 | 0:14:26 | 2:17:31 + 1000 | 0 | 0.802562 | 0.912184 | 9.93e-05 | 0:15:11 | 2:16:39 +[17:46:31] Generating 16 validation images ... +[17:46:46] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0001000.png + 1050 | 0 | 0.941541 | 0.913582 | 9.92e-05 | 0:16:12 | 2:18:07 + 1100 | 0 | 0.901161 | 0.913017 | 9.90e-05 | 0:16:57 | 2:17:10 + 1150 | 0 | 0.818543 | 0.908910 | 9.88e-05 | 0:17:42 | 2:16:13 + 1200 | 0 | 0.871100 | 0.907334 | 9.87e-05 | 0:18:27 | 2:15:18 + 1250 | 0 | 0.822430 | 0.903938 | 9.85e-05 | 0:19:11 | 2:14:22 + 1300 | 0 | 0.945464 | 0.905535 | 9.83e-05 | 0:19:56 | 2:13:27 + 1350 | 0 | 0.857766 | 0.903766 | 9.80e-05 | 0:20:41 | 2:12:33 + 1400 | 0 | 0.899803 | 0.903624 | 9.78e-05 | 0:21:25 | 2:11:38 + 1450 | 0 | 0.830598 | 0.901106 | 9.76e-05 | 0:22:10 | 2:10:44 + 1500 | 0 | 0.962431 | 0.903150 | 9.73e-05 | 0:22:54 | 2:09:51 + 1550 | 0 | 0.887591 | 0.902649 | 9.70e-05 | 0:23:39 | 2:08:59 + 1600 | 0 | 0.867281 | 0.901543 | 9.67e-05 | 0:24:24 | 2:08:07 + 1650 | 0 | 0.916064 | 0.901983 | 9.64e-05 | 0:25:09 | 2:07:16 + 1700 | 0 | 0.906185 | 0.902107 | 9.61e-05 | 0:25:53 | 2:06:26 + 1750 | 0 | 0.840438 | 0.900345 | 9.58e-05 | 0:26:38 | 2:05:35 + 1800 | 0 | 0.919186 | 0.900868 | 9.55e-05 | 0:27:23 | 2:04:45 + 1850 | 0 | 0.836662 | 0.899133 | 9.51e-05 | 0:28:07 | 2:03:55 + 1900 | 0 | 0.950503 | 0.900485 | 9.47e-05 | 0:28:52 | 2:03:05 + 1950 | 0 | 0.858670 | 0.899413 | 9.44e-05 | 0:29:37 | 2:02:16 + 2000 | 0 | 0.998863 | 0.901899 | 9.40e-05 | 0:30:21 | 2:01:27 +[18:01:56] Saved checkpoint -> RESULTS/flicker8k/run_004/checkpoint-2000 +[18:01:56] Generating 16 validation images ... +[18:02:10] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0002000.png + 2050 | 0 | 0.854568 | 0.900744 | 9.36e-05 | 0:31:36 | 2:02:36 + 2100 | 0 | 0.947516 | 0.901858 | 9.32e-05 | 0:32:21 | 2:01:44 + 2150 | 0 | 0.973283 | 0.903519 | 9.27e-05 | 0:33:06 | 2:00:52 + 2200 | 0 | 0.788133 | 0.900897 | 9.23e-05 | 0:33:50 | 2:00:00 + 2250 | 0 | 0.792462 | 0.898487 | 9.19e-05 | 0:34:35 | 1:59:09 + 2300 | 0 | 0.900730 | 0.898536 | 9.14e-05 | 0:35:20 | 1:58:18 + 2350 | 0 | 0.910181 | 0.898784 | 9.09e-05 | 0:36:05 | 1:57:28 + 2400 | 0 | 0.895686 | 0.898719 | 9.05e-05 | 0:36:50 | 1:56:38 + 2450 | 0 | 0.804926 | 0.896805 | 9.00e-05 | 0:37:34 | 1:55:48 + 2500 | 0 | 1.010262 | 0.899074 | 8.95e-05 | 0:38:19 | 1:54:59 + 2550 | 0 | 0.918311 | 0.899451 | 8.89e-05 | 0:39:04 | 1:54:09 + 2600 | 0 | 0.958118 | 0.900579 | 8.84e-05 | 0:39:49 | 1:53:20 + 2650 | 0 | 0.892586 | 0.900429 | 8.79e-05 | 0:40:34 | 1:52:31 + 2700 | 0 | 0.896040 | 0.900347 | 8.73e-05 | 0:41:19 | 1:51:42 + 2750 | 0 | 0.938816 | 0.901047 | 8.68e-05 | 0:42:03 | 1:50:53 + 2800 | 0 | 0.862951 | 0.900367 | 8.62e-05 | 0:42:48 | 1:50:04 + 2850 | 0 | 0.865429 | 0.899754 | 8.56e-05 | 0:43:33 | 1:49:15 + 2900 | 0 | 0.869256 | 0.899228 | 8.51e-05 | 0:44:17 | 1:48:26 + 2950 | 0 | 0.859662 | 0.898557 | 8.45e-05 | 0:45:02 | 1:47:38 + 3000 | 0 | 0.835903 | 0.897513 | 8.39e-05 | 0:45:47 | 1:46:50 +[18:17:06] Generating 16 validation images ... +[18:17:20] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0003000.png + 3050 | 0 | 0.882910 | 0.897274 | 8.33e-05 | 0:46:46 | 1:46:35 + 3100 | 0 | 0.776684 | 0.895329 | 8.26e-05 | 0:47:31 | 1:45:46 + 3150 | 0 | 0.961673 | 0.896382 | 8.20e-05 | 0:48:16 | 1:44:57 + 3200 | 0 | 0.819801 | 0.895185 | 8.14e-05 | 0:49:00 | 1:44:09 + 3250 | 0 | 0.908942 | 0.895397 | 8.07e-05 | 0:49:45 | 1:43:20 + 3300 | 0 | 0.824080 | 0.894316 | 8.01e-05 | 0:50:29 | 1:42:31 + 3350 | 0 | 0.968804 | 0.895428 | 7.94e-05 | 0:51:14 | 1:41:43 + 3400 | 0 | 0.929976 | 0.895936 | 7.87e-05 | 0:51:59 | 1:40:54 + 3450 | 0 | 0.880029 | 0.895705 | 7.80e-05 | 0:52:43 | 1:40:06 + 3500 | 0 | 0.956807 | 0.896578 | 7.73e-05 | 0:53:28 | 1:39:18 +[18:25:22] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.898528 --- + 3550 | 1 | 0.856533 | 0.896014 | 7.67e-05 | 0:54:12 | 1:38:29 + 3600 | 1 | 0.917282 | 0.896310 | 7.59e-05 | 0:54:57 | 1:37:41 + 3650 | 1 | 0.907904 | 0.896468 | 7.52e-05 | 0:55:41 | 1:36:54 + 3700 | 1 | 0.856804 | 0.895932 | 7.45e-05 | 0:56:26 | 1:36:06 + 3750 | 1 | 0.949632 | 0.896648 | 7.38e-05 | 0:57:11 | 1:35:18 + 3800 | 1 | 0.944603 | 0.897279 | 7.31e-05 | 0:57:55 | 1:34:31 + 3850 | 1 | 1.000130 | 0.898615 | 7.23e-05 | 0:58:40 | 1:33:43 + 3900 | 1 | 0.869976 | 0.898248 | 7.16e-05 | 0:59:25 | 1:32:56 + 3950 | 1 | 0.895542 | 0.898214 | 7.08e-05 | 1:00:09 | 1:32:08 + 4000 | 1 | 0.899617 | 0.898231 | 7.01e-05 | 1:00:54 | 1:31:21 +[18:32:28] Saved checkpoint -> RESULTS/flicker8k/run_004/checkpoint-4000 +[18:32:29] Generating 16 validation images ... +[18:32:43] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0004000.png + 4050 | 1 | 0.950562 | 0.898877 | 6.93e-05 | 1:02:09 | 1:31:18 + 4100 | 1 | 1.028163 | 0.900454 | 6.86e-05 | 1:02:53 | 1:30:30 + 4150 | 1 | 0.936413 | 0.900887 | 6.78e-05 | 1:03:38 | 1:29:42 + 4200 | 1 | 0.906652 | 0.900956 | 6.70e-05 | 1:04:23 | 1:28:55 + 4250 | 1 | 0.818948 | 0.899991 | 6.62e-05 | 1:05:07 | 1:28:07 + 4300 | 1 | 0.868602 | 0.899626 | 6.55e-05 | 1:05:52 | 1:27:19 + 4350 | 1 | 0.887084 | 0.899482 | 6.47e-05 | 1:06:37 | 1:26:31 + 4400 | 1 | 0.899419 | 0.899481 | 6.39e-05 | 1:07:21 | 1:25:44 + 4450 | 1 | 0.877324 | 0.899232 | 6.31e-05 | 1:08:06 | 1:24:56 + 4500 | 1 | 0.955078 | 0.899853 | 6.23e-05 | 1:08:51 | 1:24:09 + 4550 | 1 | 0.880185 | 0.899637 | 6.15e-05 | 1:09:35 | 1:23:21 + 4600 | 1 | 0.869562 | 0.899310 | 6.07e-05 | 1:10:20 | 1:22:34 + 4650 | 1 | 0.919119 | 0.899523 | 5.99e-05 | 1:11:05 | 1:21:47 + 4700 | 1 | 0.908636 | 0.899620 | 5.90e-05 | 1:11:49 | 1:20:59 + 4750 | 1 | 0.788154 | 0.898446 | 5.82e-05 | 1:12:34 | 1:20:12 + 4800 | 1 | 0.896598 | 0.898427 | 5.74e-05 | 1:13:18 | 1:19:25 + 4850 | 1 | 0.916440 | 0.898613 | 5.66e-05 | 1:14:03 | 1:18:38 + 4900 | 1 | 0.922683 | 0.898858 | 5.58e-05 | 1:14:48 | 1:17:51 + 4950 | 1 | 0.866484 | 0.898531 | 5.50e-05 | 1:15:32 | 1:17:04 + 5000 | 1 | 0.874421 | 0.898290 | 5.41e-05 | 1:16:17 | 1:16:17 +[18:47:37] Generating 16 validation images ... +[18:47:51] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0005000.png + 5050 | 1 | 0.888767 | 0.898360 | 5.33e-05 | 1:17:16 | 1:15:45 + 5100 | 1 | 0.830950 | 0.897228 | 5.25e-05 | 1:18:01 | 1:14:57 + 5150 | 1 | 0.808503 | 0.896840 | 5.17e-05 | 1:18:46 | 1:14:10 + 5200 | 1 | 0.911183 | 0.896207 | 5.08e-05 | 1:19:30 | 1:13:23 + 5250 | 1 | 0.905400 | 0.895958 | 5.00e-05 | 1:20:15 | 1:12:36 + 5300 | 1 | 0.960877 | 0.894992 | 4.92e-05 | 1:21:00 | 1:11:49 + 5350 | 1 | 0.912777 | 0.894577 | 4.83e-05 | 1:21:44 | 1:11:02 + 5400 | 1 | 0.964516 | 0.894706 | 4.75e-05 | 1:22:29 | 1:10:16 + 5450 | 1 | 0.782631 | 0.893887 | 4.67e-05 | 1:23:13 | 1:09:29 + 5500 | 1 | 0.945750 | 0.894665 | 4.59e-05 | 1:23:58 | 1:08:42 + 5550 | 1 | 0.869200 | 0.894837 | 4.50e-05 | 1:24:43 | 1:07:55 + 5600 | 1 | 0.879450 | 0.894141 | 4.42e-05 | 1:25:27 | 1:07:08 + 5650 | 1 | 0.941182 | 0.893370 | 4.34e-05 | 1:26:12 | 1:06:22 + 5700 | 1 | 0.760581 | 0.892009 | 4.26e-05 | 1:26:57 | 1:05:35 + 5750 | 1 | 0.928457 | 0.891964 | 4.18e-05 | 1:27:41 | 1:04:49 + 5800 | 1 | 0.810752 | 0.892385 | 4.10e-05 | 1:28:26 | 1:04:02 + 5850 | 1 | 0.880364 | 0.893114 | 4.01e-05 | 1:29:10 | 1:03:15 + 5900 | 1 | 0.857393 | 0.892143 | 3.93e-05 | 1:29:55 | 1:02:29 + 5950 | 1 | 0.937274 | 0.891639 | 3.85e-05 | 1:30:40 | 1:01:42 + 6000 | 1 | 0.891517 | 0.892529 | 3.77e-05 | 1:31:24 | 1:00:56 +[19:02:59] Saved checkpoint -> RESULTS/flicker8k/run_004/checkpoint-6000 +[19:02:59] Generating 16 validation images ... +[19:03:13] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0006000.png + 6050 | 1 | 0.948603 | 0.892599 | 3.69e-05 | 1:32:40 | 1:00:30 + 6100 | 1 | 0.725133 | 0.890839 | 3.61e-05 | 1:33:24 | 0:59:43 + 6150 | 1 | 0.946461 | 0.892118 | 3.53e-05 | 1:34:09 | 0:58:56 + 6200 | 1 | 0.910645 | 0.892514 | 3.45e-05 | 1:34:53 | 0:58:09 + 6250 | 1 | 0.887050 | 0.893160 | 3.38e-05 | 1:35:38 | 0:57:23 + 6300 | 1 | 0.973164 | 0.893437 | 3.30e-05 | 1:36:23 | 0:56:36 + 6350 | 1 | 0.862111 | 0.893480 | 3.22e-05 | 1:37:07 | 0:55:49 + 6400 | 1 | 0.896828 | 0.893451 | 3.14e-05 | 1:37:52 | 0:55:03 + 6450 | 1 | 0.791935 | 0.893064 | 3.07e-05 | 1:38:37 | 0:54:16 + 6500 | 1 | 0.827110 | 0.891711 | 2.99e-05 | 1:39:21 | 0:53:30 + 6550 | 1 | 0.932364 | 0.892159 | 2.92e-05 | 1:40:06 | 0:52:43 + 6600 | 1 | 0.831867 | 0.891804 | 2.84e-05 | 1:40:50 | 0:51:57 + 6650 | 1 | 0.957914 | 0.892223 | 2.77e-05 | 1:41:35 | 0:51:10 + 6700 | 1 | 0.892764 | 0.892089 | 2.69e-05 | 1:42:20 | 0:50:24 + 6750 | 1 | 0.947520 | 0.893160 | 2.62e-05 | 1:43:04 | 0:49:37 + 6800 | 1 | 0.860853 | 0.892576 | 2.55e-05 | 1:43:49 | 0:48:51 + 6850 | 1 | 0.797547 | 0.892185 | 2.48e-05 | 1:44:34 | 0:48:05 + 6900 | 1 | 0.912597 | 0.891806 | 2.41e-05 | 1:45:18 | 0:47:18 + 6950 | 1 | 0.877460 | 0.891994 | 2.33e-05 | 1:46:03 | 0:46:32 + 7000 | 1 | 0.999790 | 0.892003 | 2.27e-05 | 1:46:47 | 0:45:46 +[19:18:07] Generating 16 validation images ... +[19:18:21] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0007000.png + 7050 | 1 | 0.956057 | 0.893018 | 2.20e-05 | 1:47:47 | 0:45:06 +[19:19:32] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.894412 --- + 7100 | 2 | 0.851888 | 0.892062 | 2.13e-05 | 1:48:31 | 0:44:19 + 7150 | 2 | 0.895808 | 0.891287 | 2.06e-05 | 1:49:16 | 0:43:33 + 7200 | 2 | 0.926187 | 0.892668 | 1.99e-05 | 1:50:00 | 0:42:46 + 7250 | 2 | 0.971255 | 0.894455 | 1.93e-05 | 1:50:45 | 0:42:00 + 7300 | 2 | 0.979340 | 0.895242 | 1.86e-05 | 1:51:30 | 0:41:14 + 7350 | 2 | 0.912373 | 0.895263 | 1.80e-05 | 1:52:14 | 0:40:28 + 7400 | 2 | 0.658234 | 0.892889 | 1.74e-05 | 1:52:59 | 0:39:41 + 7450 | 2 | 0.826844 | 0.893108 | 1.67e-05 | 1:53:43 | 0:38:55 + 7500 | 2 | 0.835044 | 0.891356 | 1.61e-05 | 1:54:28 | 0:38:09 + 7550 | 2 | 0.769899 | 0.889872 | 1.55e-05 | 1:55:13 | 0:37:23 + 7600 | 2 | 0.951517 | 0.889806 | 1.49e-05 | 1:55:57 | 0:36:37 + 7650 | 2 | 0.847155 | 0.889352 | 1.44e-05 | 1:56:42 | 0:35:51 + 7700 | 2 | 0.866074 | 0.889052 | 1.38e-05 | 1:57:27 | 0:35:05 + 7750 | 2 | 0.912590 | 0.888790 | 1.32e-05 | 1:58:11 | 0:34:18 + 7800 | 2 | 0.927374 | 0.889434 | 1.27e-05 | 1:58:56 | 0:33:32 + 7850 | 2 | 0.918396 | 0.889964 | 1.21e-05 | 1:59:41 | 0:32:46 + 7900 | 2 | 0.912892 | 0.890400 | 1.16e-05 | 2:00:25 | 0:32:00 + 7950 | 2 | 0.894615 | 0.890749 | 1.11e-05 | 2:01:10 | 0:31:14 + 8000 | 2 | 0.814244 | 0.890533 | 1.05e-05 | 2:01:54 | 0:30:28 +[19:33:29] Saved checkpoint -> RESULTS/flicker8k/run_004/checkpoint-8000 +[19:33:31] Removed old checkpoint: checkpoint-2000 +[19:33:32] Generating 16 validation images ... +[19:33:46] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0008000.png + 8050 | 2 | 0.908318 | 0.890787 | 1.00e-05 | 2:03:12 | 0:29:50 + 8100 | 2 | 0.908141 | 0.892101 | 9.55e-06 | 2:03:56 | 0:29:04 + 8150 | 2 | 0.911359 | 0.891598 | 9.07e-06 | 2:04:41 | 0:28:18 + 8200 | 2 | 0.828618 | 0.891686 | 8.60e-06 | 2:05:26 | 0:27:32 + 8250 | 2 | 0.976937 | 0.892366 | 8.14e-06 | 2:06:10 | 0:26:45 + 8300 | 2 | 0.887983 | 0.893005 | 7.70e-06 | 2:06:55 | 0:25:59 + 8350 | 2 | 0.911341 | 0.892431 | 7.26e-06 | 2:07:40 | 0:25:13 + 8400 | 2 | 0.889228 | 0.892023 | 6.84e-06 | 2:08:24 | 0:24:27 + 8450 | 2 | 0.826328 | 0.891486 | 6.43e-06 | 2:09:09 | 0:23:41 + 8500 | 2 | 0.883285 | 0.890751 | 6.03e-06 | 2:09:54 | 0:22:55 + 8550 | 2 | 0.899307 | 0.891179 | 5.64e-06 | 2:10:38 | 0:22:09 + 8600 | 2 | 0.813972 | 0.890146 | 5.26e-06 | 2:11:23 | 0:21:23 + 8650 | 2 | 0.899221 | 0.890059 | 4.90e-06 | 2:12:07 | 0:20:37 + 8700 | 2 | 0.825040 | 0.889741 | 4.55e-06 | 2:12:52 | 0:19:51 + 8750 | 2 | 0.868409 | 0.888929 | 4.21e-06 | 2:13:37 | 0:19:05 + 8800 | 2 | 0.905077 | 0.888534 | 3.89e-06 | 2:14:21 | 0:18:19 + 8850 | 2 | 0.835593 | 0.886888 | 3.57e-06 | 2:15:06 | 0:17:33 + 8900 | 2 | 0.824696 | 0.886436 | 3.27e-06 | 2:15:50 | 0:16:47 + 8950 | 2 | 0.961158 | 0.887092 | 2.98e-06 | 2:16:35 | 0:16:01 + 9000 | 2 | 0.885950 | 0.886955 | 2.71e-06 | 2:17:20 | 0:15:15 +[19:48:39] Generating 16 validation images ... +[19:48:53] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0009000.png + 9050 | 2 | 0.925822 | 0.886708 | 2.45e-06 | 2:18:19 | 0:14:31 + 9100 | 2 | 1.008784 | 0.886514 | 2.20e-06 | 2:19:04 | 0:13:45 + 9150 | 2 | 1.019760 | 0.887347 | 1.96e-06 | 2:19:48 | 0:12:59 + 9200 | 2 | 0.871923 | 0.887000 | 1.74e-06 | 2:20:33 | 0:12:13 + 9250 | 2 | 0.828195 | 0.887093 | 1.53e-06 | 2:21:17 | 0:11:27 + 9300 | 2 | 1.008435 | 0.888491 | 1.33e-06 | 2:22:02 | 0:10:41 + 9350 | 2 | 0.927442 | 0.888895 | 1.15e-06 | 2:22:46 | 0:09:55 + 9400 | 2 | 0.917884 | 0.889079 | 9.81e-07 | 2:23:31 | 0:09:09 + 9450 | 2 | 0.848604 | 0.888792 | 8.25e-07 | 2:24:16 | 0:08:23 + 9500 | 2 | 0.928942 | 0.888531 | 6.82e-07 | 2:25:00 | 0:07:37 + 9550 | 2 | 0.842250 | 0.888151 | 5.53e-07 | 2:25:45 | 0:06:52 + 9600 | 2 | 0.898765 | 0.888443 | 4.37e-07 | 2:26:29 | 0:06:06 + 9650 | 2 | 0.842136 | 0.887673 | 3.35e-07 | 2:27:14 | 0:05:20 + 9700 | 2 | 0.906206 | 0.887649 | 2.46e-07 | 2:27:59 | 0:04:34 + 9750 | 2 | 0.937734 | 0.889145 | 1.71e-07 | 2:28:43 | 0:03:48 + 9800 | 2 | 0.886393 | 0.889043 | 1.09e-07 | 2:29:28 | 0:03:03 + 9850 | 2 | 0.810095 | 0.887979 | 6.15e-08 | 2:30:13 | 0:02:17 + 9900 | 2 | 0.911080 | 0.887863 | 2.73e-08 | 2:30:57 | 0:01:31 + 9950 | 2 | 0.947924 | 0.888678 | 6.83e-09 | 2:31:42 | 0:00:45 + 10000 | 2 | 0.984792 | 0.889782 | 0.00e+00 | 2:32:27 | 0:00:00 +[20:04:02] Saved checkpoint -> RESULTS/flicker8k/run_004/checkpoint-10000 +[20:04:04] Removed old checkpoint: checkpoint-4000 +[20:04:05] Generating 16 validation images ... +[20:04:18] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0010000.png +[20:04:19] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.894088 --- +[20:04:19] Saving final model ... +[20:04:32] Pipeline saved -> RESULTS/flicker8k/run_004 +[20:04:32] Generating final validation collage ... +[20:04:32] Generating 16 validation images ... +[20:04:46] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_004/validation/collage_step_0010000.png +[20:04:46] +[20:04:46] ============================================================ +[20:04:46] TRAINING SUMMARY +[20:04:46] ============================================================ +[20:04:46] Total steps : 200 +[20:04:46] Final loss : 0.984792 +[20:04:46] Avg last 100 : 0.889782 +[20:04:46] Min loss : 0.658234 +[20:04:46] Total time : 2:33:27 +[20:04:46] Output : RESULTS/flicker8k/run_004 +[20:04:46] ============================================================ diff --git a/flicker8k/sana 1.6/Baseline/training_args.json b/flicker8k/sana 1.6/Baseline/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..4e1f38e1efd8e7692778d463fc623a9a9440e6be --- /dev/null +++ b/flicker8k/sana 1.6/Baseline/training_args.json @@ -0,0 +1,46 @@ +{ + "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers", + "revision": null, + "variant": null, + "cache_dir": null, + "data_dir": "../data/flicker8k", + "caption_file_train": "caption_train.json", + "caption_file_val": "caption_val.json", + "images_dir": "images", + "max_captions_per_image": 5, + "results_root": "RESULTS", + "seed": 42, + "resolution": 512, + "train_batch_size": 8, + "max_train_steps": 10000, + "num_train_epochs": 3, + "gradient_accumulation_steps": 1, + "gradient_checkpointing": false, + "learning_rate": 0.0001, + "scale_lr": false, + "lr_scheduler": "cosine", + "lr_warmup_steps": 500, + "lr_num_cycles": 1, + "optimizer": "AdamW", + "adam_beta1": 0.9, + "adam_beta2": 0.999, + "adam_weight_decay": 0.01, + "adam_epsilon": 1e-08, + "max_grad_norm": 1.0, + "mixed_precision": "bf16", + "allow_tf32": false, + "checkpointing_steps": 2000, + "checkpoints_total_limit": 3, + "resume_from_checkpoint": null, + "validation_steps": 1000, + "validation_prompts_file": null, + "log_every_n_steps": 50, + "weighting_scheme": "logit_normal", + "logit_mean": 0.0, + "logit_std": 1.0, + "mode_scale": 1.29, + "max_sequence_length": 256, + "dataloader_num_workers": 4, + "pin_memory": false, + "output_dir": "RESULTS/flicker8k/run_004" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/Baseline/training_summary.json b/flicker8k/sana 1.6/Baseline/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c443cf744ada1ef0f3f4e6a18fc9d52628963d77 --- /dev/null +++ b/flicker8k/sana 1.6/Baseline/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.9847924709320068, + "avg_last_100": 0.8897815138101578, + "min_loss": 0.6582340002059937, + "total_time": "2:33:27" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/RAd/model_index.json b/flicker8k/sana 1.6/RAd/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 1.6/RAd/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 1.6/RAd/training.log b/flicker8k/sana 1.6/RAd/training.log new file mode 100644 index 0000000000000000000000000000000000000000..7c80c401c7d3e299a1edfadf9fce75cca7e4d4c7 --- /dev/null +++ b/flicker8k/sana 1.6/RAd/training.log @@ -0,0 +1,305 @@ +Training started: 2026-07-29 13:44:23 +========================================================================================================================================================================== + Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA +-------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +[13:44:23] Run directory: RESULTS/flicker8k/run_003 +[13:44:23] cuDNN SDPA disabled -- Flash/math backend for bf16 compatibility +[13:44:23] AGD: temperature=0.1, curriculum_steps=5000, max_delta=300 +[13:44:23] TAM: enabled=True, alpha=0.9, factor=0.5 +[13:44:23] SAD: enabled=True, temperature=0.5 +[13:44:23] Loading pretrained SANA components ... +[13:44:34] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[13:44:34] Building dataset ... +[13:44:34] TAM initialised: 28315 samples tracked. +[13:44:34] +[13:44:34] ======================================================================== +[13:44:34] Output dir = RESULTS/flicker8k/run_003 +[13:44:34] Num examples = 28315 +[13:44:34] Num epochs = 3 +[13:44:34] Batch/device = 8 +[13:44:34] Effective BS = 8 +[13:44:34] Total optim steps = 10000 +[13:44:34] LR = 0.0001 +[13:44:34] Precision = bf16 +[13:44:34] --- AGD Easy-to-Hard Curriculum --- +[13:44:34] AGD temperature = 0.1 +[13:44:34] Curriculum steps = 5000 +[13:44:34] Max timestep delta = 300 +[13:44:34] --- TAM: Temporal Advantage Memory --- +[13:44:34] TAM enabled = True +[13:44:34] TAM alpha (EMA decay) = 0.9 +[13:44:34] TAM factor (modulation)= 0.5 +[13:44:34] TAM log every = 500 steps +[13:44:34] --- SAD: Spectral Advantage Decomposition --- +[13:44:34] SAD enabled = True +[13:44:34] SAD temperature = 0.5 +[13:44:34] ======================================================================== +[13:44:34] + 50 | 0 | 0.895669 | 0.895669 | 0.885726 | 0.894128 | 0.008402 | 1.0000 | 0.0000 | 3.00 | 1.00e-05 | 0:01:13 | 4:02:28 + 100 | 0 | 0.960127 | 0.927898 | 0.953695 | 0.952983 | -0.000712 | 1.0000 | -0.0000 | 6.00 | 2.00e-05 | 0:02:13 | 3:40:15 + 150 | 0 | 0.832648 | 0.896148 | 0.855179 | 0.842542 | -0.012637 | 1.0000 | -0.0000 | 9.00 | 3.00e-05 | 0:03:13 | 3:32:10 + 200 | 0 | 0.964975 | 0.913355 | 0.969794 | 0.969679 | -0.000115 | 1.0000 | -0.0000 | 12.00 | 4.00e-05 | 0:04:14 | 3:27:38 + 250 | 0 | 0.956904 | 0.922065 | 0.929394 | 0.939130 | 0.009736 | 1.0000 | -0.0000 | 15.00 | 5.00e-05 | 0:05:14 | 3:24:30 + 300 | 0 | 1.049304 | 0.943271 | 1.045292 | 1.052427 | 0.007135 | 1.0000 | -0.0000 | 18.00 | 6.00e-05 | 0:06:15 | 3:22:06 + 350 | 0 | 0.986045 | 0.949382 | 0.944840 | 0.943844 | -0.000996 | 1.0000 | -0.0000 | 21.00 | 7.00e-05 | 0:07:15 | 3:20:05 + 400 | 0 | 0.934802 | 0.947559 | 0.948178 | 0.945276 | -0.002902 | 1.0000 | -0.0000 | 24.00 | 8.00e-05 | 0:08:15 | 3:18:19 + 450 | 0 | 1.110014 | 0.965610 | 0.893104 | 0.895514 | 0.002409 | 1.0000 | -0.0001 | 27.00 | 9.00e-05 | 0:09:16 | 3:16:41 + 500 | 0 | 0.856286 | 0.954677 | 0.878416 | 0.866789 | -0.011627 | 1.0000 | -0.0001 | 30.00 | 1.00e-04 | 0:10:16 | 3:15:10 +[13:54:39] [TAM stats @ step 500] mean=-0.0001 std=0.0013 max=0.0255 min=-0.0155 visits=4000 + 550 | 0 | 0.859792 | 0.946051 | 0.854791 | 0.839945 | -0.014846 | 1.0000 | -0.0001 | 33.00 | 1.00e-04 | 0:11:16 | 3:13:45 + 600 | 0 | 0.910760 | 0.943110 | 0.943110 | 0.927638 | -0.015471 | 1.0000 | -0.0001 | 36.00 | 1.00e-04 | 0:12:16 | 3:12:25 + 650 | 0 | 0.984346 | 0.946282 | 1.015420 | 0.977807 | -0.037614 | 1.0000 | -0.0001 | 39.00 | 1.00e-04 | 0:13:17 | 3:11:07 + 700 | 0 | 0.852103 | 0.939555 | 0.885941 | 0.866036 | -0.019906 | 1.0000 | -0.0001 | 42.00 | 1.00e-04 | 0:14:17 | 3:09:52 + 750 | 0 | 0.977308 | 0.942072 | 0.945459 | 0.943982 | -0.001477 | 1.0000 | -0.0002 | 45.00 | 1.00e-04 | 0:15:17 | 3:08:39 + 800 | 0 | 0.697962 | 0.926815 | 0.753830 | 0.725647 | -0.028182 | 1.0000 | -0.0002 | 48.00 | 1.00e-04 | 0:16:18 | 3:07:27 + 850 | 0 | 0.801847 | 0.919464 | 0.809700 | 0.800054 | -0.009646 | 1.0000 | -0.0002 | 51.00 | 1.00e-04 | 0:17:18 | 3:06:17 + 900 | 0 | 0.901126 | 0.918445 | 0.939121 | 0.947810 | 0.008689 | 1.0000 | -0.0002 | 54.00 | 1.00e-04 | 0:18:18 | 3:05:08 + 950 | 0 | 1.006331 | 0.923071 | 1.010072 | 0.951892 | -0.058180 | 1.0000 | -0.0003 | 57.00 | 1.00e-04 | 0:19:18 | 3:04:00 + 1000 | 0 | 0.774452 | 0.915640 | 0.820104 | 0.799481 | -0.020623 | 1.0000 | -0.0003 | 60.00 | 1.00e-04 | 0:20:19 | 3:02:53 +[14:04:42] [TAM stats @ step 1000] mean=-0.0003 std=0.0020 max=0.0255 min=-0.0269 visits=8000 +[14:04:42] Generating 16 validation images ... +[14:04:56] Validation at step 1000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0001000.png + 1050 | 0 | 0.957345 | 0.917626 | 0.953210 | 0.926925 | -0.026285 | 1.0000 | -0.0003 | 63.00 | 1.00e-04 | 0:21:34 | 3:03:53 + 1100 | 0 | 0.869144 | 0.915422 | 0.904089 | 0.852616 | -0.051473 | 1.0000 | -0.0004 | 66.00 | 1.00e-04 | 0:22:34 | 3:02:40 + 1150 | 0 | 0.889130 | 0.914279 | 0.836006 | 0.839721 | 0.003715 | 1.0000 | -0.0004 | 69.00 | 1.00e-04 | 0:23:34 | 3:01:29 + 1200 | 0 | 0.839006 | 0.911143 | 0.884815 | 0.847859 | -0.036956 | 1.0000 | -0.0004 | 72.00 | 1.00e-04 | 0:24:35 | 3:00:19 + 1250 | 0 | 0.784981 | 0.906096 | 0.829500 | 0.757221 | -0.072279 | 1.0000 | -0.0005 | 75.00 | 1.00e-04 | 0:25:35 | 2:59:09 + 1300 | 0 | 0.915985 | 0.906477 | 0.956335 | 0.923723 | -0.032612 | 1.0000 | -0.0005 | 78.00 | 1.00e-04 | 0:26:35 | 2:58:00 + 1350 | 0 | 0.861241 | 0.904801 | 0.846058 | 0.840750 | -0.005308 | 1.0000 | -0.0005 | 81.00 | 1.00e-04 | 0:27:36 | 2:56:52 + 1400 | 0 | 0.865802 | 0.903408 | 0.887917 | 0.853422 | -0.034495 | 1.0000 | -0.0006 | 84.00 | 1.00e-04 | 0:28:36 | 2:55:44 + 1450 | 0 | 0.799430 | 0.899823 | 0.847640 | 0.802281 | -0.045359 | 1.0000 | -0.0006 | 87.00 | 1.00e-04 | 0:29:36 | 2:54:37 + 1500 | 0 | 0.979542 | 0.902480 | 0.986225 | 0.962095 | -0.024130 | 1.0000 | -0.0007 | 90.00 | 1.00e-04 | 0:30:37 | 2:53:31 +[14:15:00] [TAM stats @ step 1500] mean=-0.0007 std=0.0029 max=0.0505 min=-0.0269 visits=12000 + 1550 | 0 | 0.943135 | 0.903792 | 0.896896 | 0.860112 | -0.036784 | 1.0000 | -0.0007 | 93.00 | 1.00e-04 | 0:31:37 | 2:52:25 + 1600 | 0 | 0.813969 | 0.900985 | 0.849743 | 0.811106 | -0.038637 | 1.0000 | -0.0007 | 96.00 | 1.00e-04 | 0:32:38 | 2:51:20 + 1650 | 0 | 0.923219 | 0.901658 | 0.914623 | 0.893865 | -0.020759 | 1.0000 | -0.0008 | 99.00 | 1.00e-04 | 0:33:38 | 2:50:15 + 1700 | 0 | 0.976536 | 0.903861 | 0.931515 | 0.859248 | -0.072267 | 1.0000 | -0.0008 | 102.00 | 1.00e-04 | 0:34:39 | 2:49:11 + 1750 | 0 | 0.795331 | 0.900760 | 0.847850 | 0.803474 | -0.044376 | 1.0000 | -0.0009 | 105.00 | 1.00e-04 | 0:35:39 | 2:48:06 + 1800 | 0 | 0.895492 | 0.900614 | 0.925273 | 0.897325 | -0.027948 | 1.0000 | -0.0009 | 108.00 | 1.00e-04 | 0:36:40 | 2:47:02 + 1850 | 0 | 0.886022 | 0.900219 | 0.843400 | 0.806234 | -0.037166 | 1.0000 | -0.0010 | 111.00 | 1.00e-04 | 0:37:40 | 2:45:58 + 1900 | 0 | 0.914887 | 0.900605 | 0.950970 | 0.895683 | -0.055287 | 1.0000 | -0.0011 | 114.00 | 1.00e-04 | 0:38:41 | 2:44:55 + 1950 | 0 | 0.865134 | 0.899696 | 0.855258 | 0.828430 | -0.026829 | 1.0000 | -0.0011 | 117.00 | 1.00e-04 | 0:39:41 | 2:43:51 + 2000 | 0 | 0.991902 | 0.902001 | 1.003637 | 0.964726 | -0.038911 | 1.0000 | -0.0012 | 120.00 | 1.00e-04 | 0:40:41 | 2:42:47 +[14:25:05] [TAM stats @ step 2000] mean=-0.0012 std=0.0038 max=0.0505 min=-0.0269 visits=16000 +[14:25:20] Saved checkpoint -> RESULTS/flicker8k/run_003/checkpoint-2000 +[14:25:20] Generating 16 validation images ... +[14:25:34] Validation at step 2000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0002000.png + 2050 | 0 | 0.964121 | 0.903516 | 0.847473 | 0.837149 | -0.010324 | 1.0000 | -0.0012 | 123.00 | 1.00e-04 | 0:42:11 | 2:43:37 + 2100 | 0 | 0.853283 | 0.902320 | 0.935397 | 0.876662 | -0.058734 | 1.0000 | -0.0013 | 126.00 | 1.00e-04 | 0:43:11 | 2:42:30 + 2150 | 0 | 0.979604 | 0.904117 | 0.985945 | 0.977746 | -0.008199 | 1.0000 | -0.0014 | 129.00 | 1.00e-04 | 0:44:12 | 2:41:23 + 2200 | 0 | 0.721743 | 0.899972 | 0.792942 | 0.725119 | -0.067823 | 1.0000 | -0.0014 | 132.00 | 1.00e-04 | 0:45:12 | 2:40:17 + 2250 | 0 | 0.680245 | 0.895090 | 0.793889 | 0.710947 | -0.082942 | 1.0000 | -0.0015 | 135.00 | 1.00e-04 | 0:46:12 | 2:39:10 + 2300 | 0 | 0.882084 | 0.894807 | 0.901874 | 0.894239 | -0.007635 | 1.0000 | -0.0015 | 138.00 | 1.00e-04 | 0:47:13 | 2:38:04 + 2350 | 0 | 0.920851 | 0.895361 | 0.907759 | 0.854545 | -0.053214 | 1.0000 | -0.0016 | 141.00 | 1.00e-04 | 0:48:13 | 2:36:58 + 2400 | 0 | 0.842091 | 0.894251 | 0.892391 | 0.838321 | -0.054070 | 1.0000 | -0.0017 | 144.00 | 1.00e-04 | 0:49:13 | 2:35:53 + 2450 | 0 | 0.763827 | 0.891589 | 0.798131 | 0.740393 | -0.057738 | 1.0000 | -0.0017 | 147.00 | 1.00e-04 | 0:50:14 | 2:34:48 + 2500 | 0 | 1.030797 | 0.894374 | 0.987388 | 0.947225 | -0.040163 | 1.0000 | -0.0018 | 150.00 | 1.00e-04 | 0:51:14 | 2:33:42 +[14:35:37] [TAM stats @ step 2500] mean=-0.0018 std=0.0049 max=0.0596 min=-0.0269 visits=20000 + 2550 | 0 | 0.881620 | 0.894124 | 0.901495 | 0.848625 | -0.052869 | 1.0000 | -0.0019 | 153.00 | 1.00e-04 | 0:52:14 | 2:32:38 + 2600 | 0 | 0.937506 | 0.894958 | 0.949056 | 0.907087 | -0.041968 | 1.0000 | -0.0020 | 156.00 | 1.00e-04 | 0:53:14 | 2:31:33 + 2650 | 0 | 0.917250 | 0.895378 | 0.896133 | 0.865047 | -0.031086 | 1.0000 | -0.0020 | 159.00 | 1.00e-04 | 0:54:15 | 2:30:28 + 2700 | 0 | 0.795644 | 0.893531 | 0.890693 | 0.799827 | -0.090865 | 1.0000 | -0.0021 | 162.00 | 1.00e-04 | 0:55:15 | 2:29:24 + 2750 | 0 | 0.948389 | 0.894529 | 0.939029 | 0.908631 | -0.030398 | 1.0000 | -0.0022 | 165.00 | 1.00e-04 | 0:56:15 | 2:28:19 + 2800 | 0 | 0.859632 | 0.893906 | 0.882745 | 0.808137 | -0.074608 | 1.0000 | -0.0023 | 168.00 | 1.00e-04 | 0:57:16 | 2:27:15 + 2850 | 0 | 0.811650 | 0.892463 | 0.852723 | 0.798508 | -0.054215 | 1.0000 | -0.0024 | 171.00 | 1.00e-04 | 0:58:16 | 2:26:11 + 2900 | 0 | 0.977663 | 0.893932 | 0.874601 | 0.851429 | -0.023172 | 1.0000 | -0.0025 | 174.00 | 1.00e-04 | 0:59:16 | 2:25:08 + 2950 | 0 | 0.841014 | 0.893035 | 0.854346 | 0.809378 | -0.044968 | 1.0000 | -0.0025 | 177.00 | 1.00e-04 | 1:00:17 | 2:24:04 + 3000 | 0 | 0.864951 | 0.892567 | 0.855915 | 0.850327 | -0.005588 | 1.0000 | -0.0026 | 180.00 | 1.00e-04 | 1:01:17 | 2:23:00 +[14:45:40] [TAM stats @ step 3000] mean=-0.0026 std=0.0060 max=0.0758 min=-0.0339 visits=24000 +[14:45:40] Generating 16 validation images ... +[14:45:54] Validation at step 3000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0003000.png + 3050 | 0 | 0.885718 | 0.892454 | 0.886247 | 0.830099 | -0.056148 | 1.0000 | -0.0027 | 183.00 | 1.00e-04 | 1:02:32 | 2:22:30 + 3100 | 0 | 0.842733 | 0.891652 | 0.786520 | 0.770037 | -0.016483 | 1.0000 | -0.0028 | 186.00 | 1.00e-04 | 1:03:32 | 2:21:25 + 3150 | 0 | 0.938243 | 0.892392 | 0.980440 | 0.906164 | -0.074275 | 1.0000 | -0.0029 | 189.00 | 1.00e-04 | 1:04:32 | 2:20:21 + 3200 | 0 | 0.769364 | 0.890470 | 0.838495 | 0.724539 | -0.113957 | 1.0000 | -0.0030 | 192.00 | 1.00e-04 | 1:05:33 | 2:19:17 + 3250 | 0 | 0.932223 | 0.891112 | 0.916565 | 0.880227 | -0.036338 | 1.0000 | -0.0030 | 195.00 | 1.00e-04 | 1:06:33 | 2:18:14 + 3300 | 0 | 0.901127 | 0.891264 | 0.824347 | 0.804402 | -0.019945 | 1.0000 | -0.0031 | 198.00 | 1.00e-04 | 1:07:33 | 2:17:10 + 3350 | 0 | 0.934886 | 0.891915 | 0.962901 | 0.884139 | -0.078762 | 1.0000 | -0.0032 | 201.00 | 1.00e-04 | 1:08:34 | 2:16:06 + 3400 | 0 | 0.988966 | 0.893342 | 0.928588 | 0.910983 | -0.017605 | 1.0000 | -0.0033 | 204.00 | 1.00e-04 | 1:09:34 | 2:15:03 + 3450 | 0 | 0.892559 | 0.893331 | 0.886303 | 0.795904 | -0.090399 | 1.0000 | -0.0034 | 207.00 | 1.00e-04 | 1:10:34 | 2:13:59 + 3500 | 0 | 0.905195 | 0.893500 | 0.962814 | 0.890889 | -0.071925 | 1.0000 | -0.0035 | 210.00 | 1.00e-04 | 1:11:34 | 2:12:56 +[14:55:58] [TAM stats @ step 3500] mean=-0.0035 std=0.0071 max=0.0758 min=-0.0339 visits=28000 +[14:56:46] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.892222 --- + 3550 | 1 | 0.913660 | 0.893784 | 0.865860 | 0.872724 | 0.006864 | 1.0000 | -0.0036 | 213.00 | 1.00e-04 | 1:12:34 | 2:11:52 + 3600 | 1 | 0.850579 | 0.893184 | 0.909699 | 0.815098 | -0.094600 | 1.0000 | -0.0037 | 216.00 | 1.00e-04 | 1:13:35 | 2:10:49 + 3650 | 1 | 0.921985 | 0.893579 | 0.911180 | 0.854601 | -0.056580 | 1.0000 | -0.0038 | 219.00 | 1.00e-04 | 1:14:35 | 2:09:46 + 3700 | 1 | 0.921223 | 0.893952 | 0.855391 | 0.813012 | -0.042378 | 1.0000 | -0.0039 | 222.00 | 1.00e-04 | 1:15:35 | 2:08:43 + 3750 | 1 | 0.946558 | 0.894654 | 0.942569 | 0.841323 | -0.101246 | 1.0000 | -0.0040 | 225.00 | 1.00e-04 | 1:16:36 | 2:07:40 + 3800 | 1 | 0.967337 | 0.895610 | 0.934774 | 0.858869 | -0.075905 | 1.0000 | -0.0041 | 228.00 | 1.00e-04 | 1:17:36 | 2:06:37 + 3850 | 1 | 0.971140 | 0.896591 | 0.996645 | 0.975260 | -0.021385 | 1.0000 | -0.0042 | 231.00 | 1.00e-04 | 1:18:37 | 2:05:34 + 3900 | 1 | 0.861298 | 0.896138 | 0.882143 | 0.810399 | -0.071744 | 1.0000 | -0.0043 | 234.00 | 1.00e-04 | 1:19:37 | 2:04:32 + 3950 | 1 | 0.794707 | 0.894854 | 0.889591 | 0.780411 | -0.109180 | 1.0000 | -0.0044 | 237.00 | 1.00e-04 | 1:20:37 | 2:03:29 + 4000 | 1 | 0.944638 | 0.895477 | 0.914739 | 0.867850 | -0.046889 | 1.0000 | -0.0045 | 240.00 | 1.00e-04 | 1:21:38 | 2:02:27 +[15:06:01] [TAM stats @ step 4000] mean=-0.0045 std=0.0088 max=0.0879 min=-0.0590 visits=31995 +[15:06:18] Saved checkpoint -> RESULTS/flicker8k/run_003/checkpoint-4000 +[15:06:18] Generating 16 validation images ... +[15:06:32] Validation at step 4000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0004000.png + 4050 | 1 | 1.027599 | 0.897108 | 0.969424 | 0.903084 | -0.066340 | 1.0000 | -0.0046 | 243.00 | 1.00e-04 | 1:23:10 | 2:02:11 + 4100 | 1 | 0.962393 | 0.897904 | 1.042037 | 0.865997 | -0.176040 | 1.0000 | -0.0047 | 246.00 | 1.00e-04 | 1:24:10 | 2:01:07 + 4150 | 1 | 1.038802 | 0.899602 | 0.948106 | 0.885361 | -0.062745 | 1.0000 | -0.0048 | 249.00 | 1.00e-04 | 1:25:10 | 2:00:04 + 4200 | 1 | 0.917098 | 0.899810 | 0.926188 | 0.804734 | -0.121454 | 1.0000 | -0.0049 | 252.00 | 1.00e-04 | 1:26:11 | 1:59:01 + 4250 | 1 | 0.798642 | 0.898620 | 0.813714 | 0.699764 | -0.113950 | 1.0000 | -0.0050 | 255.00 | 1.00e-04 | 1:27:11 | 1:57:57 + 4300 | 1 | 0.806417 | 0.897548 | 0.889308 | 0.731432 | -0.157876 | 1.0000 | -0.0051 | 258.00 | 1.00e-04 | 1:28:11 | 1:56:54 + 4350 | 1 | 0.827481 | 0.896742 | 0.880855 | 0.734643 | -0.146211 | 1.0000 | -0.0053 | 261.00 | 1.00e-04 | 1:29:12 | 1:55:51 + 4400 | 1 | 0.987505 | 0.897774 | 0.905551 | 0.875842 | -0.029709 | 1.0000 | -0.0054 | 264.00 | 1.00e-04 | 1:30:12 | 1:54:48 + 4450 | 1 | 0.930833 | 0.898145 | 0.869517 | 0.828985 | -0.040532 | 1.0000 | -0.0055 | 267.00 | 1.00e-04 | 1:31:13 | 1:53:45 + 4500 | 1 | 1.377915 | 0.903476 | 0.966349 | 0.883671 | -0.082679 | 1.0000 | -0.0056 | 270.00 | 1.00e-04 | 1:32:13 | 1:52:42 +[15:16:36] [TAM stats @ step 4500] mean=-0.0056 std=0.0104 max=0.1377 min=-0.0590 visits=35995 + 4550 | 1 | 1.223031 | 0.906987 | 0.910593 | 0.811357 | -0.099236 | 1.0000 | -0.0057 | 273.00 | 1.00e-04 | 1:33:13 | 1:51:40 + 4600 | 1 | 0.878010 | 0.906672 | 0.886274 | 0.880077 | -0.006197 | 1.0000 | -0.0059 | 276.00 | 1.00e-04 | 1:34:14 | 1:50:37 + 4650 | 1 | 0.912805 | 0.906738 | 0.911025 | 0.850043 | -0.060982 | 1.0000 | -0.0060 | 279.00 | 1.00e-04 | 1:35:14 | 1:49:34 + 4700 | 1 | 1.006679 | 0.907802 | 0.917243 | 0.842142 | -0.075100 | 1.0000 | -0.0061 | 282.00 | 1.00e-04 | 1:36:14 | 1:48:32 + 4750 | 1 | 0.681163 | 0.905416 | 0.786809 | 0.644438 | -0.142370 | 1.0000 | -0.0062 | 285.00 | 1.00e-04 | 1:37:15 | 1:47:29 + 4800 | 1 | 0.831295 | 0.904644 | 0.889533 | 0.818313 | -0.071220 | 1.0000 | -0.0063 | 288.00 | 1.00e-04 | 1:38:15 | 1:46:26 + 4850 | 1 | 0.877066 | 0.904360 | 0.930114 | 0.788262 | -0.141852 | 1.0000 | -0.0065 | 291.00 | 1.00e-04 | 1:39:16 | 1:45:24 + 4900 | 1 | 0.773139 | 0.903021 | 0.939132 | 0.769029 | -0.170103 | 1.0000 | -0.0066 | 294.00 | 1.00e-04 | 1:40:16 | 1:44:22 + 4950 | 1 | 0.840550 | 0.902390 | 0.882103 | 0.828396 | -0.053707 | 1.0000 | -0.0067 | 297.00 | 1.00e-04 | 1:41:16 | 1:43:19 + 5000 | 1 | 1.031656 | 0.903682 | 0.905620 | 0.883664 | -0.021956 | 1.0000 | -0.0069 | 300.00 | 1.00e-04 | 1:42:17 | 1:42:17 +[15:26:40] [TAM stats @ step 5000] mean=-0.0069 std=0.0119 max=0.1377 min=-0.0670 visits=39995 +[15:26:40] Generating 16 validation images ... +[15:26:54] Validation at step 5000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0005000.png + 5050 | 1 | 0.807326 | 0.902799 | 0.872759 | 0.830001 | -0.042759 | 1.0000 | -0.0069 | 300.00 | 1.00e-04 | 1:43:32 | 1:41:29 + 5100 | 1 | 0.909605 | 0.902294 | 0.901325 | 0.807169 | -0.094156 | 1.0000 | -0.0070 | 300.00 | 1.00e-04 | 1:44:32 | 1:40:26 + 5150 | 1 | 0.844311 | 0.902410 | 0.887849 | 0.860066 | -0.027784 | 1.0000 | -0.0071 | 300.00 | 1.00e-04 | 1:45:32 | 1:39:23 + 5200 | 1 | 0.914912 | 0.901910 | 0.960328 | 0.952488 | -0.007841 | 1.0000 | -0.0071 | 300.00 | 1.00e-04 | 1:46:33 | 1:38:21 + 5250 | 1 | 0.855080 | 0.900891 | 0.879557 | 0.843879 | -0.035678 | 1.0000 | -0.0072 | 300.00 | 1.00e-04 | 1:47:33 | 1:37:18 + 5300 | 1 | 0.988344 | 0.900282 | 0.965596 | 0.910620 | -0.054977 | 1.0000 | -0.0073 | 300.00 | 1.00e-04 | 1:48:33 | 1:36:16 + 5350 | 1 | 1.035230 | 0.900774 | 0.849584 | 0.791982 | -0.057602 | 1.0000 | -0.0074 | 300.00 | 1.00e-04 | 1:49:34 | 1:35:14 + 5400 | 1 | 0.879693 | 0.900222 | 0.952227 | 0.850246 | -0.101981 | 1.0000 | -0.0074 | 300.00 | 1.00e-04 | 1:50:34 | 1:34:11 + 5450 | 1 | 1.097784 | 0.900100 | 0.808334 | 0.902358 | 0.094024 | 1.0000 | -0.0075 | 300.00 | 1.00e-04 | 1:51:34 | 1:33:09 + 5500 | 1 | 0.851301 | 0.900050 | 0.969256 | 0.829730 | -0.139526 | 1.0000 | -0.0076 | 300.00 | 1.00e-04 | 1:52:35 | 1:32:07 +[15:36:58] [TAM stats @ step 5500] mean=-0.0076 std=0.0124 max=0.1377 min=-0.0670 visits=43995 + 5550 | 1 | 0.839603 | 0.899848 | 0.860403 | 0.853324 | -0.007079 | 1.0000 | -0.0076 | 300.00 | 1.00e-04 | 1:53:35 | 1:31:04 + 5600 | 1 | 0.830605 | 0.899047 | 0.897622 | 0.856506 | -0.041116 | 1.0000 | -0.0077 | 300.00 | 1.00e-04 | 1:54:36 | 1:30:02 + 5650 | 1 | 0.828298 | 0.897486 | 0.843145 | 0.795564 | -0.047581 | 1.0000 | -0.0078 | 300.00 | 1.00e-04 | 1:55:36 | 1:29:00 + 5700 | 1 | 0.876718 | 0.897733 | 0.867184 | 0.855920 | -0.011264 | 1.0000 | -0.0078 | 300.00 | 1.00e-04 | 1:56:36 | 1:27:58 + 5750 | 1 | 1.034564 | 0.898305 | 0.905549 | 0.914881 | 0.009332 | 1.0000 | -0.0079 | 300.00 | 1.00e-04 | 1:57:37 | 1:26:56 + 5800 | 1 | 0.891479 | 0.900240 | 0.936024 | 0.830481 | -0.105543 | 1.0000 | -0.0080 | 300.00 | 1.00e-04 | 1:58:37 | 1:25:54 + 5850 | 1 | 0.925004 | 0.901472 | 0.945596 | 0.900505 | -0.045091 | 1.0000 | -0.0080 | 300.00 | 1.00e-04 | 1:59:38 | 1:24:52 + 5900 | 1 | 0.832990 | 0.900790 | 0.863267 | 0.818145 | -0.045121 | 1.0000 | -0.0081 | 300.00 | 1.00e-04 | 2:00:38 | 1:23:50 + 5950 | 1 | 0.895990 | 0.899687 | 0.938132 | 0.905078 | -0.033054 | 1.0000 | -0.0082 | 300.00 | 1.00e-04 | 2:01:38 | 1:22:48 + 6000 | 1 | 0.881086 | 0.900753 | 0.958652 | 0.898210 | -0.060442 | 1.0000 | -0.0082 | 300.00 | 1.00e-04 | 2:02:39 | 1:21:46 +[15:47:02] [TAM stats @ step 6000] mean=-0.0082 std=0.0128 max=0.1377 min=-0.0670 visits=47995 +[15:47:18] Saved checkpoint -> RESULTS/flicker8k/run_003/checkpoint-6000 +[15:47:18] Generating 16 validation images ... +[15:47:32] Validation at step 6000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0006000.png + 6050 | 1 | 0.929735 | 0.900477 | 0.980151 | 0.935700 | -0.044451 | 1.0000 | -0.0083 | 300.00 | 1.00e-04 | 2:04:09 | 1:21:03 + 6100 | 1 | 1.059105 | 0.902377 | 0.812125 | 0.742574 | -0.069551 | 1.0000 | -0.0083 | 300.00 | 1.00e-04 | 2:05:09 | 1:20:01 + 6150 | 1 | 0.929174 | 0.902777 | 0.895776 | 0.908792 | 0.013016 | 1.0000 | -0.0084 | 300.00 | 1.00e-04 | 2:06:09 | 1:18:58 + 6200 | 1 | 0.911471 | 0.903502 | 0.901914 | 0.892408 | -0.009506 | 1.0000 | -0.0085 | 300.00 | 1.00e-04 | 2:07:10 | 1:17:56 + 6250 | 1 | 0.889309 | 0.904545 | 0.899124 | 0.851452 | -0.047672 | 1.0000 | -0.0085 | 300.00 | 1.00e-04 | 2:08:10 | 1:16:54 + 6300 | 1 | 0.999928 | 0.905385 | 1.008292 | 0.944375 | -0.063917 | 1.0000 | -0.0086 | 300.00 | 1.00e-04 | 2:09:11 | 1:15:52 + 6350 | 1 | 0.891724 | 0.905690 | 0.909691 | 0.905887 | -0.003804 | 1.0000 | -0.0087 | 300.00 | 1.00e-04 | 2:10:11 | 1:14:50 + 6400 | 1 | 0.699935 | 0.904031 | 0.811041 | 0.683899 | -0.127142 | 1.0000 | -0.0087 | 300.00 | 1.00e-04 | 2:11:11 | 1:13:47 + 6450 | 1 | 0.764883 | 0.903685 | 0.792420 | 0.769477 | -0.022944 | 1.0000 | -0.0088 | 300.00 | 1.00e-04 | 2:12:12 | 1:12:45 + 6500 | 1 | 0.755227 | 0.901442 | 0.875201 | 0.772337 | -0.102864 | 1.0000 | -0.0089 | 300.00 | 1.00e-04 | 2:13:12 | 1:11:43 +[15:57:36] [TAM stats @ step 6500] mean=-0.0089 std=0.0131 max=0.1377 min=-0.0670 visits=51995 + 6550 | 1 | 0.871841 | 0.900729 | 0.893371 | 0.882655 | -0.010716 | 1.0000 | -0.0089 | 300.00 | 1.00e-04 | 2:14:12 | 1:10:41 + 6600 | 1 | 0.884086 | 0.901430 | 0.917966 | 0.897362 | -0.020604 | 1.0000 | -0.0090 | 300.00 | 1.00e-04 | 2:15:13 | 1:09:39 + 6650 | 1 | 0.980253 | 0.902001 | 0.982527 | 0.875012 | -0.107515 | 1.0000 | -0.0091 | 300.00 | 1.00e-04 | 2:16:13 | 1:08:37 + 6700 | 1 | 0.848015 | 0.900716 | 0.878518 | 0.860171 | -0.018347 | 1.0000 | -0.0091 | 300.00 | 1.00e-04 | 2:17:13 | 1:07:35 + 6750 | 1 | 1.041003 | 0.903172 | 0.961313 | 0.913047 | -0.048266 | 1.0000 | -0.0092 | 300.00 | 1.00e-04 | 2:18:14 | 1:06:33 + 6800 | 1 | 0.832019 | 0.902538 | 0.882427 | 0.797429 | -0.084998 | 1.0000 | -0.0093 | 300.00 | 1.00e-04 | 2:19:14 | 1:05:31 + 6850 | 1 | 0.798594 | 0.901663 | 0.869709 | 0.782655 | -0.087054 | 1.0000 | -0.0093 | 300.00 | 1.00e-04 | 2:20:15 | 1:04:29 + 6900 | 1 | 0.941407 | 0.901928 | 0.903440 | 0.905585 | 0.002145 | 1.0000 | -0.0094 | 300.00 | 1.00e-04 | 2:21:15 | 1:03:27 + 6950 | 1 | 0.749138 | 0.900769 | 0.838483 | 0.740678 | -0.097806 | 1.0000 | -0.0095 | 300.00 | 1.00e-04 | 2:22:15 | 1:02:26 + 7000 | 1 | 0.947080 | 0.900320 | 0.920960 | 0.914089 | -0.006871 | 1.0000 | -0.0095 | 300.00 | 1.00e-04 | 2:23:16 | 1:01:24 +[16:07:39] [TAM stats @ step 7000] mean=-0.0095 std=0.0135 max=0.1377 min=-0.0670 visits=55995 +[16:07:39] Generating 16 validation images ... +[16:07:53] Validation at step 7000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0007000.png + 7050 | 1 | 0.955573 | 0.900235 | 0.938452 | 0.881338 | -0.057114 | 1.0000 | -0.0096 | 300.00 | 1.00e-04 | 2:24:31 | 1:00:28 +[16:09:30] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.886721 --- + 7100 | 2 | 0.920250 | 0.900904 | 0.879995 | 0.818985 | -0.061010 | 1.0000 | -0.0096 | 300.00 | 1.00e-04 | 2:25:30 | 0:59:26 + 7150 | 2 | 0.928759 | 0.900396 | 0.985978 | 0.937866 | -0.048112 | 1.0000 | -0.0097 | 300.00 | 1.00e-04 | 2:26:31 | 0:58:24 + 7200 | 2 | 0.951231 | 0.902691 | 0.975099 | 0.913765 | -0.061335 | 1.0000 | -0.0098 | 300.00 | 1.00e-04 | 2:27:31 | 0:57:22 + 7250 | 2 | 1.099113 | 0.906880 | 0.941956 | 0.952500 | 0.010544 | 1.0000 | -0.0098 | 300.00 | 1.00e-04 | 2:28:31 | 0:56:20 + 7300 | 2 | 0.854248 | 0.906601 | 0.853901 | 0.826535 | -0.027367 | 1.0000 | -0.0099 | 300.00 | 1.00e-04 | 2:29:32 | 0:55:18 + 7350 | 2 | 0.847154 | 0.905864 | 0.901540 | 0.779989 | -0.121551 | 1.0000 | -0.0099 | 300.00 | 1.00e-04 | 2:30:32 | 0:54:16 + 7400 | 2 | 0.839227 | 0.905836 | 0.866438 | 0.762280 | -0.104158 | 1.0000 | -0.0100 | 300.00 | 1.00e-04 | 2:31:33 | 0:53:15 + 7450 | 2 | 0.949897 | 0.907696 | 0.930353 | 0.915231 | -0.015122 | 1.0000 | -0.0101 | 300.00 | 1.00e-04 | 2:32:34 | 0:52:13 + 7500 | 2 | 0.870036 | 0.906089 | 0.912839 | 0.873223 | -0.039616 | 1.0000 | -0.0101 | 300.00 | 1.00e-04 | 2:33:34 | 0:51:11 +[16:17:57] [TAM stats @ step 7500] mean=-0.0101 std=0.0140 max=0.1193 min=-0.0876 visits=59990 + 7550 | 2 | 1.043209 | 0.907705 | 1.014881 | 0.969136 | -0.045745 | 1.0000 | -0.0102 | 300.00 | 1.00e-04 | 2:34:34 | 0:50:09 + 7600 | 2 | 0.992002 | 0.908250 | 0.990482 | 0.975808 | -0.014674 | 1.0000 | -0.0102 | 300.00 | 1.00e-04 | 2:35:35 | 0:49:07 + 7650 | 2 | 0.781224 | 0.906889 | 0.818630 | 0.759983 | -0.058648 | 1.0000 | -0.0103 | 300.00 | 1.00e-04 | 2:36:35 | 0:48:06 + 7700 | 2 | 0.970374 | 0.908637 | 1.002605 | 0.978309 | -0.024295 | 1.0000 | -0.0103 | 300.00 | 1.00e-04 | 2:37:35 | 0:47:04 + 7750 | 2 | 0.833911 | 0.907492 | 0.924249 | 0.809957 | -0.114292 | 1.0000 | -0.0104 | 300.00 | 1.00e-04 | 2:38:36 | 0:46:02 + 7800 | 2 | 1.071632 | 0.909612 | 0.953422 | 0.872863 | -0.080559 | 1.0000 | -0.0105 | 300.00 | 1.00e-04 | 2:39:36 | 0:45:01 + 7850 | 2 | 1.061146 | 0.912107 | 1.051579 | 1.039785 | -0.011794 | 1.0000 | -0.0105 | 300.00 | 1.00e-04 | 2:40:37 | 0:43:59 + 7900 | 2 | 0.835194 | 0.910682 | 0.891757 | 0.787421 | -0.104336 | 1.0000 | -0.0106 | 300.00 | 1.00e-04 | 2:41:37 | 0:42:57 + 7950 | 2 | 0.876054 | 0.911032 | 0.833080 | 0.823007 | -0.010073 | 1.0000 | -0.0106 | 300.00 | 1.00e-04 | 2:42:37 | 0:41:56 + 8000 | 2 | 0.945824 | 0.911841 | 0.975489 | 0.939336 | -0.036153 | 1.0000 | -0.0107 | 300.00 | 1.00e-04 | 2:43:38 | 0:40:54 +[16:28:01] [TAM stats @ step 8000] mean=-0.0107 std=0.0146 max=0.1193 min=-0.0876 visits=63990 +[16:28:16] Saved checkpoint -> RESULTS/flicker8k/run_003/checkpoint-8000 +[16:28:18] Removed old checkpoint: checkpoint-2000 +[16:28:18] Generating 16 validation images ... +[16:28:32] Validation at step 8000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0008000.png + 8050 | 2 | 0.783854 | 0.910823 | 0.843741 | 0.818182 | -0.025559 | 1.0000 | -0.0107 | 300.00 | 1.00e-04 | 2:45:09 | 0:40:00 + 8100 | 2 | 0.933396 | 0.911729 | 0.951822 | 0.894368 | -0.057453 | 1.0000 | -0.0108 | 300.00 | 1.00e-04 | 2:46:09 | 0:38:58 + 8150 | 2 | 0.753143 | 0.909878 | 0.811156 | 0.742769 | -0.068386 | 1.0000 | -0.0108 | 300.00 | 1.00e-04 | 2:47:09 | 0:37:56 + 8200 | 2 | 0.794374 | 0.910128 | 0.813399 | 0.763205 | -0.050195 | 1.0000 | -0.0109 | 300.00 | 1.00e-04 | 2:48:10 | 0:36:54 + 8250 | 2 | 0.887035 | 0.909676 | 0.932775 | 0.895603 | -0.037172 | 1.0000 | -0.0109 | 300.00 | 1.00e-04 | 2:49:10 | 0:35:53 + 8300 | 2 | 0.844263 | 0.909108 | 0.866440 | 0.825210 | -0.041230 | 1.0000 | -0.0110 | 300.00 | 1.00e-04 | 2:50:10 | 0:34:51 + 8350 | 2 | 0.975979 | 0.909519 | 0.884521 | 0.828651 | -0.055870 | 1.0000 | -0.0111 | 300.00 | 1.00e-04 | 2:51:11 | 0:33:49 + 8400 | 2 | 0.935865 | 0.908988 | 0.974945 | 0.938653 | -0.036292 | 1.0000 | -0.0111 | 300.00 | 1.00e-04 | 2:52:11 | 0:32:47 + 8450 | 2 | 0.838611 | 0.908448 | 0.870443 | 0.814518 | -0.055926 | 1.0000 | -0.0112 | 300.00 | 1.00e-04 | 2:53:11 | 0:31:46 + 8500 | 2 | 0.826952 | 0.907666 | 0.865768 | 0.833504 | -0.032264 | 1.0000 | -0.0113 | 300.00 | 1.00e-04 | 2:54:12 | 0:30:44 +[16:38:35] [TAM stats @ step 8500] mean=-0.0113 std=0.0151 max=0.1193 min=-0.0876 visits=67990 + 8550 | 2 | 0.894605 | 0.907475 | 0.885359 | 0.894122 | 0.008763 | 1.0000 | -0.0113 | 300.00 | 1.00e-04 | 2:55:12 | 0:29:42 + 8600 | 2 | 0.811785 | 0.907087 | 0.856173 | 0.809366 | -0.046807 | 1.0000 | -0.0114 | 300.00 | 1.00e-04 | 2:56:13 | 0:28:41 + 8650 | 2 | 0.978015 | 0.907648 | 0.940187 | 0.905351 | -0.034835 | 1.0000 | -0.0114 | 300.00 | 1.00e-04 | 2:57:13 | 0:27:39 + 8700 | 2 | 0.905219 | 0.907488 | 0.945306 | 0.907672 | -0.037634 | 1.0000 | -0.0115 | 300.00 | 1.00e-04 | 2:58:13 | 0:26:37 + 8750 | 2 | 0.815154 | 0.906174 | 0.808863 | 0.767504 | -0.041359 | 1.0000 | -0.0115 | 300.00 | 1.00e-04 | 2:59:14 | 0:25:36 + 8800 | 2 | 0.825108 | 0.904751 | 0.840123 | 0.809299 | -0.030824 | 1.0000 | -0.0116 | 300.00 | 1.00e-04 | 3:00:14 | 0:24:34 + 8850 | 2 | 0.838357 | 0.903423 | 0.841731 | 0.818743 | -0.022988 | 1.0000 | -0.0117 | 300.00 | 1.00e-04 | 3:01:14 | 0:23:33 + 8900 | 2 | 0.758407 | 0.902394 | 0.815881 | 0.773417 | -0.042464 | 1.0000 | -0.0117 | 300.00 | 1.00e-04 | 3:02:15 | 0:22:31 + 8950 | 2 | 0.904340 | 0.903491 | 0.882498 | 0.844948 | -0.037550 | 1.0000 | -0.0118 | 300.00 | 1.00e-04 | 3:03:15 | 0:21:30 + 9000 | 2 | 0.926372 | 0.903308 | 0.918794 | 0.893127 | -0.025667 | 1.0000 | -0.0118 | 300.00 | 1.00e-04 | 3:04:16 | 0:20:28 +[16:48:39] [TAM stats @ step 9000] mean=-0.0118 std=0.0156 max=0.1193 min=-0.0876 visits=71990 +[16:48:39] Generating 16 validation images ... +[16:48:53] Validation at step 9000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0009000.png + 9050 | 2 | 0.934705 | 0.902379 | 0.967383 | 0.935326 | -0.032057 | 1.0000 | -0.0119 | 300.00 | 1.00e-04 | 3:05:31 | 0:19:28 + 9100 | 2 | 0.831741 | 0.901073 | 0.860015 | 0.835070 | -0.024946 | 1.0000 | -0.0120 | 300.00 | 1.00e-04 | 3:06:31 | 0:18:26 + 9150 | 2 | 0.700180 | 0.897686 | 0.802318 | 0.715358 | -0.086959 | 1.0000 | -0.0120 | 300.00 | 1.00e-04 | 3:07:31 | 0:17:25 + 9200 | 2 | 0.796326 | 0.896479 | 0.825151 | 0.804142 | -0.021009 | 1.0000 | -0.0121 | 300.00 | 1.00e-04 | 3:08:32 | 0:16:23 + 9250 | 2 | 0.886555 | 0.897358 | 0.919259 | 0.860290 | -0.058969 | 1.0000 | -0.0121 | 300.00 | 1.00e-04 | 3:09:32 | 0:15:22 + 9300 | 2 | 0.910609 | 0.898400 | 0.945204 | 0.908990 | -0.036214 | 1.0000 | -0.0122 | 300.00 | 1.00e-04 | 3:10:33 | 0:14:20 + 9350 | 2 | 0.769212 | 0.897817 | 0.828353 | 0.764949 | -0.063404 | 1.0000 | -0.0123 | 300.00 | 1.00e-04 | 3:11:33 | 0:13:19 + 9400 | 2 | 0.925467 | 0.897197 | 0.963384 | 0.928944 | -0.034439 | 1.0000 | -0.0123 | 300.00 | 1.00e-04 | 3:12:33 | 0:12:17 + 9450 | 2 | 0.847081 | 0.896359 | 0.934634 | 0.799306 | -0.135327 | 1.0000 | -0.0124 | 300.00 | 1.00e-04 | 3:13:34 | 0:11:15 + 9500 | 2 | 0.991746 | 0.892498 | 0.999326 | 1.010924 | 0.011598 | 1.0000 | -0.0124 | 300.00 | 1.00e-04 | 3:14:34 | 0:10:14 +[16:58:57] [TAM stats @ step 9500] mean=-0.0124 std=0.0161 max=0.1468 min=-0.0876 visits=75990 + 9550 | 2 | 0.858669 | 0.888854 | 0.874627 | 0.793784 | -0.080843 | 1.0000 | -0.0125 | 300.00 | 1.00e-04 | 3:15:34 | 0:09:12 + 9600 | 2 | 1.027163 | 0.890345 | 1.062544 | 1.002267 | -0.060276 | 1.0000 | -0.0126 | 300.00 | 1.00e-04 | 3:16:35 | 0:08:11 + 9650 | 2 | 0.884291 | 0.890060 | 0.866836 | 0.870388 | 0.003551 | 1.0000 | -0.0126 | 300.00 | 1.00e-04 | 3:17:35 | 0:07:09 + 9700 | 2 | 0.882036 | 0.888814 | 0.907332 | 0.880395 | -0.026937 | 1.0000 | -0.0127 | 300.00 | 1.00e-04 | 3:18:35 | 0:06:08 + 9750 | 2 | 0.730684 | 0.889309 | 0.835695 | 0.711817 | -0.123879 | 1.0000 | -0.0127 | 300.00 | 1.00e-04 | 3:19:36 | 0:05:07 + 9800 | 2 | 0.869624 | 0.889692 | 0.718562 | 0.731111 | 0.012549 | 1.0000 | -0.0128 | 300.00 | 1.00e-04 | 3:20:36 | 0:04:05 + 9850 | 2 | 0.748834 | 0.888410 | 0.868219 | 0.760288 | -0.107931 | 1.0000 | -0.0129 | 300.00 | 1.00e-04 | 3:21:37 | 0:03:04 + 9900 | 2 | 0.839379 | 0.889072 | 0.945913 | 0.805838 | -0.140075 | 1.0000 | -0.0129 | 300.00 | 1.00e-04 | 3:22:37 | 0:02:02 + 9950 | 2 | 0.907838 | 0.889745 | 0.932173 | 0.807475 | -0.124698 | 1.0000 | -0.0130 | 300.00 | 1.00e-04 | 3:23:37 | 0:01:01 + 10000 | 2 | 0.973683 | 0.889166 | 0.977950 | 0.946303 | -0.031647 | 1.0000 | -0.0131 | 300.00 | 1.00e-04 | 3:24:38 | 0:00:00 +[17:09:01] [TAM stats @ step 10000] mean=-0.0131 std=0.0165 max=0.1468 min=-0.0876 visits=79990 +[17:09:15] Saved checkpoint -> RESULTS/flicker8k/run_003/checkpoint-10000 +[17:09:18] Removed old checkpoint: checkpoint-4000 +[17:09:18] Generating 16 validation images ... +[17:09:32] Validation at step 10000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0010000.png +[17:09:32] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.883754 --- +[17:09:32] Saving final model ... +[17:09:43] Pipeline saved -> RESULTS/flicker8k/run_003 +[17:09:43] TAM scores saved -> RESULTS/flicker8k/run_003/tam_final.pt +[17:09:43] Final TAM stats: {'mean_score': -0.01306641660630703, 'std_score': 0.016535282135009766, 'max_score': 0.14680996537208557, 'min_score': -0.08759160339832306, 'total_visits': 79990} +[17:09:43] Generating final validation collage ... +[17:09:43] Generating 16 validation images ... +[17:09:57] Validation at step 10000: 16 images -> RESULTS/flicker8k/run_003/validation/collage_step_0010000.png +[17:09:57] +[17:09:57] ============================================================ +[17:09:57] TRAINING SUMMARY +[17:09:57] ============================================================ +[17:09:57] Total steps : 200 +[17:09:57] Final loss : 0.973683 +[17:09:57] Avg last 100 : 0.889166 +[17:09:57] Min loss : 0.680245 +[17:09:57] Total time : 3:25:34 +[17:09:57] Output : RESULTS/flicker8k/run_003 +[17:09:57] ============================================================ diff --git a/flicker8k/sana 1.6/RAd/training_args.json b/flicker8k/sana 1.6/RAd/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..eba6496d602860d57e6b785dbe90d9e4ee25bb29 --- /dev/null +++ b/flicker8k/sana 1.6/RAd/training_args.json @@ -0,0 +1,55 @@ +{ + "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers", + "revision": null, + "variant": null, + "cache_dir": null, + "data_dir": "../data/flicker8k", + "caption_file_train": "caption_train.json", + "caption_file_val": "caption_val.json", + "images_dir": "images", + "max_captions_per_image": 5, + "results_root": "RESULTS", + "seed": 42, + "resolution": 512, + "train_batch_size": 8, + "max_train_steps": 10000, + "num_train_epochs": 3, + "gradient_accumulation_steps": 1, + "gradient_checkpointing": true, + "learning_rate": 0.0001, + "scale_lr": false, + "lr_scheduler": "constant_with_warmup", + "lr_warmup_steps": 500, + "lr_num_cycles": 1, + "optimizer": "AdamW", + "adam_beta1": 0.9, + "adam_beta2": 0.999, + "adam_weight_decay": 0.01, + "adam_epsilon": 1e-08, + "max_grad_norm": 1.0, + "mixed_precision": "bf16", + "allow_tf32": false, + "checkpointing_steps": 2000, + "checkpoints_total_limit": 3, + "resume_from_checkpoint": null, + "validation_steps": 1000, + "validation_prompts_file": null, + "log_every_n_steps": 50, + "weighting_scheme": "logit_normal", + "logit_mean": 0.0, + "logit_std": 1.0, + "mode_scale": 1.29, + "max_sequence_length": 300, + "advantage_temperature": 0.1, + "curriculum_steps": 5000, + "max_timestep_delta": 300, + "use_tam": true, + "tam_alpha": 0.9, + "tam_factor": 0.5, + "tam_log_steps": 500, + "use_sad": true, + "sad_temperature": 0.5, + "dataloader_num_workers": 4, + "pin_memory": false, + "output_dir": "RESULTS/flicker8k/run_003" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/RAd/training_summary.json b/flicker8k/sana 1.6/RAd/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e9e6150cc2ee9c01ec52e14d69f6731e56b46c92 --- /dev/null +++ b/flicker8k/sana 1.6/RAd/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.9736830592155457, + "avg_last_100": 0.8891655939817429, + "min_loss": 0.6802446842193604, + "total_time": "3:25:34" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/SRA/model_index.json b/flicker8k/sana 1.6/SRA/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 1.6/SRA/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 1.6/SRA/training.log b/flicker8k/sana 1.6/SRA/training.log new file mode 100644 index 0000000000000000000000000000000000000000..36054c54df1bce63cf513b69d09014a23ef7282d --- /dev/null +++ b/flicker8k/sana 1.6/SRA/training.log @@ -0,0 +1,280 @@ +Training started: 2026-08-13 05:45:54 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[05:45:54] Run directory: RESULTS/flicker8k/run_013 +[05:45:54] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[05:45:54] Loading pretrained SANA components ... +[05:46:26] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[05:46:26] Building SRA teacher (EMA copy of transformer) and projection head ... +[05:46:30] Alignment: student block 6 -> teacher block 14 (of 20) +[05:46:30] Time interval k ~ U(0, 0.2), teacher_t = clamp(student_t - k, 0, 1) +[05:46:30] Loss type: sml1, EMA decay: 0.9999 +[05:46:30] Align weight: progress-based decay (default) -- start_frac=0.15, span_frac=0.35 +[05:46:30] SRA projection head params: 20,077,120 +[05:46:30] Building dataset ... +[05:46:30] Step-based training: 10000 steps (~3 epochs over dataset) +[05:46:33] SRA teacher initialized (synced with student weights). +[05:46:33] +[05:46:33] ================================================================ +[05:46:33] Output dir = RESULTS/flicker8k/run_013 +[05:46:33] Num examples = 28315 +[05:46:33] Num epochs = 3 +[05:46:33] Batch/device = 8 +[05:46:33] Grad accum = 1 +[05:46:33] Effective BS = 8 +[05:46:33] Total optim steps = 10000 +[05:46:33] LR = 0.0001 +[05:46:33] Precision = bf16 +[05:46:33] Log every = 50 steps +[05:46:33] Validate every = 1000 steps +[05:46:33] Checkpoint every = 2000 steps +[05:46:33] ================================================================ +[05:46:33] + 50 | 0 | 2.542668 | 2.542668 | 1.00e-05 | 0:01:35 | 5:17:42 | Gen 0.975457 | Align 7.836058 + 100 | 0 | 2.172697 | 2.357682 | 2.00e-05 | 0:02:28 | 4:04:26 | Gen 0.797143 | Align 6.877769 + 150 | 0 | 2.332460 | 2.349275 | 3.00e-05 | 0:03:20 | 3:39:35 | Gen 0.868918 | Align 7.317712 + 200 | 0 | 2.354722 | 2.350637 | 4.00e-05 | 0:04:13 | 3:26:44 | Gen 0.910748 | Align 7.219872 + 250 | 0 | 2.443697 | 2.369249 | 5.00e-05 | 0:05:05 | 3:18:44 | Gen 0.948883 | Align 7.474070 + 300 | 0 | 2.482615 | 2.388143 | 6.00e-05 | 0:05:58 | 3:13:06 | Gen 0.991219 | Align 7.456984 + 350 | 0 | 2.396198 | 2.389294 | 7.00e-05 | 0:06:50 | 3:08:49 | Gen 1.018965 | Align 6.886163 + 400 | 0 | 2.030426 | 2.344436 | 8.00e-05 | 0:07:43 | 3:05:24 | Gen 0.910000 | Align 5.602132 + 450 | 0 | 1.994004 | 2.305499 | 9.00e-05 | 0:08:36 | 3:02:32 | Gen 0.899472 | Align 5.472661 + 500 | 0 | 2.117967 | 2.286746 | 1.00e-04 | 0:09:28 | 3:00:04 | Gen 0.948700 | Align 5.846337 + 550 | 0 | 2.089556 | 2.268819 | 1.00e-04 | 0:10:21 | 2:57:52 | Gen 0.922163 | Align 5.836963 + 600 | 0 | 2.085653 | 2.253555 | 1.00e-04 | 0:11:13 | 2:55:54 | Gen 0.901519 | Align 5.920674 + 650 | 0 | 2.173649 | 2.247409 | 9.99e-05 | 0:12:06 | 2:54:06 | Gen 0.984559 | Align 5.945450 + 700 | 0 | 1.734926 | 2.210803 | 9.99e-05 | 0:12:58 | 2:52:26 | Gen 0.736815 | Align 4.990555 + 750 | 0 | 1.938951 | 2.192679 | 9.98e-05 | 0:13:51 | 2:50:53 | Gen 0.867106 | Align 5.359225 + 800 | 0 | 1.912059 | 2.175141 | 9.98e-05 | 0:14:43 | 2:49:24 | Gen 0.827679 | Align 5.421899 + 850 | 0 | 1.910008 | 2.159545 | 9.97e-05 | 0:15:36 | 2:48:00 | Gen 0.865633 | Align 5.221872 + 900 | 0 | 1.907786 | 2.145558 | 9.96e-05 | 0:16:28 | 2:46:39 | Gen 0.852346 | Align 5.277204 + 950 | 0 | 1.994143 | 2.137589 | 9.94e-05 | 0:17:21 | 2:45:21 | Gen 0.934225 | Align 5.299590 + 1000 | 0 | 1.898751 | 2.125647 | 9.93e-05 | 0:18:14 | 2:44:06 | Gen 0.876773 | Align 5.109890 +[06:04:25] Generating 16 validation images ... +[06:04:40] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0001000.png + 1050 | 0 | 1.930820 | 2.116369 | 9.92e-05 | 0:19:42 | 2:48:02 | Gen 0.954066 | Align 4.883770 + 1100 | 0 | 2.021000 | 2.112034 | 9.90e-05 | 0:20:35 | 2:46:36 | Gen 0.947869 | Align 5.365654 + 1150 | 0 | 1.788597 | 2.097972 | 9.88e-05 | 0:21:28 | 2:45:12 | Gen 0.801106 | Align 4.937457 + 1200 | 0 | 2.006490 | 2.094160 | 9.87e-05 | 0:22:20 | 2:43:51 | Gen 0.938483 | Align 5.340031 + 1250 | 0 | 1.986459 | 2.089852 | 9.85e-05 | 0:23:13 | 2:42:32 | Gen 0.928172 | Align 5.291436 + 1300 | 0 | 2.027535 | 2.087455 | 9.83e-05 | 0:24:05 | 2:41:16 | Gen 0.952518 | Align 5.375084 + 1350 | 0 | 2.210648 | 2.092018 | 9.80e-05 | 0:24:58 | 2:40:01 | Gen 1.075204 | Align 5.677221 + 1400 | 0 | 2.072270 | 2.091313 | 9.78e-05 | 0:25:51 | 2:38:47 | Gen 0.948021 | Align 5.621246 + 1450 | 0 | 1.856700 | 2.083223 | 9.76e-05 | 0:26:43 | 2:37:35 | Gen 0.844130 | Align 5.062847 + 1500 | 0 | 2.032424 | 2.081529 | 9.73e-05 | 0:27:36 | 2:36:24 | Gen 0.957213 | Align 5.376055 + 1550 | 0 | 2.004905 | 2.079058 | 9.70e-05 | 0:28:28 | 2:35:15 | Gen 0.948890 | Align 5.453059 + 1600 | 0 | 1.729534 | 2.068135 | 9.67e-05 | 0:29:21 | 2:34:06 | Gen 0.810247 | Align 4.905768 + 1650 | 0 | 1.853354 | 2.061627 | 9.64e-05 | 0:30:13 | 2:32:58 | Gen 0.964100 | Align 4.904189 + 1700 | 0 | 1.837188 | 2.055025 | 9.61e-05 | 0:31:06 | 2:31:51 | Gen 0.950630 | Align 5.052829 + 1750 | 0 | 1.669612 | 2.044014 | 9.58e-05 | 0:31:58 | 2:30:45 | Gen 0.819798 | Align 5.005372 + 1800 | 0 | 1.789039 | 2.036931 | 9.55e-05 | 0:32:51 | 2:29:40 | Gen 0.937960 | Align 5.180458 + 1850 | 0 | 1.503602 | 2.022517 | 9.51e-05 | 0:33:43 | 2:28:36 | Gen 0.786603 | Align 4.510275 + 1900 | 0 | 1.511770 | 2.009076 | 9.47e-05 | 0:34:36 | 2:27:32 | Gen 0.810820 | Align 4.556768 + 1950 | 0 | 1.557455 | 1.997496 | 9.44e-05 | 0:35:29 | 2:26:29 | Gen 0.848749 | Align 4.761256 + 2000 | 0 | 1.711300 | 1.990341 | 9.40e-05 | 0:36:21 | 2:25:26 | Gen 0.944705 | Align 5.322401 +[06:22:33] Saved checkpoint -> RESULTS/flicker8k/run_013/checkpoint-2000 +[06:22:34] Generating 16 validation images ... +[06:22:48] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0002000.png + 2050 | 0 | 1.632740 | 1.981619 | 9.36e-05 | 0:37:51 | 2:26:49 | Gen 0.929048 | Align 5.049054 + 2100 | 0 | 1.614178 | 1.972870 | 9.32e-05 | 0:38:44 | 2:25:43 | Gen 0.925534 | Align 5.106316 + 2150 | 0 | 1.412485 | 1.959838 | 9.27e-05 | 0:39:36 | 2:24:38 | Gen 0.831684 | Align 4.450671 + 2200 | 0 | 1.547982 | 1.950478 | 9.23e-05 | 0:40:29 | 2:23:33 | Gen 0.904147 | Align 5.098697 + 2250 | 0 | 1.414254 | 1.938562 | 9.19e-05 | 0:41:22 | 2:22:29 | Gen 0.797670 | Align 5.046176 + 2300 | 0 | 1.596818 | 1.931133 | 9.14e-05 | 0:42:14 | 2:21:25 | Gen 0.992731 | Align 5.109225 + 2350 | 0 | 1.615904 | 1.924426 | 9.09e-05 | 0:43:07 | 2:20:22 | Gen 1.018229 | Align 5.224035 + 2400 | 0 | 1.483224 | 1.915234 | 9.05e-05 | 0:43:59 | 2:19:19 | Gen 0.906257 | Align 5.211682 + 2450 | 0 | 1.479113 | 1.906333 | 9.00e-05 | 0:44:52 | 2:18:16 | Gen 0.924834 | Align 5.174177 + 2500 | 0 | 1.265846 | 1.893524 | 8.95e-05 | 0:45:44 | 2:17:14 | Gen 0.782415 | Align 4.663732 + 2550 | 0 | 1.200052 | 1.879926 | 8.89e-05 | 0:46:37 | 2:16:13 | Gen 0.735438 | Align 4.632094 + 2600 | 0 | 1.241910 | 1.867657 | 8.84e-05 | 0:47:30 | 2:15:12 | Gen 0.783253 | Align 4.725615 + 2650 | 0 | 1.362386 | 1.858123 | 8.79e-05 | 0:48:22 | 2:14:11 | Gen 0.889380 | Align 5.036426 + 2700 | 0 | 1.342733 | 1.848579 | 8.73e-05 | 0:49:15 | 2:13:10 | Gen 0.893714 | Align 4.940904 + 2750 | 0 | 1.251389 | 1.837721 | 8.68e-05 | 0:50:07 | 2:12:10 | Gen 0.800481 | Align 5.127602 + 2800 | 0 | 1.465867 | 1.831081 | 8.62e-05 | 0:51:00 | 2:11:09 | Gen 1.019275 | Align 5.248363 + 2850 | 0 | 1.099382 | 1.818244 | 8.56e-05 | 0:51:53 | 2:10:10 | Gen 0.734831 | Align 4.427478 + 2900 | 0 | 1.232999 | 1.808154 | 8.51e-05 | 0:52:45 | 2:09:10 | Gen 0.861857 | Align 4.658273 + 2950 | 0 | 1.270869 | 1.799047 | 8.45e-05 | 0:53:38 | 2:08:11 | Gen 0.895374 | Align 4.870502 + 3000 | 0 | 1.285231 | 1.790483 | 8.39e-05 | 0:54:30 | 2:07:12 | Gen 0.940280 | Align 4.623953 +[06:40:34] Generating 16 validation images ... +[06:40:49] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0003000.png + 3050 | 0 | 1.232619 | 1.781338 | 8.33e-05 | 0:55:54 | 2:07:23 | Gen 0.885550 | Align 4.807923 + 3100 | 0 | 1.365615 | 1.774633 | 8.26e-05 | 0:56:47 | 2:06:23 | Gen 0.989521 | Align 5.384228 + 3150 | 0 | 1.216636 | 1.765776 | 8.20e-05 | 0:57:39 | 2:05:23 | Gen 0.897718 | Align 4.718361 + 3200 | 0 | 1.320065 | 1.758812 | 8.14e-05 | 0:58:32 | 2:04:23 | Gen 0.992249 | Align 5.012198 + 3250 | 0 | 1.068226 | 1.748187 | 8.07e-05 | 0:59:24 | 2:03:24 | Gen 0.767793 | Align 4.747142 + 3300 | 0 | 1.282538 | 1.741132 | 8.01e-05 | 1:00:17 | 2:02:24 | Gen 0.965124 | Align 5.183187 + 3350 | 0 | 1.226734 | 1.733454 | 7.94e-05 | 1:01:10 | 2:01:25 | Gen 0.918189 | Align 5.206843 + 3400 | 0 | 1.221007 | 1.725918 | 7.87e-05 | 1:02:02 | 2:00:26 | Gen 0.935374 | Align 4.981377 + 3450 | 0 | 1.179406 | 1.717998 | 7.80e-05 | 1:02:55 | 1:59:27 | Gen 0.885793 | Align 5.291797 + 3500 | 0 | 1.250925 | 1.711325 | 7.73e-05 | 1:03:47 | 1:58:29 | Gen 0.965167 | Align 5.322443 +[06:50:24] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 1.712556 --- + 3550 | 1 | 1.206484 | 1.704215 | 7.67e-05 | 1:04:40 | 1:57:29 | Gen 0.931965 | Align 5.284099 + 3600 | 1 | 1.056141 | 1.695214 | 7.59e-05 | 1:05:32 | 1:56:31 | Gen 0.815866 | Align 4.779613 + 3650 | 1 | 1.146737 | 1.687700 | 7.52e-05 | 1:06:25 | 1:55:33 | Gen 0.918948 | Align 4.682755 + 3700 | 1 | 1.256854 | 1.681878 | 7.45e-05 | 1:07:17 | 1:54:35 | Gen 1.027753 | Align 4.867223 + 3750 | 1 | 1.186738 | 1.675276 | 7.38e-05 | 1:08:10 | 1:53:37 | Gen 0.953933 | Align 5.111325 + 3800 | 1 | 1.138755 | 1.668217 | 7.31e-05 | 1:09:03 | 1:52:39 | Gen 0.941287 | Align 4.480463 + 3850 | 1 | 1.078706 | 1.660561 | 7.23e-05 | 1:09:55 | 1:51:42 | Gen 0.869700 | Align 4.900861 + 3900 | 1 | 1.056303 | 1.652814 | 7.16e-05 | 1:10:48 | 1:50:44 | Gen 0.851459 | Align 4.963897 + 3950 | 1 | 1.221075 | 1.647349 | 7.08e-05 | 1:11:40 | 1:49:47 | Gen 1.020830 | Align 5.014707 + 4000 | 1 | 1.112661 | 1.640665 | 7.01e-05 | 1:12:33 | 1:48:50 | Gen 0.919842 | Align 4.990209 +[06:58:44] Saved checkpoint -> RESULTS/flicker8k/run_013/checkpoint-4000 +[06:58:54] Generating 16 validation images ... +[06:59:09] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0004000.png + 4050 | 1 | 1.060906 | 1.633508 | 6.93e-05 | 1:14:13 | 1:49:02 | Gen 0.889685 | Align 4.579466 + 4100 | 1 | 1.099423 | 1.626995 | 6.86e-05 | 1:15:05 | 1:48:04 | Gen 0.912398 | Align 5.169420 + 4150 | 1 | 0.996813 | 1.619402 | 6.78e-05 | 1:15:58 | 1:47:05 | Gen 0.826274 | Align 4.871364 + 4200 | 1 | 1.108476 | 1.613320 | 6.70e-05 | 1:16:51 | 1:46:07 | Gen 0.944688 | Align 4.834971 + 4250 | 1 | 1.159214 | 1.607977 | 6.62e-05 | 1:17:43 | 1:45:09 | Gen 0.995435 | Align 4.996376 + 4300 | 1 | 1.008456 | 1.601006 | 6.55e-05 | 1:18:36 | 1:44:11 | Gen 0.861288 | Align 4.639792 + 4350 | 1 | 1.010102 | 1.594214 | 6.47e-05 | 1:19:28 | 1:43:13 | Gen 0.878488 | Align 4.288153 + 4400 | 1 | 1.098823 | 1.588585 | 6.39e-05 | 1:20:21 | 1:42:16 | Gen 0.957876 | Align 4.745845 + 4450 | 1 | 1.025965 | 1.582263 | 6.31e-05 | 1:21:13 | 1:41:18 | Gen 0.891066 | Align 4.694055 + 4500 | 1 | 0.987183 | 1.575651 | 6.23e-05 | 1:22:06 | 1:40:20 | Gen 0.858052 | Align 4.643620 + 4550 | 1 | 1.059834 | 1.569983 | 6.15e-05 | 1:22:58 | 1:39:23 | Gen 0.926304 | Align 4.962401 + 4600 | 1 | 0.989271 | 1.563671 | 6.07e-05 | 1:23:51 | 1:38:26 | Gen 0.864379 | Align 4.796597 + 4650 | 1 | 1.095222 | 1.558633 | 5.99e-05 | 1:24:43 | 1:37:29 | Gen 0.962635 | Align 5.262425 + 4700 | 1 | 1.034790 | 1.553061 | 5.90e-05 | 1:25:36 | 1:36:32 | Gen 0.913660 | Align 4.968457 + 4750 | 1 | 1.048047 | 1.547745 | 5.82e-05 | 1:26:28 | 1:35:35 | Gen 0.924371 | Align 5.242563 + 4800 | 1 | 0.973910 | 1.541767 | 5.74e-05 | 1:27:21 | 1:34:38 | Gen 0.853938 | Align 5.255552 + 4850 | 1 | 0.907396 | 1.535227 | 5.66e-05 | 1:28:14 | 1:33:41 | Gen 0.809811 | Align 4.417838 + 4900 | 1 | 0.974809 | 1.529509 | 5.58e-05 | 1:29:06 | 1:32:44 | Gen 0.869614 | Align 4.921634 + 4950 | 1 | 1.014918 | 1.524311 | 5.50e-05 | 1:29:58 | 1:31:48 | Gen 0.919142 | Align 4.630767 + 5000 | 1 | 0.996499 | 1.519033 | 5.41e-05 | 1:30:51 | 1:30:51 | Gen 0.891323 | Align 5.255368 +[07:16:53] Generating 16 validation images ... +[07:17:08] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0005000.png + 5050 | 1 | 0.953040 | 1.503137 | 5.33e-05 | 1:32:11 | 1:30:22 | Gen 0.862026 | Align 4.699756 + 5100 | 1 | 0.979727 | 1.491207 | 5.25e-05 | 1:33:04 | 1:29:25 | Gen 0.892394 | Align 4.660490 + 5150 | 1 | 1.145512 | 1.479337 | 5.17e-05 | 1:33:56 | 1:28:28 | Gen 1.050001 | Align 5.267421 + 5200 | 1 | 1.029148 | 1.466082 | 5.08e-05 | 1:34:49 | 1:27:31 | Gen 0.942444 | Align 4.941602 + 5250 | 1 | 0.951299 | 1.451158 | 5.00e-05 | 1:35:42 | 1:26:35 | Gen 0.868125 | Align 4.898907 + 5300 | 1 | 0.981650 | 1.436148 | 4.92e-05 | 1:36:34 | 1:25:38 | Gen 0.894962 | Align 5.276657 + 5350 | 1 | 0.980427 | 1.421990 | 4.83e-05 | 1:37:27 | 1:24:42 | Gen 0.898700 | Align 5.141055 + 5400 | 1 | 0.952948 | 1.411216 | 4.75e-05 | 1:38:19 | 1:23:45 | Gen 0.880155 | Align 4.732185 + 5450 | 1 | 0.927334 | 1.400549 | 4.67e-05 | 1:39:12 | 1:22:49 | Gen 0.853495 | Align 4.960682 + 5500 | 1 | 0.940715 | 1.388776 | 4.59e-05 | 1:40:04 | 1:21:53 | Gen 0.865831 | Align 5.199125 + 5550 | 1 | 0.826064 | 1.376141 | 4.50e-05 | 1:40:57 | 1:20:56 | Gen 0.759296 | Align 4.790690 + 5600 | 1 | 1.000244 | 1.365287 | 4.42e-05 | 1:41:50 | 1:20:00 | Gen 0.932467 | Align 5.025689 + 5650 | 1 | 0.900143 | 1.352552 | 4.34e-05 | 1:42:42 | 1:19:04 | Gen 0.839843 | Align 4.620773 + 5700 | 1 | 0.898793 | 1.344191 | 4.26e-05 | 1:43:35 | 1:18:08 | Gen 0.841932 | Align 4.502965 + 5750 | 1 | 0.936872 | 1.334170 | 4.18e-05 | 1:44:27 | 1:17:12 | Gen 0.879932 | Align 4.659982 + 5800 | 1 | 0.965580 | 1.324705 | 4.10e-05 | 1:45:20 | 1:16:16 | Gen 0.905100 | Align 5.115260 + 5850 | 1 | 0.946824 | 1.315073 | 4.01e-05 | 1:46:12 | 1:15:20 | Gen 0.887312 | Align 5.201669 + 5900 | 1 | 0.964725 | 1.305643 | 3.93e-05 | 1:47:05 | 1:14:25 | Gen 0.910542 | Align 4.894209 + 5950 | 1 | 0.975417 | 1.295456 | 3.85e-05 | 1:47:58 | 1:13:29 | Gen 0.919485 | Align 5.221306 + 6000 | 1 | 0.901818 | 1.285486 | 3.77e-05 | 1:48:50 | 1:12:33 | Gen 0.851649 | Align 4.839905 +[07:35:01] Saved checkpoint -> RESULTS/flicker8k/run_013/checkpoint-6000 +[07:35:09] Generating 16 validation images ... +[07:35:25] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0006000.png + 6050 | 1 | 0.842883 | 1.274607 | 3.69e-05 | 1:50:30 | 1:12:08 | Gen 0.797731 | Align 4.501591 + 6100 | 1 | 0.917357 | 1.263570 | 3.61e-05 | 1:51:22 | 1:11:12 | Gen 0.868186 | Align 5.066127 + 6150 | 1 | 0.852140 | 1.254206 | 3.53e-05 | 1:52:15 | 1:10:16 | Gen 0.808755 | Align 4.619465 + 6200 | 1 | 0.880531 | 1.242946 | 3.45e-05 | 1:53:08 | 1:09:20 | Gen 0.833782 | Align 5.144176 + 6250 | 1 | 0.763684 | 1.230719 | 3.38e-05 | 1:54:00 | 1:08:24 | Gen 0.723711 | Align 4.545642 + 6300 | 1 | 0.951223 | 1.219955 | 3.30e-05 | 1:54:53 | 1:07:28 | Gen 0.909631 | Align 4.887879 + 6350 | 1 | 0.876776 | 1.206617 | 3.22e-05 | 1:55:45 | 1:06:32 | Gen 0.836574 | Align 4.882579 + 6400 | 1 | 0.963949 | 1.195533 | 3.14e-05 | 1:56:38 | 1:05:36 | Gen 0.922836 | Align 5.160093 + 6450 | 1 | 0.953211 | 1.186499 | 3.07e-05 | 1:57:31 | 1:04:40 | Gen 0.916922 | Align 4.707012 + 6500 | 1 | 0.860366 | 1.174778 | 2.99e-05 | 1:58:23 | 1:03:44 | Gen 0.824726 | Align 4.777448 + 6550 | 1 | 0.870561 | 1.163435 | 2.92e-05 | 1:59:16 | 1:02:49 | Gen 0.836008 | Align 4.786588 + 6600 | 1 | 1.025073 | 1.156390 | 2.84e-05 | 2:00:08 | 1:01:53 | Gen 0.986991 | Align 5.451895 + 6650 | 1 | 0.989549 | 1.147752 | 2.77e-05 | 2:01:01 | 1:00:57 | Gen 0.954364 | Align 5.205565 + 6700 | 1 | 0.834666 | 1.137727 | 2.69e-05 | 2:01:53 | 1:00:02 | Gen 0.803001 | Align 4.841435 + 6750 | 1 | 1.007499 | 1.131106 | 2.62e-05 | 2:02:46 | 0:59:06 | Gen 0.974173 | Align 5.265841 + 6800 | 1 | 0.996648 | 1.123182 | 2.55e-05 | 2:03:38 | 0:58:11 | Gen 0.964121 | Align 5.311335 + 6850 | 1 | 0.887829 | 1.117024 | 2.48e-05 | 2:04:31 | 0:57:15 | Gen 0.856620 | Align 5.266688 + 6900 | 1 | 0.987970 | 1.111786 | 2.41e-05 | 2:05:24 | 0:56:20 | Gen 0.958127 | Align 5.204427 + 6950 | 1 | 0.914172 | 1.105353 | 2.33e-05 | 2:06:16 | 0:55:24 | Gen 0.886261 | Align 5.030477 + 7000 | 1 | 1.028137 | 1.098521 | 2.27e-05 | 2:07:09 | 0:54:29 | Gen 0.998786 | Align 5.466740 +[07:53:11] Generating 16 validation images ... +[07:53:25] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0007000.png + 7050 | 1 | 0.881280 | 1.091007 | 2.20e-05 | 2:08:29 | 0:53:45 | Gen 0.855568 | Align 4.949235 +[07:54:55] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 1.000540 --- + 7100 | 2 | 0.841326 | 1.083278 | 2.13e-05 | 2:09:21 | 0:52:50 | Gen 0.816824 | Align 4.874009 + 7150 | 2 | 0.997188 | 1.079125 | 2.06e-05 | 2:10:14 | 0:51:54 | Gen 0.972672 | Align 5.039748 + 7200 | 2 | 0.966187 | 1.073307 | 1.99e-05 | 2:11:06 | 0:50:59 | Gen 0.942981 | Align 4.930063 + 7250 | 2 | 0.982615 | 1.068991 | 1.93e-05 | 2:11:59 | 0:50:03 | Gen 0.957633 | Align 5.484992 + 7300 | 2 | 0.901557 | 1.062038 | 1.86e-05 | 2:12:52 | 0:49:08 | Gen 0.880172 | Align 4.852127 + 7350 | 2 | 0.976371 | 1.055643 | 1.80e-05 | 2:13:44 | 0:48:13 | Gen 0.954194 | Align 5.200016 + 7400 | 2 | 0.904305 | 1.049854 | 1.74e-05 | 2:14:37 | 0:47:17 | Gen 0.883727 | Align 4.986587 + 7450 | 2 | 0.933019 | 1.044393 | 1.67e-05 | 2:15:29 | 0:46:22 | Gen 0.912884 | Align 5.042370 + 7500 | 2 | 0.954394 | 1.041278 | 1.61e-05 | 2:16:22 | 0:45:27 | Gen 0.934851 | Align 5.057791 + 7550 | 2 | 1.004727 | 1.039325 | 1.55e-05 | 2:17:14 | 0:44:32 | Gen 0.983743 | Align 5.612276 + 7600 | 2 | 0.842619 | 1.035332 | 1.49e-05 | 2:18:07 | 0:43:37 | Gen 0.825526 | Align 4.724468 + 7650 | 2 | 0.894390 | 1.030652 | 1.44e-05 | 2:19:00 | 0:42:41 | Gen 0.878172 | Align 4.632505 + 7700 | 2 | 0.966446 | 1.026889 | 1.38e-05 | 2:19:52 | 0:41:46 | Gen 0.947497 | Align 5.593708 + 7750 | 2 | 0.895728 | 1.023333 | 1.32e-05 | 2:20:45 | 0:40:51 | Gen 0.878739 | Align 5.182916 + 7800 | 2 | 0.835409 | 1.017028 | 1.27e-05 | 2:21:37 | 0:39:56 | Gen 0.819829 | Align 4.911995 + 7850 | 2 | 0.889533 | 1.014930 | 1.21e-05 | 2:22:30 | 0:39:01 | Gen 0.873649 | Align 5.175049 + 7900 | 2 | 0.963562 | 1.012235 | 1.16e-05 | 2:23:22 | 0:38:06 | Gen 0.946904 | Align 5.609159 + 7950 | 2 | 0.993436 | 1.009461 | 1.11e-05 | 2:24:15 | 0:37:11 | Gen 0.978213 | Align 5.297361 + 8000 | 2 | 0.869684 | 1.005306 | 1.05e-05 | 2:25:08 | 0:36:17 | Gen 0.855655 | Align 5.045005 +[08:11:19] Saved checkpoint -> RESULTS/flicker8k/run_013/checkpoint-8000 +[08:11:22] Removed old checkpoint: checkpoint-2000 +[08:11:30] Generating 16 validation images ... +[08:11:45] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0008000.png + 8050 | 2 | 0.935100 | 1.002330 | 1.00e-05 | 2:26:49 | 0:35:34 | Gen 0.922105 | Align 4.829133 + 8100 | 2 | 0.956423 | 0.998238 | 9.55e-06 | 2:27:42 | 0:34:38 | Gen 0.941791 | Align 5.619257 + 8150 | 2 | 0.837315 | 0.994445 | 9.07e-06 | 2:28:34 | 0:33:43 | Gen 0.824601 | Align 5.046246 + 8200 | 2 | 0.927736 | 0.990522 | 8.60e-06 | 2:29:27 | 0:32:48 | Gen 0.915003 | Align 5.222843 + 8250 | 2 | 0.836367 | 0.988203 | 8.14e-06 | 2:30:20 | 0:31:53 | Gen 0.824043 | Align 5.223941 + 8300 | 2 | 0.880582 | 0.984184 | 7.70e-06 | 2:31:12 | 0:30:58 | Gen 0.869476 | Align 4.864971 + 8350 | 2 | 0.883629 | 0.980753 | 7.26e-06 | 2:32:05 | 0:30:03 | Gen 0.872835 | Align 4.886643 + 8400 | 2 | 0.865719 | 0.977200 | 6.84e-06 | 2:32:57 | 0:29:08 | Gen 0.855137 | Align 4.951144 + 8450 | 2 | 0.914027 | 0.974546 | 6.43e-06 | 2:33:50 | 0:28:13 | Gen 0.903156 | Align 5.255931 + 8500 | 2 | 0.789353 | 0.969930 | 6.03e-06 | 2:34:42 | 0:27:18 | Gen 0.780064 | Align 4.641862 + 8550 | 2 | 0.868576 | 0.966551 | 5.64e-06 | 2:35:35 | 0:26:23 | Gen 0.858772 | Align 5.062396 + 8600 | 2 | 0.943914 | 0.965429 | 5.26e-06 | 2:36:27 | 0:25:28 | Gen 0.934661 | Align 4.937812 + 8650 | 2 | 0.705129 | 0.961013 | 4.90e-06 | 2:37:20 | 0:24:33 | Gen 0.696544 | Align 4.734806 + 8700 | 2 | 0.909810 | 0.957542 | 4.55e-06 | 2:38:13 | 0:23:38 | Gen 0.901094 | Align 4.967082 + 8750 | 2 | 0.819636 | 0.953871 | 4.21e-06 | 2:39:05 | 0:22:43 | Gen 0.811456 | Align 4.818152 + 8800 | 2 | 0.922359 | 0.951708 | 3.89e-06 | 2:39:58 | 0:21:48 | Gen 0.913984 | Align 5.097750 + 8850 | 2 | 0.996551 | 0.950886 | 3.57e-06 | 2:40:50 | 0:20:54 | Gen 0.987924 | Align 5.427319 + 8900 | 2 | 0.988656 | 0.950209 | 3.27e-06 | 2:41:43 | 0:19:59 | Gen 0.980706 | Align 5.167912 + 8950 | 2 | 0.929470 | 0.947293 | 2.98e-06 | 2:42:35 | 0:19:04 | Gen 0.922046 | Align 4.987305 + 9000 | 2 | 0.983835 | 0.946005 | 2.71e-06 | 2:43:28 | 0:18:09 | Gen 0.976552 | Align 5.056557 +[08:29:31] Generating 16 validation images ... +[08:29:46] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0009000.png + 9050 | 2 | 0.842185 | 0.943818 | 2.45e-06 | 2:44:48 | 0:17:18 | Gen 0.835029 | Align 5.134270 + 9100 | 2 | 0.777203 | 0.940596 | 2.20e-06 | 2:45:40 | 0:16:23 | Gen 0.770849 | Align 4.711627 + 9150 | 2 | 0.998623 | 0.940614 | 1.96e-06 | 2:46:33 | 0:15:28 | Gen 0.991914 | Align 5.141409 + 9200 | 2 | 0.760356 | 0.937133 | 1.74e-06 | 2:47:26 | 0:14:33 | Gen 0.754485 | Align 4.649389 + 9250 | 2 | 0.993385 | 0.935474 | 1.53e-06 | 2:48:18 | 0:13:38 | Gen 0.987222 | Align 5.043797 + 9300 | 2 | 0.986012 | 0.935250 | 1.33e-06 | 2:49:11 | 0:12:44 | Gen 0.979592 | Align 5.429520 + 9350 | 2 | 0.871332 | 0.933862 | 1.15e-06 | 2:50:03 | 0:11:49 | Gen 0.865493 | Align 5.103920 + 9400 | 2 | 0.814769 | 0.931022 | 9.81e-07 | 2:50:56 | 0:10:54 | Gen 0.809511 | Align 4.749832 + 9450 | 2 | 0.838158 | 0.929144 | 8.25e-07 | 2:51:49 | 0:10:00 | Gen 0.832547 | Align 5.238057 + 9500 | 2 | 0.849520 | 0.927767 | 6.82e-07 | 2:52:41 | 0:09:05 | Gen 0.844704 | Align 4.645917 + 9550 | 2 | 0.986001 | 0.927029 | 5.53e-07 | 2:53:34 | 0:08:10 | Gen 0.980711 | Align 5.274630 + 9600 | 2 | 0.859943 | 0.925735 | 4.37e-07 | 2:54:26 | 0:07:16 | Gen 0.855092 | Align 4.998131 + 9650 | 2 | 0.953030 | 0.924313 | 3.35e-07 | 2:55:19 | 0:06:21 | Gen 0.947895 | Align 5.466845 + 9700 | 2 | 0.916906 | 0.923135 | 2.46e-07 | 2:56:12 | 0:05:26 | Gen 0.912284 | Align 5.085801 + 9750 | 2 | 0.901590 | 0.921670 | 1.71e-07 | 2:57:04 | 0:04:32 | Gen 0.897375 | Align 4.792438 + 9800 | 2 | 0.881530 | 0.920746 | 1.09e-07 | 2:57:57 | 0:03:37 | Gen 0.877433 | Align 4.815097 + 9850 | 2 | 0.916223 | 0.920835 | 6.15e-08 | 2:58:49 | 0:02:43 | Gen 0.911955 | Align 5.184212 + 9900 | 2 | 0.945136 | 0.920538 | 2.73e-08 | 2:59:42 | 0:01:48 | Gen 0.941048 | Align 5.131674 + 9950 | 2 | 0.817103 | 0.918560 | 6.83e-09 | 3:00:34 | 0:00:54 | Gen 0.813284 | Align 4.953939 + 10000 | 2 | 0.886508 | 0.917460 | 0.00e+00 | 3:01:27 | 0:00:00 | Gen 0.882802 | Align 4.967583 +[08:47:37] Saved checkpoint -> RESULTS/flicker8k/run_013/checkpoint-10000 +[08:47:40] Removed old checkpoint: checkpoint-4000 +[08:47:46] Generating 16 validation images ... +[08:48:01] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0010000.png +[08:48:02] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.909082 --- +[08:48:02] Saving final model ... +[08:48:13] Pipeline saved -> RESULTS/flicker8k/run_013 +[08:48:16] SRA teacher + projection head saved -> RESULTS/flicker8k/run_013/sra (both are training-only auxiliaries; not needed for inference) +[08:48:16] Generating final validation collage ... +[08:48:16] Generating 16 validation images ... +[08:48:30] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_013/validation/collage_step_0010000.png +[08:48:33] +[08:48:33] ============================================================ +[08:48:33] TRAINING SUMMARY +[08:48:33] ============================================================ +[08:48:33] Total steps : 200 +[08:48:33] Final loss : 0.886508 +[08:48:33] Avg last 100 : 0.917460 +[08:48:33] Min loss : 0.705129 +[08:48:33] Total time : 3:02:38 +[08:48:33] Output : RESULTS/flicker8k/run_013 +[08:48:33] ============================================================ diff --git a/flicker8k/sana 1.6/SRA/training_args.json b/flicker8k/sana 1.6/SRA/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..d570c3ee1cbd66900e752471500ab80fc3254fe7 --- /dev/null +++ b/flicker8k/sana 1.6/SRA/training_args.json @@ -0,0 +1,58 @@ +{ + "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers", + "revision": null, + "variant": null, + "cache_dir": null, + "data_dir": "../data/flicker8k", + "caption_file_train": "caption_train.json", + "caption_file_val": "caption_val.json", + "images_dir": "images", + "max_captions_per_image": 5, + "results_root": "RESULTS", + "seed": 42, + "resolution": 512, + "train_batch_size": 8, + "max_train_steps": 10000, + "num_train_epochs": 3, + "gradient_accumulation_steps": 1, + "gradient_checkpointing": false, + "learning_rate": 0.0001, + "scale_lr": false, + "lr_scheduler": "cosine", + "lr_warmup_steps": 500, + "lr_num_cycles": 1, + "optimizer": "AdamW", + "adam_beta1": 0.9, + "adam_beta2": 0.999, + "adam_weight_decay": 0.01, + "adam_epsilon": 1e-08, + "max_grad_norm": 1.0, + "mixed_precision": "bf16", + "allow_tf32": false, + "checkpointing_steps": 2000, + "checkpoints_total_limit": 3, + "resume_from_checkpoint": null, + "validation_steps": 1000, + "validation_prompts_file": null, + "log_every_n_steps": 50, + "weighting_scheme": "logit_normal", + "logit_mean": 0.0, + "logit_std": 1.0, + "mode_scale": 1.29, + "use_sra": true, + "sra_block_student": 6, + "sra_block_teacher": 14, + "sra_t_max": 0.2, + "sra_weighting": "progress", + "sra_decay_start_frac": 0.15, + "sra_decay_span_frac": 0.35, + "sra_lambda": 0.2, + "sra_epoch_decay_start": 99, + "sra_epoch_decay_span": 800, + "sra_loss_type": "sml1", + "sra_ema_decay": 0.9999, + "max_sequence_length": 256, + "dataloader_num_workers": 4, + "pin_memory": false, + "output_dir": "RESULTS/flicker8k/run_013" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/SRA/training_summary.json b/flicker8k/sana 1.6/SRA/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..065639b7202678e692e548150d7bcdc5e1c3929d --- /dev/null +++ b/flicker8k/sana 1.6/SRA/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.8865082263946533, + "avg_last_100": 0.9174597412347794, + "min_loss": 0.7051289677619934, + "total_time": "3:02:38" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/SpeeD/model_index.json b/flicker8k/sana 1.6/SpeeD/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 1.6/SpeeD/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 1.6/SpeeD/training.log b/flicker8k/sana 1.6/SpeeD/training.log new file mode 100644 index 0000000000000000000000000000000000000000..2ac643a7efa43e272c3530682f2bd5bec2291707 --- /dev/null +++ b/flicker8k/sana 1.6/SpeeD/training.log @@ -0,0 +1,274 @@ +Training started: 2026-08-07 13:39:09 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[13:39:09] Run directory: RESULTS/flicker8k/run_010 +[13:39:09] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[13:39:09] Loading pretrained SANA components ... +[13:39:17] SpeeD-style sampling ENABLED: lam=0.6, tau=700, meaningful band=[113, 887) of 1000 +[13:39:26] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[13:39:26] Building dataset ... +[13:39:26] Step-based training: 10000 steps (~3 epochs over dataset) +[13:39:27] +[13:39:27] ================================================================ +[13:39:27] Output dir = RESULTS/flicker8k/run_010 +[13:39:27] Num examples = 28315 +[13:39:27] Num epochs = 3 +[13:39:27] Batch/device = 8 +[13:39:27] Grad accum = 1 +[13:39:27] Effective BS = 8 +[13:39:27] Total optim steps = 10000 +[13:39:27] LR = 0.0001 +[13:39:27] Precision = bf16 +[13:39:27] SpeeD = True +[13:39:27] Log every = 50 steps +[13:39:27] Validate every = 1000 steps +[13:39:27] Checkpoint every = 2000 steps +[13:39:27] ================================================================ +[13:39:27] + 50 | 0 | 0.872650 | 0.872650 | 1.00e-05 | 0:01:03 | 3:30:41 + 100 | 0 | 0.734601 | 0.803626 | 2.00e-05 | 0:01:47 | 2:56:48 + 150 | 0 | 0.720662 | 0.775971 | 3.00e-05 | 0:02:30 | 2:45:08 + 200 | 0 | 0.801242 | 0.782289 | 4.00e-05 | 0:03:14 | 2:39:01 + 250 | 0 | 0.824090 | 0.790649 | 5.00e-05 | 0:03:58 | 2:35:05 + 300 | 0 | 0.730801 | 0.780674 | 6.00e-05 | 0:04:42 | 2:32:13 + 350 | 0 | 0.757395 | 0.777349 | 7.00e-05 | 0:05:26 | 2:29:58 + 400 | 0 | 0.817521 | 0.782370 | 8.00e-05 | 0:06:10 | 2:28:05 + 450 | 0 | 0.761534 | 0.780055 | 9.00e-05 | 0:06:54 | 2:26:28 + 500 | 0 | 0.719941 | 0.774044 | 1.00e-04 | 0:07:38 | 2:25:02 + 550 | 0 | 0.762193 | 0.772966 | 1.00e-04 | 0:08:21 | 2:23:43 + 600 | 0 | 0.792844 | 0.774623 | 1.00e-04 | 0:09:05 | 2:22:30 + 650 | 0 | 0.772213 | 0.774437 | 9.99e-05 | 0:09:49 | 2:21:22 + 700 | 0 | 0.695224 | 0.768779 | 9.99e-05 | 0:10:33 | 2:20:17 + 750 | 0 | 0.739579 | 0.766833 | 9.98e-05 | 0:11:17 | 2:19:15 + 800 | 0 | 0.680062 | 0.761409 | 9.98e-05 | 0:12:01 | 2:18:15 + 850 | 0 | 0.766000 | 0.761680 | 9.97e-05 | 0:12:45 | 2:17:17 + 900 | 0 | 0.765015 | 0.761865 | 9.96e-05 | 0:13:29 | 2:16:20 + 950 | 0 | 0.861637 | 0.767116 | 9.94e-05 | 0:14:12 | 2:15:25 + 1000 | 0 | 0.684634 | 0.762992 | 9.93e-05 | 0:14:56 | 2:14:31 +[13:54:07] Generating 16 validation images ... +[13:54:21] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0001000.png + 1050 | 0 | 0.847889 | 0.767035 | 9.92e-05 | 0:15:57 | 2:15:57 + 1100 | 0 | 0.683920 | 0.763257 | 9.90e-05 | 0:16:40 | 2:14:57 + 1150 | 0 | 0.837399 | 0.766480 | 9.88e-05 | 0:17:24 | 2:13:59 + 1200 | 0 | 0.688345 | 0.763225 | 9.87e-05 | 0:18:08 | 2:13:03 + 1250 | 0 | 0.670894 | 0.759531 | 9.85e-05 | 0:18:52 | 2:12:07 + 1300 | 0 | 0.857094 | 0.763284 | 9.83e-05 | 0:19:36 | 2:11:12 + 1350 | 0 | 0.685494 | 0.760403 | 9.80e-05 | 0:20:20 | 2:10:18 + 1400 | 0 | 0.790789 | 0.761488 | 9.78e-05 | 0:21:04 | 2:09:25 + 1450 | 0 | 0.727183 | 0.760305 | 9.76e-05 | 0:21:48 | 2:08:33 + 1500 | 0 | 0.863832 | 0.763756 | 9.73e-05 | 0:22:31 | 2:07:41 + 1550 | 0 | 0.759353 | 0.763614 | 9.70e-05 | 0:23:15 | 2:06:49 + 1600 | 0 | 0.784791 | 0.764276 | 9.67e-05 | 0:23:59 | 2:05:58 + 1650 | 0 | 0.793644 | 0.765166 | 9.64e-05 | 0:24:43 | 2:05:07 + 1700 | 0 | 0.812896 | 0.766569 | 9.61e-05 | 0:25:27 | 2:04:17 + 1750 | 0 | 0.786292 | 0.767133 | 9.58e-05 | 0:26:11 | 2:03:28 + 1800 | 0 | 0.662069 | 0.764214 | 9.55e-05 | 0:26:55 | 2:02:38 + 1850 | 0 | 0.718211 | 0.762971 | 9.51e-05 | 0:27:39 | 2:01:49 + 1900 | 0 | 0.747259 | 0.762558 | 9.47e-05 | 0:28:23 | 2:01:00 + 1950 | 0 | 0.820028 | 0.764031 | 9.44e-05 | 0:29:07 | 2:00:12 + 2000 | 0 | 0.717308 | 0.762863 | 9.40e-05 | 0:29:50 | 1:59:23 +[14:09:14] Saved checkpoint -> RESULTS/flicker8k/run_010/checkpoint-2000 +[14:09:14] Generating 16 validation images ... +[14:09:28] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0002000.png + 2050 | 0 | 0.906955 | 0.766378 | 9.36e-05 | 0:31:02 | 2:00:24 + 2100 | 0 | 0.773275 | 0.766542 | 9.32e-05 | 0:31:46 | 1:59:32 + 2150 | 0 | 0.754198 | 0.766255 | 9.27e-05 | 0:32:30 | 1:58:41 + 2200 | 0 | 0.823899 | 0.767565 | 9.23e-05 | 0:33:14 | 1:57:51 + 2250 | 0 | 0.623029 | 0.764353 | 9.19e-05 | 0:33:58 | 1:57:00 + 2300 | 0 | 0.730687 | 0.763621 | 9.14e-05 | 0:34:42 | 1:56:10 + 2350 | 0 | 0.824685 | 0.764920 | 9.09e-05 | 0:35:26 | 1:55:21 + 2400 | 0 | 0.757031 | 0.764756 | 9.05e-05 | 0:36:09 | 1:54:31 + 2450 | 0 | 0.713160 | 0.763703 | 9.00e-05 | 0:36:53 | 1:53:42 + 2500 | 0 | 0.810686 | 0.764643 | 8.95e-05 | 0:37:37 | 1:52:53 + 2550 | 0 | 0.772444 | 0.764796 | 8.89e-05 | 0:38:21 | 1:52:04 + 2600 | 0 | 0.829717 | 0.766044 | 8.84e-05 | 0:39:05 | 1:51:15 + 2650 | 0 | 0.740216 | 0.765557 | 8.79e-05 | 0:39:49 | 1:50:26 + 2700 | 0 | 0.730654 | 0.764910 | 8.73e-05 | 0:40:33 | 1:49:38 + 2750 | 0 | 0.841517 | 0.766303 | 8.68e-05 | 0:41:17 | 1:48:50 + 2800 | 0 | 0.712741 | 0.765347 | 8.62e-05 | 0:42:00 | 1:48:02 + 2850 | 0 | 0.752951 | 0.765129 | 8.56e-05 | 0:42:44 | 1:47:14 + 2900 | 0 | 0.854504 | 0.766670 | 8.51e-05 | 0:43:28 | 1:46:26 + 2950 | 0 | 0.726390 | 0.765988 | 8.45e-05 | 0:44:12 | 1:45:39 + 3000 | 0 | 0.771429 | 0.766078 | 8.39e-05 | 0:44:56 | 1:44:51 +[14:24:06] Generating 16 validation images ... +[14:24:20] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0003000.png + 3050 | 0 | 0.578933 | 0.763010 | 8.33e-05 | 0:45:54 | 1:44:36 + 3100 | 0 | 0.690330 | 0.761838 | 8.26e-05 | 0:46:38 | 1:43:48 + 3150 | 0 | 0.759013 | 0.761793 | 8.20e-05 | 0:47:22 | 1:43:00 + 3200 | 0 | 0.592634 | 0.759150 | 8.14e-05 | 0:48:06 | 1:42:13 + 3250 | 0 | 0.753532 | 0.759064 | 8.07e-05 | 0:48:50 | 1:41:25 + 3300 | 0 | 0.759428 | 0.759069 | 8.01e-05 | 0:49:33 | 1:40:37 + 3350 | 0 | 0.801811 | 0.759707 | 7.94e-05 | 0:50:17 | 1:39:50 + 3400 | 0 | 0.931126 | 0.762228 | 7.87e-05 | 0:51:01 | 1:39:03 + 3450 | 0 | 0.883757 | 0.763989 | 7.80e-05 | 0:51:45 | 1:38:15 + 3500 | 0 | 0.750975 | 0.763803 | 7.73e-05 | 0:52:29 | 1:37:28 +[14:32:13] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.777993 --- + 3550 | 1 | 0.665700 | 0.762422 | 7.67e-05 | 0:53:12 | 1:36:41 + 3600 | 1 | 0.759092 | 0.762375 | 7.59e-05 | 0:53:56 | 1:35:54 + 3650 | 1 | 0.759211 | 0.762332 | 7.52e-05 | 0:54:40 | 1:35:07 + 3700 | 1 | 0.839997 | 0.763382 | 7.45e-05 | 0:55:24 | 1:34:20 + 3750 | 1 | 0.729380 | 0.762928 | 7.38e-05 | 0:56:08 | 1:33:33 + 3800 | 1 | 0.803941 | 0.763468 | 7.31e-05 | 0:56:52 | 1:32:47 + 3850 | 1 | 0.752246 | 0.763322 | 7.23e-05 | 0:57:35 | 1:32:00 + 3900 | 1 | 0.645897 | 0.761817 | 7.16e-05 | 0:58:19 | 1:31:14 + 3950 | 1 | 0.789855 | 0.762172 | 7.08e-05 | 0:59:03 | 1:30:27 + 4000 | 1 | 0.878202 | 0.763622 | 7.01e-05 | 0:59:47 | 1:29:41 +[14:39:10] Saved checkpoint -> RESULTS/flicker8k/run_010/checkpoint-4000 +[14:39:11] Generating 16 validation images ... +[14:39:25] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0004000.png + 4050 | 1 | 0.878174 | 0.765036 | 6.93e-05 | 1:00:59 | 1:29:36 + 4100 | 1 | 0.757982 | 0.764950 | 6.86e-05 | 1:01:43 | 1:28:49 + 4150 | 1 | 0.709042 | 0.764277 | 6.78e-05 | 1:02:27 | 1:28:02 + 4200 | 1 | 0.714780 | 0.763687 | 6.70e-05 | 1:03:11 | 1:27:15 + 4250 | 1 | 0.790450 | 0.764002 | 6.62e-05 | 1:03:55 | 1:26:28 + 4300 | 1 | 0.811095 | 0.764550 | 6.55e-05 | 1:04:39 | 1:25:42 + 4350 | 1 | 0.760326 | 0.764501 | 6.47e-05 | 1:05:22 | 1:24:55 + 4400 | 1 | 0.746864 | 0.764301 | 6.39e-05 | 1:06:06 | 1:24:08 + 4450 | 1 | 0.829821 | 0.765037 | 6.31e-05 | 1:06:50 | 1:23:22 + 4500 | 1 | 0.621192 | 0.763439 | 6.23e-05 | 1:07:34 | 1:22:35 + 4550 | 1 | 0.796653 | 0.763804 | 6.15e-05 | 1:08:18 | 1:21:49 + 4600 | 1 | 0.860414 | 0.764854 | 6.07e-05 | 1:09:02 | 1:21:02 + 4650 | 1 | 0.736049 | 0.764544 | 5.99e-05 | 1:09:46 | 1:20:16 + 4700 | 1 | 0.784257 | 0.764754 | 5.90e-05 | 1:10:30 | 1:19:30 + 4750 | 1 | 0.688241 | 0.763948 | 5.82e-05 | 1:11:14 | 1:18:44 + 4800 | 1 | 0.754289 | 0.763848 | 5.74e-05 | 1:11:58 | 1:17:57 + 4850 | 1 | 0.807638 | 0.764299 | 5.66e-05 | 1:12:41 | 1:17:11 + 4900 | 1 | 0.885495 | 0.765536 | 5.58e-05 | 1:13:25 | 1:16:25 + 4950 | 1 | 0.792284 | 0.765806 | 5.50e-05 | 1:14:09 | 1:15:39 + 5000 | 1 | 0.725296 | 0.765401 | 5.41e-05 | 1:14:53 | 1:14:53 +[14:54:03] Generating 16 validation images ... +[14:54:17] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0005000.png + 5050 | 1 | 0.807987 | 0.764754 | 5.33e-05 | 1:15:52 | 1:14:21 + 5100 | 1 | 0.850282 | 0.765911 | 5.25e-05 | 1:16:35 | 1:13:35 + 5150 | 1 | 0.807056 | 0.766775 | 5.17e-05 | 1:17:19 | 1:12:49 + 5200 | 1 | 0.703198 | 0.765795 | 5.08e-05 | 1:18:03 | 1:12:03 + 5250 | 1 | 0.793907 | 0.765493 | 5.00e-05 | 1:18:47 | 1:11:17 + 5300 | 1 | 0.849445 | 0.766679 | 4.92e-05 | 1:19:31 | 1:10:31 + 5350 | 1 | 0.710662 | 0.766212 | 4.83e-05 | 1:20:15 | 1:09:45 + 5400 | 1 | 0.715322 | 0.765190 | 4.75e-05 | 1:20:59 | 1:08:59 + 5450 | 1 | 0.668833 | 0.764263 | 4.67e-05 | 1:21:43 | 1:08:13 + 5500 | 1 | 0.755709 | 0.764621 | 4.59e-05 | 1:22:26 | 1:07:27 + 5550 | 1 | 0.879308 | 0.765792 | 4.50e-05 | 1:23:10 | 1:06:41 + 5600 | 1 | 0.617760 | 0.764041 | 4.42e-05 | 1:23:54 | 1:05:55 + 5650 | 1 | 0.742457 | 0.763743 | 4.34e-05 | 1:24:38 | 1:05:09 + 5700 | 1 | 0.697936 | 0.763770 | 4.26e-05 | 1:25:22 | 1:04:24 + 5750 | 1 | 0.820766 | 0.764582 | 4.18e-05 | 1:26:06 | 1:03:38 + 5800 | 1 | 0.851112 | 0.766293 | 4.10e-05 | 1:26:50 | 1:02:52 + 5850 | 1 | 0.848676 | 0.767120 | 4.01e-05 | 1:27:34 | 1:02:07 + 5900 | 1 | 0.830012 | 0.767770 | 3.93e-05 | 1:28:18 | 1:01:21 + 5950 | 1 | 0.752727 | 0.766680 | 3.85e-05 | 1:29:01 | 1:00:36 + 6000 | 1 | 0.839606 | 0.768230 | 3.77e-05 | 1:29:45 | 0:59:50 +[15:09:09] Saved checkpoint -> RESULTS/flicker8k/run_010/checkpoint-6000 +[15:09:09] Generating 16 validation images ... +[15:09:23] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0006000.png + 6050 | 1 | 0.752242 | 0.767274 | 3.69e-05 | 1:30:57 | 0:59:23 + 6100 | 1 | 0.673078 | 0.767165 | 3.61e-05 | 1:31:41 | 0:58:37 + 6150 | 1 | 0.715608 | 0.765947 | 3.53e-05 | 1:32:24 | 0:57:51 + 6200 | 1 | 0.883223 | 0.767896 | 3.45e-05 | 1:33:08 | 0:57:05 + 6250 | 1 | 0.715192 | 0.768339 | 3.38e-05 | 1:33:52 | 0:56:19 + 6300 | 1 | 0.641080 | 0.766179 | 3.30e-05 | 1:34:36 | 0:55:33 + 6350 | 1 | 0.788507 | 0.767209 | 3.22e-05 | 1:35:20 | 0:54:48 + 6400 | 1 | 0.792793 | 0.767229 | 3.14e-05 | 1:36:04 | 0:54:02 + 6450 | 1 | 0.818418 | 0.768142 | 3.07e-05 | 1:36:48 | 0:53:16 + 6500 | 1 | 0.806019 | 0.767563 | 2.99e-05 | 1:37:32 | 0:52:31 + 6550 | 1 | 0.707486 | 0.767045 | 2.92e-05 | 1:38:15 | 0:51:45 + 6600 | 1 | 0.862675 | 0.767824 | 2.84e-05 | 1:38:59 | 0:50:59 + 6650 | 1 | 0.804183 | 0.767929 | 2.77e-05 | 1:39:43 | 0:50:14 + 6700 | 1 | 0.692207 | 0.766722 | 2.69e-05 | 1:40:27 | 0:49:28 + 6750 | 1 | 0.642450 | 0.765284 | 2.62e-05 | 1:41:11 | 0:48:43 + 6800 | 1 | 0.678286 | 0.765446 | 2.55e-05 | 1:41:55 | 0:47:57 + 6850 | 1 | 0.715009 | 0.765414 | 2.48e-05 | 1:42:39 | 0:47:12 + 6900 | 1 | 0.691197 | 0.764853 | 2.41e-05 | 1:43:23 | 0:46:26 + 6950 | 1 | 0.704927 | 0.763702 | 2.33e-05 | 1:44:07 | 0:45:41 + 7000 | 1 | 0.826510 | 0.764794 | 2.27e-05 | 1:44:51 | 0:44:56 +[15:24:01] Generating 16 validation images ... +[15:24:15] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0007000.png + 7050 | 1 | 0.684300 | 0.762568 | 2.20e-05 | 1:45:49 | 0:44:17 +[15:25:25] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.774831 --- + 7100 | 2 | 0.858353 | 0.763418 | 2.13e-05 | 1:46:33 | 0:43:31 + 7150 | 2 | 0.772709 | 0.763604 | 2.06e-05 | 1:47:17 | 0:42:45 + 7200 | 2 | 0.836099 | 0.763726 | 1.99e-05 | 1:48:01 | 0:42:00 + 7250 | 2 | 0.796993 | 0.765465 | 1.93e-05 | 1:48:45 | 0:41:15 + 7300 | 2 | 0.665857 | 0.764817 | 1.86e-05 | 1:49:28 | 0:40:29 + 7350 | 2 | 0.824448 | 0.764815 | 1.80e-05 | 1:50:12 | 0:39:44 + 7400 | 2 | 0.658350 | 0.763828 | 1.74e-05 | 1:50:56 | 0:38:58 + 7450 | 2 | 0.657564 | 0.763272 | 1.67e-05 | 1:51:40 | 0:38:13 + 7500 | 2 | 0.819149 | 0.763356 | 1.61e-05 | 1:52:24 | 0:37:28 + 7550 | 2 | 0.781016 | 0.763442 | 1.55e-05 | 1:53:08 | 0:36:42 + 7600 | 2 | 0.819601 | 0.763341 | 1.49e-05 | 1:53:52 | 0:35:57 + 7650 | 2 | 0.772009 | 0.763659 | 1.44e-05 | 1:54:36 | 0:35:12 + 7700 | 2 | 0.789409 | 0.764246 | 1.38e-05 | 1:55:20 | 0:34:27 + 7750 | 2 | 0.779352 | 0.763625 | 1.32e-05 | 1:56:04 | 0:33:41 + 7800 | 2 | 0.671196 | 0.763209 | 1.27e-05 | 1:56:48 | 0:32:56 + 7850 | 2 | 0.800718 | 0.763687 | 1.21e-05 | 1:57:31 | 0:32:11 + 7900 | 2 | 0.661901 | 0.761761 | 1.16e-05 | 1:58:15 | 0:31:26 + 7950 | 2 | 0.821913 | 0.762716 | 1.11e-05 | 1:58:59 | 0:30:41 + 8000 | 2 | 0.765434 | 0.762656 | 1.05e-05 | 1:59:43 | 0:29:55 +[15:39:07] Saved checkpoint -> RESULTS/flicker8k/run_010/checkpoint-8000 +[15:39:09] Removed old checkpoint: checkpoint-2000 +[15:39:10] Generating 16 validation images ... +[15:39:23] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0008000.png + 8050 | 2 | 0.792800 | 0.764795 | 1.00e-05 | 2:00:58 | 0:29:18 + 8100 | 2 | 0.807751 | 0.765969 | 9.55e-06 | 2:01:42 | 0:28:32 + 8150 | 2 | 0.807597 | 0.766455 | 9.07e-06 | 2:02:25 | 0:27:47 + 8200 | 2 | 0.698513 | 0.767514 | 8.60e-06 | 2:03:09 | 0:27:02 + 8250 | 2 | 0.755520 | 0.767534 | 8.14e-06 | 2:03:53 | 0:26:16 + 8300 | 2 | 0.776544 | 0.767705 | 7.70e-06 | 2:04:37 | 0:25:31 + 8350 | 2 | 0.807141 | 0.767758 | 7.26e-06 | 2:05:21 | 0:24:46 + 8400 | 2 | 0.782022 | 0.766267 | 6.84e-06 | 2:06:05 | 0:24:01 + 8450 | 2 | 0.731461 | 0.764744 | 6.43e-06 | 2:06:49 | 0:23:15 + 8500 | 2 | 0.796441 | 0.765199 | 6.03e-06 | 2:07:33 | 0:22:30 + 8550 | 2 | 0.775731 | 0.766299 | 5.64e-06 | 2:08:17 | 0:21:45 + 8600 | 2 | 0.804280 | 0.766751 | 5.26e-06 | 2:09:01 | 0:21:00 + 8650 | 2 | 0.741272 | 0.766572 | 4.90e-06 | 2:09:45 | 0:20:15 + 8700 | 2 | 0.866506 | 0.766837 | 4.55e-06 | 2:10:29 | 0:19:29 + 8750 | 2 | 0.639982 | 0.765943 | 4.21e-06 | 2:11:13 | 0:18:44 + 8800 | 2 | 0.775431 | 0.765658 | 3.89e-06 | 2:11:56 | 0:17:59 + 8850 | 2 | 0.804024 | 0.766175 | 3.57e-06 | 2:12:40 | 0:17:14 + 8900 | 2 | 0.797601 | 0.767692 | 3.27e-06 | 2:13:24 | 0:16:29 + 8950 | 2 | 0.806838 | 0.767862 | 2.98e-06 | 2:14:08 | 0:15:44 + 9000 | 2 | 0.742444 | 0.766505 | 2.71e-06 | 2:14:52 | 0:14:59 +[15:54:02] Generating 16 validation images ... +[15:54:16] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0009000.png + 9050 | 2 | 0.698667 | 0.764710 | 2.45e-06 | 2:15:50 | 0:14:15 + 9100 | 2 | 0.885385 | 0.765984 | 2.20e-06 | 2:16:34 | 0:13:30 + 9150 | 2 | 0.858050 | 0.767474 | 1.96e-06 | 2:17:18 | 0:12:45 + 9200 | 2 | 0.898360 | 0.769309 | 1.74e-06 | 2:18:02 | 0:12:00 + 9250 | 2 | 0.778325 | 0.769188 | 1.53e-06 | 2:18:46 | 0:11:15 + 9300 | 2 | 0.801475 | 0.769092 | 1.33e-06 | 2:19:30 | 0:10:30 + 9350 | 2 | 0.764412 | 0.769133 | 1.15e-06 | 2:20:14 | 0:09:44 + 9400 | 2 | 0.729707 | 0.768961 | 9.81e-07 | 2:20:58 | 0:08:59 + 9450 | 2 | 0.751253 | 0.768176 | 8.25e-07 | 2:21:42 | 0:08:14 + 9500 | 2 | 0.759917 | 0.769563 | 6.82e-07 | 2:22:26 | 0:07:29 + 9550 | 2 | 0.742831 | 0.769025 | 5.53e-07 | 2:23:09 | 0:06:44 + 9600 | 2 | 0.613934 | 0.766560 | 4.37e-07 | 2:23:53 | 0:05:59 + 9650 | 2 | 0.713983 | 0.766339 | 3.35e-07 | 2:24:37 | 0:05:14 + 9700 | 2 | 0.724651 | 0.765743 | 2.46e-07 | 2:25:21 | 0:04:29 + 9750 | 2 | 0.849272 | 0.767354 | 1.71e-07 | 2:26:05 | 0:03:44 + 9800 | 2 | 0.737367 | 0.767184 | 1.09e-07 | 2:26:49 | 0:02:59 + 9850 | 2 | 0.665547 | 0.765763 | 6.15e-08 | 2:27:33 | 0:02:14 + 9900 | 2 | 0.848362 | 0.765392 | 2.73e-08 | 2:28:17 | 0:01:29 + 9950 | 2 | 0.864097 | 0.766110 | 6.83e-09 | 2:29:01 | 0:00:44 + 10000 | 2 | 0.827851 | 0.767136 | 0.00e+00 | 2:29:44 | 0:00:00 +[16:09:07] Saved checkpoint -> RESULTS/flicker8k/run_010/checkpoint-10000 +[16:09:09] Removed old checkpoint: checkpoint-4000 +[16:09:10] Generating 16 validation images ... +[16:09:23] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0010000.png +[16:09:24] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.776679 --- +[16:09:24] Saving final model ... +[16:09:34] Pipeline saved -> RESULTS/flicker8k/run_010 +[16:09:34] Generating final validation collage ... +[16:09:34] Generating 16 validation images ... +[16:09:48] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_010/validation/collage_step_0010000.png +[16:09:48] +[16:09:48] ============================================================ +[16:09:48] TRAINING SUMMARY +[16:09:48] ============================================================ +[16:09:48] Total steps : 200 +[16:09:48] Final loss : 0.827851 +[16:09:48] Avg last 100 : 0.767136 +[16:09:48] Min loss : 0.578933 +[16:09:48] Total time : 2:30:39 +[16:09:48] Output : RESULTS/flicker8k/run_010 +[16:09:48] ============================================================ diff --git a/flicker8k/sana 1.6/SpeeD/training_args.json b/flicker8k/sana 1.6/SpeeD/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..858473513d7ebd3b45901111d999c463d6edd334 --- /dev/null +++ b/flicker8k/sana 1.6/SpeeD/training_args.json @@ -0,0 +1,50 @@ +{ + "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers", + "revision": null, + "variant": null, + "cache_dir": null, + "data_dir": "../data/flicker8k", + "caption_file_train": "caption_train.json", + "caption_file_val": "caption_val.json", + "images_dir": "images", + "max_captions_per_image": 5, + "results_root": "RESULTS", + "seed": 42, + "resolution": 512, + "train_batch_size": 8, + "max_train_steps": 10000, + "num_train_epochs": 3, + "gradient_accumulation_steps": 1, + "gradient_checkpointing": false, + "learning_rate": 0.0001, + "scale_lr": false, + "lr_scheduler": "cosine", + "lr_warmup_steps": 500, + "lr_num_cycles": 1, + "optimizer": "AdamW", + "adam_beta1": 0.9, + "adam_beta2": 0.999, + "adam_weight_decay": 0.01, + "adam_epsilon": 1e-08, + "max_grad_norm": 1.0, + "mixed_precision": "bf16", + "allow_tf32": false, + "checkpointing_steps": 2000, + "checkpoints_total_limit": 3, + "resume_from_checkpoint": null, + "validation_steps": 1000, + "validation_prompts_file": null, + "log_every_n_steps": 50, + "weighting_scheme": "logit_normal", + "logit_mean": 0.0, + "logit_std": 1.0, + "mode_scale": 1.29, + "speed_faster": true, + "speed_lam": 0.6, + "speed_tau": 700, + "speed_floor": 0.1, + "max_sequence_length": 256, + "dataloader_num_workers": 4, + "pin_memory": false, + "output_dir": "RESULTS/flicker8k/run_010" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/SpeeD/training_summary.json b/flicker8k/sana 1.6/SpeeD/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..00314f0389cba0d85fdc3a222b4e792b47314b42 --- /dev/null +++ b/flicker8k/sana 1.6/SpeeD/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.8278505206108093, + "avg_last_100": 0.7671357315778732, + "min_loss": 0.5789326429367065, + "total_time": "2:30:39" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/TD/checkpoint-10000/transformer/config.json b/flicker8k/sana 1.6/TD/checkpoint-10000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..78fa08370aa526b0ef4ac416a7f176d967ac2da4 --- /dev/null +++ b/flicker8k/sana 1.6/TD/checkpoint-10000/transformer/config.json @@ -0,0 +1,26 @@ +{ + "_class_name": "SanaTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers", + "attention_bias": false, + "attention_head_dim": 32, + "caption_channels": 2304, + "cross_attention_dim": 2240, + "cross_attention_head_dim": 112, + "dropout": 0.0, + "guidance_embeds": false, + "guidance_embeds_scale": 0.1, + "in_channels": 32, + "interpolation_scale": null, + "mlp_ratio": 2.5, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "num_attention_heads": 70, + "num_cross_attention_heads": 20, + "num_layers": 20, + "out_channels": 32, + "patch_size": 1, + "qk_norm": null, + "sample_size": 16, + "timestep_scale": 1.0 +} diff --git a/flicker8k/sana 1.6/TD/model_index.json b/flicker8k/sana 1.6/TD/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/flicker8k/sana 1.6/TD/model_index.json @@ -0,0 +1,24 @@ +{ + "_class_name": "SanaPipeline", + "_diffusers_version": "0.37.1", + "scheduler": [ + "diffusers", + "FlowMatchEulerDiscreteScheduler" + ], + "text_encoder": [ + "transformers", + "Gemma2Model" + ], + "tokenizer": [ + "transformers", + "GemmaTokenizer" + ], + "transformer": [ + "diffusers", + "SanaTransformer2DModel" + ], + "vae": [ + "diffusers", + "AutoencoderDC" + ] +} diff --git a/flicker8k/sana 1.6/TD/text_encoder/config.json b/flicker8k/sana 1.6/TD/text_encoder/config.json new file mode 100644 index 0000000000000000000000000000000000000000..8caf765a38d6b143f27b8326f4fd4b2d3c054613 --- /dev/null +++ b/flicker8k/sana 1.6/TD/text_encoder/config.json @@ -0,0 +1,68 @@ +{ + "architectures": [ + "Gemma2Model" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "attn_logit_softcapping": 50.0, + "bos_token_id": 2, + "cache_implementation": "hybrid", + "dtype": "bfloat16", + "eos_token_id": [ + 1, + 107 + ], + "final_logit_softcapping": 30.0, + "head_dim": 256, + "hidden_act": "gelu_pytorch_tanh", + "hidden_activation": "gelu_pytorch_tanh", + "hidden_size": 2304, + "initializer_range": 0.02, + "intermediate_size": 9216, + "layer_types": [ + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention", + "sliding_attention", + "full_attention" + ], + "max_position_embeddings": 8192, + "model_type": "gemma2", + "num_attention_heads": 8, + "num_hidden_layers": 26, + "num_key_value_heads": 4, + "pad_token_id": 0, + "query_pre_attn_scalar": 256, + "rms_norm_eps": 1e-06, + "rope_parameters": { + "rope_theta": 10000.0, + "rope_type": "default" + }, + "sliding_window": 4096, + "tie_word_embeddings": true, + "transformers_version": "5.9.0", + "use_bidirectional_attention": null, + "use_cache": true, + "vocab_size": 256000 +} diff --git a/flicker8k/sana 1.6/TD/tokenizer/chat_template.jinja b/flicker8k/sana 1.6/TD/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..923ec253c8dbefbb41cf084db7251df41d000f6d --- /dev/null +++ b/flicker8k/sana 1.6/TD/tokenizer/chat_template.jinja @@ -0,0 +1,4 @@ +{{ 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 %}{{ '' + role + ' +' + message['content'] | trim + ' +' }}{% endfor %}{% if add_generation_prompt %}{{'model +'}}{% endif %} \ No newline at end of file diff --git a/flicker8k/sana 1.6/TD/tokenizer/tokenizer_config.json b/flicker8k/sana 1.6/TD/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4cda396aa4050a6cb92d7a4c0297031eb80e6d --- /dev/null +++ b/flicker8k/sana 1.6/TD/tokenizer/tokenizer_config.json @@ -0,0 +1,20 @@ +{ + "backend": "tokenizers", + "bos_token": "", + "clean_up_tokenization_spaces": false, + "eos_token": "", + "extra_special_tokens": [ + "", + "" + ], + "is_local": false, + "local_files_only": false, + "mask_token": "", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "sp_model_kwargs": {}, + "spaces_between_special_tokens": false, + "tokenizer_class": "GemmaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +} diff --git a/flicker8k/sana 1.6/TD/training.log b/flicker8k/sana 1.6/TD/training.log new file mode 100644 index 0000000000000000000000000000000000000000..a053927c0592e736510b7c3d75f4c0b49030a2a5 --- /dev/null +++ b/flicker8k/sana 1.6/TD/training.log @@ -0,0 +1,474 @@ +Training started: 2026-08-10 09:33:49 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[09:33:49] Run directory: RESULTS/flicker8k/run_012 +[09:33:49] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[09:33:49] Loading pretrained SANA components ... +[09:34:08] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[09:34:08] 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) +[09:34:09] Building dataset ... +[09:34:09] Step-based training: 10000 steps (~3 epochs over dataset) +[09:34:10] +[09:34:10] ================================================================ +[09:34:10] Output dir = RESULTS/flicker8k/run_012 +[09:34:10] Num examples = 28315 +[09:34:10] Num epochs = 3 +[09:34:10] Batch/device = 8 +[09:34:10] Grad accum = 1 +[09:34:10] Effective BS = 8 +[09:34:10] Total optim steps = 10000 +[09:34:10] LR = 0.0001 +[09:34:10] Precision = bf16 +[09:34:10] TD = True +[09:34:10] Log every = 50 steps +[09:34:10] Validate every = 1000 steps +[09:34:10] Checkpoint every = 2000 steps +[09:34:10] ================================================================ +[09:34:10] + 50 | 0 | 0.882124 | 0.882124 | 1.00e-05 | 0:01:17 | 4:17:56 +[09:35:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000313 + 100 | 0 | 0.944348 | 0.913236 | 2.00e-05 | 0:02:10 | 3:35:06 +[09:35:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000202 + 150 | 0 | 0.847961 | 0.891478 | 3.00e-05 | 0:03:03 | 3:20:30 +[09:36:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000411 + 200 | 0 | 0.974658 | 0.912273 | 4.00e-05 | 0:03:56 | 3:12:50 +[09:37:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000295 + 250 | 0 | 0.931049 | 0.916028 | 5.00e-05 | 0:04:49 | 3:07:53 +[09:38:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000371 + 300 | 0 | 1.058146 | 0.939714 | 6.00e-05 | 0:05:42 | 3:04:19 +[09:39:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000140 + 350 | 0 | 0.955465 | 0.941964 | 7.00e-05 | 0:06:35 | 3:01:31 +[09:40:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000576 + 400 | 0 | 0.951988 | 0.943217 | 8.00e-05 | 0:07:27 | 2:59:10 +[09:41:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000329 + 450 | 0 | 0.865176 | 0.934546 | 9.00e-05 | 0:08:20 | 2:57:11 +[09:42:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000706 + 500 | 0 | 0.868667 | 0.927958 | 1.00e-04 | 0:09:14 | 2:55:27 +[09:43:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000219 + 550 | 0 | 0.850192 | 0.920889 | 1.00e-04 | 0:10:07 | 2:53:50 +[09:43:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000311 + 600 | 0 | 0.950672 | 0.923370 | 1.00e-04 | 0:11:00 | 2:52:21 +[09:44:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000360 + 650 | 0 | 1.018460 | 0.930685 | 9.99e-05 | 0:11:53 | 2:50:57 +[09:45:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000429 + 700 | 0 | 0.896868 | 0.928269 | 9.99e-05 | 0:12:46 | 2:49:37 +[09:46:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000237 + 750 | 0 | 0.933518 | 0.928619 | 9.98e-05 | 0:13:39 | 2:48:22 +[09:47:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000332 + 800 | 0 | 0.768247 | 0.918596 | 9.98e-05 | 0:14:32 | 2:47:09 +[09:48:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000371 + 850 | 0 | 0.807911 | 0.912085 | 9.97e-05 | 0:15:25 | 2:45:58 +[09:49:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000309 + 900 | 0 | 0.954684 | 0.914452 | 9.96e-05 | 0:16:18 | 2:44:49 +[09:50:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000348 + 950 | 0 | 0.986809 | 0.918260 | 9.94e-05 | 0:17:11 | 2:43:42 +[09:51:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000644 + 1000 | 0 | 0.806897 | 0.912692 | 9.93e-05 | 0:18:04 | 2:42:36 +[09:51:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000420 +[09:51:53] Generating 16 validation images ... +[09:52:07] Validation at step 1000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0001000.png + 1050 | 0 | 0.943211 | 0.914145 | 9.92e-05 | 0:19:14 | 2:43:57 +[09:53:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000536 + 1100 | 0 | 0.900978 | 0.913547 | 9.90e-05 | 0:20:07 | 2:42:46 +[09:53:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000095 + 1150 | 0 | 0.819874 | 0.909474 | 9.88e-05 | 0:21:00 | 2:41:37 +[09:54:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000598 + 1200 | 0 | 0.872119 | 0.907918 | 9.87e-05 | 0:21:53 | 2:40:28 +[09:55:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000358 + 1250 | 0 | 0.823525 | 0.904542 | 9.85e-05 | 0:22:46 | 2:39:22 +[09:56:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000405 + 1300 | 0 | 0.944527 | 0.906080 | 9.83e-05 | 0:23:39 | 2:38:16 +[09:57:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000410 + 1350 | 0 | 0.859345 | 0.904349 | 9.80e-05 | 0:24:31 | 2:37:11 +[09:58:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000374 + 1400 | 0 | 0.900057 | 0.904196 | 9.78e-05 | 0:25:24 | 2:36:07 +[09:59:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000239 + 1450 | 0 | 0.832393 | 0.901720 | 9.76e-05 | 0:26:17 | 2:35:04 +[10:00:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000345 + 1500 | 0 | 0.962144 | 0.903734 | 9.73e-05 | 0:27:10 | 2:34:01 +[10:00:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000363 + 1550 | 0 | 0.886972 | 0.903193 | 9.70e-05 | 0:28:03 | 2:32:59 +[10:01:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000267 + 1600 | 0 | 0.868412 | 0.902106 | 9.67e-05 | 0:28:56 | 2:31:57 +[10:02:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000330 + 1650 | 0 | 0.917140 | 0.902562 | 9.64e-05 | 0:29:49 | 2:30:56 +[10:03:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000547 + 1700 | 0 | 0.907885 | 0.902718 | 9.61e-05 | 0:30:42 | 2:29:56 +[10:04:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000320 + 1750 | 0 | 0.840723 | 0.900947 | 9.58e-05 | 0:31:35 | 2:28:56 +[10:05:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000329 + 1800 | 0 | 0.919355 | 0.901458 | 9.55e-05 | 0:32:28 | 2:27:56 +[10:06:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000179 + 1850 | 0 | 0.836978 | 0.899716 | 9.51e-05 | 0:33:21 | 2:26:57 +[10:07:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000300 + 1900 | 0 | 0.950883 | 0.901062 | 9.47e-05 | 0:34:14 | 2:25:58 +[10:08:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000118 + 1950 | 0 | 0.856226 | 0.899912 | 9.44e-05 | 0:35:07 | 2:24:59 +[10:08:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000245 + 2000 | 0 | 1.000685 | 0.902432 | 9.40e-05 | 0:36:00 | 2:24:00 +[10:09:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000141 +[10:10:02] Saved checkpoint -> RESULTS/flicker8k/run_012/checkpoint-2000 +[10:10:05] Generating 16 validation images ... +[10:10:19] Validation at step 2000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0002000.png + 2050 | 0 | 0.856891 | 0.901321 | 9.36e-05 | 0:37:25 | 2:25:06 +[10:11:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000547 + 2100 | 0 | 0.948742 | 0.902450 | 9.32e-05 | 0:38:18 | 2:24:04 +[10:12:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000416 + 2150 | 0 | 0.973164 | 0.904095 | 9.27e-05 | 0:39:10 | 2:23:03 +[10:13:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000284 + 2200 | 0 | 0.788287 | 0.901463 | 9.23e-05 | 0:40:03 | 2:22:02 +[10:13:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000367 + 2250 | 0 | 0.793087 | 0.899054 | 9.19e-05 | 0:40:56 | 2:21:02 +[10:14:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000228 + 2300 | 0 | 0.899696 | 0.899068 | 9.14e-05 | 0:41:49 | 2:20:02 +[10:15:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000629 + 2350 | 0 | 0.910699 | 0.899316 | 9.09e-05 | 0:42:42 | 2:19:02 +[10:16:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000307 + 2400 | 0 | 0.895061 | 0.899227 | 9.05e-05 | 0:43:35 | 2:18:02 +[10:17:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000283 + 2450 | 0 | 0.804667 | 0.897297 | 9.00e-05 | 0:44:28 | 2:17:03 +[10:18:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000235 + 2500 | 0 | 1.010948 | 0.899570 | 8.95e-05 | 0:45:21 | 2:16:03 +[10:19:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000457 + 2550 | 0 | 0.917033 | 0.899913 | 8.89e-05 | 0:46:14 | 2:15:04 +[10:20:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000423 + 2600 | 0 | 0.957831 | 0.901026 | 8.84e-05 | 0:47:06 | 2:14:05 +[10:20:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000158 + 2650 | 0 | 0.893036 | 0.900876 | 8.79e-05 | 0:47:59 | 2:13:07 +[10:21:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000385 + 2700 | 0 | 0.896578 | 0.900796 | 8.73e-05 | 0:48:52 | 2:12:09 +[10:22:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000130 + 2750 | 0 | 0.939944 | 0.901508 | 8.68e-05 | 0:49:45 | 2:11:11 +[10:23:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000408 + 2800 | 0 | 0.861435 | 0.900792 | 8.62e-05 | 0:50:38 | 2:10:14 +[10:24:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000364 + 2850 | 0 | 0.865206 | 0.900168 | 8.56e-05 | 0:51:31 | 2:09:16 +[10:25:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000280 + 2900 | 0 | 0.870085 | 0.899649 | 8.51e-05 | 0:52:24 | 2:08:19 +[10:26:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000433 + 2950 | 0 | 0.861832 | 0.899008 | 8.45e-05 | 0:53:17 | 2:07:22 +[10:27:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000346 + 3000 | 0 | 0.837304 | 0.897980 | 8.39e-05 | 0:54:10 | 2:06:25 +[10:27:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000355 +[10:28:01] Generating 16 validation images ... +[10:28:15] Validation at step 3000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0003000.png + 3050 | 0 | 0.883375 | 0.897740 | 8.33e-05 | 0:55:21 | 2:06:08 +[10:29:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000208 + 3100 | 0 | 0.777023 | 0.895793 | 8.26e-05 | 0:56:14 | 2:05:10 +[10:30:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000410 + 3150 | 0 | 0.961806 | 0.896841 | 8.20e-05 | 0:57:07 | 2:04:12 +[10:30:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000133 + 3200 | 0 | 0.820120 | 0.895642 | 8.14e-05 | 0:58:00 | 2:03:15 +[10:31:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000155 + 3250 | 0 | 0.908465 | 0.895840 | 8.07e-05 | 0:58:53 | 2:02:18 +[10:32:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000195 + 3300 | 0 | 0.824100 | 0.894753 | 8.01e-05 | 0:59:46 | 2:01:20 +[10:33:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000339 + 3350 | 0 | 0.968660 | 0.895856 | 7.94e-05 | 1:00:39 | 2:00:23 +[10:34:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000388 + 3400 | 0 | 0.930306 | 0.896362 | 7.87e-05 | 1:01:32 | 1:59:26 +[10:35:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000721 + 3450 | 0 | 0.880342 | 0.896130 | 7.80e-05 | 1:02:24 | 1:58:30 +[10:36:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000511 + 3500 | 0 | 0.956582 | 0.896994 | 7.73e-05 | 1:03:17 | 1:57:33 +[10:37:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000251 +[10:37:48] --- Epoch 0 complete | Steps: 3540 | Avg Loss: 0.898908 --- + 3550 | 1 | 0.855574 | 0.896411 | 7.67e-05 | 1:04:10 | 1:56:35 +[10:37:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000315 + 3600 | 1 | 0.917323 | 0.896701 | 7.59e-05 | 1:05:03 | 1:55:39 +[10:38:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000341 + 3650 | 1 | 0.909674 | 0.896879 | 7.52e-05 | 1:05:56 | 1:54:43 +[10:39:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000342 + 3700 | 1 | 0.857638 | 0.896348 | 7.45e-05 | 1:06:49 | 1:53:46 +[10:40:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000287 + 3750 | 1 | 0.949479 | 0.897057 | 7.38e-05 | 1:07:42 | 1:52:50 +[10:41:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000129 + 3800 | 1 | 0.945039 | 0.897688 | 7.31e-05 | 1:08:35 | 1:51:54 +[10:42:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000302 + 3850 | 1 | 0.998990 | 0.899004 | 7.23e-05 | 1:09:27 | 1:50:57 +[10:43:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000336 + 3900 | 1 | 0.870118 | 0.898633 | 7.16e-05 | 1:10:20 | 1:50:01 +[10:44:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000147 + 3950 | 1 | 0.896409 | 0.898605 | 7.08e-05 | 1:11:13 | 1:49:05 +[10:45:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000212 + 4000 | 1 | 0.900278 | 0.898626 | 7.01e-05 | 1:12:06 | 1:48:09 +[10:45:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000504 +[10:46:09] Saved checkpoint -> RESULTS/flicker8k/run_012/checkpoint-4000 +[10:46:12] Generating 16 validation images ... +[10:46:27] Validation at step 4000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0004000.png + 4050 | 1 | 0.951195 | 0.899275 | 6.93e-05 | 1:13:32 | 1:48:03 +[10:47:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000712 + 4100 | 1 | 1.028521 | 0.900851 | 6.86e-05 | 1:14:25 | 1:47:06 +[10:48:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000289 + 4150 | 1 | 0.937510 | 0.901293 | 6.78e-05 | 1:15:18 | 1:46:09 +[10:49:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000253 + 4200 | 1 | 0.906801 | 0.901359 | 6.70e-05 | 1:16:11 | 1:45:13 +[10:50:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000172 + 4250 | 1 | 0.819330 | 0.900394 | 6.62e-05 | 1:17:04 | 1:44:17 +[10:50:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000779 + 4300 | 1 | 0.868990 | 0.900028 | 6.55e-05 | 1:17:57 | 1:43:20 +[10:51:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000507 + 4350 | 1 | 0.888678 | 0.899898 | 6.47e-05 | 1:18:50 | 1:42:24 +[10:52:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000189 + 4400 | 1 | 0.899206 | 0.899890 | 6.39e-05 | 1:19:43 | 1:41:28 +[10:53:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000444 + 4450 | 1 | 0.877981 | 0.899644 | 6.31e-05 | 1:20:36 | 1:40:32 +[10:54:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000361 + 4500 | 1 | 0.955364 | 0.900263 | 6.23e-05 | 1:21:29 | 1:39:36 +[10:55:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000325 + 4550 | 1 | 0.881894 | 0.900061 | 6.15e-05 | 1:22:22 | 1:38:40 +[10:56:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000411 + 4600 | 1 | 0.870233 | 0.899737 | 6.07e-05 | 1:23:15 | 1:37:44 +[10:57:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000486 + 4650 | 1 | 0.919392 | 0.899948 | 5.99e-05 | 1:24:08 | 1:36:48 +[10:57:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000236 + 4700 | 1 | 0.908382 | 0.900038 | 5.90e-05 | 1:25:01 | 1:35:52 +[10:58:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000311 + 4750 | 1 | 0.788136 | 0.898860 | 5.82e-05 | 1:25:54 | 1:34:56 +[10:59:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000321 + 4800 | 1 | 0.895753 | 0.898828 | 5.74e-05 | 1:26:47 | 1:34:01 +[11:00:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000181 + 4850 | 1 | 0.916501 | 0.899010 | 5.66e-05 | 1:27:40 | 1:33:05 +[11:01:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000298 + 4900 | 1 | 0.923937 | 0.899264 | 5.58e-05 | 1:28:33 | 1:32:10 +[11:02:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000329 + 4950 | 1 | 0.866290 | 0.898931 | 5.50e-05 | 1:29:26 | 1:31:14 +[11:03:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000438 + 5000 | 1 | 0.874648 | 0.898688 | 5.41e-05 | 1:30:19 | 1:30:19 +[11:04:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000276 +[11:04:10] Generating 16 validation images ... +[11:04:24] Validation at step 5000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0005000.png + 5050 | 1 | 0.889269 | 0.898760 | 5.33e-05 | 1:31:30 | 1:29:41 +[11:05:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000457 + 5100 | 1 | 0.831094 | 0.897627 | 5.25e-05 | 1:32:22 | 1:28:45 +[11:06:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000231 + 5150 | 1 | 0.809493 | 0.897243 | 5.17e-05 | 1:33:15 | 1:27:49 +[11:07:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000623 + 5200 | 1 | 0.911140 | 0.896607 | 5.08e-05 | 1:34:08 | 1:26:54 +[11:07:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000235 + 5250 | 1 | 0.905805 | 0.896355 | 5.00e-05 | 1:35:01 | 1:25:58 +[11:08:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000364 + 5300 | 1 | 0.961262 | 0.895386 | 4.92e-05 | 1:35:54 | 1:25:03 +[11:09:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000441 + 5350 | 1 | 0.913773 | 0.894969 | 4.83e-05 | 1:36:47 | 1:24:07 +[11:10:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000354 + 5400 | 1 | 0.964344 | 0.895093 | 4.75e-05 | 1:37:40 | 1:23:12 +[11:11:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000224 + 5450 | 1 | 0.783476 | 0.894276 | 4.67e-05 | 1:38:33 | 1:22:17 +[11:12:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000229 + 5500 | 1 | 0.946251 | 0.895052 | 4.59e-05 | 1:39:26 | 1:21:21 +[11:13:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000324 + 5550 | 1 | 0.869877 | 0.895248 | 4.50e-05 | 1:40:19 | 1:20:26 +[11:14:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000430 + 5600 | 1 | 0.879424 | 0.894536 | 4.42e-05 | 1:41:12 | 1:19:31 +[11:15:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000253 + 5650 | 1 | 0.941381 | 0.893765 | 4.34e-05 | 1:42:05 | 1:18:36 +[11:15:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000111 + 5700 | 1 | 0.760215 | 0.892399 | 4.26e-05 | 1:42:58 | 1:17:41 +[11:16:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000326 + 5750 | 1 | 0.929531 | 0.892359 | 4.18e-05 | 1:43:51 | 1:16:46 +[11:17:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000520 + 5800 | 1 | 0.811068 | 0.892787 | 4.10e-05 | 1:44:44 | 1:15:51 +[11:18:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000519 + 5850 | 1 | 0.881105 | 0.893519 | 4.01e-05 | 1:45:37 | 1:14:56 +[11:19:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000296 + 5900 | 1 | 0.858365 | 0.892556 | 3.93e-05 | 1:46:30 | 1:14:01 +[11:20:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000309 + 5950 | 1 | 0.937411 | 0.892062 | 3.85e-05 | 1:47:23 | 1:13:06 +[11:21:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000289 + 6000 | 1 | 0.891516 | 0.892908 | 3.77e-05 | 1:48:17 | 1:12:11 +[11:22:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000406 +[11:22:20] Saved checkpoint -> RESULTS/flicker8k/run_012/checkpoint-6000 +[11:22:23] Generating 16 validation images ... +[11:22:38] Validation at step 6000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0006000.png + 6050 | 1 | 0.948311 | 0.892959 | 3.69e-05 | 1:49:45 | 1:11:39 +[11:23:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000330 + 6100 | 1 | 0.727143 | 0.891221 | 3.61e-05 | 1:50:38 | 1:10:44 +[11:24:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000621 + 6150 | 1 | 0.946708 | 0.892489 | 3.53e-05 | 1:51:31 | 1:09:49 +[11:25:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000307 + 6200 | 1 | 0.911225 | 0.892880 | 3.45e-05 | 1:52:24 | 1:08:53 +[11:26:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000618 + 6250 | 1 | 0.887566 | 0.893520 | 3.38e-05 | 1:53:17 | 1:07:58 +[11:27:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000140 + 6300 | 1 | 0.973586 | 0.893811 | 3.30e-05 | 1:54:10 | 1:07:03 +[11:27:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000310 + 6350 | 1 | 0.861398 | 0.893832 | 3.22e-05 | 1:55:03 | 1:06:08 +[11:28:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000827 + 6400 | 1 | 0.897587 | 0.893807 | 3.14e-05 | 1:55:57 | 1:05:13 +[11:29:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000255 + 6450 | 1 | 0.792103 | 0.893404 | 3.07e-05 | 1:56:50 | 1:04:18 +[11:30:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000264 + 6500 | 1 | 0.827356 | 0.892056 | 2.99e-05 | 1:57:43 | 1:03:23 +[11:31:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000552 + 6550 | 1 | 0.932968 | 0.892516 | 2.92e-05 | 1:58:36 | 1:02:28 +[11:32:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000206 + 6600 | 1 | 0.833295 | 0.892165 | 2.84e-05 | 1:59:29 | 1:01:33 +[11:33:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000608 + 6650 | 1 | 0.958417 | 0.892578 | 2.77e-05 | 2:00:22 | 1:00:38 +[11:34:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000326 + 6700 | 1 | 0.892978 | 0.892429 | 2.69e-05 | 2:01:15 | 0:59:43 +[11:35:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000385 + 6750 | 1 | 0.946593 | 0.893487 | 2.62e-05 | 2:02:08 | 0:58:48 +[11:35:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000160 + 6800 | 1 | 0.861037 | 0.892904 | 2.55e-05 | 2:03:01 | 0:57:53 +[11:36:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000350 + 6850 | 1 | 0.797857 | 0.892513 | 2.48e-05 | 2:03:53 | 0:56:58 +[11:37:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000172 + 6900 | 1 | 0.913420 | 0.892138 | 2.41e-05 | 2:04:46 | 0:56:03 +[11:38:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000257 + 6950 | 1 | 0.877903 | 0.892355 | 2.33e-05 | 2:05:39 | 0:55:08 +[11:39:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000200 + 7000 | 1 | 0.999542 | 0.892344 | 2.27e-05 | 2:06:32 | 0:54:14 +[11:40:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000614 +[11:40:24] Generating 16 validation images ... +[11:40:38] Validation at step 7000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0007000.png + 7050 | 1 | 0.955943 | 0.893334 | 2.20e-05 | 2:07:44 | 0:53:26 +[11:41:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000245 +[11:42:04] --- Epoch 1 complete | Steps: 3540 | Avg Loss: 0.894774 --- + 7100 | 2 | 0.852706 | 0.892374 | 2.13e-05 | 2:08:36 | 0:52:31 +[11:42:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000429 + 7150 | 2 | 0.895715 | 0.891599 | 2.06e-05 | 2:09:29 | 0:51:36 +[11:43:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000233 + 7200 | 2 | 0.926362 | 0.892980 | 1.99e-05 | 2:10:22 | 0:50:41 +[11:44:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000222 + 7250 | 2 | 0.970223 | 0.894751 | 1.93e-05 | 2:11:15 | 0:49:47 +[11:45:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000324 + 7300 | 2 | 0.979172 | 0.895546 | 1.86e-05 | 2:12:07 | 0:48:52 +[11:45:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000323 + 7350 | 2 | 0.913085 | 0.895570 | 1.80e-05 | 2:13:00 | 0:47:57 +[11:46:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000487 + 7400 | 2 | 0.659546 | 0.893215 | 1.74e-05 | 2:13:53 | 0:47:02 +[11:47:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000386 + 7450 | 2 | 0.829043 | 0.893459 | 1.67e-05 | 2:14:46 | 0:46:07 +[11:48:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000314 + 7500 | 2 | 0.835698 | 0.891706 | 1.61e-05 | 2:15:39 | 0:45:13 +[11:49:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000365 + 7550 | 2 | 0.770730 | 0.890243 | 1.55e-05 | 2:16:32 | 0:44:18 +[11:50:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000379 + 7600 | 2 | 0.951259 | 0.890177 | 1.49e-05 | 2:17:25 | 0:43:23 +[11:51:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000379 + 7650 | 2 | 0.848323 | 0.889730 | 1.44e-05 | 2:18:18 | 0:42:29 +[11:52:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000342 + 7700 | 2 | 0.867607 | 0.889441 | 1.38e-05 | 2:19:10 | 0:41:34 +[11:52:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000459 + 7750 | 2 | 0.912684 | 0.889168 | 1.32e-05 | 2:20:03 | 0:40:39 +[11:53:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000205 + 7800 | 2 | 0.926812 | 0.889822 | 1.27e-05 | 2:20:56 | 0:39:45 +[11:54:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000220 + 7850 | 2 | 0.918335 | 0.890353 | 1.21e-05 | 2:21:49 | 0:38:50 +[11:55:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000190 + 7900 | 2 | 0.913300 | 0.890785 | 1.16e-05 | 2:22:42 | 0:37:56 +[11:56:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000114 + 7950 | 2 | 0.895368 | 0.891120 | 1.11e-05 | 2:23:35 | 0:37:01 +[11:57:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000309 + 8000 | 2 | 0.814876 | 0.890896 | 1.05e-05 | 2:24:27 | 0:36:06 +[11:58:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000523 +[11:58:30] Saved checkpoint -> RESULTS/flicker8k/run_012/checkpoint-8000 +[11:58:30] Removed old checkpoint: checkpoint-2000 +[11:58:31] Generating 16 validation images ... +[11:58:45] Validation at step 8000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0008000.png + 8050 | 2 | 0.908822 | 0.891151 | 1.00e-05 | 2:25:50 | 0:35:19 +[11:59:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000415 + 8100 | 2 | 0.908437 | 0.892465 | 9.55e-06 | 2:26:42 | 0:34:24 +[12:00:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000239 + 8150 | 2 | 0.911758 | 0.891964 | 9.07e-06 | 2:27:35 | 0:33:30 +[12:01:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000312 + 8200 | 2 | 0.828478 | 0.892048 | 8.60e-06 | 2:28:28 | 0:32:35 +[12:02:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000213 + 8250 | 2 | 0.976748 | 0.892731 | 8.14e-06 | 2:29:21 | 0:31:40 +[12:03:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000208 + 8300 | 2 | 0.888192 | 0.893372 | 7.70e-06 | 2:30:14 | 0:30:46 +[12:04:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000437 + 8350 | 2 | 0.912258 | 0.892808 | 7.26e-06 | 2:31:07 | 0:29:51 +[12:04:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000559 + 8400 | 2 | 0.889158 | 0.892396 | 6.84e-06 | 2:32:00 | 0:28:57 +[12:05:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000401 + 8450 | 2 | 0.826493 | 0.891858 | 6.43e-06 | 2:32:53 | 0:28:02 +[12:06:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000467 + 8500 | 2 | 0.884462 | 0.891136 | 6.03e-06 | 2:33:46 | 0:27:08 +[12:07:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000493 + 8550 | 2 | 0.900098 | 0.891582 | 5.64e-06 | 2:34:39 | 0:26:13 +[12:08:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000284 + 8600 | 2 | 0.813879 | 0.890547 | 5.26e-06 | 2:35:32 | 0:25:19 +[12:09:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000237 + 8650 | 2 | 0.898918 | 0.890440 | 4.90e-06 | 2:36:25 | 0:24:24 +[12:10:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000277 + 8700 | 2 | 0.825480 | 0.890118 | 4.55e-06 | 2:37:18 | 0:23:30 +[12:11:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000510 + 8750 | 2 | 0.869051 | 0.889314 | 4.21e-06 | 2:38:11 | 0:22:35 +[12:12:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000193 + 8800 | 2 | 0.905315 | 0.888917 | 3.89e-06 | 2:39:04 | 0:21:41 +[12:12:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000293 + 8850 | 2 | 0.835856 | 0.887285 | 3.57e-06 | 2:39:56 | 0:20:47 +[12:13:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000447 + 8900 | 2 | 0.824462 | 0.886829 | 3.27e-06 | 2:40:49 | 0:19:52 +[12:14:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000371 + 8950 | 2 | 0.961861 | 0.887483 | 2.98e-06 | 2:41:42 | 0:18:58 +[12:15:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000259 + 9000 | 2 | 0.885780 | 0.887338 | 2.71e-06 | 2:42:35 | 0:18:03 +[12:16:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000149 +[12:16:25] Generating 16 validation images ... +[12:16:39] Validation at step 9000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0009000.png + 9050 | 2 | 0.925978 | 0.887086 | 2.45e-06 | 2:43:44 | 0:17:11 +[12:17:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000231 + 9100 | 2 | 1.008036 | 0.886881 | 2.20e-06 | 2:44:37 | 0:16:16 +[12:18:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000588 + 9150 | 2 | 1.020782 | 0.887714 | 1.96e-06 | 2:45:30 | 0:15:22 +[12:19:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000455 + 9200 | 2 | 0.873291 | 0.887379 | 1.74e-06 | 2:46:23 | 0:14:28 +[12:20:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000363 + 9250 | 2 | 0.829156 | 0.887477 | 1.53e-06 | 2:47:15 | 0:13:33 +[12:21:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000261 + 9300 | 2 | 1.009012 | 0.888877 | 1.33e-06 | 2:48:08 | 0:12:39 +[12:21:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000430 + 9350 | 2 | 0.927545 | 0.889266 | 1.15e-06 | 2:49:01 | 0:11:45 +[12:22:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000495 + 9400 | 2 | 0.918860 | 0.889462 | 9.81e-07 | 2:49:54 | 0:10:50 +[12:23:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000308 + 9450 | 2 | 0.848342 | 0.889166 | 8.25e-07 | 2:50:47 | 0:09:56 +[12:24:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000281 + 9500 | 2 | 0.929120 | 0.888904 | 6.82e-07 | 2:51:40 | 0:09:02 +[12:25:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000218 + 9550 | 2 | 0.842430 | 0.888509 | 5.53e-07 | 2:52:33 | 0:08:07 +[12:26:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000226 + 9600 | 2 | 0.898799 | 0.888795 | 4.37e-07 | 2:53:26 | 0:07:13 +[12:27:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000210 + 9650 | 2 | 0.842297 | 0.888024 | 3.35e-07 | 2:54:19 | 0:06:19 +[12:28:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000340 + 9700 | 2 | 0.906083 | 0.888001 | 2.46e-07 | 2:55:12 | 0:05:25 +[12:29:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000308 + 9750 | 2 | 0.938044 | 0.889500 | 1.71e-07 | 2:56:05 | 0:04:30 +[12:29:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000412 + 9800 | 2 | 0.886695 | 0.889409 | 1.09e-07 | 2:56:57 | 0:03:36 +[12:30:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000246 + 9850 | 2 | 0.810029 | 0.888345 | 6.15e-08 | 2:57:50 | 0:02:42 +[12:31:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000439 + 9900 | 2 | 0.913330 | 0.888238 | 2.73e-08 | 2:58:43 | 0:01:48 +[12:32:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000584 + 9950 | 2 | 0.948185 | 0.889057 | 6.83e-09 | 2:59:36 | 0:00:54 +[12:33:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000435 + 10000 | 2 | 0.985580 | 0.890167 | 0.00e+00 | 3:00:29 | 0:00:00 +[12:34:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000514 +[12:34:32] Saved checkpoint -> RESULTS/flicker8k/run_012/checkpoint-10000 +[12:34:32] Removed old checkpoint: checkpoint-4000 +[12:34:33] Generating 16 validation images ... +[12:34:47] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0010000.png +[12:34:48] --- Epoch 2 complete | Steps: 2920 | Avg Loss: 0.894450 --- +[12:34:48] Saving final model ... +[12:34:59] Pipeline saved -> RESULTS/flicker8k/run_012 +[12:34:59] Generating final validation collage ... +[12:34:59] Generating 16 validation images ... +[12:35:14] Validation at step 10000: generated 16 images -> RESULTS/flicker8k/run_012/validation/collage_step_0010000.png +[12:35:14] +[12:35:14] ============================================================ +[12:35:14] TRAINING SUMMARY +[12:35:14] ============================================================ +[12:35:14] Total steps : 200 +[12:35:14] Final loss : 0.985580 +[12:35:14] Avg last 100 : 0.890167 +[12:35:14] Min loss : 0.659546 +[12:35:14] Total time : 3:01:25 +[12:35:14] Output : RESULTS/flicker8k/run_012 +[12:35:14] ============================================================ diff --git a/flicker8k/sana 1.6/TD/training_args.json b/flicker8k/sana 1.6/TD/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..cdf08c01670d724bcd1d873448526ef0603f430f --- /dev/null +++ b/flicker8k/sana 1.6/TD/training_args.json @@ -0,0 +1,58 @@ +{ + "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers", + "revision": null, + "variant": null, + "cache_dir": null, + "data_dir": "../data/flicker8k", + "caption_file_train": "caption_train.json", + "caption_file_val": "caption_val.json", + "images_dir": "images", + "max_captions_per_image": 5, + "results_root": "RESULTS", + "seed": 42, + "resolution": 512, + "train_batch_size": 8, + "max_train_steps": 10000, + "num_train_epochs": 3, + "gradient_accumulation_steps": 1, + "gradient_checkpointing": false, + "learning_rate": 0.0001, + "scale_lr": false, + "lr_scheduler": "cosine", + "lr_warmup_steps": 500, + "lr_num_cycles": 1, + "optimizer": "AdamW", + "adam_beta1": 0.9, + "adam_beta2": 0.999, + "adam_weight_decay": 0.01, + "adam_epsilon": 1e-08, + "max_grad_norm": 1.0, + "mixed_precision": "bf16", + "allow_tf32": false, + "checkpointing_steps": 2000, + "checkpoints_total_limit": 3, + "resume_from_checkpoint": null, + "validation_steps": 1000, + "validation_prompts_file": null, + "log_every_n_steps": 50, + "weighting_scheme": "logit_normal", + "logit_mean": 0.0, + "logit_std": 1.0, + "mode_scale": 1.29, + "td_enable": true, + "td_k_idx": 1.0, + "td_one_idx": null, + "td_lambda": 1.0, + "td_weight": false, + "td_sigma_min": 0.001, + "td_sigma_max": 1.0, + "td_rho": 7.0, + "td_steps": 18, + "td_sigma_data": 1.0, + "td_ema_tau": 0.999, + "td_target_update_freq": 1, + "max_sequence_length": 256, + "dataloader_num_workers": 4, + "pin_memory": false, + "output_dir": "RESULTS/flicker8k/run_012" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/TD/training_summary.json b/flicker8k/sana 1.6/TD/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0645b7e1836c6090921bf7fd0bf53f403f2ce849 --- /dev/null +++ b/flicker8k/sana 1.6/TD/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.9855799674987793, + "avg_last_100": 0.8901667243242264, + "min_loss": 0.6595460176467896, + "total_time": "3:01:25" +} \ No newline at end of file diff --git a/flicker8k/sana 1.6/TD/transformer/config.json b/flicker8k/sana 1.6/TD/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..78fa08370aa526b0ef4ac416a7f176d967ac2da4 --- /dev/null +++ b/flicker8k/sana 1.6/TD/transformer/config.json @@ -0,0 +1,26 @@ +{ + "_class_name": "SanaTransformer2DModel", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers", + "attention_bias": false, + "attention_head_dim": 32, + "caption_channels": 2304, + "cross_attention_dim": 2240, + "cross_attention_head_dim": 112, + "dropout": 0.0, + "guidance_embeds": false, + "guidance_embeds_scale": 0.1, + "in_channels": 32, + "interpolation_scale": null, + "mlp_ratio": 2.5, + "norm_elementwise_affine": false, + "norm_eps": 1e-06, + "num_attention_heads": 70, + "num_cross_attention_heads": 20, + "num_layers": 20, + "out_channels": 32, + "patch_size": 1, + "qk_norm": null, + "sample_size": 16, + "timestep_scale": 1.0 +} diff --git a/flicker8k/sana 1.6/TD/vae/config.json b/flicker8k/sana 1.6/TD/vae/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b17f40262b3125bfb20f313d5fa50fbd2ba3451a --- /dev/null +++ b/flicker8k/sana 1.6/TD/vae/config.json @@ -0,0 +1,92 @@ +{ + "_class_name": "AutoencoderDC", + "_diffusers_version": "0.37.1", + "_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers", + "attention_head_dim": 32, + "decoder_act_fns": "silu", + "decoder_block_out_channels": [ + 128, + 256, + 512, + 512, + 1024, + 1024 + ], + "decoder_block_types": [ + "ResBlock", + "ResBlock", + "ResBlock", + "EfficientViTBlock", + "EfficientViTBlock", + "EfficientViTBlock" + ], + "decoder_conv_act_fn": "relu", + "decoder_in_shortcut": true, + "decoder_layers_per_block": [ + 3, + 3, + 3, + 3, + 3, + 3 + ], + "decoder_norm_types": "rms_norm", + "decoder_qkv_multiscales": [ + [], + [], + [], + [ + 5 + ], + [ + 5 + ], + [ + 5 + ] + ], + "downsample_block_type": "Conv", + "encoder_block_out_channels": [ + 128, + 256, + 512, + 512, + 1024, + 1024 + ], + "encoder_block_types": [ + "ResBlock", + "ResBlock", + "ResBlock", + "EfficientViTBlock", + "EfficientViTBlock", + "EfficientViTBlock" + ], + "encoder_layers_per_block": [ + 2, + 2, + 2, + 3, + 3, + 3 + ], + "encoder_out_shortcut": true, + "encoder_qkv_multiscales": [ + [], + [], + [], + [ + 5 + ], + [ + 5 + ], + [ + 5 + ] + ], + "in_channels": 3, + "latent_channels": 32, + "scaling_factor": 0.41407, + "upsample_block_type": "interpolate" +}