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0000000000000000000000000000000000000000..12fcf0581314592d9e8588c41c813b6fda58ba7d --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/Eval/eval.log.rank0 @@ -0,0 +1,62 @@ +[2026-07-27 02:30:41] [RANK-0] [INFO] Loading Sana pipeline from RESULTS/cub200/run_006 ... +[2026-07-27 02:30:47] [RANK-0] [INFO] Loading FID metric (torchmetrics, feature=2048) ... +[2026-07-27 02:30:48] [RANK-0] [INFO] Loading CLIP (ViT-B/32) ... +[2026-07-27 02:30:49] [RANK-0] [INFO] Loading LPIPS ... +[2026-07-27 02:30:50] [RANK-0] [INFO] Loading PickScore ... +[2026-07-27 02:30:57] [RANK-0] [INFO] Loading HPSv2 (v2.0) ... +[2026-07-27 02:31:05] [RANK-0] [INFO] Loading HPSv2.1 (v2.1) ... +[2026-07-27 02:31:12] [RANK-0] [INFO] Loading Aesthetic scorer ... +[2026-07-27 02:31:15] [RANK-0] [INFO] Dataset: 17685 samples split across 3 GPUs (~369 batches/rank) +[2026-07-27 02:31:15] [RANK-0] [INFO] Starting evaluation... +[2026-07-27 02:31:15] [RANK-0] [INFO] Checkpoint : RESULTS/cub200/run_006 +[2026-07-27 02:31:15] [RANK-0] [INFO] Total samples: 17685 | World size: 3 +[2026-07-27 02:31:15] [RANK-0] [INFO] FID dim : 2048 | Inf steps: 20 | Guidance: 5.0 +[2026-07-27 02:31:15] [RANK-0] [INFO] Saving generated images to: ./RESULTS/cub200/run_006/Eval/generated_images +[2026-07-27 02:33:49] [RANK-0] [INFO] [rank 0] Batch [10/369] | CLIP 29.0682 | LPIPS 0.7677 | Pick 0.2221 | HPSv2 0.2951 | HPSv2.1 0.2848 | Aes 5.4083 +[2026-07-27 02:36:19] [RANK-0] [INFO] [rank 0] Batch [20/369] | CLIP 29.0890 | LPIPS 0.7693 | Pick 0.2223 | HPSv2 0.2959 | HPSv2.1 0.2862 | Aes 5.4163 +[2026-07-27 02:38:51] [RANK-0] [INFO] [rank 0] Batch [30/369] | CLIP 29.0861 | LPIPS 0.7645 | Pick 0.2225 | HPSv2 0.2959 | HPSv2.1 0.2868 | Aes 5.3951 +[2026-07-27 02:41:26] [RANK-0] [INFO] [rank 0] Batch [40/369] | CLIP 29.1551 | LPIPS 0.7675 | Pick 0.2226 | HPSv2 0.2960 | HPSv2.1 0.2870 | Aes 5.3878 +[2026-07-27 02:43:59] [RANK-0] [INFO] [rank 0] Batch [50/369] | CLIP 29.1250 | LPIPS 0.7700 | Pick 0.2226 | HPSv2 0.2961 | HPSv2.1 0.2872 | Aes 5.3889 +[2026-07-27 02:46:32] [RANK-0] [INFO] [rank 0] Batch [60/369] | CLIP 29.1276 | LPIPS 0.7690 | Pick 0.2228 | HPSv2 0.2967 | HPSv2.1 0.2879 | Aes 5.3930 +[2026-07-27 02:49:06] [RANK-0] [INFO] [rank 0] Batch [70/369] | CLIP 29.0769 | LPIPS 0.7673 | Pick 0.2226 | HPSv2 0.2963 | HPSv2.1 0.2872 | Aes 5.3957 +[2026-07-27 02:51:37] [RANK-0] [INFO] [rank 0] Batch [80/369] | CLIP 29.0708 | LPIPS 0.7675 | Pick 0.2225 | HPSv2 0.2961 | HPSv2.1 0.2868 | Aes 5.3917 +[2026-07-27 02:54:10] [RANK-0] [INFO] [rank 0] Batch [90/369] | CLIP 29.0958 | LPIPS 0.7657 | Pick 0.2225 | HPSv2 0.2962 | HPSv2.1 0.2871 | Aes 5.3918 +[2026-07-27 02:56:43] [RANK-0] [INFO] [rank 0] Batch [100/369] | CLIP 29.1147 | LPIPS 0.7657 | Pick 0.2225 | HPSv2 0.2963 | HPSv2.1 0.2871 | Aes 5.3887 +[2026-07-27 02:59:16] [RANK-0] [INFO] [rank 0] Batch [110/369] | CLIP 29.1356 | LPIPS 0.7661 | Pick 0.2225 | HPSv2 0.2964 | HPSv2.1 0.2872 | Aes 5.3885 +[2026-07-27 03:01:51] [RANK-0] [INFO] [rank 0] Batch [120/369] | CLIP 29.1560 | LPIPS 0.7668 | Pick 0.2225 | HPSv2 0.2963 | HPSv2.1 0.2872 | Aes 5.3859 +[2026-07-27 03:04:23] [RANK-0] [INFO] [rank 0] Batch [130/369] | CLIP 29.1656 | LPIPS 0.7665 | Pick 0.2227 | HPSv2 0.2966 | HPSv2.1 0.2877 | Aes 5.3886 +[2026-07-27 03:06:57] [RANK-0] [INFO] [rank 0] Batch [140/369] | CLIP 29.1752 | LPIPS 0.7661 | Pick 0.2228 | HPSv2 0.2967 | HPSv2.1 0.2880 | Aes 5.3920 +[2026-07-27 03:09:29] [RANK-0] [INFO] [rank 0] Batch [150/369] | CLIP 29.1784 | LPIPS 0.7665 | Pick 0.2227 | HPSv2 0.2966 | HPSv2.1 0.2878 | Aes 5.3901 +[2026-07-27 03:12:06] [RANK-0] [INFO] [rank 0] Batch [160/369] | CLIP 29.1669 | LPIPS 0.7669 | Pick 0.2227 | HPSv2 0.2965 | HPSv2.1 0.2876 | Aes 5.3905 +[2026-07-27 03:14:38] [RANK-0] [INFO] [rank 0] Batch [170/369] | CLIP 29.1787 | LPIPS 0.7675 | Pick 0.2227 | HPSv2 0.2965 | HPSv2.1 0.2877 | Aes 5.3925 +[2026-07-27 03:17:12] [RANK-0] [INFO] [rank 0] Batch [180/369] | CLIP 29.1727 | LPIPS 0.7678 | Pick 0.2226 | HPSv2 0.2965 | HPSv2.1 0.2875 | Aes 5.3904 +[2026-07-27 03:19:46] [RANK-0] [INFO] [rank 0] Batch [190/369] | CLIP 29.1849 | LPIPS 0.7675 | Pick 0.2227 | HPSv2 0.2965 | HPSv2.1 0.2875 | Aes 5.3905 +[2026-07-27 03:22:19] [RANK-0] [INFO] [rank 0] Batch [200/369] | CLIP 29.1750 | LPIPS 0.7681 | Pick 0.2226 | HPSv2 0.2964 | HPSv2.1 0.2874 | Aes 5.3900 +[2026-07-27 03:24:52] [RANK-0] [INFO] [rank 0] Batch [210/369] | CLIP 29.1599 | LPIPS 0.7686 | Pick 0.2226 | HPSv2 0.2964 | HPSv2.1 0.2873 | Aes 5.3912 +[2026-07-27 03:27:25] [RANK-0] [INFO] [rank 0] Batch [220/369] | CLIP 29.1546 | LPIPS 0.7691 | Pick 0.2226 | HPSv2 0.2964 | HPSv2.1 0.2873 | Aes 5.3908 +[2026-07-27 03:29:58] [RANK-0] [INFO] [rank 0] Batch [230/369] | CLIP 29.1461 | LPIPS 0.7694 | Pick 0.2226 | HPSv2 0.2964 | HPSv2.1 0.2873 | Aes 5.3922 +[2026-07-27 03:32:31] [RANK-0] [INFO] [rank 0] Batch [240/369] | CLIP 29.1370 | LPIPS 0.7694 | Pick 0.2225 | HPSv2 0.2963 | HPSv2.1 0.2872 | Aes 5.3930 +[2026-07-27 03:35:06] [RANK-0] [INFO] [rank 0] Batch [250/369] | CLIP 29.1325 | LPIPS 0.7698 | Pick 0.2225 | HPSv2 0.2962 | HPSv2.1 0.2870 | Aes 5.3924 +[2026-07-27 03:37:39] [RANK-0] [INFO] [rank 0] Batch [260/369] | CLIP 29.1288 | LPIPS 0.7700 | Pick 0.2225 | HPSv2 0.2963 | HPSv2.1 0.2871 | Aes 5.3918 +[2026-07-27 03:40:14] [RANK-0] [INFO] [rank 0] Batch [270/369] | CLIP 29.1330 | LPIPS 0.7698 | Pick 0.2225 | HPSv2 0.2963 | HPSv2.1 0.2872 | Aes 5.3919 +[2026-07-27 03:42:48] [RANK-0] [INFO] [rank 0] Batch [280/369] | CLIP 29.1321 | LPIPS 0.7699 | Pick 0.2225 | HPSv2 0.2963 | HPSv2.1 0.2872 | Aes 5.3930 +[2026-07-27 03:45:21] [RANK-0] [INFO] [rank 0] Batch [290/369] | CLIP 29.1308 | LPIPS 0.7703 | Pick 0.2224 | HPSv2 0.2963 | HPSv2.1 0.2872 | Aes 5.3924 +[2026-07-27 03:47:54] [RANK-0] [INFO] [rank 0] Batch [300/369] | CLIP 29.1353 | LPIPS 0.7706 | Pick 0.2224 | HPSv2 0.2962 | HPSv2.1 0.2871 | Aes 5.3921 +[2026-07-27 03:50:26] [RANK-0] [INFO] [rank 0] Batch [310/369] | CLIP 29.1415 | LPIPS 0.7706 | Pick 0.2224 | HPSv2 0.2963 | HPSv2.1 0.2872 | Aes 5.3934 +[2026-07-27 03:53:01] [RANK-0] [INFO] [rank 0] Batch [320/369] | CLIP 29.1366 | LPIPS 0.7706 | Pick 0.2224 | HPSv2 0.2963 | HPSv2.1 0.2872 | Aes 5.3941 +[2026-07-27 03:55:32] [RANK-0] [INFO] [rank 0] Batch [330/369] | CLIP 29.1273 | LPIPS 0.7706 | Pick 0.2224 | HPSv2 0.2962 | HPSv2.1 0.2872 | Aes 5.3945 +[2026-07-27 03:58:05] [RANK-0] [INFO] [rank 0] Batch [340/369] | CLIP 29.1268 | LPIPS 0.7708 | Pick 0.2224 | HPSv2 0.2962 | HPSv2.1 0.2872 | Aes 5.3940 +[2026-07-27 04:00:37] [RANK-0] [INFO] [rank 0] Batch [350/369] | CLIP 29.1204 | LPIPS 0.7708 | Pick 0.2224 | HPSv2 0.2962 | HPSv2.1 0.2871 | Aes 5.3941 +[2026-07-27 04:03:08] [RANK-0] [INFO] [rank 0] Batch [360/369] | CLIP 29.1260 | LPIPS 0.7707 | Pick 0.2224 | HPSv2 0.2963 | HPSv2.1 0.2872 | Aes 5.3938 +[2026-07-27 04:05:16] [RANK-0] [INFO] Finished feature extraction. Computing final FID... +[2026-07-27 04:05:19] [RANK-0] [INFO] Gathering other-metric results from all ranks ... +[2026-07-27 04:05:19] [RANK-0] [INFO] ============================================================ +[2026-07-27 04:05:19] [RANK-0] [INFO] FID : 21.008415 +[2026-07-27 04:05:19] [RANK-0] [INFO] CLIP : 29.104981 +[2026-07-27 04:05:19] [RANK-0] [INFO] LPIPS : 0.770981 +[2026-07-27 04:05:19] [RANK-0] [INFO] PickScore : 0.222385 +[2026-07-27 04:05:19] [RANK-0] [INFO] HPSv2 : 0.296180 +[2026-07-27 04:05:19] [RANK-0] [INFO] HPSv2.1 : 0.286915 +[2026-07-27 04:05:19] [RANK-0] [INFO] Aesthetic : 5.394159 +[2026-07-27 04:05:19] [RANK-0] [INFO] ============================================================ +[2026-07-27 04:05:19] [RANK-0] [INFO] Results saved to ./RESULTS/cub200/run_006/Eval/eval_results.json diff --git a/cub200/sana 1.6/Base 16.2k/Eval/eval.log.rank1 b/cub200/sana 1.6/Base 16.2k/Eval/eval.log.rank1 new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/cub200/sana 1.6/Base 16.2k/Eval/eval.log.rank2 b/cub200/sana 1.6/Base 16.2k/Eval/eval.log.rank2 new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/cub200/sana 1.6/Base 16.2k/Eval/eval_results.json b/cub200/sana 1.6/Base 16.2k/Eval/eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..0e15799d1a6b06b520e9ff02730488723c4546b1 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/Eval/eval_results.json @@ -0,0 +1,16 @@ +{ + "checkpoint": "RESULTS/cub200/run_006", + "num_samples": 17685, + "world_size": 3, + "resolution": 512, + "fid_dim": 2048, + "inf_steps": 20, + "guidance": 5.0, + "FID": 21.00841522216797, + "CLIP": 29.104981176359974, + "LPIPS": 0.7709811593674278, + "PickScore": 0.2223848455297934, + "HPSv2": 0.2961798899982868, + "HPSv2.1": 0.28691545974055555, + "Aesthetic": 5.394159171854793 +} \ No newline at end of file diff --git a/cub200/sana 1.6/Base 16.2k/checkpoint-12000/transformer/config.json b/cub200/sana 1.6/Base 16.2k/checkpoint-12000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..78fa08370aa526b0ef4ac416a7f176d967ac2da4 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/checkpoint-12000/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/cub200/sana 1.6/Base 16.2k/checkpoint-14000/transformer/config.json b/cub200/sana 1.6/Base 16.2k/checkpoint-14000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..78fa08370aa526b0ef4ac416a7f176d967ac2da4 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/checkpoint-14000/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/cub200/sana 1.6/Base 16.2k/checkpoint-16000/transformer/config.json b/cub200/sana 1.6/Base 16.2k/checkpoint-16000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..78fa08370aa526b0ef4ac416a7f176d967ac2da4 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/checkpoint-16000/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/cub200/sana 1.6/Base 16.2k/model_index.json b/cub200/sana 1.6/Base 16.2k/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/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/cub200/sana 1.6/Base 16.2k/scheduler/scheduler_config.json b/cub200/sana 1.6/Base 16.2k/scheduler/scheduler_config.json new file mode 100644 index 0000000000000000000000000000000000000000..438267411be16a289ebaf6964fbea7c4d11c15f8 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/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/cub200/sana 1.6/Base 16.2k/text_encoder/config.json b/cub200/sana 1.6/Base 16.2k/text_encoder/config.json new file mode 100644 index 0000000000000000000000000000000000000000..8caf765a38d6b143f27b8326f4fd4b2d3c054613 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/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/cub200/sana 1.6/Base 16.2k/tokenizer/chat_template.jinja b/cub200/sana 1.6/Base 16.2k/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..923ec253c8dbefbb41cf084db7251df41d000f6d --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/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/cub200/sana 1.6/Base 16.2k/tokenizer/tokenizer_config.json b/cub200/sana 1.6/Base 16.2k/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4cda396aa4050a6cb92d7a4c0297031eb80e6d --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/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/cub200/sana 1.6/Base 16.2k/training.log b/cub200/sana 1.6/Base 16.2k/training.log new file mode 100644 index 0000000000000000000000000000000000000000..f805c2661b2b49d3aa344e3be93ba6d70ab659d6 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/training.log @@ -0,0 +1,415 @@ +Training started: 2026-07-25 15:36:58 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[15:36:58] Run directory: RESULTS/cub200/run_006 +[15:36:58] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[15:36:58] Loading pretrained SANA components ... +[15:37:12] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[15:37:12] Building dataset ... +[15:37:12] Step-based training: 16200 steps (~4 epochs over dataset) +[15:37:13] +[15:37:13] ================================================================ +[15:37:13] Output dir = RESULTS/cub200/run_006 +[15:37:13] Num examples = 41255 +[15:37:13] Num epochs = 4 +[15:37:13] Batch/device = 8 +[15:37:13] Grad accum = 1 +[15:37:13] Effective BS = 8 +[15:37:13] Total optim steps = 16200 +[15:37:13] LR = 0.0001 +[15:37:13] Precision = bf16 +[15:37:13] Log every = 50 steps +[15:37:13] Validate every = 1000 steps +[15:37:13] Checkpoint every = 2000 steps +[15:37:13] ================================================================ +[15:37:13] + 50 | 0 | 0.828361 | 0.828361 | 1.00e-05 | 0:00:59 | 5:22:10 + 100 | 0 | 0.803143 | 0.815752 | 2.00e-05 | 0:01:43 | 4:37:56 + 150 | 0 | 0.802308 | 0.811271 | 3.00e-05 | 0:02:27 | 4:23:13 + 200 | 0 | 0.904912 | 0.834681 | 4.00e-05 | 0:03:11 | 4:15:32 + 250 | 0 | 0.709658 | 0.809676 | 5.00e-05 | 0:03:55 | 4:10:41 + 300 | 0 | 0.864783 | 0.818861 | 6.00e-05 | 0:04:39 | 4:07:14 + 350 | 0 | 0.812083 | 0.817893 | 7.00e-05 | 0:05:24 | 4:04:33 + 400 | 0 | 0.691432 | 0.802085 | 8.00e-05 | 0:06:08 | 4:02:22 + 450 | 0 | 0.591537 | 0.778691 | 9.00e-05 | 0:06:52 | 4:00:30 + 500 | 0 | 0.747338 | 0.775556 | 1.00e-04 | 0:07:36 | 3:58:52 + 550 | 0 | 0.788525 | 0.776735 | 1.00e-04 | 0:08:20 | 3:57:23 + 600 | 0 | 0.957672 | 0.791813 | 1.00e-04 | 0:09:04 | 3:56:03 + 650 | 0 | 0.794108 | 0.791989 | 1.00e-04 | 0:09:48 | 3:54:47 + 700 | 0 | 0.740203 | 0.788290 | 1.00e-04 | 0:10:33 | 3:53:36 + 750 | 0 | 0.753128 | 0.785946 | 9.99e-05 | 0:11:17 | 3:52:28 + 800 | 0 | 0.738379 | 0.782973 | 9.99e-05 | 0:12:01 | 3:51:24 + 850 | 0 | 0.884980 | 0.788974 | 9.99e-05 | 0:12:45 | 3:50:21 + 900 | 0 | 0.696436 | 0.783833 | 9.98e-05 | 0:13:29 | 3:49:21 + 950 | 0 | 0.890767 | 0.789461 | 9.98e-05 | 0:14:13 | 3:48:23 + 1000 | 0 | 0.737556 | 0.786866 | 9.97e-05 | 0:14:57 | 3:47:25 +[15:51:57] Generating 16 validation images ... +[15:52:11] Validation at step 1000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0001000.png + 1050 | 0 | 0.755395 | 0.785367 | 9.97e-05 | 0:15:57 | 3:50:10 + 1100 | 0 | 1.020346 | 0.796048 | 9.96e-05 | 0:16:41 | 3:49:05 + 1150 | 0 | 0.797199 | 0.796098 | 9.96e-05 | 0:17:25 | 3:48:01 + 1200 | 0 | 0.826611 | 0.797369 | 9.95e-05 | 0:18:09 | 3:46:59 + 1250 | 0 | 0.915114 | 0.802079 | 9.94e-05 | 0:18:53 | 3:45:59 + 1300 | 0 | 0.813347 | 0.802512 | 9.94e-05 | 0:19:37 | 3:44:59 + 1350 | 0 | 0.821529 | 0.803217 | 9.93e-05 | 0:20:21 | 3:44:01 + 1400 | 0 | 0.955087 | 0.808641 | 9.92e-05 | 0:21:06 | 3:43:04 + 1450 | 0 | 0.772388 | 0.807391 | 9.91e-05 | 0:21:50 | 3:42:08 + 1500 | 0 | 0.775814 | 0.806338 | 9.90e-05 | 0:22:34 | 3:41:12 + 1550 | 0 | 0.748297 | 0.804466 | 9.89e-05 | 0:23:18 | 3:40:18 + 1600 | 0 | 0.809895 | 0.804635 | 9.88e-05 | 0:24:02 | 3:39:23 + 1650 | 0 | 0.816776 | 0.805003 | 9.87e-05 | 0:24:46 | 3:38:30 + 1700 | 0 | 0.783491 | 0.804371 | 9.86e-05 | 0:25:30 | 3:37:37 + 1750 | 0 | 0.843969 | 0.805502 | 9.84e-05 | 0:26:14 | 3:36:44 + 1800 | 0 | 0.872510 | 0.807363 | 9.83e-05 | 0:26:59 | 3:35:52 + 1850 | 0 | 0.867032 | 0.808976 | 9.82e-05 | 0:27:43 | 3:35:00 + 1900 | 0 | 0.779594 | 0.808203 | 9.81e-05 | 0:28:27 | 3:34:09 + 1950 | 0 | 0.854925 | 0.809401 | 9.79e-05 | 0:29:11 | 3:33:18 + 2000 | 0 | 0.951306 | 0.812948 | 9.78e-05 | 0:29:55 | 3:32:28 +[16:07:08] Saved checkpoint -> RESULTS/cub200/run_006/checkpoint-2000 +[16:07:09] Generating 16 validation images ... +[16:07:23] Validation at step 2000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0002000.png + 2050 | 0 | 0.765182 | 0.811783 | 9.76e-05 | 0:31:08 | 3:34:58 + 2100 | 0 | 0.726024 | 0.809741 | 9.75e-05 | 0:31:52 | 3:34:02 + 2150 | 0 | 0.885953 | 0.811514 | 9.73e-05 | 0:32:36 | 3:33:07 + 2200 | 0 | 0.710333 | 0.809214 | 9.71e-05 | 0:33:20 | 3:32:13 + 2250 | 0 | 0.904784 | 0.811338 | 9.70e-05 | 0:34:05 | 3:31:19 + 2300 | 0 | 0.805653 | 0.811214 | 9.68e-05 | 0:34:49 | 3:30:25 + 2350 | 0 | 0.827696 | 0.811565 | 9.66e-05 | 0:35:33 | 3:29:32 + 2400 | 0 | 0.912166 | 0.813661 | 9.64e-05 | 0:36:17 | 3:28:40 + 2450 | 0 | 0.922834 | 0.815889 | 9.62e-05 | 0:37:01 | 3:27:47 + 2500 | 0 | 0.842392 | 0.816419 | 9.60e-05 | 0:37:45 | 3:26:55 + 2550 | 0 | 0.814556 | 0.816382 | 9.59e-05 | 0:38:29 | 3:26:04 + 2600 | 0 | 0.921553 | 0.818405 | 9.57e-05 | 0:39:13 | 3:25:12 + 2650 | 0 | 0.778442 | 0.817651 | 9.54e-05 | 0:39:57 | 3:24:21 + 2700 | 0 | 0.789762 | 0.817135 | 9.52e-05 | 0:40:42 | 3:23:30 + 2750 | 0 | 0.876674 | 0.818217 | 9.50e-05 | 0:41:26 | 3:22:39 + 2800 | 0 | 0.826144 | 0.818359 | 9.48e-05 | 0:42:10 | 3:21:49 + 2850 | 0 | 0.746267 | 0.817094 | 9.46e-05 | 0:42:54 | 3:20:59 + 2900 | 0 | 0.783074 | 0.816507 | 9.43e-05 | 0:43:38 | 3:20:09 + 2950 | 0 | 0.706170 | 0.814637 | 9.41e-05 | 0:44:22 | 3:19:19 + 3000 | 0 | 0.851588 | 0.815253 | 9.39e-05 | 0:45:06 | 3:18:29 +[16:22:06] Generating 16 validation images ... +[16:22:20] Validation at step 3000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0003000.png + 3050 | 0 | 0.846860 | 0.815771 | 9.36e-05 | 0:46:05 | 3:18:45 + 3100 | 0 | 0.754234 | 0.814779 | 9.34e-05 | 0:46:50 | 3:17:54 + 3150 | 0 | 0.858096 | 0.815466 | 9.31e-05 | 0:47:34 | 3:17:04 + 3200 | 0 | 0.903486 | 0.816842 | 9.29e-05 | 0:48:18 | 3:16:14 + 3250 | 0 | 0.814575 | 0.816807 | 9.26e-05 | 0:49:02 | 3:15:24 + 3300 | 0 | 0.684069 | 0.814795 | 9.24e-05 | 0:49:46 | 3:14:34 + 3350 | 0 | 0.816141 | 0.814816 | 9.21e-05 | 0:50:30 | 3:13:44 + 3400 | 0 | 0.745724 | 0.813800 | 9.18e-05 | 0:51:14 | 3:12:55 + 3450 | 0 | 0.727579 | 0.812550 | 9.15e-05 | 0:51:58 | 3:12:05 + 3500 | 0 | 0.788249 | 0.812203 | 9.13e-05 | 0:52:42 | 3:11:16 + 3550 | 0 | 0.837954 | 0.812565 | 9.10e-05 | 0:53:26 | 3:10:27 + 3600 | 0 | 0.843073 | 0.812989 | 9.07e-05 | 0:54:11 | 3:09:38 + 3650 | 0 | 0.862580 | 0.813669 | 9.04e-05 | 0:54:55 | 3:08:49 + 3700 | 0 | 0.882194 | 0.814595 | 9.01e-05 | 0:55:39 | 3:08:01 + 3750 | 0 | 0.759418 | 0.813859 | 8.98e-05 | 0:56:23 | 3:07:12 + 3800 | 0 | 0.682926 | 0.812136 | 8.95e-05 | 0:57:07 | 3:06:24 + 3850 | 0 | 0.915977 | 0.813485 | 8.92e-05 | 0:57:51 | 3:05:35 + 3900 | 0 | 0.799656 | 0.813307 | 8.89e-05 | 0:58:35 | 3:04:47 + 3950 | 0 | 0.865681 | 0.813970 | 8.86e-05 | 0:59:19 | 3:03:59 + 4000 | 0 | 0.792089 | 0.813697 | 8.82e-05 | 1:00:03 | 3:03:11 +[16:37:16] Saved checkpoint -> RESULTS/cub200/run_006/checkpoint-4000 +[16:37:17] Generating 16 validation images ... +[16:37:30] Validation at step 4000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0004000.png + 4050 | 0 | 0.741580 | 0.812806 | 8.79e-05 | 1:01:16 | 3:03:48 + 4100 | 0 | 0.879384 | 0.813618 | 8.76e-05 | 1:02:00 | 3:02:59 + 4150 | 0 | 0.781231 | 0.813228 | 8.72e-05 | 1:02:44 | 3:02:10 + 4200 | 0 | 0.829110 | 0.813417 | 8.69e-05 | 1:03:28 | 3:01:21 + 4250 | 0 | 0.844837 | 0.813787 | 8.66e-05 | 1:04:12 | 3:00:32 + 4300 | 0 | 0.741373 | 0.812945 | 8.62e-05 | 1:04:56 | 2:59:43 + 4350 | 0 | 0.760247 | 0.812339 | 8.59e-05 | 1:05:40 | 2:58:55 + 4400 | 0 | 0.806084 | 0.812268 | 8.55e-05 | 1:06:24 | 2:58:06 + 4450 | 0 | 0.846867 | 0.812657 | 8.52e-05 | 1:07:08 | 2:57:18 + 4500 | 0 | 0.921005 | 0.813861 | 8.48e-05 | 1:07:53 | 2:56:30 + 4550 | 0 | 0.905446 | 0.814867 | 8.45e-05 | 1:08:37 | 2:55:41 + 4600 | 0 | 0.892545 | 0.815711 | 8.41e-05 | 1:09:21 | 2:54:53 + 4650 | 0 | 0.673452 | 0.814182 | 8.37e-05 | 1:10:05 | 2:54:05 + 4700 | 0 | 0.827975 | 0.814328 | 8.34e-05 | 1:10:49 | 2:53:17 + 4750 | 0 | 0.776163 | 0.813927 | 8.30e-05 | 1:11:33 | 2:52:29 + 4800 | 0 | 0.820377 | 0.813994 | 8.26e-05 | 1:12:17 | 2:51:41 + 4850 | 0 | 0.801293 | 0.813863 | 8.22e-05 | 1:13:01 | 2:50:53 + 4900 | 0 | 0.695710 | 0.812657 | 8.18e-05 | 1:13:45 | 2:50:06 + 4950 | 0 | 0.727835 | 0.811801 | 8.15e-05 | 1:14:29 | 2:49:18 + 5000 | 0 | 0.640924 | 0.810092 | 8.11e-05 | 1:15:13 | 2:48:30 +[16:52:13] Generating 16 validation images ... +[16:52:27] Validation at step 5000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0005000.png + 5050 | 0 | 0.799448 | 0.809803 | 8.07e-05 | 1:16:12 | 2:48:15 + 5100 | 0 | 0.795539 | 0.809727 | 8.03e-05 | 1:16:56 | 2:47:27 + 5150 | 0 | 0.754155 | 0.809245 | 7.99e-05 | 1:17:40 | 2:46:39 +[16:54:45] --- Epoch 0 complete | Steps: 5157 | Avg Loss: 0.792686 --- + 5200 | 1 | 0.847953 | 0.808676 | 7.95e-05 | 1:18:24 | 2:45:52 + 5250 | 1 | 0.665673 | 0.808236 | 7.91e-05 | 1:19:08 | 2:45:04 + 5300 | 1 | 0.868670 | 0.808275 | 7.87e-05 | 1:19:52 | 2:44:16 + 5350 | 1 | 0.815974 | 0.808313 | 7.82e-05 | 1:20:36 | 2:43:29 + 5400 | 1 | 0.901152 | 0.810411 | 7.78e-05 | 1:21:20 | 2:42:41 + 5450 | 1 | 0.858007 | 0.813075 | 7.74e-05 | 1:22:05 | 2:41:54 + 5500 | 1 | 0.911113 | 0.814713 | 7.70e-05 | 1:22:49 | 2:41:07 + 5550 | 1 | 0.719118 | 0.814019 | 7.66e-05 | 1:23:33 | 2:40:19 + 5600 | 1 | 0.763298 | 0.812075 | 7.61e-05 | 1:24:17 | 2:39:32 + 5650 | 1 | 0.768298 | 0.811817 | 7.57e-05 | 1:25:01 | 2:38:45 + 5700 | 1 | 0.653489 | 0.810950 | 7.53e-05 | 1:25:45 | 2:37:58 + 5750 | 1 | 0.807039 | 0.811489 | 7.49e-05 | 1:26:29 | 2:37:11 + 5800 | 1 | 0.838961 | 0.812495 | 7.44e-05 | 1:27:13 | 2:36:24 + 5850 | 1 | 0.678196 | 0.810427 | 7.40e-05 | 1:27:57 | 2:35:37 + 5900 | 1 | 0.696451 | 0.810427 | 7.35e-05 | 1:28:41 | 2:34:50 + 5950 | 1 | 0.672685 | 0.808246 | 7.31e-05 | 1:29:25 | 2:34:03 + 6000 | 1 | 1.007648 | 0.810947 | 7.27e-05 | 1:30:09 | 2:33:16 +[17:07:23] Saved checkpoint -> RESULTS/cub200/run_006/checkpoint-6000 +[17:07:23] Generating 16 validation images ... +[17:07:37] Validation at step 6000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0006000.png + 6050 | 1 | 0.778453 | 0.811178 | 7.22e-05 | 1:31:22 | 2:33:18 + 6100 | 1 | 0.679372 | 0.807768 | 7.18e-05 | 1:32:06 | 2:32:31 + 6150 | 1 | 0.870509 | 0.808501 | 7.13e-05 | 1:32:50 | 2:31:43 + 6200 | 1 | 0.680162 | 0.807037 | 7.09e-05 | 1:33:35 | 2:30:56 + 6250 | 1 | 0.848715 | 0.806373 | 7.04e-05 | 1:34:19 | 2:30:09 + 6300 | 1 | 0.750060 | 0.805740 | 6.99e-05 | 1:35:03 | 2:29:22 + 6350 | 1 | 0.701276 | 0.804537 | 6.95e-05 | 1:35:47 | 2:28:34 + 6400 | 1 | 0.815937 | 0.803146 | 6.90e-05 | 1:36:31 | 2:27:47 + 6450 | 1 | 0.756508 | 0.802987 | 6.86e-05 | 1:37:15 | 2:27:00 + 6500 | 1 | 0.675305 | 0.801982 | 6.81e-05 | 1:37:59 | 2:26:13 + 6550 | 1 | 0.874950 | 0.803249 | 6.76e-05 | 1:38:43 | 2:25:26 + 6600 | 1 | 0.795835 | 0.803108 | 6.72e-05 | 1:39:27 | 2:24:40 + 6650 | 1 | 0.885628 | 0.803796 | 6.67e-05 | 1:40:11 | 2:23:53 + 6700 | 1 | 0.653115 | 0.802493 | 6.62e-05 | 1:40:55 | 2:23:06 + 6750 | 1 | 0.813077 | 0.802184 | 6.57e-05 | 1:41:39 | 2:22:19 + 6800 | 1 | 0.929222 | 0.802751 | 6.53e-05 | 1:42:23 | 2:21:32 + 6850 | 1 | 0.587397 | 0.799955 | 6.48e-05 | 1:43:07 | 2:20:46 + 6900 | 1 | 1.001058 | 0.802169 | 6.43e-05 | 1:43:52 | 2:19:59 + 6950 | 1 | 0.874626 | 0.802366 | 6.38e-05 | 1:44:36 | 2:19:13 + 7000 | 1 | 0.681413 | 0.799667 | 6.33e-05 | 1:45:20 | 2:18:26 +[17:22:19] Generating 16 validation images ... +[17:22:33] Validation at step 7000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0007000.png + 7050 | 1 | 0.635394 | 0.798369 | 6.29e-05 | 1:46:19 | 2:17:59 + 7100 | 1 | 0.760090 | 0.798710 | 6.24e-05 | 1:47:03 | 2:17:12 + 7150 | 1 | 0.835622 | 0.798207 | 6.19e-05 | 1:47:47 | 2:16:25 + 7200 | 1 | 0.754411 | 0.798648 | 6.14e-05 | 1:48:31 | 2:15:39 + 7250 | 1 | 0.668943 | 0.796289 | 6.09e-05 | 1:49:15 | 2:14:52 + 7300 | 1 | 0.791112 | 0.796144 | 6.04e-05 | 1:49:59 | 2:14:05 + 7350 | 1 | 0.702724 | 0.794894 | 5.99e-05 | 1:50:43 | 2:13:19 + 7400 | 1 | 0.751835 | 0.793291 | 5.94e-05 | 1:51:27 | 2:12:32 + 7450 | 1 | 0.707016 | 0.791133 | 5.90e-05 | 1:52:11 | 2:11:46 + 7500 | 1 | 0.776928 | 0.790478 | 5.85e-05 | 1:52:55 | 2:10:59 + 7550 | 1 | 0.789163 | 0.790224 | 5.80e-05 | 1:53:39 | 2:10:13 + 7600 | 1 | 0.757259 | 0.788581 | 5.75e-05 | 1:54:23 | 2:09:27 + 7650 | 1 | 0.759097 | 0.788388 | 5.70e-05 | 1:55:08 | 2:08:40 + 7700 | 1 | 0.966231 | 0.790152 | 5.65e-05 | 1:55:52 | 2:07:54 + 7750 | 1 | 0.724989 | 0.788635 | 5.60e-05 | 1:56:36 | 2:07:08 + 7800 | 1 | 0.636523 | 0.786739 | 5.55e-05 | 1:57:20 | 2:06:21 + 7850 | 1 | 0.741416 | 0.786691 | 5.50e-05 | 1:58:04 | 2:05:35 + 7900 | 1 | 0.811167 | 0.786972 | 5.45e-05 | 1:58:48 | 2:04:49 + 7950 | 1 | 0.950204 | 0.789412 | 5.40e-05 | 1:59:32 | 2:04:03 + 8000 | 1 | 0.752590 | 0.788422 | 5.35e-05 | 2:00:16 | 2:03:17 +[17:37:29] Saved checkpoint -> RESULTS/cub200/run_006/checkpoint-8000 +[17:37:31] Removed old checkpoint: checkpoint-2000 +[17:37:32] Generating 16 validation images ... +[17:37:46] Validation at step 8000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0008000.png + 8050 | 1 | 0.790463 | 0.787858 | 5.30e-05 | 2:01:32 | 2:03:02 + 8100 | 1 | 0.858182 | 0.788897 | 5.25e-05 | 2:02:16 | 2:02:16 + 8150 | 1 | 0.834801 | 0.788665 | 5.20e-05 | 2:03:00 | 2:01:29 + 8200 | 1 | 0.825131 | 0.787881 | 5.15e-05 | 2:03:44 | 2:00:43 + 8250 | 1 | 0.740890 | 0.787144 | 5.10e-05 | 2:04:28 | 1:59:56 + 8300 | 1 | 0.842685 | 0.788730 | 5.05e-05 | 2:05:12 | 1:59:10 + 8350 | 1 | 0.851847 | 0.789087 | 5.00e-05 | 2:05:56 | 1:58:24 + 8400 | 1 | 0.659997 | 0.788230 | 4.95e-05 | 2:06:40 | 1:57:37 + 8450 | 1 | 0.685779 | 0.787812 | 4.90e-05 | 2:07:24 | 1:56:51 + 8500 | 1 | 0.876903 | 0.788699 | 4.85e-05 | 2:08:08 | 1:56:05 + 8550 | 1 | 0.727400 | 0.787593 | 4.80e-05 | 2:08:52 | 1:55:18 + 8600 | 1 | 0.857127 | 0.787734 | 4.75e-05 | 2:09:36 | 1:54:32 + 8650 | 1 | 0.745726 | 0.786565 | 4.70e-05 | 2:10:21 | 1:53:46 + 8700 | 1 | 0.720610 | 0.784949 | 4.65e-05 | 2:11:05 | 1:53:00 + 8750 | 1 | 0.763542 | 0.784991 | 4.60e-05 | 2:11:49 | 1:52:14 + 8800 | 1 | 0.879348 | 0.786955 | 4.55e-05 | 2:12:33 | 1:51:27 + 8850 | 1 | 0.803192 | 0.785827 | 4.50e-05 | 2:13:17 | 1:50:41 + 8900 | 1 | 0.653385 | 0.784364 | 4.45e-05 | 2:14:01 | 1:49:55 + 8950 | 1 | 0.751662 | 0.783224 | 4.40e-05 | 2:14:45 | 1:49:09 + 9000 | 1 | 0.849675 | 0.783800 | 4.35e-05 | 2:15:29 | 1:48:23 +[17:52:28] Generating 16 validation images ... +[17:52:42] Validation at step 9000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0009000.png + 9050 | 1 | 0.857643 | 0.784960 | 4.30e-05 | 2:16:28 | 1:47:49 + 9100 | 1 | 0.800344 | 0.784170 | 4.25e-05 | 2:17:12 | 1:47:03 + 9150 | 1 | 0.790355 | 0.784261 | 4.20e-05 | 2:17:56 | 1:46:17 + 9200 | 1 | 0.742526 | 0.783395 | 4.15e-05 | 2:18:40 | 1:45:30 + 9250 | 1 | 0.638980 | 0.781337 | 4.10e-05 | 2:19:24 | 1:44:44 + 9300 | 1 | 0.628307 | 0.780206 | 4.06e-05 | 2:20:08 | 1:43:58 + 9350 | 1 | 0.706477 | 0.779669 | 4.01e-05 | 2:20:52 | 1:43:12 + 9400 | 1 | 0.820758 | 0.779815 | 3.96e-05 | 2:21:36 | 1:42:26 + 9450 | 1 | 0.656186 | 0.777908 | 3.91e-05 | 2:22:21 | 1:41:40 + 9500 | 1 | 0.824035 | 0.776939 | 3.86e-05 | 2:23:05 | 1:40:54 + 9550 | 1 | 0.815472 | 0.776039 | 3.81e-05 | 2:23:49 | 1:40:08 + 9600 | 1 | 0.691465 | 0.774028 | 3.76e-05 | 2:24:33 | 1:39:22 + 9650 | 1 | 0.748435 | 0.774778 | 3.71e-05 | 2:25:17 | 1:38:36 + 9700 | 1 | 0.845241 | 0.774951 | 3.67e-05 | 2:26:01 | 1:37:51 + 9750 | 1 | 0.655669 | 0.773746 | 3.62e-05 | 2:26:45 | 1:37:05 + 9800 | 1 | 0.704186 | 0.772584 | 3.57e-05 | 2:27:29 | 1:36:19 + 9850 | 1 | 0.790633 | 0.772477 | 3.52e-05 | 2:28:13 | 1:35:33 + 9900 | 1 | 0.818249 | 0.773703 | 3.47e-05 | 2:28:57 | 1:34:47 + 9950 | 1 | 0.760825 | 0.774033 | 3.43e-05 | 2:29:41 | 1:34:01 + 10000 | 1 | 0.713100 | 0.774754 | 3.38e-05 | 2:30:26 | 1:33:16 +[18:07:39] Saved checkpoint -> RESULTS/cub200/run_006/checkpoint-10000 +[18:07:41] Removed old checkpoint: checkpoint-4000 +[18:07:42] Generating 16 validation images ... +[18:07:56] Validation at step 10000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0010000.png + 10050 | 1 | 0.794054 | 0.774700 | 3.33e-05 | 2:31:41 | 1:32:49 + 10100 | 1 | 0.885871 | 0.775604 | 3.28e-05 | 2:32:25 | 1:32:03 + 10150 | 1 | 0.782759 | 0.775890 | 3.24e-05 | 2:33:09 | 1:31:17 + 10200 | 1 | 0.732292 | 0.774733 | 3.19e-05 | 2:33:53 | 1:30:31 + 10250 | 1 | 0.774313 | 0.775820 | 3.14e-05 | 2:34:37 | 1:29:45 + 10300 | 1 | 0.734361 | 0.774476 | 3.10e-05 | 2:35:21 | 1:28:59 +[18:12:33] --- Epoch 1 complete | Steps: 5157 | Avg Loss: 0.788263 --- + 10350 | 2 | 0.935688 | 0.775674 | 3.05e-05 | 2:36:06 | 1:28:13 + 10400 | 2 | 0.808372 | 0.774746 | 3.01e-05 | 2:36:50 | 1:27:27 + 10450 | 2 | 0.803189 | 0.774198 | 2.96e-05 | 2:37:34 | 1:26:42 + 10500 | 2 | 0.833423 | 0.773421 | 2.91e-05 | 2:38:18 | 1:25:56 + 10550 | 2 | 0.827002 | 0.774500 | 2.87e-05 | 2:39:02 | 1:25:10 + 10600 | 2 | 0.762993 | 0.774497 | 2.82e-05 | 2:39:46 | 1:24:24 + 10650 | 2 | 0.876746 | 0.775581 | 2.78e-05 | 2:40:30 | 1:23:38 + 10700 | 2 | 0.804493 | 0.777091 | 2.73e-05 | 2:41:14 | 1:22:52 + 10750 | 2 | 0.688755 | 0.775908 | 2.69e-05 | 2:41:58 | 1:22:07 + 10800 | 2 | 0.697786 | 0.774496 | 2.65e-05 | 2:42:42 | 1:21:21 + 10850 | 2 | 0.840585 | 0.776120 | 2.60e-05 | 2:43:26 | 1:20:35 + 10900 | 2 | 0.904766 | 0.778203 | 2.56e-05 | 2:44:11 | 1:19:49 + 10950 | 2 | 0.872841 | 0.780205 | 2.51e-05 | 2:44:55 | 1:19:04 + 11000 | 2 | 0.816836 | 0.778297 | 2.47e-05 | 2:45:39 | 1:18:18 +[18:22:38] Generating 16 validation images ... +[18:22:52] Validation at step 11000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0011000.png + 11050 | 2 | 0.722503 | 0.777737 | 2.43e-05 | 2:46:37 | 1:17:39 + 11100 | 2 | 0.833771 | 0.779281 | 2.39e-05 | 2:47:22 | 1:16:53 + 11150 | 2 | 0.802420 | 0.778601 | 2.34e-05 | 2:48:06 | 1:16:08 + 11200 | 2 | 0.881376 | 0.780613 | 2.30e-05 | 2:48:50 | 1:15:22 + 11250 | 2 | 0.798740 | 0.780113 | 2.26e-05 | 2:49:34 | 1:14:36 + 11300 | 2 | 0.802444 | 0.780637 | 2.22e-05 | 2:50:18 | 1:13:50 + 11350 | 2 | 0.713708 | 0.780761 | 2.18e-05 | 2:51:02 | 1:13:05 + 11400 | 2 | 0.852791 | 0.781130 | 2.13e-05 | 2:51:46 | 1:12:19 + 11450 | 2 | 0.689380 | 0.780458 | 2.09e-05 | 2:52:30 | 1:11:33 + 11500 | 2 | 0.808118 | 0.781786 | 2.05e-05 | 2:53:14 | 1:10:48 + 11550 | 2 | 0.785929 | 0.780896 | 2.01e-05 | 2:53:58 | 1:10:02 + 11600 | 2 | 0.900600 | 0.781944 | 1.97e-05 | 2:54:42 | 1:09:17 + 11650 | 2 | 0.741533 | 0.780503 | 1.93e-05 | 2:55:26 | 1:08:31 + 11700 | 2 | 0.776573 | 0.781738 | 1.89e-05 | 2:56:11 | 1:07:45 + 11750 | 2 | 0.758946 | 0.781196 | 1.85e-05 | 2:56:55 | 1:07:00 + 11800 | 2 | 0.598243 | 0.777886 | 1.82e-05 | 2:57:39 | 1:06:14 + 11850 | 2 | 0.664960 | 0.778662 | 1.78e-05 | 2:58:23 | 1:05:29 + 11900 | 2 | 0.837601 | 0.777028 | 1.74e-05 | 2:59:07 | 1:04:43 + 11950 | 2 | 0.689768 | 0.775179 | 1.70e-05 | 2:59:51 | 1:03:57 + 12000 | 2 | 0.815426 | 0.776519 | 1.66e-05 | 3:00:35 | 1:03:12 +[18:37:48] Saved checkpoint -> RESULTS/cub200/run_006/checkpoint-12000 +[18:37:50] Removed old checkpoint: checkpoint-6000 +[18:37:51] Generating 16 validation images ... +[18:38:05] Validation at step 12000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0012000.png + 12050 | 2 | 0.626626 | 0.776431 | 1.63e-05 | 3:01:50 | 1:02:37 + 12100 | 2 | 0.957783 | 0.778408 | 1.59e-05 | 3:02:34 | 1:01:51 + 12150 | 2 | 0.846188 | 0.778514 | 1.55e-05 | 3:03:18 | 1:01:06 + 12200 | 2 | 1.022211 | 0.781192 | 1.52e-05 | 3:04:02 | 1:00:20 + 12250 | 2 | 0.798279 | 0.782485 | 1.48e-05 | 3:04:46 | 0:59:34 + 12300 | 2 | 0.802136 | 0.782596 | 1.45e-05 | 3:05:30 | 0:58:49 + 12350 | 2 | 0.850098 | 0.784069 | 1.41e-05 | 3:06:14 | 0:58:03 + 12400 | 2 | 0.798875 | 0.784540 | 1.38e-05 | 3:06:58 | 0:57:18 + 12450 | 2 | 0.869902 | 0.786169 | 1.34e-05 | 3:07:43 | 0:56:32 + 12500 | 2 | 0.705895 | 0.785458 | 1.31e-05 | 3:08:27 | 0:55:46 + 12550 | 2 | 0.759986 | 0.785166 | 1.28e-05 | 3:09:11 | 0:55:01 + 12600 | 2 | 0.890312 | 0.786497 | 1.24e-05 | 3:09:55 | 0:54:15 + 12650 | 2 | 0.752276 | 0.786429 | 1.21e-05 | 3:10:39 | 0:53:30 + 12700 | 2 | 0.793364 | 0.784700 | 1.18e-05 | 3:11:23 | 0:52:44 + 12750 | 2 | 0.722608 | 0.784676 | 1.14e-05 | 3:12:07 | 0:51:59 + 12800 | 2 | 0.973943 | 0.788050 | 1.11e-05 | 3:12:51 | 0:51:13 + 12850 | 2 | 0.728345 | 0.787920 | 1.08e-05 | 3:13:35 | 0:50:28 + 12900 | 2 | 0.747204 | 0.787280 | 1.05e-05 | 3:14:19 | 0:49:42 + 12950 | 2 | 0.811069 | 0.785889 | 1.02e-05 | 3:15:03 | 0:48:57 + 13000 | 2 | 0.947173 | 0.787835 | 9.90e-06 | 3:15:47 | 0:48:11 +[18:52:46] Generating 16 validation images ... +[18:53:00] Validation at step 13000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0013000.png + 13050 | 2 | 0.873415 | 0.788664 | 9.61e-06 | 3:16:46 | 0:47:29 + 13100 | 2 | 0.772089 | 0.787803 | 9.32e-06 | 3:17:30 | 0:46:44 + 13150 | 2 | 0.891088 | 0.788366 | 9.03e-06 | 3:18:14 | 0:45:58 + 13200 | 2 | 0.855733 | 0.788672 | 8.74e-06 | 3:18:58 | 0:45:13 + 13250 | 2 | 0.697160 | 0.788235 | 8.46e-06 | 3:19:42 | 0:44:27 + 13300 | 2 | 0.706607 | 0.786874 | 8.18e-06 | 3:20:26 | 0:43:42 + 13350 | 2 | 0.791753 | 0.786273 | 7.91e-06 | 3:21:11 | 0:42:56 + 13400 | 2 | 0.925095 | 0.788924 | 7.64e-06 | 3:21:55 | 0:42:11 + 13450 | 2 | 0.852196 | 0.790588 | 7.38e-06 | 3:22:39 | 0:41:26 + 13500 | 2 | 0.766547 | 0.789485 | 7.12e-06 | 3:23:23 | 0:40:40 + 13550 | 2 | 0.784579 | 0.790056 | 6.87e-06 | 3:24:07 | 0:39:55 + 13600 | 2 | 0.835390 | 0.789839 | 6.62e-06 | 3:24:51 | 0:39:09 + 13650 | 2 | 0.676958 | 0.789151 | 6.37e-06 | 3:25:35 | 0:38:24 + 13700 | 2 | 0.753184 | 0.789477 | 6.13e-06 | 3:26:19 | 0:37:39 + 13750 | 2 | 0.770019 | 0.789542 | 5.89e-06 | 3:27:03 | 0:36:53 + 13800 | 2 | 0.726920 | 0.788018 | 5.66e-06 | 3:27:48 | 0:36:08 + 13850 | 2 | 0.652261 | 0.786508 | 5.43e-06 | 3:28:32 | 0:35:22 + 13900 | 2 | 0.852535 | 0.788500 | 5.20e-06 | 3:29:16 | 0:34:37 + 13950 | 2 | 0.836337 | 0.789347 | 4.98e-06 | 3:30:00 | 0:33:52 + 14000 | 2 | 0.954734 | 0.790397 | 4.77e-06 | 3:30:44 | 0:33:06 +[19:07:57] Saved checkpoint -> RESULTS/cub200/run_006/checkpoint-14000 +[19:07:59] Removed old checkpoint: checkpoint-8000 +[19:08:00] Generating 16 validation images ... +[19:08:14] Validation at step 14000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0014000.png + 14050 | 2 | 0.832659 | 0.790147 | 4.56e-06 | 3:31:59 | 0:32:26 + 14100 | 2 | 0.866247 | 0.790806 | 4.35e-06 | 3:32:43 | 0:31:40 + 14150 | 2 | 0.682059 | 0.789723 | 4.15e-06 | 3:33:27 | 0:30:55 + 14200 | 2 | 0.605213 | 0.788350 | 3.95e-06 | 3:34:11 | 0:30:10 + 14250 | 2 | 0.836475 | 0.790325 | 3.76e-06 | 3:34:55 | 0:29:24 + 14300 | 2 | 0.725484 | 0.791297 | 3.57e-06 | 3:35:39 | 0:28:39 + 14350 | 2 | 0.750631 | 0.791739 | 3.39e-06 | 3:36:23 | 0:27:53 + 14400 | 2 | 0.775406 | 0.791285 | 3.21e-06 | 3:37:07 | 0:27:08 + 14450 | 2 | 0.741609 | 0.792139 | 3.03e-06 | 3:37:52 | 0:26:23 + 14500 | 2 | 0.803254 | 0.791931 | 2.87e-06 | 3:38:36 | 0:25:37 + 14550 | 2 | 0.838929 | 0.792166 | 2.70e-06 | 3:39:20 | 0:24:52 + 14600 | 2 | 0.624712 | 0.791498 | 2.54e-06 | 3:40:04 | 0:24:07 + 14650 | 2 | 0.637318 | 0.790387 | 2.39e-06 | 3:40:48 | 0:23:21 + 14700 | 2 | 0.844626 | 0.790381 | 2.24e-06 | 3:41:32 | 0:22:36 + 14750 | 2 | 0.699095 | 0.790815 | 2.09e-06 | 3:42:16 | 0:21:51 + 14800 | 2 | 0.776520 | 0.791539 | 1.95e-06 | 3:43:00 | 0:21:05 + 14850 | 2 | 0.718468 | 0.790817 | 1.81e-06 | 3:43:44 | 0:20:20 + 14900 | 2 | 0.876674 | 0.791401 | 1.68e-06 | 3:44:29 | 0:19:35 + 14950 | 2 | 0.778801 | 0.791581 | 1.56e-06 | 3:45:13 | 0:18:49 + 15000 | 2 | 0.768195 | 0.792132 | 1.43e-06 | 3:45:57 | 0:18:04 +[19:22:56] Generating 16 validation images ... +[19:23:10] Validation at step 15000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0015000.png + 15050 | 2 | 0.788993 | 0.792081 | 1.32e-06 | 3:46:55 | 0:17:20 + 15100 | 2 | 0.819768 | 0.791420 | 1.21e-06 | 3:47:39 | 0:16:35 + 15150 | 2 | 0.675844 | 0.790351 | 1.10e-06 | 3:48:23 | 0:15:49 + 15200 | 2 | 0.666552 | 0.789694 | 9.98e-07 | 3:49:07 | 0:15:04 + 15250 | 2 | 0.979691 | 0.791748 | 9.01e-07 | 3:49:52 | 0:14:19 + 15300 | 2 | 0.861361 | 0.793018 | 8.09e-07 | 3:50:36 | 0:13:33 + 15350 | 2 | 0.763889 | 0.791300 | 7.21e-07 | 3:51:20 | 0:12:48 + 15400 | 2 | 0.822586 | 0.791442 | 6.39e-07 | 3:52:04 | 0:12:03 + 15450 | 2 | 0.794271 | 0.791353 | 5.62e-07 | 3:52:48 | 0:11:18 +[19:30:05] --- Epoch 2 complete | Steps: 5157 | Avg Loss: 0.786931 --- + 15500 | 3 | 0.846999 | 0.791488 | 4.90e-07 | 3:53:32 | 0:10:32 + 15550 | 3 | 0.654222 | 0.789761 | 4.22e-07 | 3:54:16 | 0:09:47 + 15600 | 3 | 0.836925 | 0.790500 | 3.60e-07 | 3:55:00 | 0:09:02 + 15650 | 3 | 0.778791 | 0.789520 | 3.03e-07 | 3:55:44 | 0:08:17 + 15700 | 3 | 0.718516 | 0.788661 | 2.50e-07 | 3:56:28 | 0:07:31 + 15750 | 3 | 0.760339 | 0.789376 | 2.03e-07 | 3:57:13 | 0:06:46 + 15800 | 3 | 0.860225 | 0.791001 | 1.60e-07 | 3:57:57 | 0:06:01 + 15850 | 3 | 0.733036 | 0.789925 | 1.23e-07 | 3:58:41 | 0:05:16 + 15900 | 3 | 0.747866 | 0.788356 | 9.01e-08 | 3:59:25 | 0:04:31 + 15950 | 3 | 0.796074 | 0.787589 | 6.26e-08 | 4:00:09 | 0:03:45 + 16000 | 3 | 0.856954 | 0.787990 | 4.00e-08 | 4:00:53 | 0:03:00 +[19:38:06] Saved checkpoint -> RESULTS/cub200/run_006/checkpoint-16000 +[19:38:08] Removed old checkpoint: checkpoint-10000 +[19:38:09] Generating 16 validation images ... +[19:38:22] Validation at step 16000: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0016000.png + 16050 | 3 | 0.735462 | 0.788119 | 2.25e-08 | 4:02:08 | 0:02:15 + 16100 | 3 | 0.803422 | 0.787816 | 1.00e-08 | 4:02:52 | 0:01:30 + 16150 | 3 | 0.816385 | 0.787956 | 2.50e-09 | 4:03:36 | 0:00:45 + 16200 | 3 | 0.789432 | 0.787036 | 0.00e+00 | 4:04:20 | 0:00:00 +[19:41:19] --- Epoch 3 complete | Steps: 729 | Avg Loss: 0.786017 --- +[19:41:19] Saving final model ... +[19:41:30] Pipeline saved -> RESULTS/cub200/run_006 +[19:41:30] Generating final validation collage ... +[19:41:30] Generating 16 validation images ... +[19:41:44] Validation at step 16200: generated 16 images -> RESULTS/cub200/run_006/validation/collage_step_0016200.png +[19:41:44] +[19:41:44] ============================================================ +[19:41:44] TRAINING SUMMARY +[19:41:44] ============================================================ +[19:41:44] Total steps : 324 +[19:41:44] Final loss : 0.789432 +[19:41:44] Avg last 100 : 0.787036 +[19:41:44] Min loss : 0.587397 +[19:41:44] Total time : 4:04:45 +[19:41:44] Output : RESULTS/cub200/run_006 +[19:41:44] ============================================================ diff --git a/cub200/sana 1.6/Base 16.2k/training_args.json b/cub200/sana 1.6/Base 16.2k/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..0c96e19699f3cd63258b9dcfd1c55500091a3176 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/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/cub200", + "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": 16200, + "num_train_epochs": 4, + "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/cub200/run_006" +} \ No newline at end of file diff --git a/cub200/sana 1.6/Base 16.2k/training_summary.json b/cub200/sana 1.6/Base 16.2k/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a5e41682f5c279c17af6072c718cc450f86f7f0d --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 324, + "final_loss": 0.7894319295883179, + "avg_last_100": 0.7870361602306366, + "min_loss": 0.587396502494812, + "total_time": "4:04:45" +} \ No newline at end of file diff --git a/cub200/sana 1.6/Base 16.2k/transformer/config.json b/cub200/sana 1.6/Base 16.2k/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..78fa08370aa526b0ef4ac416a7f176d967ac2da4 --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/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/cub200/sana 1.6/Base 16.2k/vae/config.json b/cub200/sana 1.6/Base 16.2k/vae/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b17f40262b3125bfb20f313d5fa50fbd2ba3451a --- /dev/null +++ b/cub200/sana 1.6/Base 16.2k/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" +} diff --git a/cub200/sana 1.6/Baseline/model_index.json b/cub200/sana 1.6/Baseline/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/cub200/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/cub200/sana 1.6/Baseline/training.log b/cub200/sana 1.6/Baseline/training.log new file mode 100644 index 0000000000000000000000000000000000000000..12d702bdd9ec1b5ad9a210042e32fb2ed5776cfc --- /dev/null +++ b/cub200/sana 1.6/Baseline/training.log @@ -0,0 +1,271 @@ +Training started: 2026-07-25 13:04:20 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[13:04:20] Run directory: RESULTS/cub200/run_005 +[13:04:20] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[13:04:20] Loading pretrained SANA components ... +[13:04:35] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[13:04:35] Building dataset ... +[13:04:35] Step-based training: 10000 steps (~2 epochs over dataset) +[13:04:38] +[13:04:38] ================================================================ +[13:04:38] Output dir = RESULTS/cub200/run_005 +[13:04:38] Num examples = 41255 +[13:04:38] Num epochs = 2 +[13:04:38] Batch/device = 8 +[13:04:38] Grad accum = 1 +[13:04:38] Effective BS = 8 +[13:04:38] Total optim steps = 10000 +[13:04:38] LR = 0.0001 +[13:04:38] Precision = bf16 +[13:04:38] Log every = 50 steps +[13:04:38] Validate every = 1000 steps +[13:04:38] Checkpoint every = 2000 steps +[13:04:38] ================================================================ +[13:04:38] + 50 | 0 | 0.828361 | 0.828361 | 1.00e-05 | 0:01:03 | 3:30:32 + 100 | 0 | 0.803143 | 0.815752 | 2.00e-05 | 0:01:47 | 2:57:16 + 150 | 0 | 0.802308 | 0.811271 | 3.00e-05 | 0:02:31 | 2:45:52 + 200 | 0 | 0.904912 | 0.834681 | 4.00e-05 | 0:03:15 | 2:39:49 + 250 | 0 | 0.709658 | 0.809676 | 5.00e-05 | 0:03:59 | 2:35:54 + 300 | 0 | 0.864783 | 0.818861 | 6.00e-05 | 0:04:44 | 2:33:03 + 350 | 0 | 0.812083 | 0.817893 | 7.00e-05 | 0:05:28 | 2:30:48 + 400 | 0 | 0.691432 | 0.802085 | 8.00e-05 | 0:06:12 | 2:28:56 + 450 | 0 | 0.591537 | 0.778691 | 9.00e-05 | 0:06:56 | 2:27:18 + 500 | 0 | 0.747338 | 0.775556 | 1.00e-04 | 0:07:40 | 2:25:51 + 550 | 0 | 0.788589 | 0.776740 | 1.00e-04 | 0:08:24 | 2:24:32 + 600 | 0 | 0.957192 | 0.791778 | 1.00e-04 | 0:09:08 | 2:23:19 + 650 | 0 | 0.794065 | 0.791954 | 9.99e-05 | 0:09:53 | 2:22:10 + 700 | 0 | 0.739670 | 0.788219 | 9.99e-05 | 0:10:37 | 2:21:04 + 750 | 0 | 0.751856 | 0.785795 | 9.98e-05 | 0:11:21 | 2:20:02 + 800 | 0 | 0.737880 | 0.782800 | 9.98e-05 | 0:12:05 | 2:19:02 + 850 | 0 | 0.884685 | 0.788794 | 9.97e-05 | 0:12:49 | 2:18:03 + 900 | 0 | 0.697404 | 0.783716 | 9.96e-05 | 0:13:33 | 2:17:07 + 950 | 0 | 0.890736 | 0.789349 | 9.94e-05 | 0:14:17 | 2:16:11 + 1000 | 0 | 0.738121 | 0.786788 | 9.93e-05 | 0:15:01 | 2:15:17 +[13:19:22] Generating 16 validation images ... +[13:19:37] Validation at step 1000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0001000.png + 1050 | 0 | 0.759206 | 0.785474 | 9.92e-05 | 0:16:01 | 2:16:33 + 1100 | 0 | 1.020788 | 0.796170 | 9.90e-05 | 0:16:45 | 2:15:34 + 1150 | 0 | 0.798864 | 0.796287 | 9.88e-05 | 0:17:29 | 2:14:36 + 1200 | 0 | 0.826939 | 0.797565 | 9.87e-05 | 0:18:13 | 2:13:39 + 1250 | 0 | 0.908737 | 0.802011 | 9.85e-05 | 0:18:57 | 2:12:44 + 1300 | 0 | 0.813336 | 0.802447 | 9.83e-05 | 0:19:41 | 2:11:49 + 1350 | 0 | 0.821851 | 0.803166 | 9.80e-05 | 0:20:26 | 2:10:55 + 1400 | 0 | 0.956130 | 0.808629 | 9.78e-05 | 0:21:10 | 2:10:02 + 1450 | 0 | 0.772665 | 0.807389 | 9.76e-05 | 0:21:54 | 2:09:10 + 1500 | 0 | 0.775300 | 0.806319 | 9.73e-05 | 0:22:38 | 2:08:18 + 1550 | 0 | 0.748805 | 0.804464 | 9.70e-05 | 0:23:22 | 2:07:26 + 1600 | 0 | 0.809977 | 0.804636 | 9.67e-05 | 0:24:06 | 2:06:35 + 1650 | 0 | 0.810961 | 0.804828 | 9.64e-05 | 0:24:50 | 2:05:44 + 1700 | 0 | 0.784049 | 0.804216 | 9.61e-05 | 0:25:35 | 2:04:54 + 1750 | 0 | 0.846579 | 0.805427 | 9.58e-05 | 0:26:19 | 2:04:04 + 1800 | 0 | 0.872524 | 0.807291 | 9.55e-05 | 0:27:03 | 2:03:15 + 1850 | 0 | 0.867599 | 0.808921 | 9.51e-05 | 0:27:47 | 2:02:25 + 1900 | 0 | 0.779790 | 0.808154 | 9.47e-05 | 0:28:31 | 2:01:36 + 1950 | 0 | 0.856552 | 0.809395 | 9.44e-05 | 0:29:15 | 2:00:47 + 2000 | 0 | 0.951169 | 0.812939 | 9.40e-05 | 0:29:59 | 1:59:59 +[13:34:34] Saved checkpoint -> RESULTS/cub200/run_005/checkpoint-2000 +[13:34:35] Generating 16 validation images ... +[13:34:49] Validation at step 2000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0002000.png + 2050 | 0 | 0.767158 | 0.811823 | 9.36e-05 | 0:31:13 | 2:01:04 + 2100 | 0 | 0.724566 | 0.809745 | 9.32e-05 | 0:31:57 | 2:00:12 + 2150 | 0 | 0.884820 | 0.811491 | 9.27e-05 | 0:32:41 | 1:59:21 + 2200 | 0 | 0.710776 | 0.809202 | 9.23e-05 | 0:33:25 | 1:58:30 + 2250 | 0 | 0.904045 | 0.811310 | 9.19e-05 | 0:34:09 | 1:57:40 + 2300 | 0 | 0.803507 | 0.811140 | 9.14e-05 | 0:34:53 | 1:56:49 + 2350 | 0 | 0.826457 | 0.811466 | 9.09e-05 | 0:35:38 | 1:55:59 + 2400 | 0 | 0.911751 | 0.813555 | 9.05e-05 | 0:36:22 | 1:55:10 + 2450 | 0 | 0.922956 | 0.815788 | 9.00e-05 | 0:37:06 | 1:54:20 + 2500 | 0 | 0.842420 | 0.816321 | 8.95e-05 | 0:37:50 | 1:53:31 + 2550 | 0 | 0.815416 | 0.816303 | 8.89e-05 | 0:38:34 | 1:52:41 + 2600 | 0 | 0.921373 | 0.818323 | 8.84e-05 | 0:39:18 | 1:51:52 + 2650 | 0 | 0.778637 | 0.817575 | 8.79e-05 | 0:40:02 | 1:51:04 + 2700 | 0 | 0.789665 | 0.817058 | 8.73e-05 | 0:40:46 | 1:50:15 + 2750 | 0 | 0.876594 | 0.818140 | 8.68e-05 | 0:41:30 | 1:49:27 + 2800 | 0 | 0.826334 | 0.818287 | 8.62e-05 | 0:42:15 | 1:48:38 + 2850 | 0 | 0.746952 | 0.817035 | 8.56e-05 | 0:42:59 | 1:47:50 + 2900 | 0 | 0.782798 | 0.816445 | 8.51e-05 | 0:43:43 | 1:47:02 + 2950 | 0 | 0.707448 | 0.814597 | 8.45e-05 | 0:44:27 | 1:46:14 + 3000 | 0 | 0.848900 | 0.815169 | 8.39e-05 | 0:45:11 | 1:45:26 +[13:49:32] Generating 16 validation images ... +[13:49:46] Validation at step 3000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0003000.png + 3050 | 0 | 0.846823 | 0.815688 | 8.33e-05 | 0:46:10 | 1:45:12 + 3100 | 0 | 0.754730 | 0.814705 | 8.26e-05 | 0:46:54 | 1:44:24 + 3150 | 0 | 0.857780 | 0.815389 | 8.20e-05 | 0:47:38 | 1:43:36 + 3200 | 0 | 0.902893 | 0.816756 | 8.14e-05 | 0:48:22 | 1:42:48 + 3250 | 0 | 0.814631 | 0.816723 | 8.07e-05 | 0:49:06 | 1:42:00 + 3300 | 0 | 0.684594 | 0.814721 | 8.01e-05 | 0:49:51 | 1:41:12 + 3350 | 0 | 0.816784 | 0.814752 | 7.94e-05 | 0:50:35 | 1:40:25 + 3400 | 0 | 0.745142 | 0.813728 | 7.87e-05 | 0:51:19 | 1:39:37 + 3450 | 0 | 0.727316 | 0.812476 | 7.80e-05 | 0:52:03 | 1:38:50 + 3500 | 0 | 0.787900 | 0.812125 | 7.73e-05 | 0:52:47 | 1:38:02 + 3550 | 0 | 0.837342 | 0.812480 | 7.67e-05 | 0:53:31 | 1:37:15 + 3600 | 0 | 0.842929 | 0.812903 | 7.59e-05 | 0:54:15 | 1:36:27 + 3650 | 0 | 0.862057 | 0.813576 | 7.52e-05 | 0:54:59 | 1:35:40 + 3700 | 0 | 0.881360 | 0.814492 | 7.45e-05 | 0:55:43 | 1:34:53 + 3750 | 0 | 0.759333 | 0.813757 | 7.38e-05 | 0:56:27 | 1:34:06 + 3800 | 0 | 0.683262 | 0.812040 | 7.31e-05 | 0:57:11 | 1:33:19 + 3850 | 0 | 0.915243 | 0.813380 | 7.23e-05 | 0:57:55 | 1:32:32 + 3900 | 0 | 0.799440 | 0.813201 | 7.16e-05 | 0:58:40 | 1:31:45 + 3950 | 0 | 0.864528 | 0.813851 | 7.08e-05 | 0:59:24 | 1:30:59 + 4000 | 0 | 0.788240 | 0.813531 | 7.01e-05 | 1:00:08 | 1:30:12 +[14:04:43] Saved checkpoint -> RESULTS/cub200/run_005/checkpoint-4000 +[14:04:43] Generating 16 validation images ... +[14:04:57] Validation at step 4000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0004000.png + 4050 | 0 | 0.741359 | 0.812640 | 6.93e-05 | 1:01:21 | 1:30:08 + 4100 | 0 | 0.879943 | 0.813461 | 6.86e-05 | 1:02:05 | 1:29:20 + 4150 | 0 | 0.780989 | 0.813069 | 6.78e-05 | 1:02:49 | 1:28:33 + 4200 | 0 | 0.829706 | 0.813268 | 6.70e-05 | 1:03:33 | 1:27:46 + 4250 | 0 | 0.843728 | 0.813626 | 6.62e-05 | 1:04:17 | 1:26:58 + 4300 | 0 | 0.740788 | 0.812779 | 6.55e-05 | 1:05:01 | 1:26:11 + 4350 | 0 | 0.760064 | 0.812173 | 6.47e-05 | 1:05:45 | 1:25:24 + 4400 | 0 | 0.806260 | 0.812106 | 6.39e-05 | 1:06:29 | 1:24:37 + 4450 | 0 | 0.845055 | 0.812476 | 6.31e-05 | 1:07:13 | 1:23:50 + 4500 | 0 | 0.920179 | 0.813673 | 6.23e-05 | 1:07:57 | 1:23:04 + 4550 | 0 | 0.905257 | 0.814679 | 6.15e-05 | 1:08:41 | 1:22:17 + 4600 | 0 | 0.892900 | 0.815529 | 6.07e-05 | 1:09:26 | 1:21:30 + 4650 | 0 | 0.673547 | 0.814003 | 5.99e-05 | 1:10:10 | 1:20:43 + 4700 | 0 | 0.827687 | 0.814148 | 5.90e-05 | 1:10:54 | 1:19:57 + 4750 | 0 | 0.775447 | 0.813741 | 5.82e-05 | 1:11:38 | 1:19:10 + 4800 | 0 | 0.819792 | 0.813804 | 5.74e-05 | 1:12:22 | 1:18:24 + 4850 | 0 | 0.801733 | 0.813679 | 5.66e-05 | 1:13:06 | 1:17:37 + 4900 | 0 | 0.695678 | 0.812475 | 5.58e-05 | 1:13:50 | 1:16:51 + 4950 | 0 | 0.728388 | 0.811626 | 5.50e-05 | 1:14:34 | 1:16:04 + 5000 | 0 | 0.640496 | 0.809915 | 5.41e-05 | 1:15:18 | 1:15:18 +[14:19:39] Generating 16 validation images ... +[14:19:53] Validation at step 5000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0005000.png + 5050 | 0 | 0.799607 | 0.809627 | 5.33e-05 | 1:16:17 | 1:14:46 + 5100 | 0 | 0.795319 | 0.809549 | 5.25e-05 | 1:17:01 | 1:14:00 + 5150 | 0 | 0.754907 | 0.809075 | 5.17e-05 | 1:17:45 | 1:13:13 +[14:22:12] --- Epoch 0 complete | Steps: 5157 | Avg Loss: 0.792574 --- + 5200 | 1 | 0.847377 | 0.808500 | 5.08e-05 | 1:18:29 | 1:12:27 + 5250 | 1 | 0.663615 | 0.808039 | 5.00e-05 | 1:19:13 | 1:11:41 + 5300 | 1 | 0.869166 | 0.808083 | 4.92e-05 | 1:19:57 | 1:10:54 + 5350 | 1 | 0.816005 | 0.808122 | 4.83e-05 | 1:20:41 | 1:10:08 + 5400 | 1 | 0.899035 | 0.810198 | 4.75e-05 | 1:21:26 | 1:09:22 + 5450 | 1 | 0.857663 | 0.812859 | 4.67e-05 | 1:22:10 | 1:08:35 + 5500 | 1 | 0.912138 | 0.814507 | 4.59e-05 | 1:22:54 | 1:07:49 + 5550 | 1 | 0.719307 | 0.813815 | 4.50e-05 | 1:23:38 | 1:07:03 + 5600 | 1 | 0.764033 | 0.811883 | 4.42e-05 | 1:24:22 | 1:06:17 + 5650 | 1 | 0.768543 | 0.811628 | 4.34e-05 | 1:25:06 | 1:05:31 + 5700 | 1 | 0.653742 | 0.810769 | 4.26e-05 | 1:25:50 | 1:04:45 + 5750 | 1 | 0.806137 | 0.811311 | 4.18e-05 | 1:26:34 | 1:03:59 + 5800 | 1 | 0.839568 | 0.812328 | 4.10e-05 | 1:27:18 | 1:03:13 + 5850 | 1 | 0.679387 | 0.810275 | 4.01e-05 | 1:28:02 | 1:02:27 + 5900 | 1 | 0.694838 | 0.810250 | 3.93e-05 | 1:28:46 | 1:01:41 + 5950 | 1 | 0.672583 | 0.808068 | 3.85e-05 | 1:29:30 | 1:00:55 + 6000 | 1 | 1.007859 | 0.810765 | 3.77e-05 | 1:30:14 | 1:00:09 +[14:34:49] Saved checkpoint -> RESULTS/cub200/run_005/checkpoint-6000 +[14:34:50] Generating 16 validation images ... +[14:35:04] Validation at step 6000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0006000.png + 6050 | 1 | 0.777826 | 0.810952 | 3.69e-05 | 1:31:28 | 0:59:43 + 6100 | 1 | 0.679180 | 0.807536 | 3.61e-05 | 1:32:12 | 0:58:56 + 6150 | 1 | 0.870848 | 0.808255 | 3.53e-05 | 1:32:56 | 0:58:10 + 6200 | 1 | 0.679693 | 0.806783 | 3.45e-05 | 1:33:40 | 0:57:24 + 6250 | 1 | 0.848472 | 0.806180 | 3.38e-05 | 1:34:24 | 0:56:38 + 6300 | 1 | 0.752997 | 0.805577 | 3.30e-05 | 1:35:08 | 0:55:52 + 6350 | 1 | 0.702457 | 0.804383 | 3.22e-05 | 1:35:52 | 0:55:06 + 6400 | 1 | 0.815837 | 0.802980 | 3.14e-05 | 1:36:36 | 0:54:20 + 6450 | 1 | 0.756692 | 0.802820 | 3.07e-05 | 1:37:20 | 0:53:34 + 6500 | 1 | 0.674719 | 0.801815 | 2.99e-05 | 1:38:04 | 0:52:48 + 6550 | 1 | 0.875220 | 0.803079 | 2.92e-05 | 1:38:48 | 0:52:02 + 6600 | 1 | 0.796028 | 0.802939 | 2.84e-05 | 1:39:32 | 0:51:16 + 6650 | 1 | 0.884403 | 0.803674 | 2.77e-05 | 1:40:16 | 0:50:31 + 6700 | 1 | 0.652803 | 0.802361 | 2.69e-05 | 1:41:00 | 0:49:45 + 6750 | 1 | 0.812468 | 0.802020 | 2.62e-05 | 1:41:45 | 0:48:59 + 6800 | 1 | 0.929041 | 0.802585 | 2.55e-05 | 1:42:29 | 0:48:13 + 6850 | 1 | 0.588730 | 0.799797 | 2.48e-05 | 1:43:13 | 0:47:27 + 6900 | 1 | 1.001295 | 0.802012 | 2.41e-05 | 1:43:57 | 0:46:42 + 6950 | 1 | 0.874781 | 0.802194 | 2.33e-05 | 1:44:41 | 0:45:56 + 7000 | 1 | 0.679486 | 0.799477 | 2.27e-05 | 1:45:25 | 0:45:10 +[14:49:45] Generating 16 validation images ... +[14:50:00] Validation at step 7000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0007000.png + 7050 | 1 | 0.635360 | 0.798159 | 2.20e-05 | 1:46:24 | 0:44:31 + 7100 | 1 | 0.760003 | 0.798513 | 2.13e-05 | 1:47:08 | 0:43:45 + 7150 | 1 | 0.834318 | 0.798008 | 2.06e-05 | 1:47:52 | 0:42:59 + 7200 | 1 | 0.754884 | 0.798449 | 1.99e-05 | 1:48:36 | 0:42:14 + 7250 | 1 | 0.669949 | 0.796109 | 1.93e-05 | 1:49:20 | 0:41:28 + 7300 | 1 | 0.790439 | 0.795978 | 1.86e-05 | 1:50:05 | 0:40:42 + 7350 | 1 | 0.702167 | 0.794735 | 1.80e-05 | 1:50:49 | 0:39:57 + 7400 | 1 | 0.751646 | 0.793134 | 1.74e-05 | 1:51:33 | 0:39:11 + 7450 | 1 | 0.706643 | 0.790971 | 1.67e-05 | 1:52:17 | 0:38:26 + 7500 | 1 | 0.777457 | 0.790321 | 1.61e-05 | 1:53:01 | 0:37:40 + 7550 | 1 | 0.789493 | 0.790062 | 1.55e-05 | 1:53:45 | 0:36:54 + 7600 | 1 | 0.758122 | 0.788429 | 1.49e-05 | 1:54:29 | 0:36:09 + 7650 | 1 | 0.759992 | 0.788243 | 1.44e-05 | 1:55:14 | 0:35:23 + 7700 | 1 | 0.966087 | 0.790007 | 1.38e-05 | 1:55:58 | 0:34:38 + 7750 | 1 | 0.728840 | 0.788530 | 1.32e-05 | 1:56:42 | 0:33:52 + 7800 | 1 | 0.636559 | 0.786632 | 1.27e-05 | 1:57:26 | 0:33:07 + 7850 | 1 | 0.741332 | 0.786576 | 1.21e-05 | 1:58:10 | 0:32:21 + 7900 | 1 | 0.811505 | 0.786863 | 1.16e-05 | 1:58:54 | 0:31:36 + 7950 | 1 | 0.950184 | 0.789290 | 1.11e-05 | 1:59:38 | 0:30:51 + 8000 | 1 | 0.753259 | 0.788334 | 1.05e-05 | 2:00:22 | 0:30:05 +[15:04:57] Saved checkpoint -> RESULTS/cub200/run_005/checkpoint-8000 +[15:04:59] Removed old checkpoint: checkpoint-2000 +[15:05:00] Generating 16 validation images ... +[15:05:14] Validation at step 8000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0008000.png + 8050 | 1 | 0.790534 | 0.787771 | 1.00e-05 | 2:01:38 | 0:29:28 + 8100 | 1 | 0.859045 | 0.788814 | 9.55e-06 | 2:02:22 | 0:28:42 + 8150 | 1 | 0.834437 | 0.788581 | 9.07e-06 | 2:03:07 | 0:27:56 + 8200 | 1 | 0.825708 | 0.787809 | 8.60e-06 | 2:03:51 | 0:27:11 + 8250 | 1 | 0.738548 | 0.787048 | 8.14e-06 | 2:04:35 | 0:26:25 + 8300 | 1 | 0.843153 | 0.788633 | 7.70e-06 | 2:05:19 | 0:25:40 + 8350 | 1 | 0.852211 | 0.788988 | 7.26e-06 | 2:06:03 | 0:24:54 + 8400 | 1 | 0.660753 | 0.788144 | 6.84e-06 | 2:06:47 | 0:24:09 + 8450 | 1 | 0.684879 | 0.787719 | 6.43e-06 | 2:07:31 | 0:23:23 + 8500 | 1 | 0.877369 | 0.788614 | 6.03e-06 | 2:08:16 | 0:22:38 + 8550 | 1 | 0.727773 | 0.787518 | 5.64e-06 | 2:09:00 | 0:21:52 + 8600 | 1 | 0.857389 | 0.787663 | 5.26e-06 | 2:09:44 | 0:21:07 + 8650 | 1 | 0.746150 | 0.786504 | 4.90e-06 | 2:10:28 | 0:20:21 + 8700 | 1 | 0.723158 | 0.784922 | 4.55e-06 | 2:11:12 | 0:19:36 + 8750 | 1 | 0.763403 | 0.784963 | 4.21e-06 | 2:11:56 | 0:18:50 + 8800 | 1 | 0.880033 | 0.786930 | 3.89e-06 | 2:12:40 | 0:18:05 + 8850 | 1 | 0.804002 | 0.785818 | 3.57e-06 | 2:13:24 | 0:17:20 + 8900 | 1 | 0.653903 | 0.784363 | 3.27e-06 | 2:14:09 | 0:16:34 + 8950 | 1 | 0.752515 | 0.783242 | 2.98e-06 | 2:14:53 | 0:15:49 + 9000 | 1 | 0.849916 | 0.783859 | 2.71e-06 | 2:15:37 | 0:15:04 +[15:19:57] Generating 16 validation images ... +[15:20:11] Validation at step 9000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0009000.png + 9050 | 1 | 0.857753 | 0.785023 | 2.45e-06 | 2:16:36 | 0:14:20 + 9100 | 1 | 0.800855 | 0.784232 | 2.20e-06 | 2:17:20 | 0:13:34 + 9150 | 1 | 0.790479 | 0.784327 | 1.96e-06 | 2:18:04 | 0:12:49 + 9200 | 1 | 0.743651 | 0.783467 | 1.74e-06 | 2:18:48 | 0:12:04 + 9250 | 1 | 0.638522 | 0.781415 | 1.53e-06 | 2:19:32 | 0:11:18 + 9300 | 1 | 0.628088 | 0.780288 | 1.33e-06 | 2:20:16 | 0:10:33 + 9350 | 1 | 0.706809 | 0.779755 | 1.15e-06 | 2:21:01 | 0:09:48 + 9400 | 1 | 0.821831 | 0.779911 | 9.81e-07 | 2:21:45 | 0:09:02 + 9450 | 1 | 0.657776 | 0.778038 | 8.25e-07 | 2:22:29 | 0:08:17 + 9500 | 1 | 0.824189 | 0.777078 | 6.82e-07 | 2:23:13 | 0:07:32 + 9550 | 1 | 0.815920 | 0.776185 | 5.53e-07 | 2:23:57 | 0:06:47 + 9600 | 1 | 0.692234 | 0.774178 | 4.37e-07 | 2:24:41 | 0:06:01 + 9650 | 1 | 0.750067 | 0.774943 | 3.35e-07 | 2:25:25 | 0:05:16 + 9700 | 1 | 0.845532 | 0.775122 | 2.46e-07 | 2:26:09 | 0:04:31 + 9750 | 1 | 0.657181 | 0.773939 | 1.71e-07 | 2:26:54 | 0:03:46 + 9800 | 1 | 0.705221 | 0.772793 | 1.09e-07 | 2:27:38 | 0:03:00 + 9850 | 1 | 0.790624 | 0.772682 | 6.15e-08 | 2:28:22 | 0:02:15 + 9900 | 1 | 0.818598 | 0.773911 | 2.73e-08 | 2:29:06 | 0:01:30 + 9950 | 1 | 0.761922 | 0.774247 | 6.83e-09 | 2:29:50 | 0:00:45 + 10000 | 1 | 0.710589 | 0.774948 | 0.00e+00 | 2:30:34 | 0:00:00 +[15:35:09] Saved checkpoint -> RESULTS/cub200/run_005/checkpoint-10000 +[15:35:11] Removed old checkpoint: checkpoint-4000 +[15:35:11] Generating 16 validation images ... +[15:35:25] Validation at step 10000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0010000.png +[15:35:26] --- Epoch 1 complete | Steps: 4843 | Avg Loss: 0.787865 --- +[15:35:26] Saving final model ... +[15:35:36] Pipeline saved -> RESULTS/cub200/run_005 +[15:35:36] Generating final validation collage ... +[15:35:36] Generating 16 validation images ... +[15:35:50] Validation at step 10000: generated 16 images -> RESULTS/cub200/run_005/validation/collage_step_0010000.png +[15:35:51] +[15:35:51] ============================================================ +[15:35:51] TRAINING SUMMARY +[15:35:51] ============================================================ +[15:35:51] Total steps : 200 +[15:35:51] Final loss : 0.710589 +[15:35:51] Avg last 100 : 0.774948 +[15:35:51] Min loss : 0.588730 +[15:35:51] Total time : 2:31:30 +[15:35:51] Output : RESULTS/cub200/run_005 +[15:35:51] ============================================================ diff --git a/cub200/sana 1.6/Baseline/training_args.json b/cub200/sana 1.6/Baseline/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..2056b4113d6740ea84d48829501870bbdbdc4d09 --- /dev/null +++ b/cub200/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/cub200", + "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": 2, + "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/cub200/run_005" +} \ No newline at end of file diff --git a/cub200/sana 1.6/Baseline/training_summary.json b/cub200/sana 1.6/Baseline/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8b97e0366d9543357497917ebe1d4812fe8cbb6f --- /dev/null +++ b/cub200/sana 1.6/Baseline/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.7105889320373535, + "avg_last_100": 0.7749476593732834, + "min_loss": 0.5887300968170166, + "total_time": "2:31:30" +} \ No newline at end of file diff --git a/cub200/sana 1.6/RAD/model_index.json b/cub200/sana 1.6/RAD/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/cub200/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/cub200/sana 1.6/RAD/training.log b/cub200/sana 1.6/RAD/training.log new file mode 100644 index 0000000000000000000000000000000000000000..e5abdc5bf24fbab58d1592092d3a58835d5fef6a --- /dev/null +++ b/cub200/sana 1.6/RAD/training.log @@ -0,0 +1,304 @@ +Training started: 2026-07-25 11:34:48 +========================================================================================================================================================================== + Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA +-------------------------------------------------------------------------------------------------------------------------------------------------------------------------- +[11:34:48] Run directory: RESULTS/cub200/run_004 +[11:34:48] cuDNN SDPA disabled -- Flash/math backend for bf16 compatibility +[11:34:48] AGD: temperature=0.1, curriculum_steps=5000, max_delta=300 +[11:34:48] TAM: enabled=True, alpha=0.9, factor=0.5 +[11:34:48] SAD: enabled=True, temperature=0.5 +[11:34:48] Loading pretrained SANA components ... +[11:37:09] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[11:37:09] Building dataset ... +[11:37:09] TAM initialised: 41255 samples tracked. +[11:37:09] +[11:37:09] ======================================================================== +[11:37:09] Output dir = RESULTS/cub200/run_004 +[11:37:09] Num examples = 41255 +[11:37:09] Num epochs = 2 +[11:37:09] Batch/device = 8 +[11:37:09] Effective BS = 8 +[11:37:09] Total optim steps = 10000 +[11:37:09] LR = 0.0001 +[11:37:09] Precision = bf16 +[11:37:09] --- AGD Easy-to-Hard Curriculum --- +[11:37:09] AGD temperature = 0.1 +[11:37:09] Curriculum steps = 5000 +[11:37:09] Max timestep delta = 300 +[11:37:09] --- TAM: Temporal Advantage Memory --- +[11:37:09] TAM enabled = True +[11:37:09] TAM alpha (EMA decay) = 0.9 +[11:37:09] TAM factor (modulation)= 0.5 +[11:37:09] TAM log every = 500 steps +[11:37:09] --- SAD: Spectral Advantage Decomposition --- +[11:37:09] SAD enabled = True +[11:37:09] SAD temperature = 0.5 +[11:37:09] ======================================================================== +[11:37:09] + 50 | 0 | 0.879014 | 0.879014 | 0.835763 | 0.825701 | -0.010061 | 1.0000 | 0.0000 | 3.00 | 1.00e-05 | 0:03:24 | 11:19:13 + 100 | 0 | 0.808075 | 0.843544 | 0.785504 | 0.798359 | 0.012856 | 1.0000 | 0.0000 | 6.00 | 2.00e-05 | 0:05:12 | 8:35:39 + 150 | 0 | 0.818948 | 0.835346 | 0.803673 | 0.789776 | -0.013896 | 1.0000 | -0.0000 | 9.00 | 3.00e-05 | 0:07:06 | 7:46:35 + 200 | 0 | 0.914351 | 0.855097 | 0.911270 | 0.916168 | 0.004898 | 1.0000 | -0.0000 | 12.00 | 4.00e-05 | 0:08:59 | 7:20:42 + 250 | 0 | 0.705306 | 0.825139 | 0.715720 | 0.716705 | 0.000985 | 1.0000 | -0.0000 | 15.00 | 5.00e-05 | 0:10:53 | 7:04:54 + 300 | 0 | 0.852324 | 0.829670 | 0.868305 | 0.852876 | -0.015429 | 1.0000 | -0.0000 | 18.00 | 6.00e-05 | 0:12:47 | 6:53:47 + 350 | 0 | 0.813847 | 0.827409 | 0.796427 | 0.806156 | 0.009728 | 1.0000 | -0.0000 | 21.00 | 7.00e-05 | 0:14:41 | 6:45:15 + 400 | 0 | 0.672765 | 0.808079 | 0.693400 | 0.679695 | -0.013704 | 1.0000 | -0.0000 | 24.00 | 8.00e-05 | 0:16:35 | 6:38:22 + 450 | 0 | 0.592312 | 0.784105 | 0.612012 | 0.589066 | -0.022946 | 1.0000 | -0.0000 | 27.00 | 9.00e-05 | 0:18:29 | 6:32:35 + 500 | 0 | 0.731200 | 0.778814 | 0.744041 | 0.739949 | -0.004092 | 1.0000 | -0.0001 | 30.00 | 1.00e-04 | 0:20:23 | 6:27:28 +[11:55:12] [TAM stats @ step 500] mean=-0.0001 std=0.0011 max=0.0312 min=-0.0177 visits=4000 + 550 | 0 | 0.747936 | 0.776007 | 0.781892 | 0.765240 | -0.016652 | 1.0000 | -0.0001 | 33.00 | 1.00e-04 | 0:22:17 | 6:22:59 + 600 | 0 | 0.932490 | 0.789047 | 0.958088 | 0.918889 | -0.039199 | 1.0000 | -0.0001 | 36.00 | 1.00e-04 | 0:24:11 | 6:18:58 + 650 | 0 | 0.737282 | 0.785066 | 0.780140 | 0.749599 | -0.030542 | 1.0000 | -0.0001 | 39.00 | 1.00e-04 | 0:26:05 | 6:15:17 + 700 | 0 | 0.694591 | 0.778603 | 0.741006 | 0.728358 | -0.012648 | 1.0000 | -0.0001 | 42.00 | 1.00e-04 | 0:27:59 | 6:11:50 + 750 | 0 | 0.735060 | 0.775700 | 0.768565 | 0.732046 | -0.036519 | 1.0000 | -0.0001 | 45.00 | 1.00e-04 | 0:29:53 | 6:08:37 + 800 | 0 | 0.723865 | 0.772460 | 0.738138 | 0.722559 | -0.015579 | 1.0000 | -0.0002 | 48.00 | 1.00e-04 | 0:31:47 | 6:05:33 + 850 | 0 | 0.875637 | 0.778530 | 0.901673 | 0.885706 | -0.015967 | 1.0000 | -0.0002 | 51.00 | 1.00e-04 | 0:33:40 | 6:02:33 + 900 | 0 | 0.655928 | 0.771718 | 0.712203 | 0.664536 | -0.047667 | 1.0000 | -0.0002 | 54.00 | 1.00e-04 | 0:35:34 | 5:59:45 + 950 | 0 | 1.075172 | 0.787690 | 0.893997 | 0.911760 | 0.017763 | 1.0000 | -0.0002 | 57.00 | 1.00e-04 | 0:37:28 | 5:57:03 + 1000 | 0 | 0.751827 | 0.785897 | 0.737859 | 0.719049 | -0.018810 | 1.0000 | -0.0003 | 60.00 | 1.00e-04 | 0:39:22 | 5:54:25 +[12:14:11] [TAM stats @ step 1000] mean=-0.0003 std=0.0018 max=0.0377 min=-0.0177 visits=8000 +[12:14:11] Generating 16 validation images ... +[12:14:36] Validation at step 1000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0001000.png + 1050 | 0 | 0.737448 | 0.783589 | 0.748816 | 0.720277 | -0.028539 | 1.0000 | -0.0003 | 63.00 | 1.00e-04 | 0:41:42 | 5:55:28 + 1100 | 0 | 1.019726 | 0.794323 | 1.020360 | 0.989780 | -0.030581 | 1.0000 | -0.0003 | 66.00 | 1.00e-04 | 0:43:36 | 5:52:45 + 1150 | 0 | 0.785258 | 0.793929 | 0.774469 | 0.769023 | -0.005446 | 1.0000 | -0.0003 | 69.00 | 1.00e-04 | 0:45:29 | 5:50:06 + 1200 | 0 | 0.767318 | 0.792820 | 0.825525 | 0.784755 | -0.040770 | 1.0000 | -0.0004 | 72.00 | 1.00e-04 | 0:47:23 | 5:47:33 + 1250 | 0 | 0.874243 | 0.796077 | 0.916297 | 0.876704 | -0.039594 | 1.0000 | -0.0004 | 75.00 | 1.00e-04 | 0:49:17 | 5:45:02 + 1300 | 0 | 0.762626 | 0.794790 | 0.821059 | 0.798085 | -0.022974 | 1.0000 | -0.0004 | 78.00 | 1.00e-04 | 0:51:11 | 5:42:35 + 1350 | 0 | 0.802858 | 0.795089 | 0.829891 | 0.819656 | -0.010235 | 1.0000 | -0.0005 | 81.00 | 1.00e-04 | 0:53:05 | 5:40:10 + 1400 | 0 | 0.923059 | 0.799659 | 0.941962 | 0.926386 | -0.015576 | 1.0000 | -0.0005 | 84.00 | 1.00e-04 | 0:54:59 | 5:37:48 + 1450 | 0 | 0.728609 | 0.797209 | 0.767455 | 0.730239 | -0.037216 | 1.0000 | -0.0005 | 87.00 | 1.00e-04 | 0:56:53 | 5:35:25 + 1500 | 0 | 0.758032 | 0.795904 | 0.775672 | 0.719057 | -0.056615 | 1.0000 | -0.0006 | 90.00 | 1.00e-04 | 0:58:46 | 5:33:06 +[12:33:35] [TAM stats @ step 1500] mean=-0.0006 std=0.0027 max=0.0886 min=-0.0183 visits=12000 + 1550 | 0 | 0.666355 | 0.791725 | 0.769742 | 0.716117 | -0.053625 | 1.0000 | -0.0006 | 93.00 | 1.00e-04 | 1:00:18 | 5:28:45 + 1600 | 0 | 0.781808 | 0.791415 | 0.798280 | 0.806250 | 0.007969 | 1.0000 | -0.0007 | 96.00 | 1.00e-04 | 1:01:41 | 5:23:54 + 1650 | 0 | 1.020028 | 0.798342 | 0.827012 | 0.792451 | -0.034561 | 1.0000 | -0.0007 | 99.00 | 1.00e-04 | 1:03:35 | 5:21:49 + 1700 | 0 | 0.801974 | 0.798449 | 0.763973 | 0.725429 | -0.038544 | 1.0000 | -0.0007 | 102.00 | 1.00e-04 | 1:05:29 | 5:19:45 + 1750 | 0 | 0.782502 | 0.797994 | 0.839186 | 0.812511 | -0.026676 | 1.0000 | -0.0008 | 105.00 | 1.00e-04 | 1:07:23 | 5:17:42 + 1800 | 0 | 0.848446 | 0.799395 | 0.867937 | 0.825357 | -0.042579 | 1.0000 | -0.0008 | 108.00 | 1.00e-04 | 1:09:17 | 5:15:39 + 1850 | 0 | 0.895084 | 0.801981 | 0.847392 | 0.805063 | -0.042329 | 1.0000 | -0.0009 | 111.00 | 1.00e-04 | 1:11:11 | 5:13:37 + 1900 | 0 | 0.770637 | 0.801156 | 0.792797 | 0.724327 | -0.068471 | 1.0000 | -0.0009 | 114.00 | 1.00e-04 | 1:13:05 | 5:11:35 + 1950 | 0 | 0.824867 | 0.801764 | 0.835505 | 0.819481 | -0.016024 | 1.0000 | -0.0010 | 117.00 | 1.00e-04 | 1:14:58 | 5:09:32 + 2000 | 0 | 0.820668 | 0.802237 | 0.951064 | 0.882725 | -0.068339 | 1.0000 | -0.0010 | 120.00 | 1.00e-04 | 1:16:53 | 5:07:32 +[12:51:41] [TAM stats @ step 2000] mean=-0.0010 std=0.0037 max=0.0896 min=-0.0251 visits=16000 +[12:51:56] Saved checkpoint -> RESULTS/cub200/run_004/checkpoint-2000 +[12:51:56] Generating 16 validation images ... +[12:52:21] Validation at step 2000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0002000.png + 2050 | 0 | 0.871102 | 0.803917 | 0.763018 | 0.756526 | -0.006492 | 1.0000 | -0.0010 | 123.00 | 1.00e-04 | 1:19:26 | 5:08:05 + 2100 | 0 | 0.632429 | 0.799833 | 0.718589 | 0.653914 | -0.064676 | 1.0000 | -0.0011 | 126.00 | 1.00e-04 | 1:21:20 | 5:06:01 + 2150 | 0 | 0.849662 | 0.800992 | 0.879401 | 0.828838 | -0.050564 | 1.0000 | -0.0011 | 129.00 | 1.00e-04 | 1:23:14 | 5:03:56 + 2200 | 0 | 0.731572 | 0.799415 | 0.707337 | 0.670857 | -0.036480 | 1.0000 | -0.0012 | 132.00 | 1.00e-04 | 1:25:08 | 5:01:52 + 2250 | 0 | 0.856085 | 0.800674 | 0.903954 | 0.841732 | -0.062222 | 1.0000 | -0.0012 | 135.00 | 1.00e-04 | 1:27:02 | 4:59:48 + 2300 | 0 | 0.926770 | 0.803415 | 0.803506 | 0.837127 | 0.033621 | 1.0000 | -0.0013 | 138.00 | 1.00e-04 | 1:28:56 | 4:57:45 + 2350 | 0 | 0.749778 | 0.802274 | 0.826867 | 0.769063 | -0.057804 | 1.0000 | -0.0013 | 141.00 | 1.00e-04 | 1:30:50 | 4:55:42 + 2400 | 0 | 0.783795 | 0.801889 | 0.922137 | 0.802336 | -0.119801 | 1.0000 | -0.0014 | 144.00 | 1.00e-04 | 1:32:44 | 4:53:39 + 2450 | 0 | 0.906544 | 0.804025 | 0.912353 | 0.879066 | -0.033287 | 1.0000 | -0.0015 | 147.00 | 1.00e-04 | 1:34:37 | 4:51:37 + 2500 | 0 | 0.849151 | 0.804927 | 0.854573 | 0.778469 | -0.076105 | 1.0000 | -0.0015 | 150.00 | 1.00e-04 | 1:36:30 | 4:49:31 +[13:11:19] [TAM stats @ step 2500] mean=-0.0015 std=0.0048 max=0.0896 min=-0.0313 visits=20000 + 2550 | 0 | 0.722896 | 0.803319 | 0.811049 | 0.749173 | -0.061876 | 1.0000 | -0.0016 | 153.00 | 1.00e-04 | 1:38:24 | 4:47:30 + 2600 | 0 | 0.829236 | 0.803817 | 0.909483 | 0.799955 | -0.109528 | 1.0000 | -0.0016 | 156.00 | 1.00e-04 | 1:40:18 | 4:45:29 + 2650 | 0 | 0.778533 | 0.803340 | 0.761630 | 0.730677 | -0.030954 | 1.0000 | -0.0017 | 159.00 | 1.00e-04 | 1:42:12 | 4:43:28 + 2700 | 0 | 0.697982 | 0.801389 | 0.778339 | 0.698542 | -0.079796 | 1.0000 | -0.0018 | 162.00 | 1.00e-04 | 1:44:06 | 4:41:27 + 2750 | 0 | 0.778201 | 0.800967 | 0.853724 | 0.791397 | -0.062327 | 1.0000 | -0.0018 | 165.00 | 1.00e-04 | 1:46:00 | 4:39:27 + 2800 | 0 | 0.721442 | 0.799547 | 0.828492 | 0.724098 | -0.104394 | 1.0000 | -0.0019 | 168.00 | 1.00e-04 | 1:47:53 | 4:37:27 + 2850 | 0 | 0.856313 | 0.800543 | 0.748706 | 0.731180 | -0.017525 | 1.0000 | -0.0019 | 171.00 | 1.00e-04 | 1:49:48 | 4:35:27 + 2900 | 0 | 0.697000 | 0.798758 | 0.781348 | 0.680006 | -0.101342 | 1.0000 | -0.0020 | 174.00 | 1.00e-04 | 1:51:42 | 4:33:29 + 2950 | 0 | 0.643872 | 0.796133 | 0.698580 | 0.655275 | -0.043305 | 1.0000 | -0.0021 | 177.00 | 1.00e-04 | 1:53:36 | 4:31:30 + 3000 | 0 | 0.889542 | 0.797690 | 0.869050 | 0.754248 | -0.114802 | 1.0000 | -0.0021 | 180.00 | 1.00e-04 | 1:55:30 | 4:29:30 +[13:30:19] [TAM stats @ step 3000] mean=-0.0021 std=0.0059 max=0.0896 min=-0.0371 visits=24000 +[13:30:19] Generating 16 validation images ... +[13:30:43] Validation at step 3000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0003000.png + 3050 | 0 | 0.826933 | 0.798169 | 0.837460 | 0.770914 | -0.066546 | 1.0000 | -0.0022 | 183.00 | 1.00e-04 | 1:57:15 | 4:27:10 + 3100 | 0 | 0.749347 | 0.797382 | 0.741104 | 0.706705 | -0.034399 | 1.0000 | -0.0023 | 186.00 | 1.00e-04 | 1:59:06 | 4:25:07 + 3150 | 0 | 0.778009 | 0.797074 | 0.859450 | 0.755324 | -0.104127 | 1.0000 | -0.0023 | 189.00 | 1.00e-04 | 2:01:01 | 4:23:09 + 3200 | 0 | 0.787638 | 0.796927 | 0.908145 | 0.769495 | -0.138650 | 1.0000 | -0.0024 | 192.00 | 1.00e-04 | 2:02:54 | 4:21:10 + 3250 | 0 | 0.696658 | 0.795384 | 0.825534 | 0.716595 | -0.108938 | 1.0000 | -0.0025 | 195.00 | 1.00e-04 | 2:04:48 | 4:19:12 + 3300 | 0 | 0.536680 | 0.791464 | 0.690631 | 0.598443 | -0.092189 | 1.0000 | -0.0026 | 198.00 | 1.00e-04 | 2:05:55 | 4:15:39 + 3350 | 0 | 0.763284 | 0.791044 | 0.812072 | 0.755991 | -0.056081 | 1.0000 | -0.0026 | 201.00 | 1.00e-04 | 2:06:56 | 4:11:58 + 3400 | 0 | 0.969135 | 0.793663 | 0.758835 | 0.771894 | 0.013060 | 1.0000 | -0.0027 | 204.00 | 1.00e-04 | 2:07:56 | 4:08:21 + 3450 | 0 | 0.613272 | 0.791048 | 0.738439 | 0.658563 | -0.079876 | 1.0000 | -0.0028 | 207.00 | 1.00e-04 | 2:08:56 | 4:04:49 + 3500 | 0 | 0.689863 | 0.789603 | 0.796518 | 0.698344 | -0.098174 | 1.0000 | -0.0029 | 210.00 | 1.00e-04 | 2:09:57 | 4:01:21 +[13:44:46] [TAM stats @ step 3500] mean=-0.0029 std=0.0071 max=0.0896 min=-0.0433 visits=28000 + 3550 | 0 | 0.821341 | 0.790050 | 0.839910 | 0.750486 | -0.089425 | 1.0000 | -0.0029 | 213.00 | 1.00e-04 | 2:10:58 | 3:57:57 + 3600 | 0 | 1.053472 | 0.793709 | 0.846384 | 0.839075 | -0.007308 | 1.0000 | -0.0030 | 216.00 | 1.00e-04 | 2:11:58 | 3:54:37 + 3650 | 0 | 0.659463 | 0.791870 | 0.840032 | 0.717141 | -0.122891 | 1.0000 | -0.0031 | 219.00 | 1.00e-04 | 2:12:59 | 3:51:21 + 3700 | 0 | 0.877037 | 0.793020 | 0.885203 | 0.832443 | -0.052760 | 1.0000 | -0.0032 | 222.00 | 1.00e-04 | 2:13:59 | 3:48:09 + 3750 | 0 | 0.810633 | 0.793255 | 0.761238 | 0.754352 | -0.006886 | 1.0000 | -0.0032 | 225.00 | 1.00e-04 | 2:15:00 | 3:45:00 + 3800 | 0 | 0.743367 | 0.792599 | 0.676331 | 0.623584 | -0.052747 | 1.0000 | -0.0033 | 228.00 | 1.00e-04 | 2:16:01 | 3:41:55 + 3850 | 0 | 0.871304 | 0.793621 | 0.925163 | 0.823303 | -0.101860 | 1.0000 | -0.0034 | 231.00 | 1.00e-04 | 2:17:02 | 3:38:54 + 3900 | 0 | 0.634920 | 0.791586 | 0.790571 | 0.657418 | -0.133153 | 1.0000 | -0.0035 | 234.00 | 1.00e-04 | 2:18:02 | 3:35:55 + 3950 | 0 | 0.674585 | 0.790105 | 0.876983 | 0.706699 | -0.170284 | 1.0000 | -0.0036 | 237.00 | 1.00e-04 | 2:19:03 | 3:32:59 + 4000 | 0 | 0.790624 | 0.790112 | 0.792560 | 0.732251 | -0.060310 | 1.0000 | -0.0037 | 240.00 | 1.00e-04 | 2:20:04 | 3:30:06 +[13:54:53] [TAM stats @ step 4000] mean=-0.0037 std=0.0084 max=0.1692 min=-0.0433 visits=32000 +[13:55:07] Saved checkpoint -> RESULTS/cub200/run_004/checkpoint-4000 +[13:55:07] Generating 16 validation images ... +[13:55:21] Validation at step 4000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0004000.png + 4050 | 0 | 0.884357 | 0.791275 | 0.750174 | 0.668186 | -0.081988 | 1.0000 | -0.0037 | 243.00 | 1.00e-04 | 2:21:33 | 3:27:58 + 4100 | 0 | 0.870818 | 0.792245 | 0.871664 | 0.763999 | -0.107665 | 1.0000 | -0.0038 | 246.00 | 1.00e-04 | 2:22:34 | 3:25:09 + 4150 | 0 | 0.789455 | 0.792212 | 0.783411 | 0.675130 | -0.108281 | 1.0000 | -0.0039 | 249.00 | 1.00e-04 | 2:23:34 | 3:22:23 + 4200 | 0 | 1.023830 | 0.794969 | 0.837840 | 0.704191 | -0.133649 | 1.0000 | -0.0040 | 252.00 | 1.00e-04 | 2:24:35 | 3:19:40 + 4250 | 0 | 0.811045 | 0.795158 | 0.847749 | 0.783914 | -0.063835 | 1.0000 | -0.0041 | 255.00 | 1.00e-04 | 2:25:36 | 3:17:00 + 4300 | 0 | 0.975390 | 0.797254 | 0.761130 | 0.733445 | -0.027684 | 1.0000 | -0.0041 | 258.00 | 1.00e-04 | 2:26:37 | 3:14:21 + 4350 | 0 | 0.595563 | 0.794936 | 0.765218 | 0.651643 | -0.113575 | 1.0000 | -0.0042 | 261.00 | 1.00e-04 | 2:27:38 | 3:11:45 + 4400 | 0 | 0.724884 | 0.794140 | 0.794751 | 0.695886 | -0.098866 | 1.0000 | -0.0043 | 264.00 | 1.00e-04 | 2:28:38 | 3:09:11 + 4450 | 0 | 0.851723 | 0.794787 | 0.824281 | 0.740825 | -0.083456 | 1.0000 | -0.0044 | 267.00 | 1.00e-04 | 2:29:39 | 3:06:39 + 4500 | 0 | 0.814420 | 0.795005 | 0.911892 | 0.791274 | -0.120618 | 1.0000 | -0.0045 | 270.00 | 1.00e-04 | 2:30:40 | 3:04:09 +[14:05:29] [TAM stats @ step 4500] mean=-0.0045 std=0.0096 max=0.1692 min=-0.0440 visits=36000 + 4550 | 0 | 0.881112 | 0.795951 | 0.912898 | 0.764992 | -0.147905 | 1.0000 | -0.0046 | 273.00 | 1.00e-04 | 2:31:41 | 3:01:41 + 4600 | 0 | 0.860471 | 0.796652 | 0.886705 | 0.780212 | -0.106493 | 1.0000 | -0.0047 | 276.00 | 1.00e-04 | 2:32:42 | 2:59:15 + 4650 | 0 | 0.583611 | 0.794362 | 0.670827 | 0.575151 | -0.095675 | 1.0000 | -0.0048 | 279.00 | 1.00e-04 | 2:33:42 | 2:56:51 + 4700 | 0 | 0.716887 | 0.793537 | 0.843681 | 0.669514 | -0.174166 | 1.0000 | -0.0048 | 282.00 | 1.00e-04 | 2:34:43 | 2:54:28 + 4750 | 0 | 0.555912 | 0.791036 | 0.788532 | 0.656070 | -0.132462 | 1.0000 | -0.0049 | 285.00 | 1.00e-04 | 2:35:44 | 2:52:08 + 4800 | 0 | 0.918827 | 0.792367 | 0.816456 | 0.743951 | -0.072505 | 1.0000 | -0.0050 | 288.00 | 1.00e-04 | 2:36:45 | 2:49:49 + 4850 | 0 | 0.745311 | 0.791882 | 0.806384 | 0.720801 | -0.085583 | 1.0000 | -0.0051 | 291.00 | 1.00e-04 | 2:37:45 | 2:47:31 + 4900 | 0 | 0.633640 | 0.790267 | 0.721845 | 0.618700 | -0.103145 | 1.0000 | -0.0052 | 294.00 | 1.00e-04 | 2:38:46 | 2:45:15 + 4950 | 0 | 0.855902 | 0.790930 | 0.724155 | 0.729230 | 0.005075 | 1.0000 | -0.0053 | 297.00 | 1.00e-04 | 2:39:47 | 2:43:01 + 5000 | 0 | 0.781020 | 0.790831 | 0.646057 | 0.665997 | 0.019940 | 1.0000 | -0.0054 | 300.00 | 1.00e-04 | 2:40:48 | 2:40:48 +[14:15:36] [TAM stats @ step 5000] mean=-0.0054 std=0.0109 max=0.1692 min=-0.0483 visits=40000 +[14:15:36] Generating 16 validation images ... +[14:15:51] Validation at step 5000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0005000.png + 5050 | 0 | 0.738171 | 0.789423 | 0.810681 | 0.724124 | -0.086557 | 1.0000 | -0.0054 | 300.00 | 1.00e-04 | 2:42:03 | 2:38:50 + 5100 | 0 | 0.941185 | 0.790754 | 0.775567 | 0.709023 | -0.066544 | 1.0000 | -0.0055 | 300.00 | 1.00e-04 | 2:43:04 | 2:36:40 + 5150 | 0 | 0.827589 | 0.790840 | 0.713253 | 0.664486 | -0.048767 | 1.0000 | -0.0055 | 300.00 | 1.00e-04 | 2:44:04 | 2:34:31 +[14:19:01] --- Epoch 0 complete | Steps: 5157 | Avg Loss: 0.766933 --- + 5200 | 1 | 0.760300 | 0.789300 | 0.810477 | 0.782948 | -0.027528 | 1.0000 | -0.0056 | 300.00 | 1.00e-04 | 2:45:05 | 2:32:23 + 5250 | 1 | 0.646923 | 0.788716 | 0.704682 | 0.673224 | -0.031458 | 1.0000 | -0.0057 | 300.00 | 1.00e-04 | 2:46:05 | 2:30:16 + 5300 | 1 | 0.677734 | 0.786970 | 0.744493 | 0.702954 | -0.041538 | 1.0000 | -0.0057 | 300.00 | 1.00e-04 | 2:47:06 | 2:28:11 + 5350 | 1 | 0.808552 | 0.786917 | 0.723784 | 0.654477 | -0.069307 | 1.0000 | -0.0058 | 300.00 | 1.00e-04 | 2:48:06 | 2:26:07 + 5400 | 1 | 0.993670 | 0.790126 | 0.824994 | 0.799544 | -0.025450 | 1.0000 | -0.0058 | 300.00 | 1.00e-04 | 2:49:07 | 2:24:04 + 5450 | 1 | 0.748939 | 0.791692 | 0.825181 | 0.728222 | -0.096959 | 1.0000 | -0.0059 | 300.00 | 1.00e-04 | 2:50:07 | 2:22:02 + 5500 | 1 | 0.720452 | 0.791585 | 0.746382 | 0.635228 | -0.111154 | 1.0000 | -0.0059 | 300.00 | 1.00e-04 | 2:51:08 | 2:20:01 +[14:25:57] [TAM stats @ step 5500] mean=-0.0059 std=0.0114 max=0.1658 min=-0.0668 visits=43999 + 5550 | 1 | 0.800117 | 0.792107 | 0.805386 | 0.788286 | -0.017101 | 1.0000 | -0.0060 | 300.00 | 1.00e-04 | 2:52:09 | 2:18:02 + 5600 | 1 | 0.782228 | 0.790604 | 0.815054 | 0.782690 | -0.032364 | 1.0000 | -0.0060 | 300.00 | 1.00e-04 | 2:53:10 | 2:16:03 + 5650 | 1 | 0.707293 | 0.790304 | 0.772694 | 0.732829 | -0.039865 | 1.0000 | -0.0061 | 300.00 | 1.00e-04 | 2:54:11 | 2:14:06 + 5700 | 1 | 0.791182 | 0.791270 | 0.666875 | 0.563164 | -0.103710 | 1.0000 | -0.0061 | 300.00 | 1.00e-04 | 2:55:11 | 2:12:09 + 5750 | 1 | 0.591442 | 0.789834 | 0.762665 | 0.657958 | -0.104708 | 1.0000 | -0.0062 | 300.00 | 1.00e-04 | 2:56:12 | 2:10:14 + 5800 | 1 | 0.592385 | 0.788519 | 0.728772 | 0.625376 | -0.103396 | 1.0000 | -0.0062 | 300.00 | 1.00e-04 | 2:57:13 | 2:08:20 + 5850 | 1 | 0.662582 | 0.786389 | 0.807080 | 0.720717 | -0.086362 | 1.0000 | -0.0063 | 300.00 | 1.00e-04 | 2:58:14 | 2:06:26 + 5900 | 1 | 0.620875 | 0.786038 | 0.682006 | 0.613310 | -0.068697 | 1.0000 | -0.0063 | 300.00 | 1.00e-04 | 2:59:14 | 2:04:33 + 5950 | 1 | 0.784191 | 0.783128 | 0.860765 | 0.774318 | -0.086446 | 1.0000 | -0.0063 | 300.00 | 1.00e-04 | 3:00:15 | 2:02:41 + 6000 | 1 | 0.712579 | 0.782736 | 0.801237 | 0.735571 | -0.065666 | 1.0000 | -0.0064 | 300.00 | 1.00e-04 | 3:01:16 | 2:00:51 +[14:36:05] [TAM stats @ step 6000] mean=-0.0064 std=0.0119 max=0.2146 min=-0.0668 visits=47999 +[14:36:19] Saved checkpoint -> RESULTS/cub200/run_004/checkpoint-6000 +[14:36:19] Generating 16 validation images ... +[14:36:33] Validation at step 6000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0006000.png + 6050 | 1 | 0.704453 | 0.782406 | 0.752209 | 0.650619 | -0.101590 | 1.0000 | -0.0064 | 300.00 | 1.00e-04 | 3:02:45 | 1:59:19 + 6100 | 1 | 1.098776 | 0.783196 | 0.926404 | 0.884632 | -0.041771 | 1.0000 | -0.0065 | 300.00 | 1.00e-04 | 3:03:46 | 1:57:29 + 6150 | 1 | 0.934414 | 0.784688 | 0.872783 | 0.766330 | -0.106454 | 1.0000 | -0.0065 | 300.00 | 1.00e-04 | 3:04:46 | 1:55:40 + 6200 | 1 | 0.690958 | 0.783924 | 0.799561 | 0.740158 | -0.059404 | 1.0000 | -0.0066 | 300.00 | 1.00e-04 | 3:05:47 | 1:53:52 + 6250 | 1 | 0.689937 | 0.782081 | 0.768530 | 0.694955 | -0.073575 | 1.0000 | -0.0066 | 300.00 | 1.00e-04 | 3:06:48 | 1:52:05 + 6300 | 1 | 0.633151 | 0.780787 | 0.722673 | 0.704763 | -0.017910 | 1.0000 | -0.0067 | 300.00 | 1.00e-04 | 3:07:49 | 1:50:18 + 6350 | 1 | 0.861976 | 0.781378 | 0.859399 | 0.843924 | -0.015474 | 1.0000 | -0.0067 | 300.00 | 1.00e-04 | 3:08:50 | 1:48:32 + 6400 | 1 | 0.875713 | 0.780904 | 0.827067 | 0.766054 | -0.061014 | 1.0000 | -0.0068 | 300.00 | 1.00e-04 | 3:09:51 | 1:46:47 + 6450 | 1 | 0.770510 | 0.781323 | 0.795508 | 0.767234 | -0.028274 | 1.0000 | -0.0068 | 300.00 | 1.00e-04 | 3:10:52 | 1:45:03 + 6500 | 1 | 0.721352 | 0.780956 | 0.756101 | 0.748203 | -0.007898 | 1.0000 | -0.0069 | 300.00 | 1.00e-04 | 3:11:52 | 1:43:19 +[14:46:41] [TAM stats @ step 6500] mean=-0.0069 std=0.0124 max=0.2146 min=-0.0727 visits=51999 + 6550 | 1 | 0.696493 | 0.781258 | 0.846685 | 0.663705 | -0.182980 | 1.0000 | -0.0069 | 300.00 | 1.00e-04 | 3:12:53 | 1:41:36 + 6600 | 1 | 0.864744 | 0.782087 | 0.833541 | 0.777044 | -0.056497 | 1.0000 | -0.0070 | 300.00 | 1.00e-04 | 3:13:54 | 1:39:53 + 6650 | 1 | 0.778769 | 0.779675 | 0.836113 | 0.805053 | -0.031060 | 1.0000 | -0.0070 | 300.00 | 1.00e-04 | 3:14:55 | 1:38:11 + 6700 | 1 | 0.746552 | 0.779120 | 0.742867 | 0.717342 | -0.025525 | 1.0000 | -0.0071 | 300.00 | 1.00e-04 | 3:15:56 | 1:36:30 + 6750 | 1 | 0.633264 | 0.777628 | 0.726958 | 0.603690 | -0.123267 | 1.0000 | -0.0071 | 300.00 | 1.00e-04 | 3:16:56 | 1:34:49 + 6800 | 1 | 0.704163 | 0.776185 | 0.787269 | 0.721881 | -0.065388 | 1.0000 | -0.0071 | 300.00 | 1.00e-04 | 3:17:57 | 1:33:09 + 6850 | 1 | 0.607298 | 0.773307 | 0.786033 | 0.645007 | -0.141025 | 1.0000 | -0.0072 | 300.00 | 1.00e-04 | 3:18:57 | 1:31:29 + 6900 | 1 | 0.799981 | 0.773601 | 0.798984 | 0.799424 | 0.000439 | 1.0000 | -0.0072 | 300.00 | 1.00e-04 | 3:19:59 | 1:29:50 + 6950 | 1 | 0.793337 | 0.773285 | 0.844399 | 0.817767 | -0.026632 | 1.0000 | -0.0073 | 300.00 | 1.00e-04 | 3:20:59 | 1:28:12 + 7000 | 1 | 0.895284 | 0.774032 | 0.820485 | 0.835117 | 0.014632 | 1.0000 | -0.0073 | 300.00 | 1.00e-04 | 3:22:00 | 1:26:34 +[14:56:48] [TAM stats @ step 7000] mean=-0.0073 std=0.0129 max=0.2208 min=-0.0727 visits=55999 +[14:56:48] Generating 16 validation images ... +[14:57:03] Validation at step 7000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0007000.png + 7050 | 1 | 0.736678 | 0.772687 | 0.783832 | 0.774704 | -0.009127 | 1.0000 | -0.0074 | 300.00 | 1.00e-04 | 3:23:14 | 1:25:02 + 7100 | 1 | 0.641742 | 0.772781 | 0.658769 | 0.635201 | -0.023567 | 1.0000 | -0.0074 | 300.00 | 1.00e-04 | 3:24:15 | 1:23:25 + 7150 | 1 | 0.727458 | 0.771558 | 0.721543 | 0.657324 | -0.064219 | 1.0000 | -0.0075 | 300.00 | 1.00e-04 | 3:25:16 | 1:21:49 + 7200 | 1 | 0.755440 | 0.771797 | 0.641324 | 0.656399 | 0.015075 | 1.0000 | -0.0075 | 300.00 | 1.00e-04 | 3:26:17 | 1:20:13 + 7250 | 1 | 1.024041 | 0.773477 | 0.827686 | 0.744193 | -0.083493 | 1.0000 | -0.0076 | 300.00 | 1.00e-04 | 3:27:18 | 1:18:38 + 7300 | 1 | 0.798862 | 0.772198 | 0.841150 | 0.787382 | -0.053768 | 1.0000 | -0.0076 | 300.00 | 1.00e-04 | 3:28:19 | 1:17:03 + 7350 | 1 | 0.661164 | 0.771311 | 0.721292 | 0.624934 | -0.096358 | 1.0000 | -0.0077 | 300.00 | 1.00e-04 | 3:29:20 | 1:15:28 + 7400 | 1 | 0.844145 | 0.771915 | 0.893177 | 0.840534 | -0.052643 | 1.0000 | -0.0078 | 300.00 | 1.00e-04 | 3:30:20 | 1:13:54 + 7450 | 1 | 0.878973 | 0.771639 | 0.896754 | 0.777210 | -0.119543 | 1.0000 | -0.0078 | 300.00 | 1.00e-04 | 3:31:21 | 1:12:20 + 7500 | 1 | 1.120407 | 0.774352 | 0.841189 | 0.844372 | 0.003183 | 1.0000 | -0.0079 | 300.00 | 1.00e-04 | 3:32:22 | 1:10:47 +[15:07:11] [TAM stats @ step 7500] mean=-0.0079 std=0.0134 max=0.2208 min=-0.0727 visits=59999 + 7550 | 1 | 0.779225 | 0.774915 | 0.806902 | 0.765786 | -0.041116 | 1.0000 | -0.0079 | 300.00 | 1.00e-04 | 3:33:23 | 1:09:14 + 7600 | 1 | 0.571293 | 0.772336 | 0.588946 | 0.529435 | -0.059511 | 1.0000 | -0.0080 | 300.00 | 1.00e-04 | 3:34:24 | 1:07:42 + 7650 | 1 | 0.816130 | 0.772712 | 0.754523 | 0.734462 | -0.020061 | 1.0000 | -0.0080 | 300.00 | 1.00e-04 | 3:35:25 | 1:06:10 + 7700 | 1 | 0.741247 | 0.773144 | 0.638425 | 0.672750 | 0.034325 | 1.0000 | -0.0081 | 300.00 | 1.00e-04 | 3:36:25 | 1:04:38 + 7750 | 1 | 0.799080 | 0.773353 | 0.759667 | 0.676170 | -0.083497 | 1.0000 | -0.0081 | 300.00 | 1.00e-04 | 3:37:26 | 1:03:07 + 7800 | 1 | 0.769811 | 0.773837 | 0.788440 | 0.779154 | -0.009286 | 1.0000 | -0.0082 | 300.00 | 1.00e-04 | 3:38:27 | 1:01:36 + 7850 | 1 | 0.661006 | 0.771884 | 0.788211 | 0.706968 | -0.081243 | 1.0000 | -0.0082 | 300.00 | 1.00e-04 | 3:39:27 | 1:00:06 + 7900 | 1 | 0.640492 | 0.771319 | 0.656766 | 0.617155 | -0.039610 | 1.0000 | -0.0083 | 300.00 | 1.00e-04 | 3:40:28 | 0:58:36 + 7950 | 1 | 0.850493 | 0.773385 | 0.878630 | 0.828532 | -0.050099 | 1.0000 | -0.0083 | 300.00 | 1.00e-04 | 3:41:29 | 0:57:06 + 8000 | 1 | 0.576518 | 0.770255 | 0.734665 | 0.645076 | -0.089589 | 1.0000 | -0.0084 | 300.00 | 1.00e-04 | 3:42:29 | 0:55:37 +[15:17:18] [TAM stats @ step 8000] mean=-0.0084 std=0.0138 max=0.2208 min=-0.0727 visits=63999 +[15:17:32] Saved checkpoint -> RESULTS/cub200/run_004/checkpoint-8000 +[15:17:34] Removed old checkpoint: checkpoint-2000 +[15:17:34] Generating 16 validation images ... +[15:17:48] Validation at step 8000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0008000.png + 8050 | 1 | 0.824590 | 0.770231 | 0.763833 | 0.766821 | 0.002988 | 1.0000 | -0.0084 | 300.00 | 1.00e-04 | 3:44:00 | 0:54:15 + 8100 | 1 | 0.813849 | 0.770876 | 0.940915 | 0.832281 | -0.108635 | 1.0000 | -0.0085 | 300.00 | 1.00e-04 | 3:45:00 | 0:52:46 + 8150 | 1 | 0.872231 | 0.771818 | 0.853306 | 0.823650 | -0.029656 | 1.0000 | -0.0085 | 300.00 | 1.00e-04 | 3:46:01 | 0:51:18 + 8200 | 1 | 0.617841 | 0.770120 | 0.682953 | 0.625036 | -0.057916 | 1.0000 | -0.0086 | 300.00 | 1.00e-04 | 3:47:02 | 0:49:50 + 8250 | 1 | 0.743312 | 0.770587 | 0.902439 | 0.727258 | -0.175182 | 1.0000 | -0.0086 | 300.00 | 1.00e-04 | 3:48:02 | 0:48:22 + 8300 | 1 | 0.747834 | 0.772699 | 0.850410 | 0.736600 | -0.113811 | 1.0000 | -0.0087 | 300.00 | 1.00e-04 | 3:49:03 | 0:46:54 + 8350 | 1 | 0.599947 | 0.771065 | 0.785419 | 0.638423 | -0.146996 | 1.0000 | -0.0087 | 300.00 | 1.00e-04 | 3:50:03 | 0:45:27 + 8400 | 1 | 0.737057 | 0.768744 | 0.794673 | 0.701383 | -0.093290 | 1.0000 | -0.0088 | 300.00 | 1.00e-04 | 3:51:04 | 0:44:00 + 8450 | 1 | 0.678692 | 0.769399 | 0.699937 | 0.706189 | 0.006252 | 1.0000 | -0.0088 | 300.00 | 1.00e-04 | 3:52:05 | 0:42:34 + 8500 | 1 | 0.826510 | 0.770765 | 0.839967 | 0.801317 | -0.038650 | 1.0000 | -0.0089 | 300.00 | 1.00e-04 | 3:53:05 | 0:41:08 +[15:27:54] [TAM stats @ step 8500] mean=-0.0089 std=0.0142 max=0.2208 min=-0.0727 visits=67999 + 8550 | 1 | 0.757571 | 0.770127 | 0.846439 | 0.721336 | -0.125103 | 1.0000 | -0.0089 | 300.00 | 1.00e-04 | 3:54:06 | 0:39:42 + 8600 | 1 | 0.793099 | 0.767524 | 0.840818 | 0.765546 | -0.075272 | 1.0000 | -0.0090 | 300.00 | 1.00e-04 | 3:55:07 | 0:38:16 + 8650 | 1 | 0.984202 | 0.770771 | 0.836745 | 0.755383 | -0.081362 | 1.0000 | -0.0090 | 300.00 | 1.00e-04 | 3:56:07 | 0:36:51 + 8700 | 1 | 0.753942 | 0.769540 | 0.838854 | 0.759227 | -0.079628 | 1.0000 | -0.0091 | 300.00 | 1.00e-04 | 3:57:08 | 0:35:26 + 8750 | 1 | 0.773319 | 0.769167 | 0.831081 | 0.755589 | -0.075492 | 1.0000 | -0.0091 | 300.00 | 1.00e-04 | 3:58:08 | 0:34:01 + 8800 | 1 | 0.647733 | 0.768211 | 0.668531 | 0.639373 | -0.029158 | 1.0000 | -0.0092 | 300.00 | 1.00e-04 | 3:59:09 | 0:32:36 + 8850 | 1 | 0.741340 | 0.766911 | 0.712686 | 0.641942 | -0.070744 | 1.0000 | -0.0092 | 300.00 | 1.00e-04 | 4:00:09 | 0:31:12 + 8900 | 1 | 0.989323 | 0.770455 | 0.719778 | 0.773474 | 0.053696 | 1.0000 | -0.0093 | 300.00 | 1.00e-04 | 4:01:10 | 0:29:48 + 8950 | 1 | 0.911852 | 0.772828 | 0.958296 | 0.758688 | -0.199608 | 1.0000 | -0.0093 | 300.00 | 1.00e-04 | 4:02:10 | 0:28:24 + 9000 | 1 | 0.679356 | 0.771715 | 0.672471 | 0.647054 | -0.025417 | 1.0000 | -0.0094 | 300.00 | 1.00e-04 | 4:03:11 | 0:27:01 +[15:38:00] [TAM stats @ step 9000] mean=-0.0094 std=0.0145 max=0.2208 min=-0.0727 visits=71999 +[15:38:00] Generating 16 validation images ... +[15:38:14] Validation at step 9000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0009000.png + 9050 | 1 | 0.647052 | 0.769342 | 0.753160 | 0.646926 | -0.106234 | 1.0000 | -0.0094 | 300.00 | 1.00e-04 | 4:04:26 | 0:25:39 + 9100 | 1 | 0.990386 | 0.770538 | 0.806451 | 0.840603 | 0.034151 | 1.0000 | -0.0095 | 300.00 | 1.00e-04 | 4:05:26 | 0:24:16 + 9150 | 1 | 0.793226 | 0.770575 | 0.824689 | 0.810542 | -0.014147 | 1.0000 | -0.0095 | 300.00 | 1.00e-04 | 4:06:26 | 0:22:53 + 9200 | 1 | 0.585200 | 0.766189 | 0.670189 | 0.589529 | -0.080660 | 1.0000 | -0.0096 | 300.00 | 1.00e-04 | 4:07:27 | 0:21:31 + 9250 | 1 | 0.768451 | 0.765763 | 0.772053 | 0.736000 | -0.036052 | 1.0000 | -0.0096 | 300.00 | 1.00e-04 | 4:08:27 | 0:20:08 + 9300 | 1 | 0.832912 | 0.764338 | 0.833377 | 0.821301 | -0.012076 | 1.0000 | -0.0097 | 300.00 | 1.00e-04 | 4:09:27 | 0:18:46 + 9350 | 1 | 0.870631 | 0.767089 | 0.848143 | 0.840698 | -0.007445 | 1.0000 | -0.0097 | 300.00 | 1.00e-04 | 4:10:28 | 0:17:24 + 9400 | 1 | 0.733432 | 0.767174 | 0.852315 | 0.658748 | -0.193567 | 1.0000 | -0.0098 | 300.00 | 1.00e-04 | 4:11:28 | 0:16:03 + 9450 | 1 | 0.802631 | 0.766683 | 0.807532 | 0.716476 | -0.091056 | 1.0000 | -0.0098 | 300.00 | 1.00e-04 | 4:12:28 | 0:14:41 + 9500 | 1 | 0.759606 | 0.766135 | 0.759787 | 0.739287 | -0.020500 | 1.0000 | -0.0099 | 300.00 | 1.00e-04 | 4:13:29 | 0:13:20 +[15:48:18] [TAM stats @ step 9500] mean=-0.0099 std=0.0149 max=0.2208 min=-0.0806 visits=75999 + 9550 | 1 | 0.760249 | 0.764927 | 0.722380 | 0.740879 | 0.018499 | 1.0000 | -0.0099 | 300.00 | 1.00e-04 | 4:14:29 | 0:11:59 + 9600 | 1 | 0.958383 | 0.765906 | 0.835113 | 0.814063 | -0.021049 | 1.0000 | -0.0100 | 300.00 | 1.00e-04 | 4:15:30 | 0:10:38 + 9650 | 1 | 0.918245 | 0.769252 | 0.966579 | 0.911114 | -0.055466 | 1.0000 | -0.0100 | 300.00 | 1.00e-04 | 4:16:30 | 0:09:18 + 9700 | 1 | 0.813010 | 0.770213 | 0.832184 | 0.744189 | -0.087995 | 1.0000 | -0.0101 | 300.00 | 1.00e-04 | 4:17:30 | 0:07:57 + 9750 | 1 | 1.012965 | 0.774784 | 0.983944 | 0.954350 | -0.029594 | 1.0000 | -0.0101 | 300.00 | 1.00e-04 | 4:18:31 | 0:06:37 + 9800 | 1 | 1.181942 | 0.777415 | 0.794953 | 0.803836 | 0.008883 | 1.0000 | -0.0102 | 300.00 | 1.00e-04 | 4:19:31 | 0:05:17 + 9850 | 1 | 0.662516 | 0.776587 | 0.776169 | 0.658096 | -0.118073 | 1.0000 | -0.0102 | 300.00 | 1.00e-04 | 4:20:32 | 0:03:58 + 9900 | 1 | 0.701559 | 0.777266 | 0.738279 | 0.709514 | -0.028765 | 1.0000 | -0.0103 | 300.00 | 1.00e-04 | 4:21:32 | 0:02:38 + 9950 | 1 | 0.704029 | 0.775748 | 0.812245 | 0.736018 | -0.076228 | 1.0000 | -0.0103 | 300.00 | 1.00e-04 | 4:22:32 | 0:01:19 + 10000 | 1 | 0.947909 | 0.777416 | 0.929166 | 0.911886 | -0.017280 | 1.0000 | -0.0104 | 300.00 | 1.00e-04 | 4:23:33 | 0:00:00 +[15:58:22] [TAM stats @ step 10000] mean=-0.0104 std=0.0152 max=0.2208 min=-0.0806 visits=79999 +[15:58:35] Saved checkpoint -> RESULTS/cub200/run_004/checkpoint-10000 +[15:58:38] Removed old checkpoint: checkpoint-4000 +[15:58:38] Generating 16 validation images ... +[15:58:52] Validation at step 10000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0010000.png +[15:58:52] --- Epoch 1 complete | Steps: 4843 | Avg Loss: 0.761580 --- +[15:58:52] Saving final model ... +[15:59:03] Pipeline saved -> RESULTS/cub200/run_004 +[15:59:03] TAM scores saved -> RESULTS/cub200/run_004/tam_final.pt +[15:59:03] Final TAM stats: {'mean_score': -0.01036438811570406, 'std_score': 0.015163911506533623, 'max_score': 0.22077736258506775, 'min_score': -0.0806271880865097, 'total_visits': 79999} +[15:59:03] Generating final validation collage ... +[15:59:03] Generating 16 validation images ... +[15:59:16] Validation at step 10000: 16 images -> RESULTS/cub200/run_004/validation/collage_step_0010000.png +[15:59:17] +[15:59:17] ============================================================ +[15:59:17] TRAINING SUMMARY +[15:59:17] ============================================================ +[15:59:17] Total steps : 200 +[15:59:17] Final loss : 0.947909 +[15:59:17] Avg last 100 : 0.777416 +[15:59:17] Min loss : 0.536680 +[15:59:17] Total time : 4:24:28 +[15:59:17] Output : RESULTS/cub200/run_004 +[15:59:17] ============================================================ diff --git a/cub200/sana 1.6/RAD/training_args.json b/cub200/sana 1.6/RAD/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..a7819c8f835ed38c325e82904dd6ae7af1c81aaf --- /dev/null +++ b/cub200/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/cub200", + "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": 2, + "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/cub200/run_004" +} \ No newline at end of file diff --git a/cub200/sana 1.6/RAD/training_summary.json b/cub200/sana 1.6/RAD/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4f0503534a72cdf81dc8c607832d0fdfddd4e63d --- /dev/null +++ b/cub200/sana 1.6/RAD/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.9479094743728638, + "avg_last_100": 0.7774164927005768, + "min_loss": 0.5366800427436829, + "total_time": "4:24:28" +} \ No newline at end of file diff --git a/cub200/sana 1.6/SRA/model_index.json b/cub200/sana 1.6/SRA/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/cub200/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/cub200/sana 1.6/SRA/tokenizer/chat_template.jinja b/cub200/sana 1.6/SRA/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..923ec253c8dbefbb41cf084db7251df41d000f6d --- /dev/null +++ b/cub200/sana 1.6/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/cub200/sana 1.6/SRA/tokenizer/tokenizer_config.json b/cub200/sana 1.6/SRA/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4cda396aa4050a6cb92d7a4c0297031eb80e6d --- /dev/null +++ b/cub200/sana 1.6/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/cub200/sana 1.6/SRA/training.log b/cub200/sana 1.6/SRA/training.log new file mode 100644 index 0000000000000000000000000000000000000000..2c3f00549e63687397f7b259e85c862405c68afb --- /dev/null +++ b/cub200/sana 1.6/SRA/training.log @@ -0,0 +1,279 @@ +Training started: 2026-08-12 02:58:45 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[02:58:45] Run directory: RESULTS/cub200/run_019 +[02:58:45] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[02:58:45] Loading pretrained SANA components ... +[02:59:14] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[02:59:14] Building SRA teacher (EMA copy of transformer) and projection head ... +[02:59:16] Alignment: student block 6 -> teacher block 14 (of 20) +[02:59:16] Time interval k ~ U(0, 0.2), teacher_t = clamp(student_t - k, 0, 1) +[02:59:16] Loss type: sml1, EMA decay: 0.9999 +[02:59:16] Align weight: progress-based decay (default) -- start_frac=0.15, span_frac=0.35 +[02:59:16] SRA projection head params: 20,077,120 +[02:59:16] Building dataset ... +[02:59:16] Step-based training: 10000 steps (~2 epochs over dataset) +[02:59:19] SRA teacher initialized (synced with student weights). +[02:59:19] +[02:59:19] ================================================================ +[02:59:19] Output dir = RESULTS/cub200/run_019 +[02:59:19] Num examples = 41255 +[02:59:19] Num epochs = 2 +[02:59:19] Batch/device = 8 +[02:59:19] Grad accum = 1 +[02:59:19] Effective BS = 8 +[02:59:19] Total optim steps = 10000 +[02:59:19] LR = 0.0001 +[02:59:19] Precision = bf16 +[02:59:19] Log every = 50 steps +[02:59:19] Validate every = 1000 steps +[02:59:19] Checkpoint every = 2000 steps +[02:59:19] ================================================================ +[02:59:19] + 50 | 0 | 2.266264 | 2.266264 | 1.00e-05 | 0:01:31 | 5:03:56 | Gen 0.785739 | Align 7.402628 + 100 | 0 | 2.122931 | 2.194598 | 2.00e-05 | 0:02:24 | 3:58:18 | Gen 0.746004 | Align 6.884631 + 150 | 0 | 2.252469 | 2.213888 | 3.00e-05 | 0:03:17 | 3:36:08 | Gen 0.864558 | Align 6.939557 + 200 | 0 | 2.299947 | 2.235403 | 4.00e-05 | 0:04:10 | 3:24:38 | Gen 0.885696 | Align 7.071254 + 250 | 0 | 2.245120 | 2.237346 | 5.00e-05 | 0:05:03 | 3:17:23 | Gen 0.902257 | Align 6.714316 + 300 | 0 | 2.060362 | 2.207849 | 6.00e-05 | 0:05:56 | 3:12:16 | Gen 0.824753 | Align 6.178045 + 350 | 0 | 1.965579 | 2.173239 | 7.00e-05 | 0:06:49 | 3:08:21 | Gen 0.839978 | Align 5.628009 + 400 | 0 | 1.719861 | 2.116567 | 8.00e-05 | 0:07:43 | 3:05:13 | Gen 0.712359 | Align 5.037509 + 450 | 0 | 1.803564 | 2.081789 | 9.00e-05 | 0:08:36 | 3:02:35 | Gen 0.766264 | Align 5.186501 + 500 | 0 | 1.696590 | 2.043269 | 1.00e-04 | 0:09:29 | 3:00:18 | Gen 0.750047 | Align 4.732713 + 550 | 0 | 1.929263 | 2.032905 | 1.00e-04 | 0:10:22 | 2:58:16 | Gen 0.866526 | Align 5.313686 + 600 | 0 | 1.834218 | 2.016347 | 1.00e-04 | 0:11:15 | 2:56:26 | Gen 0.809381 | Align 5.124186 + 650 | 0 | 1.773773 | 1.997688 | 9.99e-05 | 0:12:08 | 2:54:45 | Gen 0.823576 | Align 4.750982 + 700 | 0 | 1.656399 | 1.973310 | 9.99e-05 | 0:13:02 | 2:53:11 | Gen 0.702248 | Align 4.770750 + 750 | 0 | 1.779230 | 1.960371 | 9.98e-05 | 0:13:55 | 2:51:42 | Gen 0.832719 | Align 4.732553 + 800 | 0 | 1.593717 | 1.937455 | 9.98e-05 | 0:14:48 | 2:50:18 | Gen 0.675802 | Align 4.589571 + 850 | 0 | 1.836261 | 1.931503 | 9.97e-05 | 0:15:41 | 2:48:59 | Gen 0.864656 | Align 4.858025 + 900 | 0 | 1.648687 | 1.915791 | 9.96e-05 | 0:16:35 | 2:47:42 | Gen 0.782542 | Align 4.330727 + 950 | 0 | 1.628018 | 1.900645 | 9.94e-05 | 0:17:28 | 2:46:27 | Gen 0.758904 | Align 4.345570 + 1000 | 0 | 1.615007 | 1.886363 | 9.93e-05 | 0:18:21 | 2:45:14 | Gen 0.719074 | Align 4.479662 +[03:17:18] Generating 16 validation images ... +[03:17:33] Validation at step 1000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0001000.png + 1050 | 0 | 1.930996 | 1.888488 | 9.92e-05 | 0:19:45 | 2:48:23 | Gen 0.956098 | Align 4.874489 + 1100 | 0 | 1.727523 | 1.881172 | 9.90e-05 | 0:20:38 | 2:47:00 | Gen 0.852014 | Align 4.377542 + 1150 | 0 | 1.832477 | 1.879055 | 9.88e-05 | 0:21:31 | 2:45:40 | Gen 0.905306 | Align 4.635856 + 1200 | 0 | 1.583020 | 1.866720 | 9.87e-05 | 0:22:24 | 2:44:22 | Gen 0.686327 | Align 4.483466 + 1250 | 0 | 1.653765 | 1.858202 | 9.85e-05 | 0:23:18 | 2:43:06 | Gen 0.724874 | Align 4.644454 + 1300 | 0 | 1.672560 | 1.851062 | 9.83e-05 | 0:24:11 | 2:41:52 | Gen 0.772335 | Align 4.501123 + 1350 | 0 | 1.587922 | 1.841316 | 9.80e-05 | 0:25:04 | 2:40:39 | Gen 0.692976 | Align 4.474731 + 1400 | 0 | 1.616580 | 1.833289 | 9.78e-05 | 0:25:57 | 2:39:28 | Gen 0.723566 | Align 4.465067 + 1450 | 0 | 1.859594 | 1.834196 | 9.76e-05 | 0:26:50 | 2:38:18 | Gen 0.908167 | Align 4.757134 + 1500 | 0 | 1.668512 | 1.828674 | 9.73e-05 | 0:27:44 | 2:37:09 | Gen 0.789823 | Align 4.393446 + 1550 | 0 | 1.508538 | 1.818347 | 9.70e-05 | 0:28:37 | 2:36:01 | Gen 0.659060 | Align 4.386543 + 1600 | 0 | 1.632862 | 1.812550 | 9.67e-05 | 0:29:30 | 2:34:54 | Gen 0.809082 | Align 4.396091 + 1650 | 0 | 1.564107 | 1.805022 | 9.64e-05 | 0:30:23 | 2:33:48 | Gen 0.743011 | Align 4.528302 + 1700 | 0 | 1.612110 | 1.799348 | 9.61e-05 | 0:31:16 | 2:32:42 | Gen 0.839489 | Align 4.403454 + 1750 | 0 | 1.459801 | 1.789646 | 9.58e-05 | 0:32:09 | 2:31:37 | Gen 0.714318 | Align 4.390867 + 1800 | 0 | 1.353398 | 1.777528 | 9.55e-05 | 0:33:03 | 2:30:33 | Gen 0.687047 | Align 4.056036 + 1850 | 0 | 1.571601 | 1.771963 | 9.51e-05 | 0:33:56 | 2:29:30 | Gen 0.837666 | Align 4.616811 + 1900 | 0 | 1.426874 | 1.762882 | 9.47e-05 | 0:34:49 | 2:28:27 | Gen 0.749016 | Align 4.406650 + 1950 | 0 | 1.406532 | 1.753744 | 9.44e-05 | 0:35:42 | 2:27:24 | Gen 0.772492 | Align 4.259635 + 2000 | 0 | 1.551039 | 1.748677 | 9.40e-05 | 0:36:35 | 2:26:22 | Gen 0.897949 | Align 4.534345 +[03:35:38] Saved checkpoint -> RESULTS/cub200/run_019/checkpoint-2000 +[03:35:43] Generating 16 validation images ... +[03:35:57] Validation at step 2000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0002000.png + 2050 | 0 | 1.419654 | 1.740652 | 9.36e-05 | 0:38:09 | 2:27:59 | Gen 0.814278 | Align 4.343622 + 2100 | 0 | 1.479903 | 1.734443 | 9.32e-05 | 0:39:02 | 2:26:53 | Gen 0.854248 | Align 4.639246 + 2150 | 0 | 1.241367 | 1.722977 | 9.27e-05 | 0:39:55 | 2:25:47 | Gen 0.712616 | Align 4.051814 + 2200 | 0 | 1.571492 | 1.719534 | 9.23e-05 | 0:40:49 | 2:24:43 | Gen 0.972223 | Align 4.745767 + 2250 | 0 | 1.293192 | 1.710059 | 9.19e-05 | 0:41:42 | 2:23:38 | Gen 0.770081 | Align 4.281182 + 2300 | 0 | 1.411832 | 1.703576 | 9.14e-05 | 0:42:35 | 2:22:35 | Gen 0.901308 | Align 4.317894 + 2350 | 0 | 1.308321 | 1.695167 | 9.09e-05 | 0:43:28 | 2:21:31 | Gen 0.814990 | Align 4.312005 + 2400 | 0 | 1.304689 | 1.687032 | 9.05e-05 | 0:44:21 | 2:20:28 | Gen 0.808818 | Align 4.479149 + 2450 | 0 | 1.387986 | 1.680929 | 9.00e-05 | 0:45:14 | 2:19:25 | Gen 0.899427 | Align 4.560682 + 2500 | 0 | 1.214667 | 1.671603 | 8.95e-05 | 0:46:07 | 2:18:23 | Gen 0.758273 | Align 4.402905 + 2550 | 0 | 1.192644 | 1.662212 | 8.89e-05 | 0:47:00 | 2:17:21 | Gen 0.738955 | Align 4.523171 + 2600 | 0 | 1.139611 | 1.652162 | 8.84e-05 | 0:47:53 | 2:16:19 | Gen 0.732453 | Align 4.195013 + 2650 | 0 | 1.178507 | 1.643225 | 8.79e-05 | 0:48:47 | 2:15:18 | Gen 0.785044 | Align 4.189476 + 2700 | 0 | 1.349175 | 1.637780 | 8.73e-05 | 0:49:40 | 2:14:17 | Gen 0.942147 | Align 4.478840 + 2750 | 0 | 1.238209 | 1.630515 | 8.68e-05 | 0:50:33 | 2:13:16 | Gen 0.862619 | Align 4.271114 + 2800 | 0 | 1.178229 | 1.622438 | 8.62e-05 | 0:51:26 | 2:12:15 | Gen 0.806784 | Align 4.365228 + 2850 | 0 | 1.106445 | 1.613386 | 8.56e-05 | 0:52:19 | 2:11:15 | Gen 0.761594 | Align 4.188221 + 2900 | 0 | 1.028967 | 1.603310 | 8.51e-05 | 0:53:12 | 2:10:15 | Gen 0.668828 | Align 4.520171 + 2950 | 0 | 1.025190 | 1.593511 | 8.45e-05 | 0:54:05 | 2:09:15 | Gen 0.686597 | Align 4.391852 + 3000 | 0 | 0.905395 | 1.582042 | 8.39e-05 | 0:54:58 | 2:08:15 | Gen 0.616197 | Align 3.876601 +[03:53:50] Generating 16 validation images ... +[03:54:05] Validation at step 3000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0003000.png + 3050 | 0 | 1.031580 | 1.573018 | 8.33e-05 | 0:56:17 | 2:08:15 | Gen 0.731868 | Align 4.151878 + 3100 | 0 | 1.285966 | 1.568389 | 8.26e-05 | 0:57:10 | 2:07:14 | Gen 0.953841 | Align 4.754758 + 3150 | 0 | 1.054311 | 1.560229 | 8.20e-05 | 0:58:03 | 2:06:14 | Gen 0.767522 | Align 4.243023 + 3200 | 0 | 1.051155 | 1.552274 | 8.14e-05 | 0:58:56 | 2:05:14 | Gen 0.770050 | Align 4.298016 + 3250 | 0 | 0.950510 | 1.543016 | 8.07e-05 | 0:59:49 | 2:04:14 | Gen 0.693164 | Align 4.066317 + 3300 | 0 | 1.156237 | 1.537156 | 8.01e-05 | 1:00:42 | 2:03:14 | Gen 0.869723 | Align 4.678605 + 3350 | 0 | 1.115346 | 1.530860 | 7.94e-05 | 1:01:35 | 2:02:15 | Gen 0.856640 | Align 4.365792 + 3400 | 0 | 0.987414 | 1.522869 | 7.87e-05 | 1:02:28 | 2:01:16 | Gen 0.744229 | Align 4.241104 + 3450 | 0 | 1.047995 | 1.515986 | 7.80e-05 | 1:03:21 | 2:00:16 | Gen 0.807674 | Align 4.331318 + 3500 | 0 | 1.109606 | 1.510181 | 7.73e-05 | 1:04:14 | 1:59:17 | Gen 0.867857 | Align 4.502754 + 3550 | 0 | 0.992516 | 1.502890 | 7.67e-05 | 1:05:07 | 1:58:19 | Gen 0.768684 | Align 4.308449 + 3600 | 0 | 1.010103 | 1.496046 | 7.59e-05 | 1:06:00 | 1:57:20 | Gen 0.779030 | Align 4.596560 + 3650 | 0 | 0.834714 | 1.486986 | 7.52e-05 | 1:06:53 | 1:56:22 | Gen 0.639467 | Align 4.013776 + 3700 | 0 | 1.001413 | 1.480424 | 7.45e-05 | 1:07:46 | 1:55:23 | Gen 0.797518 | Align 4.331743 + 3750 | 0 | 1.047419 | 1.474651 | 7.38e-05 | 1:08:39 | 1:54:25 | Gen 0.850369 | Align 4.326312 + 3800 | 0 | 0.880982 | 1.466840 | 7.31e-05 | 1:09:32 | 1:53:27 | Gen 0.705003 | Align 3.992896 + 3850 | 0 | 0.952842 | 1.460164 | 7.23e-05 | 1:10:25 | 1:52:29 | Gen 0.759350 | Align 4.537076 + 3900 | 0 | 1.008583 | 1.454375 | 7.16e-05 | 1:11:18 | 1:51:31 | Gen 0.824041 | Align 4.471920 + 3950 | 0 | 0.890623 | 1.447239 | 7.08e-05 | 1:12:11 | 1:50:34 | Gen 0.724023 | Align 4.172157 + 4000 | 0 | 0.958871 | 1.441134 | 7.01e-05 | 1:13:04 | 1:49:36 | Gen 0.797029 | Align 4.188513 +[04:12:05] Saved checkpoint -> RESULTS/cub200/run_019/checkpoint-4000 +[04:12:11] Generating 16 validation images ... +[04:12:26] Validation at step 4000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0004000.png + 4050 | 0 | 1.050932 | 1.436317 | 6.93e-05 | 1:14:38 | 1:49:38 | Gen 0.880058 | Align 4.570164 + 4100 | 0 | 0.934854 | 1.430201 | 6.86e-05 | 1:15:30 | 1:48:40 | Gen 0.780364 | Align 4.270116 + 4150 | 0 | 0.957278 | 1.424504 | 6.78e-05 | 1:16:24 | 1:47:41 | Gen 0.803496 | Align 4.392725 + 4200 | 0 | 0.944314 | 1.418787 | 6.70e-05 | 1:17:16 | 1:46:43 | Gen 0.805036 | Align 4.111448 + 4250 | 0 | 0.843804 | 1.412022 | 6.62e-05 | 1:18:10 | 1:45:45 | Gen 0.706083 | Align 4.201427 + 4300 | 0 | 0.840924 | 1.405382 | 6.55e-05 | 1:19:03 | 1:44:47 | Gen 0.709331 | Align 4.148748 + 4350 | 0 | 0.832524 | 1.398797 | 6.47e-05 | 1:19:56 | 1:43:49 | Gen 0.700819 | Align 4.291111 + 4400 | 0 | 0.866697 | 1.392751 | 6.39e-05 | 1:20:49 | 1:42:51 | Gen 0.741225 | Align 4.224753 + 4450 | 0 | 0.635483 | 1.384242 | 6.31e-05 | 1:21:42 | 1:41:53 | Gen 0.524337 | Align 3.867568 + 4500 | 0 | 0.805377 | 1.377810 | 6.23e-05 | 1:22:35 | 1:40:56 | Gen 0.688022 | Align 4.220153 + 4550 | 0 | 0.916216 | 1.372738 | 6.15e-05 | 1:23:28 | 1:39:58 | Gen 0.797683 | Align 4.405042 + 4600 | 0 | 0.819421 | 1.366723 | 6.07e-05 | 1:24:21 | 1:39:01 | Gen 0.711941 | Align 4.127843 + 4650 | 0 | 1.026180 | 1.363062 | 5.99e-05 | 1:25:14 | 1:38:03 | Gen 0.918781 | Align 4.262704 + 4700 | 0 | 0.865589 | 1.357769 | 5.90e-05 | 1:26:07 | 1:37:06 | Gen 0.756799 | Align 4.462272 + 4750 | 0 | 0.844125 | 1.352363 | 5.82e-05 | 1:27:00 | 1:36:09 | Gen 0.745483 | Align 4.181357 + 4800 | 0 | 0.977572 | 1.348459 | 5.74e-05 | 1:27:53 | 1:35:12 | Gen 0.879512 | Align 4.295729 + 4850 | 0 | 0.897804 | 1.343813 | 5.66e-05 | 1:28:46 | 1:34:15 | Gen 0.794905 | Align 4.658424 + 4900 | 0 | 0.797548 | 1.338238 | 5.58e-05 | 1:29:39 | 1:33:18 | Gen 0.711400 | Align 4.030473 + 4950 | 0 | 0.947888 | 1.334296 | 5.50e-05 | 1:30:32 | 1:32:21 | Gen 0.856217 | Align 4.432308 + 5000 | 0 | 1.018830 | 1.331141 | 5.41e-05 | 1:31:25 | 1:31:25 | Gen 0.923996 | Align 4.738599 +[04:30:17] Generating 16 validation images ... +[04:30:32] Validation at step 5000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0005000.png + 5050 | 0 | 1.023793 | 1.318716 | 5.33e-05 | 1:32:44 | 1:30:54 | Gen 0.940865 | Align 4.282236 + 5100 | 0 | 0.905408 | 1.306541 | 5.25e-05 | 1:33:37 | 1:29:56 | Gen 0.828038 | Align 4.128867 + 5150 | 0 | 0.834330 | 1.292360 | 5.17e-05 | 1:34:30 | 1:28:59 | Gen 0.761924 | Align 3.993163 +[04:33:23] --- Epoch 0 complete | Steps: 5157 | Avg Loss: 1.338760 --- + 5200 | 1 | 0.848294 | 1.277843 | 5.08e-05 | 1:35:23 | 1:28:03 | Gen 0.771778 | Align 4.360934 + 5250 | 1 | 0.926501 | 1.264657 | 5.00e-05 | 1:36:16 | 1:27:06 | Gen 0.851038 | Align 4.444741 + 5300 | 1 | 0.767789 | 1.251731 | 4.92e-05 | 1:37:09 | 1:26:09 | Gen 0.699481 | Align 4.157873 + 5350 | 1 | 0.788879 | 1.239964 | 4.83e-05 | 1:38:02 | 1:25:12 | Gen 0.718933 | Align 4.399960 + 5400 | 1 | 0.758715 | 1.230353 | 4.75e-05 | 1:38:55 | 1:24:16 | Gen 0.697376 | Align 3.987580 + 5450 | 1 | 0.878470 | 1.221102 | 4.67e-05 | 1:39:48 | 1:23:19 | Gen 0.813659 | Align 4.354179 + 5500 | 1 | 0.672303 | 1.210859 | 4.59e-05 | 1:40:41 | 1:22:23 | Gen 0.618567 | Align 3.730855 + 5550 | 1 | 0.913582 | 1.200702 | 4.50e-05 | 1:41:34 | 1:21:26 | Gen 0.850073 | Align 4.556795 + 5600 | 1 | 0.823979 | 1.190600 | 4.42e-05 | 1:42:27 | 1:20:30 | Gen 0.766683 | Align 4.248491 + 5650 | 1 | 0.931967 | 1.182182 | 4.34e-05 | 1:43:20 | 1:19:33 | Gen 0.872722 | Align 4.539989 + 5700 | 1 | 0.724914 | 1.172867 | 4.26e-05 | 1:44:13 | 1:18:37 | Gen 0.673694 | Align 4.056210 + 5750 | 1 | 0.721726 | 1.162292 | 4.18e-05 | 1:45:06 | 1:17:41 | Gen 0.667383 | Align 4.447526 + 5800 | 1 | 0.859887 | 1.154953 | 4.10e-05 | 1:45:59 | 1:16:45 | Gen 0.805982 | Align 4.559165 + 5850 | 1 | 0.788295 | 1.144474 | 4.01e-05 | 1:46:52 | 1:15:49 | Gen 0.742759 | Align 3.980122 + 5900 | 1 | 0.833817 | 1.136325 | 3.93e-05 | 1:47:45 | 1:14:52 | Gen 0.786094 | Align 4.310794 + 5950 | 1 | 0.765658 | 1.127701 | 3.85e-05 | 1:48:38 | 1:13:56 | Gen 0.720601 | Align 4.206113 + 6000 | 1 | 0.916237 | 1.120714 | 3.77e-05 | 1:49:31 | 1:13:00 | Gen 0.869197 | Align 4.537977 +[04:48:34] Saved checkpoint -> RESULTS/cub200/run_019/checkpoint-6000 +[04:48:39] Generating 16 validation images ... +[04:48:54] Validation at step 6000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0006000.png + 6050 | 1 | 0.922978 | 1.110634 | 3.69e-05 | 1:51:06 | 1:12:32 | Gen 0.877946 | Align 4.489647 + 6100 | 1 | 0.804093 | 1.101399 | 3.61e-05 | 1:51:59 | 1:11:35 | Gen 0.762357 | Align 4.300143 + 6150 | 1 | 0.755494 | 1.090629 | 3.53e-05 | 1:52:52 | 1:10:39 | Gen 0.717926 | Align 4.000050 + 6200 | 1 | 0.637798 | 1.081177 | 3.45e-05 | 1:53:45 | 1:09:43 | Gen 0.600269 | Align 4.129582 + 6250 | 1 | 0.659672 | 1.071236 | 3.38e-05 | 1:54:38 | 1:08:47 | Gen 0.626078 | Align 3.820167 + 6300 | 1 | 0.776315 | 1.062274 | 3.30e-05 | 1:55:31 | 1:07:51 | Gen 0.740520 | Align 4.206616 + 6350 | 1 | 0.747084 | 1.053865 | 3.22e-05 | 1:56:25 | 1:06:55 | Gen 0.712914 | Align 4.149931 + 6400 | 1 | 0.759839 | 1.045298 | 3.14e-05 | 1:57:18 | 1:05:59 | Gen 0.726090 | Align 4.235894 + 6450 | 1 | 0.854587 | 1.035248 | 3.07e-05 | 1:58:11 | 1:05:03 | Gen 0.818553 | Align 4.674009 + 6500 | 1 | 0.723550 | 1.025798 | 2.99e-05 | 1:59:04 | 1:04:07 | Gen 0.693064 | Align 4.086611 + 6550 | 1 | 0.880723 | 1.019520 | 2.92e-05 | 1:59:57 | 1:03:11 | Gen 0.848284 | Align 4.493785 + 6600 | 1 | 0.840174 | 1.011593 | 2.84e-05 | 2:00:50 | 1:02:15 | Gen 0.809157 | Align 4.440492 + 6650 | 1 | 0.835703 | 1.004309 | 2.77e-05 | 2:01:44 | 1:01:19 | Gen 0.804554 | Align 4.608390 + 6700 | 1 | 0.783352 | 0.996022 | 2.69e-05 | 2:02:37 | 1:00:23 | Gen 0.755823 | Align 4.209181 + 6750 | 1 | 0.893184 | 0.990356 | 2.62e-05 | 2:03:30 | 0:59:28 | Gen 0.864557 | Align 4.523318 + 6800 | 1 | 0.892711 | 0.985749 | 2.55e-05 | 2:04:23 | 0:58:32 | Gen 0.864863 | Align 4.547295 + 6850 | 1 | 0.733887 | 0.977372 | 2.48e-05 | 2:05:16 | 0:57:36 | Gen 0.705978 | Align 4.709728 + 6900 | 1 | 0.745533 | 0.970558 | 2.41e-05 | 2:06:09 | 0:56:41 | Gen 0.720216 | Align 4.415344 + 6950 | 1 | 0.883917 | 0.965332 | 2.33e-05 | 2:07:03 | 0:55:45 | Gen 0.859376 | Align 4.422917 + 7000 | 1 | 0.875406 | 0.958576 | 2.27e-05 | 2:07:56 | 0:54:49 | Gen 0.852308 | Align 4.302156 +[05:06:48] Generating 16 validation images ... +[05:07:03] Validation at step 7000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0007000.png + 7050 | 1 | 0.756572 | 0.951945 | 2.20e-05 | 2:09:14 | 0:54:04 | Gen 0.734344 | Align 4.278450 + 7100 | 1 | 0.881030 | 0.945956 | 2.13e-05 | 2:10:07 | 0:53:09 | Gen 0.857385 | Align 4.703499 + 7150 | 1 | 0.726499 | 0.940807 | 2.06e-05 | 2:11:00 | 0:52:13 | Gen 0.706590 | Align 4.092854 + 7200 | 1 | 0.850509 | 0.933598 | 1.99e-05 | 2:11:54 | 0:51:17 | Gen 0.830328 | Align 4.287415 + 7250 | 1 | 0.849558 | 0.929161 | 1.93e-05 | 2:12:47 | 0:50:22 | Gen 0.829267 | Align 4.455178 + 7300 | 1 | 0.675367 | 0.921797 | 1.86e-05 | 2:13:40 | 0:49:26 | Gen 0.656996 | Align 4.168175 + 7350 | 1 | 0.877746 | 0.917491 | 1.80e-05 | 2:14:33 | 0:48:30 | Gen 0.857956 | Align 4.640487 + 7400 | 1 | 0.935903 | 0.913803 | 1.74e-05 | 2:15:26 | 0:47:35 | Gen 0.917221 | Align 4.527175 + 7450 | 1 | 0.956292 | 0.909486 | 1.67e-05 | 2:16:19 | 0:46:39 | Gen 0.939046 | Align 4.318942 + 7500 | 1 | 0.869044 | 0.906030 | 1.61e-05 | 2:17:13 | 0:45:44 | Gen 0.852633 | Align 4.247360 + 7550 | 1 | 0.807196 | 0.902175 | 1.55e-05 | 2:18:06 | 0:44:48 | Gen 0.791141 | Align 4.294137 + 7600 | 1 | 0.834214 | 0.899121 | 1.49e-05 | 2:18:59 | 0:43:53 | Gen 0.817579 | Align 4.598177 + 7650 | 1 | 0.809036 | 0.895427 | 1.44e-05 | 2:19:52 | 0:42:58 | Gen 0.794339 | Align 4.198014 + 7700 | 1 | 0.887762 | 0.890813 | 1.38e-05 | 2:20:45 | 0:42:02 | Gen 0.872220 | Align 4.587804 + 7750 | 1 | 0.850296 | 0.886933 | 1.32e-05 | 2:21:38 | 0:41:07 | Gen 0.835277 | Align 4.581684 + 7800 | 1 | 0.764235 | 0.882793 | 1.27e-05 | 2:22:31 | 0:40:12 | Gen 0.750998 | Align 4.173087 + 7850 | 1 | 0.838406 | 0.880113 | 1.21e-05 | 2:23:25 | 0:39:16 | Gen 0.824620 | Align 4.491672 + 7900 | 1 | 0.663720 | 0.876461 | 1.16e-05 | 2:24:18 | 0:38:21 | Gen 0.651953 | Align 3.962197 + 7950 | 1 | 0.870073 | 0.874909 | 1.11e-05 | 2:25:11 | 0:37:26 | Gen 0.856963 | Align 4.561844 + 8000 | 1 | 0.737842 | 0.873234 | 1.05e-05 | 2:26:04 | 0:36:31 | Gen 0.725640 | Align 4.388224 +[05:25:06] Saved checkpoint -> RESULTS/cub200/run_019/checkpoint-8000 +[05:25:09] Removed old checkpoint: checkpoint-2000 +[05:25:14] Generating 16 validation images ... +[05:25:28] Validation at step 8000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0008000.png + 8050 | 1 | 0.847279 | 0.871391 | 1.00e-05 | 2:27:39 | 0:35:46 | Gen 0.834796 | Align 4.639000 + 8100 | 1 | 0.783950 | 0.866371 | 9.55e-06 | 2:28:32 | 0:34:50 | Gen 0.772322 | Align 4.465947 + 8150 | 1 | 0.836886 | 0.864196 | 9.07e-06 | 2:29:26 | 0:33:55 | Gen 0.825245 | Align 4.620014 + 8200 | 1 | 0.806784 | 0.861753 | 8.60e-06 | 2:30:19 | 0:32:59 | Gen 0.795842 | Align 4.488384 + 8250 | 1 | 0.794083 | 0.860189 | 8.14e-06 | 2:31:12 | 0:32:04 | Gen 0.782939 | Align 4.724036 + 8300 | 1 | 0.706197 | 0.855688 | 7.70e-06 | 2:32:05 | 0:31:09 | Gen 0.696772 | Align 4.129015 + 8350 | 1 | 0.683345 | 0.851368 | 7.26e-06 | 2:32:58 | 0:30:13 | Gen 0.673961 | Align 4.248381 + 8400 | 1 | 0.815907 | 0.849653 | 6.84e-06 | 2:33:51 | 0:29:18 | Gen 0.806552 | Align 4.376822 + 8450 | 1 | 0.814064 | 0.847314 | 6.43e-06 | 2:34:44 | 0:28:23 | Gen 0.804522 | Align 4.613566 + 8500 | 1 | 0.778225 | 0.844000 | 6.03e-06 | 2:35:38 | 0:27:27 | Gen 0.769460 | Align 4.379738 + 8550 | 1 | 0.680559 | 0.840880 | 5.64e-06 | 2:36:31 | 0:26:32 | Gen 0.672135 | Align 4.349820 + 8600 | 1 | 0.837570 | 0.839155 | 5.26e-06 | 2:37:24 | 0:25:37 | Gen 0.828738 | Align 4.713179 + 8650 | 1 | 0.726409 | 0.838072 | 4.90e-06 | 2:38:17 | 0:24:42 | Gen 0.718579 | Align 4.318093 + 8700 | 1 | 0.660297 | 0.834661 | 4.55e-06 | 2:39:10 | 0:23:47 | Gen 0.652588 | Align 4.393902 + 8750 | 1 | 0.832526 | 0.832512 | 4.21e-06 | 2:40:03 | 0:22:51 | Gen 0.825090 | Align 4.380099 + 8800 | 1 | 0.845889 | 0.832161 | 3.89e-06 | 2:40:56 | 0:21:56 | Gen 0.838210 | Align 4.674187 + 8850 | 1 | 0.813132 | 0.830764 | 3.57e-06 | 2:41:49 | 0:21:01 | Gen 0.805758 | Align 4.638440 + 8900 | 1 | 0.803489 | 0.828713 | 3.27e-06 | 2:42:43 | 0:20:06 | Gen 0.796824 | Align 4.332833 + 8950 | 1 | 0.873577 | 0.828542 | 2.98e-06 | 2:43:36 | 0:19:11 | Gen 0.866846 | Align 4.522138 + 9000 | 1 | 0.859334 | 0.827547 | 2.71e-06 | 2:44:29 | 0:18:16 | Gen 0.852430 | Align 4.793335 +[05:43:16] Generating 16 validation images ... +[05:43:31] Validation at step 9000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0009000.png + 9050 | 1 | 0.676369 | 0.823801 | 2.45e-06 | 2:45:42 | 0:17:23 | Gen 0.670514 | Align 4.200712 + 9100 | 1 | 0.784683 | 0.822300 | 2.20e-06 | 2:46:35 | 0:16:28 | Gen 0.778587 | Align 4.520393 + 9150 | 1 | 0.917803 | 0.821905 | 1.96e-06 | 2:47:28 | 0:15:33 | Gen 0.911705 | Align 4.673245 + 9200 | 1 | 0.799371 | 0.820456 | 1.74e-06 | 2:48:21 | 0:14:38 | Gen 0.793742 | Align 4.457315 + 9250 | 1 | 0.729362 | 0.819311 | 1.53e-06 | 2:49:15 | 0:13:43 | Gen 0.724111 | Align 4.297344 + 9300 | 1 | 0.893064 | 0.819833 | 1.33e-06 | 2:50:08 | 0:12:48 | Gen 0.887308 | Align 4.868289 + 9350 | 1 | 0.750903 | 0.819016 | 1.15e-06 | 2:51:01 | 0:11:53 | Gen 0.746100 | Align 4.198057 + 9400 | 1 | 0.650024 | 0.816850 | 9.81e-07 | 2:51:54 | 0:10:58 | Gen 0.645308 | Align 4.260142 + 9450 | 1 | 0.681678 | 0.817312 | 8.25e-07 | 2:52:47 | 0:10:03 | Gen 0.677051 | Align 4.319489 + 9500 | 1 | 0.819631 | 0.817454 | 6.82e-07 | 2:53:40 | 0:09:08 | Gen 0.814867 | Align 4.596220 + 9550 | 1 | 0.710555 | 0.815397 | 5.53e-07 | 2:54:33 | 0:08:13 | Gen 0.706273 | Align 4.269372 + 9600 | 1 | 0.688467 | 0.814088 | 4.37e-07 | 2:55:26 | 0:07:18 | Gen 0.684640 | Align 3.942814 + 9650 | 1 | 0.887380 | 0.812700 | 3.35e-07 | 2:56:20 | 0:06:23 | Gen 0.883055 | Align 4.605126 + 9700 | 1 | 0.703556 | 0.811080 | 2.46e-07 | 2:57:13 | 0:05:28 | Gen 0.699726 | Align 4.214010 + 9750 | 1 | 0.695692 | 0.809595 | 1.71e-07 | 2:58:06 | 0:04:34 | Gen 0.692077 | Align 4.110875 + 9800 | 1 | 0.798315 | 0.807803 | 1.09e-07 | 2:58:59 | 0:03:39 | Gen 0.794745 | Align 4.195127 + 9850 | 1 | 0.778419 | 0.806609 | 6.15e-08 | 2:59:52 | 0:02:44 | Gen 0.775118 | Align 4.008264 + 9900 | 1 | 0.845231 | 0.807086 | 2.73e-08 | 3:00:45 | 0:01:49 | Gen 0.841692 | Align 4.440969 + 9950 | 1 | 0.930129 | 0.806908 | 6.83e-09 | 3:01:38 | 0:00:54 | Gen 0.926663 | Align 4.494824 + 10000 | 1 | 0.740599 | 0.804126 | 0.00e+00 | 3:02:31 | 0:00:00 | Gen 0.737417 | Align 4.266460 +[06:01:34] Saved checkpoint -> RESULTS/cub200/run_019/checkpoint-10000 +[06:01:37] Removed old checkpoint: checkpoint-4000 +[06:01:38] Generating 16 validation images ... +[06:01:52] Validation at step 10000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0010000.png +[06:01:53] --- Epoch 1 complete | Steps: 4843 | Avg Loss: 0.815266 --- +[06:01:53] Saving final model ... +[06:02:04] Pipeline saved -> RESULTS/cub200/run_019 +[06:02:07] SRA teacher + projection head saved -> RESULTS/cub200/run_019/sra (both are training-only auxiliaries; not needed for inference) +[06:02:07] Generating final validation collage ... +[06:02:07] Generating 16 validation images ... +[06:02:22] Validation at step 10000: generated 16 images -> RESULTS/cub200/run_019/validation/collage_step_0010000.png +[06:02:23] +[06:02:23] ============================================================ +[06:02:23] TRAINING SUMMARY +[06:02:23] ============================================================ +[06:02:23] Total steps : 200 +[06:02:23] Final loss : 0.740599 +[06:02:23] Avg last 100 : 0.804126 +[06:02:23] Min loss : 0.635483 +[06:02:23] Total time : 3:03:37 +[06:02:23] Output : RESULTS/cub200/run_019 +[06:02:23] ============================================================ diff --git a/cub200/sana 1.6/SRA/training_args.json b/cub200/sana 1.6/SRA/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..e9c64fa092038c2d017743196cd09ca565fa6308 --- /dev/null +++ b/cub200/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/cub200", + "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": 2, + "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/cub200/run_019" +} \ No newline at end of file diff --git a/cub200/sana 1.6/SRA/training_summary.json b/cub200/sana 1.6/SRA/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6705a263764056bf3faf839be16d6039f52899ef --- /dev/null +++ b/cub200/sana 1.6/SRA/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.7405993342399597, + "avg_last_100": 0.8041257870197296, + "min_loss": 0.6354832053184509, + "total_time": "3:03:37" +} \ No newline at end of file diff --git a/cub200/sana 1.6/SpeeD/model_index.json b/cub200/sana 1.6/SpeeD/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/cub200/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/cub200/sana 1.6/SpeeD/training.log b/cub200/sana 1.6/SpeeD/training.log new file mode 100644 index 0000000000000000000000000000000000000000..4e23d91fe8ca973b2b2673060ec7565d8c33ecb6 --- /dev/null +++ b/cub200/sana 1.6/SpeeD/training.log @@ -0,0 +1,273 @@ +Training started: 2026-08-07 03:40:49 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[03:40:49] Run directory: RESULTS/cub200/run_015 +[03:40:49] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[03:40:49] Loading pretrained SANA components ... +[03:40:59] SpeeD-style sampling ENABLED: lam=0.6, tau=700, meaningful band=[113, 887) of 1000 +[03:41:06] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[03:41:06] Building dataset ... +[03:41:06] Step-based training: 10000 steps (~2 epochs over dataset) +[03:41:08] +[03:41:08] ================================================================ +[03:41:08] Output dir = RESULTS/cub200/run_015 +[03:41:08] Num examples = 41255 +[03:41:08] Num epochs = 2 +[03:41:08] Batch/device = 8 +[03:41:08] Grad accum = 1 +[03:41:08] Effective BS = 8 +[03:41:08] Total optim steps = 10000 +[03:41:08] LR = 0.0001 +[03:41:08] Precision = bf16 +[03:41:08] SpeeD = True +[03:41:08] Log every = 50 steps +[03:41:08] Validate every = 1000 steps +[03:41:08] Checkpoint every = 2000 steps +[03:41:08] ================================================================ +[03:41:08] + 50 | 0 | 0.827352 | 0.827352 | 1.00e-05 | 0:01:03 | 3:29:40 + 100 | 0 | 0.624946 | 0.726149 | 2.00e-05 | 0:01:46 | 2:56:19 + 150 | 0 | 0.715325 | 0.722541 | 3.00e-05 | 0:02:30 | 2:44:54 + 200 | 0 | 0.734667 | 0.725573 | 4.00e-05 | 0:03:14 | 2:38:54 + 250 | 0 | 0.650160 | 0.710490 | 5.00e-05 | 0:03:58 | 2:35:03 + 300 | 0 | 0.575006 | 0.687909 | 6.00e-05 | 0:04:42 | 2:32:15 + 350 | 0 | 0.638555 | 0.680859 | 7.00e-05 | 0:05:26 | 2:30:03 + 400 | 0 | 0.629865 | 0.674484 | 8.00e-05 | 0:06:10 | 2:28:13 + 450 | 0 | 0.650560 | 0.671826 | 9.00e-05 | 0:06:54 | 2:26:37 + 500 | 0 | 0.652308 | 0.669874 | 1.00e-04 | 0:07:38 | 2:25:12 + 550 | 0 | 0.668359 | 0.669737 | 1.00e-04 | 0:08:22 | 2:23:55 + 600 | 0 | 0.808213 | 0.681276 | 1.00e-04 | 0:09:06 | 2:22:42 + 650 | 0 | 0.650735 | 0.678927 | 9.99e-05 | 0:09:50 | 2:21:35 + 700 | 0 | 0.520077 | 0.667581 | 9.99e-05 | 0:10:34 | 2:20:30 + 750 | 0 | 0.568500 | 0.660975 | 9.98e-05 | 0:11:18 | 2:19:29 + 800 | 0 | 0.693952 | 0.663036 | 9.98e-05 | 0:12:02 | 2:18:29 + 850 | 0 | 0.807542 | 0.671537 | 9.97e-05 | 0:12:46 | 2:17:32 + 900 | 0 | 0.596911 | 0.667391 | 9.96e-05 | 0:13:30 | 2:16:35 + 950 | 0 | 0.820242 | 0.675436 | 9.94e-05 | 0:14:14 | 2:15:41 + 1000 | 0 | 0.649297 | 0.674129 | 9.93e-05 | 0:14:58 | 2:14:47 +[03:55:49] Generating 16 validation images ... +[03:56:03] Validation at step 1000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0001000.png + 1050 | 0 | 0.745444 | 0.677525 | 9.92e-05 | 0:15:58 | 2:16:06 + 1100 | 0 | 0.664696 | 0.676941 | 9.90e-05 | 0:16:42 | 2:15:07 + 1150 | 0 | 0.817742 | 0.683063 | 9.88e-05 | 0:17:26 | 2:14:10 + 1200 | 0 | 0.653698 | 0.681840 | 9.87e-05 | 0:18:10 | 2:13:14 + 1250 | 0 | 0.809425 | 0.686943 | 9.85e-05 | 0:18:54 | 2:12:18 + 1300 | 0 | 0.742983 | 0.689099 | 9.83e-05 | 0:19:38 | 2:11:24 + 1350 | 0 | 0.661244 | 0.688067 | 9.80e-05 | 0:20:22 | 2:10:30 + 1400 | 0 | 0.845745 | 0.693698 | 9.78e-05 | 0:21:06 | 2:09:37 + 1450 | 0 | 0.657709 | 0.692457 | 9.76e-05 | 0:21:50 | 2:08:45 + 1500 | 0 | 0.681958 | 0.692107 | 9.73e-05 | 0:22:34 | 2:07:53 + 1550 | 0 | 0.668509 | 0.691346 | 9.70e-05 | 0:23:18 | 2:07:02 + 1600 | 0 | 0.716313 | 0.692126 | 9.67e-05 | 0:24:02 | 2:06:11 + 1650 | 0 | 0.681383 | 0.691801 | 9.64e-05 | 0:24:46 | 2:05:21 + 1700 | 0 | 0.713275 | 0.692432 | 9.61e-05 | 0:25:30 | 2:04:31 + 1750 | 0 | 0.772200 | 0.694711 | 9.58e-05 | 0:26:14 | 2:03:41 + 1800 | 0 | 0.624905 | 0.692772 | 9.55e-05 | 0:26:58 | 2:02:52 + 1850 | 0 | 0.671096 | 0.692186 | 9.51e-05 | 0:27:42 | 2:02:03 + 1900 | 0 | 0.533707 | 0.688016 | 9.47e-05 | 0:28:26 | 2:01:14 + 1950 | 0 | 0.740388 | 0.689359 | 9.44e-05 | 0:29:10 | 2:00:26 + 2000 | 0 | 0.654231 | 0.688481 | 9.40e-05 | 0:29:54 | 1:59:37 +[04:10:58] Saved checkpoint -> RESULTS/cub200/run_015/checkpoint-2000 +[04:10:59] Generating 16 validation images ... +[04:11:13] Validation at step 2000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0002000.png + 2050 | 0 | 0.834510 | 0.692042 | 9.36e-05 | 0:31:07 | 2:00:42 + 2100 | 0 | 0.643494 | 0.690886 | 9.32e-05 | 0:31:51 | 1:59:50 + 2150 | 0 | 0.609907 | 0.689003 | 9.27e-05 | 0:32:35 | 1:58:59 + 2200 | 0 | 0.702231 | 0.689304 | 9.23e-05 | 0:33:19 | 1:58:08 + 2250 | 0 | 0.750863 | 0.690672 | 9.19e-05 | 0:34:03 | 1:57:18 + 2300 | 0 | 0.686548 | 0.690582 | 9.14e-05 | 0:34:47 | 1:56:28 + 2350 | 0 | 0.736949 | 0.691569 | 9.09e-05 | 0:35:31 | 1:55:38 + 2400 | 0 | 0.689164 | 0.691519 | 9.05e-05 | 0:36:15 | 1:54:48 + 2450 | 0 | 0.806546 | 0.693866 | 9.00e-05 | 0:36:59 | 1:53:59 + 2500 | 0 | 0.693529 | 0.693859 | 8.95e-05 | 0:37:43 | 1:53:10 + 2550 | 0 | 0.759444 | 0.695145 | 8.89e-05 | 0:38:27 | 1:52:21 + 2600 | 0 | 0.741163 | 0.696030 | 8.84e-05 | 0:39:11 | 1:51:32 + 2650 | 0 | 0.582648 | 0.693891 | 8.79e-05 | 0:39:55 | 1:50:43 + 2700 | 0 | 0.628084 | 0.692672 | 8.73e-05 | 0:40:39 | 1:49:55 + 2750 | 0 | 0.716696 | 0.693109 | 8.68e-05 | 0:41:23 | 1:49:07 + 2800 | 0 | 0.697057 | 0.693180 | 8.62e-05 | 0:42:07 | 1:48:18 + 2850 | 0 | 0.665720 | 0.692698 | 8.56e-05 | 0:42:51 | 1:47:30 + 2900 | 0 | 0.748834 | 0.693666 | 8.51e-05 | 0:43:35 | 1:46:43 + 2950 | 0 | 0.676949 | 0.693382 | 8.45e-05 | 0:44:19 | 1:45:55 + 3000 | 0 | 0.755530 | 0.694418 | 8.39e-05 | 0:45:03 | 1:45:07 +[04:25:53] Generating 16 validation images ... +[04:26:07] Validation at step 3000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0003000.png + 3050 | 0 | 0.579487 | 0.692534 | 8.33e-05 | 0:46:02 | 1:44:54 + 3100 | 0 | 0.705834 | 0.692749 | 8.26e-05 | 0:46:46 | 1:44:05 + 3150 | 0 | 0.608768 | 0.691416 | 8.20e-05 | 0:47:30 | 1:43:17 + 3200 | 0 | 0.628900 | 0.690439 | 8.14e-05 | 0:48:14 | 1:42:30 + 3250 | 0 | 0.607435 | 0.689162 | 8.07e-05 | 0:48:58 | 1:41:42 + 3300 | 0 | 0.611673 | 0.687988 | 8.01e-05 | 0:49:42 | 1:40:54 + 3350 | 0 | 0.714788 | 0.688388 | 7.94e-05 | 0:50:26 | 1:40:07 + 3400 | 0 | 0.819041 | 0.690309 | 7.87e-05 | 0:51:10 | 1:39:19 + 3450 | 0 | 0.741611 | 0.691053 | 7.80e-05 | 0:51:54 | 1:38:32 + 3500 | 0 | 0.588250 | 0.689584 | 7.73e-05 | 0:52:38 | 1:37:45 + 3550 | 0 | 0.604124 | 0.688380 | 7.67e-05 | 0:53:22 | 1:36:58 + 3600 | 0 | 0.755420 | 0.689311 | 7.59e-05 | 0:54:06 | 1:36:11 + 3650 | 0 | 0.669148 | 0.689035 | 7.52e-05 | 0:54:50 | 1:35:24 + 3700 | 0 | 0.779096 | 0.690252 | 7.45e-05 | 0:55:34 | 1:34:37 + 3750 | 0 | 0.804178 | 0.691771 | 7.38e-05 | 0:56:18 | 1:33:50 + 3800 | 0 | 0.684044 | 0.691670 | 7.31e-05 | 0:57:02 | 1:33:03 + 3850 | 0 | 0.773183 | 0.692728 | 7.23e-05 | 0:57:46 | 1:32:16 + 3900 | 0 | 0.753892 | 0.693512 | 7.16e-05 | 0:58:30 | 1:31:30 + 3950 | 0 | 0.743931 | 0.694151 | 7.08e-05 | 0:59:14 | 1:30:43 + 4000 | 0 | 0.750848 | 0.694859 | 7.01e-05 | 0:59:58 | 1:29:57 +[04:41:02] Saved checkpoint -> RESULTS/cub200/run_015/checkpoint-4000 +[04:41:02] Generating 16 validation images ... +[04:41:16] Validation at step 4000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0004000.png + 4050 | 0 | 0.676891 | 0.694637 | 6.93e-05 | 1:01:10 | 1:29:53 + 4100 | 0 | 0.781247 | 0.695694 | 6.86e-05 | 1:01:54 | 1:29:05 + 4150 | 0 | 0.597196 | 0.694507 | 6.78e-05 | 1:02:38 | 1:28:18 + 4200 | 0 | 0.707670 | 0.694664 | 6.70e-05 | 1:03:22 | 1:27:31 + 4250 | 0 | 0.660458 | 0.694261 | 6.62e-05 | 1:04:06 | 1:26:44 + 4300 | 0 | 0.688664 | 0.694196 | 6.55e-05 | 1:04:50 | 1:25:57 + 4350 | 0 | 0.759725 | 0.694949 | 6.47e-05 | 1:05:34 | 1:25:10 + 4400 | 0 | 0.610285 | 0.693987 | 6.39e-05 | 1:06:18 | 1:24:23 + 4450 | 0 | 0.745073 | 0.694561 | 6.31e-05 | 1:07:02 | 1:23:37 + 4500 | 0 | 0.746299 | 0.695136 | 6.23e-05 | 1:07:46 | 1:22:50 + 4550 | 0 | 0.628034 | 0.694399 | 6.15e-05 | 1:08:30 | 1:22:03 + 4600 | 0 | 0.803496 | 0.695585 | 6.07e-05 | 1:09:14 | 1:21:17 + 4650 | 0 | 0.461090 | 0.693063 | 5.99e-05 | 1:09:58 | 1:20:30 + 4700 | 0 | 0.744353 | 0.693609 | 5.90e-05 | 1:10:42 | 1:19:44 + 4750 | 0 | 0.668477 | 0.693344 | 5.82e-05 | 1:11:26 | 1:18:58 + 4800 | 0 | 0.696028 | 0.693372 | 5.74e-05 | 1:12:10 | 1:18:11 + 4850 | 0 | 0.691437 | 0.693352 | 5.66e-05 | 1:12:54 | 1:17:25 + 4900 | 0 | 0.597969 | 0.692379 | 5.58e-05 | 1:13:38 | 1:16:39 + 4950 | 0 | 0.790119 | 0.693366 | 5.50e-05 | 1:14:22 | 1:15:53 + 5000 | 0 | 0.593548 | 0.692368 | 5.41e-05 | 1:15:06 | 1:15:06 +[04:55:57] Generating 16 validation images ... +[04:56:11] Validation at step 5000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0005000.png + 5050 | 0 | 0.711201 | 0.691206 | 5.33e-05 | 1:16:05 | 1:14:35 + 5100 | 0 | 0.754685 | 0.692504 | 5.25e-05 | 1:16:49 | 1:13:48 + 5150 | 0 | 0.567812 | 0.691029 | 5.17e-05 | 1:17:33 | 1:13:02 +[04:58:29] --- Epoch 0 complete | Steps: 5157 | Avg Loss: 0.685771 --- + 5200 | 1 | 0.656073 | 0.690243 | 5.08e-05 | 1:18:17 | 1:12:16 + 5250 | 1 | 0.648170 | 0.690223 | 5.00e-05 | 1:19:01 | 1:11:30 + 5300 | 1 | 0.667653 | 0.691149 | 4.92e-05 | 1:19:45 | 1:10:43 + 5350 | 1 | 0.698874 | 0.691753 | 4.83e-05 | 1:20:29 | 1:09:57 + 5400 | 1 | 0.780274 | 0.693257 | 4.75e-05 | 1:21:13 | 1:09:11 + 5450 | 1 | 0.575625 | 0.692507 | 4.67e-05 | 1:21:57 | 1:08:25 + 5500 | 1 | 0.651183 | 0.692496 | 4.59e-05 | 1:22:41 | 1:07:39 + 5550 | 1 | 0.673100 | 0.692543 | 4.50e-05 | 1:23:25 | 1:06:53 + 5600 | 1 | 0.673388 | 0.691195 | 4.42e-05 | 1:24:09 | 1:06:07 + 5650 | 1 | 0.673816 | 0.691426 | 4.34e-05 | 1:24:53 | 1:05:21 + 5700 | 1 | 0.722501 | 0.693450 | 4.26e-05 | 1:25:37 | 1:04:35 + 5750 | 1 | 0.706645 | 0.694832 | 4.18e-05 | 1:26:21 | 1:03:49 + 5800 | 1 | 0.723117 | 0.695123 | 4.10e-05 | 1:27:05 | 1:03:04 + 5850 | 1 | 0.673678 | 0.693785 | 4.01e-05 | 1:27:49 | 1:02:18 + 5900 | 1 | 0.719252 | 0.695008 | 3.93e-05 | 1:28:33 | 1:01:32 + 5950 | 1 | 0.678504 | 0.693591 | 3.85e-05 | 1:29:17 | 1:00:46 + 6000 | 1 | 0.715034 | 0.694248 | 3.77e-05 | 1:30:01 | 1:00:00 +[05:11:06] Saved checkpoint -> RESULTS/cub200/run_015/checkpoint-6000 +[05:11:06] Generating 16 validation images ... +[05:11:20] Validation at step 6000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0006000.png + 6050 | 1 | 0.646182 | 0.693256 | 3.69e-05 | 1:31:14 | 0:59:34 + 6100 | 1 | 0.606689 | 0.692675 | 3.61e-05 | 1:31:58 | 0:58:48 + 6150 | 1 | 0.626044 | 0.690758 | 3.53e-05 | 1:32:42 | 0:58:02 + 6200 | 1 | 0.702453 | 0.691246 | 3.45e-05 | 1:33:26 | 0:57:16 + 6250 | 1 | 0.579779 | 0.688950 | 3.38e-05 | 1:34:10 | 0:56:30 + 6300 | 1 | 0.574776 | 0.687267 | 3.30e-05 | 1:34:54 | 0:55:44 + 6350 | 1 | 0.692424 | 0.687579 | 3.22e-05 | 1:35:38 | 0:54:58 + 6400 | 1 | 0.655491 | 0.685677 | 3.14e-05 | 1:36:22 | 0:54:12 + 6450 | 1 | 0.660550 | 0.685705 | 3.07e-05 | 1:37:05 | 0:53:26 + 6500 | 1 | 0.653542 | 0.685421 | 2.99e-05 | 1:37:49 | 0:52:40 + 6550 | 1 | 0.610521 | 0.684841 | 2.92e-05 | 1:38:33 | 0:51:54 + 6600 | 1 | 0.531235 | 0.682990 | 2.84e-05 | 1:39:17 | 0:51:09 + 6650 | 1 | 0.688521 | 0.683062 | 2.77e-05 | 1:40:01 | 0:50:23 + 6700 | 1 | 0.699944 | 0.682928 | 2.69e-05 | 1:40:45 | 0:49:37 + 6750 | 1 | 0.747470 | 0.682681 | 2.62e-05 | 1:41:29 | 0:48:52 + 6800 | 1 | 0.790477 | 0.684337 | 2.55e-05 | 1:42:13 | 0:48:06 + 6850 | 1 | 0.679219 | 0.684418 | 2.48e-05 | 1:42:57 | 0:47:20 + 6900 | 1 | 0.602791 | 0.685109 | 2.41e-05 | 1:43:41 | 0:46:35 + 6950 | 1 | 0.496971 | 0.682675 | 2.33e-05 | 1:44:25 | 0:45:49 + 7000 | 1 | 0.786055 | 0.683993 | 2.27e-05 | 1:45:09 | 0:45:03 +[05:25:59] Generating 16 validation images ... +[05:26:13] Validation at step 7000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0007000.png + 7050 | 1 | 0.689065 | 0.682539 | 2.20e-05 | 1:46:08 | 0:44:24 + 7100 | 1 | 0.603358 | 0.682137 | 2.13e-05 | 1:46:52 | 0:43:39 + 7150 | 1 | 0.616493 | 0.682203 | 2.06e-05 | 1:47:36 | 0:42:53 + 7200 | 1 | 0.675802 | 0.681939 | 1.99e-05 | 1:48:20 | 0:42:07 + 7250 | 1 | 0.698590 | 0.681416 | 1.93e-05 | 1:49:03 | 0:41:22 + 7300 | 1 | 0.683284 | 0.681383 | 1.86e-05 | 1:49:47 | 0:40:36 + 7350 | 1 | 0.819974 | 0.682214 | 1.80e-05 | 1:50:31 | 0:39:51 + 7400 | 1 | 0.655802 | 0.681880 | 1.74e-05 | 1:51:15 | 0:39:05 + 7450 | 1 | 0.701938 | 0.680834 | 1.67e-05 | 1:51:59 | 0:38:19 + 7500 | 1 | 0.729593 | 0.681195 | 1.61e-05 | 1:52:43 | 0:37:34 + 7550 | 1 | 0.703577 | 0.680636 | 1.55e-05 | 1:53:27 | 0:36:48 + 7600 | 1 | 0.609957 | 0.679324 | 1.49e-05 | 1:54:11 | 0:36:03 + 7650 | 1 | 0.581199 | 0.679309 | 1.44e-05 | 1:54:55 | 0:35:18 + 7700 | 1 | 0.664947 | 0.679678 | 1.38e-05 | 1:55:38 | 0:34:32 + 7750 | 1 | 0.617435 | 0.678685 | 1.32e-05 | 1:56:22 | 0:33:47 + 7800 | 1 | 0.668626 | 0.678401 | 1.27e-05 | 1:57:06 | 0:33:01 + 7850 | 1 | 0.624301 | 0.677987 | 1.21e-05 | 1:57:50 | 0:32:16 + 7900 | 1 | 0.722595 | 0.677724 | 1.16e-05 | 1:58:34 | 0:31:31 + 7950 | 1 | 0.628880 | 0.677244 | 1.11e-05 | 1:59:18 | 0:30:45 + 8000 | 1 | 0.642078 | 0.676109 | 1.05e-05 | 2:00:02 | 0:30:00 +[05:41:06] Saved checkpoint -> RESULTS/cub200/run_015/checkpoint-8000 +[05:41:09] Removed old checkpoint: checkpoint-2000 +[05:41:09] Generating 16 validation images ... +[05:41:23] Validation at step 8000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0008000.png + 8050 | 1 | 0.703841 | 0.677353 | 1.00e-05 | 2:01:17 | 0:29:22 + 8100 | 1 | 0.696065 | 0.677255 | 9.55e-06 | 2:02:01 | 0:28:37 + 8150 | 1 | 0.640846 | 0.677576 | 9.07e-06 | 2:02:45 | 0:27:51 + 8200 | 1 | 0.624387 | 0.677531 | 8.60e-06 | 2:03:29 | 0:27:06 + 8250 | 1 | 0.720668 | 0.678663 | 8.14e-06 | 2:04:12 | 0:26:20 + 8300 | 1 | 0.654409 | 0.679090 | 7.70e-06 | 2:04:56 | 0:25:35 + 8350 | 1 | 0.579644 | 0.677739 | 7.26e-06 | 2:05:40 | 0:24:50 + 8400 | 1 | 0.697758 | 0.676526 | 6.84e-06 | 2:06:24 | 0:24:04 + 8450 | 1 | 0.676625 | 0.675876 | 6.43e-06 | 2:07:08 | 0:23:19 + 8500 | 1 | 0.827857 | 0.678272 | 6.03e-06 | 2:07:52 | 0:22:34 + 8550 | 1 | 0.711481 | 0.679346 | 5.64e-06 | 2:08:36 | 0:21:48 + 8600 | 1 | 0.705021 | 0.678842 | 5.26e-06 | 2:09:20 | 0:21:03 + 8650 | 1 | 0.741569 | 0.679566 | 4.90e-06 | 2:10:04 | 0:20:18 + 8700 | 1 | 0.730702 | 0.679082 | 4.55e-06 | 2:10:48 | 0:19:32 + 8750 | 1 | 0.735544 | 0.678396 | 4.21e-06 | 2:11:32 | 0:18:47 + 8800 | 1 | 0.776222 | 0.679318 | 3.89e-06 | 2:12:16 | 0:18:02 + 8850 | 1 | 0.591025 | 0.677496 | 3.57e-06 | 2:13:00 | 0:17:16 + 8900 | 1 | 0.792063 | 0.677878 | 3.27e-06 | 2:13:44 | 0:16:31 + 8950 | 1 | 0.780638 | 0.678245 | 2.98e-06 | 2:14:28 | 0:15:46 + 9000 | 1 | 0.608132 | 0.676818 | 2.71e-06 | 2:15:12 | 0:15:01 +[05:56:02] Generating 16 validation images ... +[05:56:16] Validation at step 9000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0009000.png + 9050 | 1 | 0.462448 | 0.674673 | 2.45e-06 | 2:16:10 | 0:14:17 + 9100 | 1 | 0.687796 | 0.673739 | 2.20e-06 | 2:16:54 | 0:13:32 + 9150 | 1 | 0.642717 | 0.674194 | 1.96e-06 | 2:17:38 | 0:12:47 + 9200 | 1 | 0.485762 | 0.671975 | 1.74e-06 | 2:18:22 | 0:12:01 + 9250 | 1 | 0.706072 | 0.672431 | 1.53e-06 | 2:19:06 | 0:11:16 + 9300 | 1 | 0.707407 | 0.672618 | 1.33e-06 | 2:19:50 | 0:10:31 + 9350 | 1 | 0.679418 | 0.671815 | 1.15e-06 | 2:20:34 | 0:09:46 + 9400 | 1 | 0.701848 | 0.672731 | 9.81e-07 | 2:21:18 | 0:09:01 + 9450 | 1 | 0.768169 | 0.672962 | 8.25e-07 | 2:22:02 | 0:08:16 + 9500 | 1 | 0.647168 | 0.671971 | 6.82e-07 | 2:22:46 | 0:07:30 + 9550 | 1 | 0.728649 | 0.672977 | 5.53e-07 | 2:23:30 | 0:06:45 + 9600 | 1 | 0.558753 | 0.670529 | 4.37e-07 | 2:24:14 | 0:06:00 + 9650 | 1 | 0.704617 | 0.672965 | 3.35e-07 | 2:24:57 | 0:05:15 + 9700 | 1 | 0.640113 | 0.671922 | 2.46e-07 | 2:25:41 | 0:04:30 + 9750 | 1 | 0.613268 | 0.671370 | 1.71e-07 | 2:26:25 | 0:03:45 + 9800 | 1 | 0.725811 | 0.671668 | 1.09e-07 | 2:27:09 | 0:03:00 + 9850 | 1 | 0.615554 | 0.670909 | 6.15e-08 | 2:27:53 | 0:02:15 + 9900 | 1 | 0.674093 | 0.671670 | 2.73e-08 | 2:28:37 | 0:01:30 + 9950 | 1 | 0.885167 | 0.672621 | 6.83e-09 | 2:29:21 | 0:00:45 + 10000 | 1 | 0.578541 | 0.672471 | 0.00e+00 | 2:30:05 | 0:00:00 +[06:11:09] Saved checkpoint -> RESULTS/cub200/run_015/checkpoint-10000 +[06:11:11] Removed old checkpoint: checkpoint-4000 +[06:11:12] Generating 16 validation images ... +[06:11:26] Validation at step 10000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0010000.png +[06:11:26] --- Epoch 1 complete | Steps: 4843 | Avg Loss: 0.683258 --- +[06:11:26] Saving final model ... +[06:11:36] Pipeline saved -> RESULTS/cub200/run_015 +[06:11:36] Generating final validation collage ... +[06:11:36] Generating 16 validation images ... +[06:11:50] Validation at step 10000: generated 16 images -> RESULTS/cub200/run_015/validation/collage_step_0010000.png +[06:11:50] +[06:11:50] ============================================================ +[06:11:50] TRAINING SUMMARY +[06:11:50] ============================================================ +[06:11:50] Total steps : 200 +[06:11:50] Final loss : 0.578541 +[06:11:50] Avg last 100 : 0.672471 +[06:11:50] Min loss : 0.461090 +[06:11:50] Total time : 2:31:00 +[06:11:50] Output : RESULTS/cub200/run_015 +[06:11:50] ============================================================ diff --git a/cub200/sana 1.6/SpeeD/training_args.json b/cub200/sana 1.6/SpeeD/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..d6eea6f5d168daf45ba7691ad92e18c801d47bb7 --- /dev/null +++ b/cub200/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/cub200", + "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": 2, + "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/cub200/run_015" +} \ No newline at end of file diff --git a/cub200/sana 1.6/SpeeD/training_summary.json b/cub200/sana 1.6/SpeeD/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3094d93cb415bb1bc478bc794ef1620ce39b5816 --- /dev/null +++ b/cub200/sana 1.6/SpeeD/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.5785413384437561, + "avg_last_100": 0.6724708062410355, + "min_loss": 0.4610896408557892, + "total_time": "2:31:00" +} \ No newline at end of file diff --git a/cub200/sana 1.6/TD/Eval/eval.log.rank0 b/cub200/sana 1.6/TD/Eval/eval.log.rank0 new file mode 100644 index 0000000000000000000000000000000000000000..56f4ca33b041df0b0b44ca78f8713c89d5f6c493 --- /dev/null +++ b/cub200/sana 1.6/TD/Eval/eval.log.rank0 @@ -0,0 +1,62 @@ +[2026-08-10 01:59:03] [RANK-0] [INFO] Loading Sana pipeline from RESULTS/cub200/run_017 ... +[2026-08-10 01:59:14] [RANK-0] [INFO] Loading FID metric (torchmetrics, feature=2048) ... +[2026-08-10 01:59:15] [RANK-0] [INFO] Loading CLIP (ViT-B/32) ... +[2026-08-10 01:59:16] [RANK-0] [INFO] Loading LPIPS ... +[2026-08-10 01:59:17] [RANK-0] [INFO] Loading PickScore ... +[2026-08-10 01:59:25] [RANK-0] [INFO] Loading HPSv2 (v2.0) ... +[2026-08-10 01:59:40] [RANK-0] [INFO] Loading HPSv2.1 (v2.1) ... +[2026-08-10 01:59:52] [RANK-0] [INFO] Loading Aesthetic scorer ... +[2026-08-10 01:59:55] [RANK-0] [INFO] Dataset: 17685 samples split across 3 GPUs (~369 batches/rank) +[2026-08-10 01:59:55] [RANK-0] [INFO] Starting evaluation... +[2026-08-10 01:59:55] [RANK-0] [INFO] Checkpoint : RESULTS/cub200/run_017 +[2026-08-10 01:59:55] [RANK-0] [INFO] Total samples: 17685 | World size: 3 +[2026-08-10 01:59:55] [RANK-0] [INFO] FID dim : 2048 | Inf steps: 20 | Guidance: 5.0 +[2026-08-10 01:59:55] [RANK-0] [INFO] Saving generated images to: ./RESULTS/cub200/run_017/Eval/generated_images +[2026-08-10 02:04:01] [RANK-0] [INFO] [rank 0] Batch [10/369] | CLIP 29.2164 | LPIPS 0.7701 | Pick 0.2221 | HPSv2 0.2954 | HPSv2.1 0.2859 | Aes 5.4269 +[2026-08-10 02:07:55] [RANK-0] [INFO] [rank 0] Batch [20/369] | CLIP 29.2076 | LPIPS 0.7725 | Pick 0.2223 | HPSv2 0.2962 | HPSv2.1 0.2877 | Aes 5.4169 +[2026-08-10 02:12:12] [RANK-0] [INFO] [rank 0] Batch [30/369] | CLIP 29.1971 | LPIPS 0.7685 | Pick 0.2225 | HPSv2 0.2964 | HPSv2.1 0.2885 | Aes 5.4032 +[2026-08-10 02:16:24] [RANK-0] [INFO] [rank 0] Batch [40/369] | CLIP 29.2557 | LPIPS 0.7729 | Pick 0.2224 | HPSv2 0.2962 | HPSv2.1 0.2884 | Aes 5.3932 +[2026-08-10 02:20:15] [RANK-0] [INFO] [rank 0] Batch [50/369] | CLIP 29.2216 | LPIPS 0.7752 | Pick 0.2224 | HPSv2 0.2962 | HPSv2.1 0.2881 | Aes 5.3923 +[2026-08-10 02:24:08] [RANK-0] [INFO] [rank 0] Batch [60/369] | CLIP 29.2415 | LPIPS 0.7744 | Pick 0.2225 | HPSv2 0.2968 | HPSv2.1 0.2891 | Aes 5.3961 +[2026-08-10 02:27:42] [RANK-0] [INFO] [rank 0] Batch [70/369] | CLIP 29.1832 | LPIPS 0.7726 | Pick 0.2224 | HPSv2 0.2965 | HPSv2.1 0.2887 | Aes 5.4018 +[2026-08-10 02:31:41] [RANK-0] [INFO] [rank 0] Batch [80/369] | CLIP 29.1788 | LPIPS 0.7727 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2886 | Aes 5.3992 +[2026-08-10 02:35:18] [RANK-0] [INFO] [rank 0] Batch [90/369] | CLIP 29.1992 | LPIPS 0.7710 | Pick 0.2224 | HPSv2 0.2966 | HPSv2.1 0.2889 | Aes 5.3978 +[2026-08-10 02:38:58] [RANK-0] [INFO] [rank 0] Batch [100/369] | CLIP 29.2148 | LPIPS 0.7708 | Pick 0.2223 | HPSv2 0.2966 | HPSv2.1 0.2886 | Aes 5.3924 +[2026-08-10 02:42:26] [RANK-0] [INFO] [rank 0] Batch [110/369] | CLIP 29.2339 | LPIPS 0.7712 | Pick 0.2223 | HPSv2 0.2966 | HPSv2.1 0.2886 | Aes 5.3916 +[2026-08-10 02:45:56] [RANK-0] [INFO] [rank 0] Batch [120/369] | CLIP 29.2479 | LPIPS 0.7718 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2885 | Aes 5.3876 +[2026-08-10 02:49:29] [RANK-0] [INFO] [rank 0] Batch [130/369] | CLIP 29.2547 | LPIPS 0.7715 | Pick 0.2224 | HPSv2 0.2967 | HPSv2.1 0.2889 | Aes 5.3904 +[2026-08-10 02:53:13] [RANK-0] [INFO] [rank 0] Batch [140/369] | CLIP 29.2678 | LPIPS 0.7710 | Pick 0.2225 | HPSv2 0.2969 | HPSv2.1 0.2893 | Aes 5.3940 +[2026-08-10 02:56:40] [RANK-0] [INFO] [rank 0] Batch [150/369] | CLIP 29.2709 | LPIPS 0.7714 | Pick 0.2224 | HPSv2 0.2968 | HPSv2.1 0.2891 | Aes 5.3926 +[2026-08-10 03:00:28] [RANK-0] [INFO] [rank 0] Batch [160/369] | CLIP 29.2592 | LPIPS 0.7719 | Pick 0.2224 | HPSv2 0.2967 | HPSv2.1 0.2890 | Aes 5.3937 +[2026-08-10 03:03:54] [RANK-0] [INFO] [rank 0] Batch [170/369] | CLIP 29.2706 | LPIPS 0.7726 | Pick 0.2224 | HPSv2 0.2967 | HPSv2.1 0.2891 | Aes 5.3938 +[2026-08-10 03:07:20] [RANK-0] [INFO] [rank 0] Batch [180/369] | CLIP 29.2647 | LPIPS 0.7728 | Pick 0.2224 | HPSv2 0.2967 | HPSv2.1 0.2890 | Aes 5.3930 +[2026-08-10 03:10:49] [RANK-0] [INFO] [rank 0] Batch [190/369] | CLIP 29.2841 | LPIPS 0.7725 | Pick 0.2225 | HPSv2 0.2968 | HPSv2.1 0.2891 | Aes 5.3924 +[2026-08-10 03:14:16] [RANK-0] [INFO] [rank 0] Batch [200/369] | CLIP 29.2748 | LPIPS 0.7731 | Pick 0.2225 | HPSv2 0.2967 | HPSv2.1 0.2890 | Aes 5.3920 +[2026-08-10 03:17:41] [RANK-0] [INFO] [rank 0] Batch [210/369] | CLIP 29.2597 | LPIPS 0.7735 | Pick 0.2224 | HPSv2 0.2967 | HPSv2.1 0.2889 | Aes 5.3935 +[2026-08-10 03:20:58] [RANK-0] [INFO] [rank 0] Batch [220/369] | CLIP 29.2564 | LPIPS 0.7741 | Pick 0.2224 | HPSv2 0.2967 | HPSv2.1 0.2890 | Aes 5.3949 +[2026-08-10 03:24:20] [RANK-0] [INFO] [rank 0] Batch [230/369] | CLIP 29.2481 | LPIPS 0.7744 | Pick 0.2224 | HPSv2 0.2967 | HPSv2.1 0.2889 | Aes 5.3962 +[2026-08-10 03:28:13] [RANK-0] [INFO] [rank 0] Batch [240/369] | CLIP 29.2411 | LPIPS 0.7744 | Pick 0.2224 | HPSv2 0.2966 | HPSv2.1 0.2888 | Aes 5.3967 +[2026-08-10 03:32:35] [RANK-0] [INFO] [rank 0] Batch [250/369] | CLIP 29.2390 | LPIPS 0.7749 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2887 | Aes 5.3962 +[2026-08-10 03:36:32] [RANK-0] [INFO] [rank 0] Batch [260/369] | CLIP 29.2350 | LPIPS 0.7750 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2887 | Aes 5.3955 +[2026-08-10 03:40:10] [RANK-0] [INFO] [rank 0] Batch [270/369] | CLIP 29.2391 | LPIPS 0.7748 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2887 | Aes 5.3951 +[2026-08-10 03:43:41] [RANK-0] [INFO] [rank 0] Batch [280/369] | CLIP 29.2388 | LPIPS 0.7749 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2887 | Aes 5.3957 +[2026-08-10 03:47:09] [RANK-0] [INFO] [rank 0] Batch [290/369] | CLIP 29.2372 | LPIPS 0.7752 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2887 | Aes 5.3949 +[2026-08-10 03:50:45] [RANK-0] [INFO] [rank 0] Batch [300/369] | CLIP 29.2426 | LPIPS 0.7755 | Pick 0.2222 | HPSv2 0.2964 | HPSv2.1 0.2886 | Aes 5.3934 +[2026-08-10 03:54:42] [RANK-0] [INFO] [rank 0] Batch [310/369] | CLIP 29.2539 | LPIPS 0.7756 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2888 | Aes 5.3948 +[2026-08-10 03:58:32] [RANK-0] [INFO] [rank 0] Batch [320/369] | CLIP 29.2497 | LPIPS 0.7754 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2887 | Aes 5.3951 +[2026-08-10 04:02:08] [RANK-0] [INFO] [rank 0] Batch [330/369] | CLIP 29.2426 | LPIPS 0.7755 | Pick 0.2223 | HPSv2 0.2965 | HPSv2.1 0.2888 | Aes 5.3958 +[2026-08-10 04:05:41] [RANK-0] [INFO] [rank 0] Batch [340/369] | CLIP 29.2396 | LPIPS 0.7756 | Pick 0.2222 | HPSv2 0.2965 | HPSv2.1 0.2887 | Aes 5.3952 +[2026-08-10 04:09:13] [RANK-0] [INFO] [rank 0] Batch [350/369] | CLIP 29.2317 | LPIPS 0.7756 | Pick 0.2222 | HPSv2 0.2964 | HPSv2.1 0.2887 | Aes 5.3952 +[2026-08-10 04:12:45] [RANK-0] [INFO] [rank 0] Batch [360/369] | CLIP 29.2350 | LPIPS 0.7755 | Pick 0.2222 | HPSv2 0.2965 | HPSv2.1 0.2888 | Aes 5.3954 +[2026-08-10 04:15:55] [RANK-0] [INFO] Finished feature extraction. Computing final FID... +[2026-08-10 04:15:58] [RANK-0] [INFO] Gathering other-metric results from all ranks ... +[2026-08-10 04:15:58] [RANK-0] [INFO] ============================================================ +[2026-08-10 04:15:58] [RANK-0] [INFO] FID : 20.786648 +[2026-08-10 04:15:58] [RANK-0] [INFO] CLIP : 29.216891 +[2026-08-10 04:15:58] [RANK-0] [INFO] LPIPS : 0.775794 +[2026-08-10 04:15:58] [RANK-0] [INFO] PickScore : 0.222197 +[2026-08-10 04:15:58] [RANK-0] [INFO] HPSv2 : 0.296414 +[2026-08-10 04:15:58] [RANK-0] [INFO] HPSv2.1 : 0.288516 +[2026-08-10 04:15:58] [RANK-0] [INFO] Aesthetic : 5.393667 +[2026-08-10 04:15:58] [RANK-0] [INFO] ============================================================ +[2026-08-10 04:15:58] [RANK-0] [INFO] Results saved to ./RESULTS/cub200/run_017/Eval/eval_results.json diff --git a/cub200/sana 1.6/TD/Eval/eval.log.rank1 b/cub200/sana 1.6/TD/Eval/eval.log.rank1 new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/cub200/sana 1.6/TD/Eval/eval.log.rank2 b/cub200/sana 1.6/TD/Eval/eval.log.rank2 new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/cub200/sana 1.6/TD/Eval/eval_results.json b/cub200/sana 1.6/TD/Eval/eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..695696bc19e116e85eecadde8cd7df50718de1a9 --- /dev/null +++ b/cub200/sana 1.6/TD/Eval/eval_results.json @@ -0,0 +1,16 @@ +{ + "checkpoint": "RESULTS/cub200/run_017", + "num_samples": 17685, + "world_size": 3, + "resolution": 512, + "fid_dim": 2048, + "inf_steps": 20, + "guidance": 5.0, + "FID": 20.78664779663086, + "CLIP": 29.216890975281043, + "LPIPS": 0.7757935760897781, + "PickScore": 0.22219749124931498, + "HPSv2": 0.29641379499193804, + "HPSv2.1": 0.28851604290645017, + "Aesthetic": 5.393667129320181 +} \ No newline at end of file diff --git a/cub200/sana 1.6/TD/checkpoint-10000/transformer/config.json b/cub200/sana 1.6/TD/checkpoint-10000/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..78fa08370aa526b0ef4ac416a7f176d967ac2da4 --- /dev/null +++ b/cub200/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/cub200/sana 1.6/TD/model_index.json b/cub200/sana 1.6/TD/model_index.json new file mode 100644 index 0000000000000000000000000000000000000000..5a56c68528dcebd6e6361e6fad63c8cfb0c145a1 --- /dev/null +++ b/cub200/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/cub200/sana 1.6/TD/scheduler/scheduler_config.json b/cub200/sana 1.6/TD/scheduler/scheduler_config.json new file mode 100644 index 0000000000000000000000000000000000000000..438267411be16a289ebaf6964fbea7c4d11c15f8 --- /dev/null +++ b/cub200/sana 1.6/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/cub200/sana 1.6/TD/text_encoder/config.json b/cub200/sana 1.6/TD/text_encoder/config.json new file mode 100644 index 0000000000000000000000000000000000000000..8caf765a38d6b143f27b8326f4fd4b2d3c054613 --- /dev/null +++ b/cub200/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/cub200/sana 1.6/TD/tokenizer/chat_template.jinja b/cub200/sana 1.6/TD/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..923ec253c8dbefbb41cf084db7251df41d000f6d --- /dev/null +++ b/cub200/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/cub200/sana 1.6/TD/tokenizer/tokenizer_config.json b/cub200/sana 1.6/TD/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..5b4cda396aa4050a6cb92d7a4c0297031eb80e6d --- /dev/null +++ b/cub200/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/cub200/sana 1.6/TD/training.log b/cub200/sana 1.6/TD/training.log new file mode 100644 index 0000000000000000000000000000000000000000..ff60c95cfe2b0de7f5e63595bc8e44f555a15c49 --- /dev/null +++ b/cub200/sana 1.6/TD/training.log @@ -0,0 +1,473 @@ +Training started: 2026-08-09 17:57:11 +========================================================================================== + Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA +------------------------------------------------------------------------------------------ +[17:57:11] Run directory: RESULTS/cub200/run_017 +[17:57:11] cuDNN SDPA disabled -- using Flash/math backend for bf16 compatibility +[17:57:11] Loading pretrained SANA components ... +[17:57:32] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable +[17:57:32] 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) +[17:57:33] Building dataset ... +[17:57:33] Step-based training: 10000 steps (~2 epochs over dataset) +[17:57:35] +[17:57:35] ================================================================ +[17:57:35] Output dir = RESULTS/cub200/run_017 +[17:57:35] Num examples = 41255 +[17:57:35] Num epochs = 2 +[17:57:35] Batch/device = 8 +[17:57:35] Grad accum = 1 +[17:57:35] Effective BS = 8 +[17:57:35] Total optim steps = 10000 +[17:57:35] LR = 0.0001 +[17:57:35] Precision = bf16 +[17:57:35] TD = True +[17:57:35] Log every = 50 steps +[17:57:35] Validate every = 1000 steps +[17:57:35] Checkpoint every = 2000 steps +[17:57:35] ================================================================ +[17:57:35] + 50 | 0 | 0.828713 | 0.828713 | 1.00e-05 | 0:01:19 | 4:22:35 +[17:58:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000304 + 100 | 0 | 0.803143 | 0.815928 | 2.00e-05 | 0:02:11 | 3:36:53 +[17:59:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000120 + 150 | 0 | 0.802575 | 0.811477 | 3.00e-05 | 0:03:03 | 3:21:20 +[18:00:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000251 + 200 | 0 | 0.904868 | 0.834825 | 4.00e-05 | 0:03:56 | 3:13:14 +[18:01:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000228 + 250 | 0 | 0.709977 | 0.809855 | 5.00e-05 | 0:04:49 | 3:08:05 +[18:02:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000276 + 300 | 0 | 0.865012 | 0.819048 | 6.00e-05 | 0:05:42 | 3:04:22 +[18:02:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000069 + 350 | 0 | 0.813904 | 0.818313 | 7.00e-05 | 0:06:34 | 3:01:27 +[18:03:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000379 + 400 | 0 | 0.692445 | 0.802580 | 8.00e-05 | 0:07:27 | 2:59:02 +[18:04:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000212 + 450 | 0 | 0.592693 | 0.779259 | 9.00e-05 | 0:08:20 | 2:56:57 +[18:05:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000500 + 500 | 0 | 0.748840 | 0.776217 | 1.00e-04 | 0:09:13 | 2:55:07 +[18:06:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000172 + 550 | 0 | 0.787801 | 0.777270 | 1.00e-04 | 0:10:05 | 2:53:26 +[18:07:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000300 + 600 | 0 | 0.957705 | 0.792306 | 1.00e-04 | 0:10:58 | 2:51:55 +[18:08:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000262 + 650 | 0 | 0.794008 | 0.792437 | 9.99e-05 | 0:11:51 | 2:50:28 +[18:09:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000212 + 700 | 0 | 0.740207 | 0.788707 | 9.99e-05 | 0:12:43 | 2:49:07 +[18:09:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000201 + 750 | 0 | 0.752768 | 0.786311 | 9.98e-05 | 0:13:36 | 2:47:49 +[18:10:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000243 + 800 | 0 | 0.738950 | 0.783351 | 9.98e-05 | 0:14:29 | 2:46:34 +[18:11:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000258 + 850 | 0 | 0.885628 | 0.789367 | 9.97e-05 | 0:15:21 | 2:45:22 +[18:12:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000316 + 900 | 0 | 0.697106 | 0.784241 | 9.96e-05 | 0:16:14 | 2:44:12 +[18:13:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000157 + 950 | 0 | 0.891641 | 0.789894 | 9.94e-05 | 0:17:07 | 2:43:04 +[18:14:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000387 + 1000 | 0 | 0.737872 | 0.787293 | 9.93e-05 | 0:17:59 | 2:41:57 +[18:15:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000314 +[18:15:14] Generating 16 validation images ... +[18:15:28] Validation at step 1000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0001000.png + 1050 | 0 | 0.755684 | 0.785788 | 9.92e-05 | 0:19:11 | 2:43:35 +[18:16:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000392 + 1100 | 0 | 1.020515 | 0.796457 | 9.90e-05 | 0:20:04 | 2:42:23 +[18:17:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000105 + 1150 | 0 | 0.798287 | 0.796537 | 9.88e-05 | 0:20:56 | 2:41:12 +[18:18:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000588 + 1200 | 0 | 0.826647 | 0.797791 | 9.87e-05 | 0:21:49 | 2:40:03 +[18:19:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000214 + 1250 | 0 | 0.908612 | 0.802224 | 9.85e-05 | 0:22:42 | 2:38:56 +[18:19:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000370 + 1300 | 0 | 0.812880 | 0.802634 | 9.83e-05 | 0:23:35 | 2:37:50 +[18:20:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000339 + 1350 | 0 | 0.821595 | 0.803336 | 9.80e-05 | 0:24:27 | 2:36:45 +[18:21:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000242 + 1400 | 0 | 0.956082 | 0.808791 | 9.78e-05 | 0:25:20 | 2:35:40 +[18:22:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000336 + 1450 | 0 | 0.771896 | 0.807519 | 9.76e-05 | 0:26:13 | 2:34:36 +[18:23:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000419 + 1500 | 0 | 0.775872 | 0.806464 | 9.73e-05 | 0:27:05 | 2:33:33 +[18:24:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000312 + 1550 | 0 | 0.748005 | 0.804578 | 9.70e-05 | 0:27:58 | 2:32:31 +[18:25:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000197 + 1600 | 0 | 0.810540 | 0.804765 | 9.67e-05 | 0:28:51 | 2:31:30 +[18:26:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000258 + 1650 | 0 | 0.814242 | 0.805052 | 9.64e-05 | 0:29:44 | 2:30:28 +[18:26:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000427 + 1700 | 0 | 0.781956 | 0.804373 | 9.61e-05 | 0:30:36 | 2:29:28 +[18:27:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000389 + 1750 | 0 | 0.844691 | 0.805525 | 9.58e-05 | 0:31:29 | 2:28:27 +[18:28:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000361 + 1800 | 0 | 0.872898 | 0.807396 | 9.55e-05 | 0:32:22 | 2:27:27 +[18:29:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000170 + 1850 | 0 | 0.865817 | 0.808975 | 9.51e-05 | 0:33:14 | 2:26:28 +[18:30:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000418 + 1900 | 0 | 0.779847 | 0.808208 | 9.47e-05 | 0:34:07 | 2:25:29 +[18:31:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000068 + 1950 | 0 | 0.856085 | 0.809436 | 9.44e-05 | 0:35:00 | 2:24:30 +[18:32:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000316 + 2000 | 0 | 0.951059 | 0.812977 | 9.40e-05 | 0:35:52 | 2:23:31 +[18:33:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000075 +[18:33:18] Saved checkpoint -> RESULTS/cub200/run_017/checkpoint-2000 +[18:33:20] Generating 16 validation images ... +[18:33:34] Validation at step 2000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0002000.png + 2050 | 0 | 0.766424 | 0.811841 | 9.36e-05 | 0:37:17 | 2:24:36 +[18:34:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000470 + 2100 | 0 | 0.725214 | 0.809779 | 9.32e-05 | 0:38:09 | 2:23:34 +[18:35:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000188 + 2150 | 0 | 0.885687 | 0.811544 | 9.27e-05 | 0:39:02 | 2:22:33 +[18:36:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000211 + 2200 | 0 | 0.709528 | 0.809225 | 9.23e-05 | 0:39:55 | 2:21:32 +[18:37:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000572 + 2250 | 0 | 0.902781 | 0.811304 | 9.19e-05 | 0:40:48 | 2:20:32 +[18:37:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000265 + 2300 | 0 | 0.803941 | 0.811144 | 9.14e-05 | 0:41:40 | 2:19:32 +[18:38:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000393 + 2350 | 0 | 0.828854 | 0.811521 | 9.09e-05 | 0:42:33 | 2:18:32 +[18:39:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000280 + 2400 | 0 | 0.911724 | 0.813609 | 9.05e-05 | 0:43:26 | 2:17:33 +[18:40:37] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000191 + 2450 | 0 | 0.923836 | 0.815858 | 9.00e-05 | 0:44:18 | 2:16:34 +[18:41:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000334 + 2500 | 0 | 0.841998 | 0.816381 | 8.95e-05 | 0:45:11 | 2:15:35 +[18:42:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000264 + 2550 | 0 | 0.814736 | 0.816349 | 8.89e-05 | 0:46:04 | 2:14:36 +[18:43:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000281 + 2600 | 0 | 0.922137 | 0.818383 | 8.84e-05 | 0:46:57 | 2:13:37 +[18:44:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000217 + 2650 | 0 | 0.777799 | 0.817617 | 8.79e-05 | 0:47:49 | 2:12:39 +[18:45:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000268 + 2700 | 0 | 0.789747 | 0.817101 | 8.73e-05 | 0:48:42 | 2:11:41 +[18:45:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000150 + 2750 | 0 | 0.876909 | 0.818189 | 8.68e-05 | 0:49:35 | 2:10:43 +[18:46:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000354 + 2800 | 0 | 0.826550 | 0.818338 | 8.62e-05 | 0:50:27 | 2:09:46 +[18:47:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000272 + 2850 | 0 | 0.746422 | 0.817076 | 8.56e-05 | 0:51:20 | 2:08:48 +[18:48:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000281 + 2900 | 0 | 0.783983 | 0.816506 | 8.51e-05 | 0:52:13 | 2:07:51 +[18:49:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000509 + 2950 | 0 | 0.707442 | 0.814657 | 8.45e-05 | 0:53:06 | 2:06:54 +[18:50:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000231 + 3000 | 0 | 0.846817 | 0.815193 | 8.39e-05 | 0:53:58 | 2:05:57 +[18:51:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000363 +[18:51:11] Generating 16 validation images ... +[18:51:25] Validation at step 3000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0003000.png + 3050 | 0 | 0.846853 | 0.815712 | 8.33e-05 | 0:55:07 | 2:05:37 +[18:52:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000182 + 3100 | 0 | 0.754259 | 0.814721 | 8.26e-05 | 0:56:00 | 2:04:39 +[18:53:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000320 + 3150 | 0 | 0.857663 | 0.815403 | 8.20e-05 | 0:56:53 | 2:03:42 +[18:54:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000115 + 3200 | 0 | 0.902741 | 0.816767 | 8.14e-05 | 0:57:45 | 2:02:44 +[18:54:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000170 + 3250 | 0 | 0.814990 | 0.816740 | 8.07e-05 | 0:58:38 | 2:01:47 +[18:55:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000115 + 3300 | 0 | 0.685614 | 0.814753 | 8.01e-05 | 0:59:31 | 2:00:51 +[18:56:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000295 + 3350 | 0 | 0.817030 | 0.814787 | 7.94e-05 | 1:00:24 | 1:59:54 +[18:57:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000209 + 3400 | 0 | 0.745710 | 0.813771 | 7.87e-05 | 1:01:16 | 1:58:57 +[18:58:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000509 + 3450 | 0 | 0.728037 | 0.812529 | 7.80e-05 | 1:02:09 | 1:58:00 +[18:59:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000365 + 3500 | 0 | 0.788438 | 0.812185 | 7.73e-05 | 1:03:02 | 1:57:03 +[19:00:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000164 + 3550 | 0 | 0.837652 | 0.812543 | 7.67e-05 | 1:03:54 | 1:56:07 +[19:01:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000133 + 3600 | 0 | 0.843094 | 0.812968 | 7.59e-05 | 1:04:47 | 1:55:10 +[19:01:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000507 + 3650 | 0 | 0.862362 | 0.813644 | 7.52e-05 | 1:05:39 | 1:54:13 +[19:02:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000185 + 3700 | 0 | 0.882279 | 0.814572 | 7.45e-05 | 1:06:31 | 1:53:17 +[19:03:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000683 + 3750 | 0 | 0.761370 | 0.813863 | 7.38e-05 | 1:07:24 | 1:52:20 +[19:04:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000475 + 3800 | 0 | 0.683407 | 0.812146 | 7.31e-05 | 1:08:16 | 1:51:24 +[19:05:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000334 + 3850 | 0 | 0.915796 | 0.813492 | 7.23e-05 | 1:09:09 | 1:50:27 +[19:06:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000320 + 3900 | 0 | 0.798691 | 0.813302 | 7.16e-05 | 1:10:01 | 1:49:31 +[19:07:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000426 + 3950 | 0 | 0.863842 | 0.813942 | 7.08e-05 | 1:10:53 | 1:48:35 +[19:08:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000300 + 4000 | 0 | 0.789034 | 0.813631 | 7.01e-05 | 1:11:46 | 1:47:39 +[19:08:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000636 +[19:09:13] Saved checkpoint -> RESULTS/cub200/run_017/checkpoint-4000 +[19:09:16] Generating 16 validation images ... +[19:09:30] Validation at step 4000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0004000.png + 4050 | 0 | 0.743062 | 0.812760 | 6.93e-05 | 1:13:14 | 1:47:35 +[19:10:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000435 + 4100 | 0 | 0.880099 | 0.813581 | 6.86e-05 | 1:14:06 | 1:46:38 +[19:11:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000275 + 4150 | 0 | 0.781565 | 0.813195 | 6.78e-05 | 1:14:58 | 1:45:41 +[19:12:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000189 + 4200 | 0 | 0.830075 | 0.813396 | 6.70e-05 | 1:15:51 | 1:44:45 +[19:13:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000416 + 4250 | 0 | 0.842176 | 0.813735 | 6.62e-05 | 1:16:43 | 1:43:48 +[19:13:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000351 + 4300 | 0 | 0.742566 | 0.812907 | 6.55e-05 | 1:17:36 | 1:42:52 +[19:14:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000466 + 4350 | 0 | 0.760078 | 0.812300 | 6.47e-05 | 1:18:28 | 1:41:55 +[19:15:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000406 + 4400 | 0 | 0.806331 | 0.812232 | 6.39e-05 | 1:19:20 | 1:40:59 +[19:16:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000253 + 4450 | 0 | 0.845368 | 0.812604 | 6.31e-05 | 1:20:13 | 1:40:03 +[19:17:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000903 + 4500 | 0 | 0.921200 | 0.813811 | 6.23e-05 | 1:21:05 | 1:39:06 +[19:18:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000214 + 4550 | 0 | 0.905950 | 0.814823 | 6.15e-05 | 1:21:58 | 1:38:10 +[19:19:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000099 + 4600 | 0 | 0.892647 | 0.815669 | 6.07e-05 | 1:22:50 | 1:37:14 +[19:20:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000423 + 4650 | 0 | 0.673791 | 0.814144 | 5.99e-05 | 1:23:42 | 1:36:19 +[19:20:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000093 + 4700 | 0 | 0.828610 | 0.814298 | 5.90e-05 | 1:24:35 | 1:35:23 +[19:21:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000256 + 4750 | 0 | 0.776057 | 0.813895 | 5.82e-05 | 1:25:27 | 1:34:27 +[19:22:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000173 + 4800 | 0 | 0.820968 | 0.813969 | 5.74e-05 | 1:26:20 | 1:33:31 +[19:23:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000286 + 4850 | 0 | 0.801109 | 0.813836 | 5.66e-05 | 1:27:12 | 1:32:36 +[19:24:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000305 + 4900 | 0 | 0.696110 | 0.812635 | 5.58e-05 | 1:28:04 | 1:31:40 +[19:25:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000221 + 4950 | 0 | 0.729228 | 0.811792 | 5.50e-05 | 1:28:57 | 1:30:45 +[19:26:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000660 + 5000 | 0 | 0.640226 | 0.810077 | 5.41e-05 | 1:29:49 | 1:29:49 +[19:27:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000326 +[19:27:04] Generating 16 validation images ... +[19:27:18] Validation at step 5000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0005000.png + 5050 | 0 | 0.799534 | 0.809785 | 5.33e-05 | 1:31:01 | 1:29:13 +[19:28:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000251 + 5100 | 0 | 0.797043 | 0.809724 | 5.25e-05 | 1:31:53 | 1:28:17 +[19:29:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000300 + 5150 | 0 | 0.755488 | 0.809253 | 5.17e-05 | 1:32:46 | 1:27:22 +[19:29:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000542 +[19:30:05] --- Epoch 0 complete | Steps: 5157 | Avg Loss: 0.792865 --- + 5200 | 1 | 0.847335 | 0.808678 | 5.08e-05 | 1:33:38 | 1:26:26 +[19:30:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000157 + 5250 | 1 | 0.663027 | 0.808208 | 5.00e-05 | 1:34:31 | 1:25:31 +[19:31:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000210 + 5300 | 1 | 0.868644 | 0.808245 | 4.92e-05 | 1:35:23 | 1:24:35 +[19:32:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000261 + 5350 | 1 | 0.815862 | 0.808264 | 4.83e-05 | 1:36:16 | 1:23:40 +[19:33:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000127 + 5400 | 1 | 0.900159 | 0.810341 | 4.75e-05 | 1:37:08 | 1:22:44 +[19:34:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000219 + 5450 | 1 | 0.858172 | 0.812996 | 4.67e-05 | 1:38:00 | 1:21:49 +[19:35:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000212 + 5500 | 1 | 0.913909 | 0.814647 | 4.59e-05 | 1:38:53 | 1:20:54 +[19:36:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000493 + 5550 | 1 | 0.719778 | 0.813967 | 4.50e-05 | 1:39:45 | 1:19:59 +[19:36:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000301 + 5600 | 1 | 0.765222 | 0.812042 | 4.42e-05 | 1:40:37 | 1:19:04 +[19:37:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000356 + 5650 | 1 | 0.768394 | 0.811786 | 4.34e-05 | 1:41:30 | 1:18:09 +[19:38:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000076 + 5700 | 1 | 0.653328 | 0.810917 | 4.26e-05 | 1:42:22 | 1:17:14 +[19:39:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000219 + 5750 | 1 | 0.807145 | 0.811461 | 4.18e-05 | 1:43:15 | 1:16:19 +[19:40:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000350 + 5800 | 1 | 0.840002 | 0.812471 | 4.10e-05 | 1:44:07 | 1:15:24 +[19:41:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000478 + 5850 | 1 | 0.678724 | 0.810402 | 4.01e-05 | 1:44:59 | 1:14:29 +[19:42:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000249 + 5900 | 1 | 0.695915 | 0.810390 | 3.93e-05 | 1:45:52 | 1:13:34 +[19:43:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000262 + 5950 | 1 | 0.672400 | 0.808198 | 3.85e-05 | 1:46:44 | 1:12:39 +[19:43:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000281 + 6000 | 1 | 1.007732 | 0.810896 | 3.77e-05 | 1:47:37 | 1:11:44 +[19:44:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000230 +[19:45:04] Saved checkpoint -> RESULTS/cub200/run_017/checkpoint-6000 +[19:45:05] Generating 16 validation images ... +[19:45:20] Validation at step 6000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0006000.png + 6050 | 1 | 0.779002 | 0.811130 | 3.69e-05 | 1:49:03 | 1:11:12 +[19:46:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000234 + 6100 | 1 | 0.679549 | 0.807720 | 3.61e-05 | 1:49:55 | 1:10:16 +[19:47:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000400 + 6150 | 1 | 0.870955 | 0.808447 | 3.53e-05 | 1:50:47 | 1:09:21 +[19:47:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000182 + 6200 | 1 | 0.680407 | 0.806984 | 3.45e-05 | 1:51:40 | 1:08:26 +[19:48:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000263 + 6250 | 1 | 0.848465 | 0.806383 | 3.38e-05 | 1:52:32 | 1:07:31 +[19:49:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000182 + 6300 | 1 | 0.753696 | 0.805791 | 3.30e-05 | 1:53:24 | 1:06:36 +[19:50:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000309 + 6350 | 1 | 0.701055 | 0.804585 | 3.22e-05 | 1:54:17 | 1:05:41 +[19:51:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000504 + 6400 | 1 | 0.815939 | 0.803184 | 3.14e-05 | 1:55:09 | 1:04:46 +[19:52:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000127 + 6450 | 1 | 0.756679 | 0.803032 | 3.07e-05 | 1:56:02 | 1:03:51 +[19:53:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000064 + 6500 | 1 | 0.675244 | 0.802026 | 2.99e-05 | 1:56:54 | 1:02:57 +[19:54:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000322 + 6550 | 1 | 0.875489 | 0.803300 | 2.92e-05 | 1:57:46 | 1:02:02 +[19:54:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000193 + 6600 | 1 | 0.796124 | 0.803156 | 2.84e-05 | 1:58:39 | 1:01:07 +[19:55:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000422 + 6650 | 1 | 0.884289 | 0.803857 | 2.77e-05 | 1:59:31 | 1:00:12 +[19:56:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000302 + 6700 | 1 | 0.653509 | 0.802572 | 2.69e-05 | 2:00:24 | 0:59:18 +[19:57:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000260 + 6750 | 1 | 0.812711 | 0.802252 | 2.62e-05 | 2:01:16 | 0:58:23 +[19:58:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000109 + 6800 | 1 | 0.929206 | 0.802816 | 2.55e-05 | 2:02:08 | 0:57:28 +[19:59:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000333 + 6850 | 1 | 0.588563 | 0.800043 | 2.48e-05 | 2:03:01 | 0:56:34 +[20:00:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000330 + 6900 | 1 | 1.001423 | 0.802259 | 2.41e-05 | 2:03:53 | 0:55:39 +[20:01:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000138 + 6950 | 1 | 0.875244 | 0.802450 | 2.33e-05 | 2:04:45 | 0:54:45 +[20:01:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000167 + 7000 | 1 | 0.678992 | 0.799730 | 2.27e-05 | 2:05:38 | 0:53:50 +[20:02:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000496 +[20:02:52] Generating 16 validation images ... +[20:03:06] Validation at step 7000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0007000.png + 7050 | 1 | 0.635241 | 0.798418 | 2.20e-05 | 2:06:49 | 0:53:03 +[20:04:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000129 + 7100 | 1 | 0.760263 | 0.798768 | 2.13e-05 | 2:07:41 | 0:52:09 +[20:04:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000207 + 7150 | 1 | 0.834344 | 0.798255 | 2.06e-05 | 2:08:33 | 0:51:14 +[20:05:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000225 + 7200 | 1 | 0.755122 | 0.798711 | 1.99e-05 | 2:09:26 | 0:50:20 +[20:06:37] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000174 + 7250 | 1 | 0.669886 | 0.796382 | 1.93e-05 | 2:10:18 | 0:49:25 +[20:07:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000271 + 7300 | 1 | 0.790661 | 0.796249 | 1.86e-05 | 2:11:10 | 0:48:31 +[20:08:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000162 + 7350 | 1 | 0.702115 | 0.794982 | 1.80e-05 | 2:12:03 | 0:47:36 +[20:09:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000296 + 7400 | 1 | 0.752687 | 0.793391 | 1.74e-05 | 2:12:55 | 0:46:42 +[20:10:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000294 + 7450 | 1 | 0.707103 | 0.791224 | 1.67e-05 | 2:13:47 | 0:45:47 +[20:10:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000359 + 7500 | 1 | 0.777475 | 0.790579 | 1.61e-05 | 2:14:40 | 0:44:53 +[20:11:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000117 + 7550 | 1 | 0.789711 | 0.790329 | 1.55e-05 | 2:15:32 | 0:43:59 +[20:12:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000095 + 7600 | 1 | 0.758898 | 0.788696 | 1.49e-05 | 2:16:24 | 0:43:04 +[20:13:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000311 + 7650 | 1 | 0.760211 | 0.788520 | 1.44e-05 | 2:17:17 | 0:42:10 +[20:14:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000183 + 7700 | 1 | 0.966471 | 0.790287 | 1.38e-05 | 2:18:09 | 0:41:16 +[20:15:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000148 + 7750 | 1 | 0.727643 | 0.788795 | 1.32e-05 | 2:19:01 | 0:40:21 +[20:16:13] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000522 + 7800 | 1 | 0.636369 | 0.786893 | 1.27e-05 | 2:19:54 | 0:39:27 +[20:17:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000165 + 7850 | 1 | 0.741473 | 0.786844 | 1.21e-05 | 2:20:46 | 0:38:33 +[20:17:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000098 + 7900 | 1 | 0.811975 | 0.787123 | 1.16e-05 | 2:21:38 | 0:37:39 +[20:18:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000160 + 7950 | 1 | 0.950262 | 0.789552 | 1.11e-05 | 2:22:31 | 0:36:45 +[20:19:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000475 + 8000 | 1 | 0.753369 | 0.788617 | 1.05e-05 | 2:23:23 | 0:35:50 +[20:20:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000130 +[20:20:51] Saved checkpoint -> RESULTS/cub200/run_017/checkpoint-8000 +[20:20:53] Removed old checkpoint: checkpoint-2000 +[20:20:55] Generating 16 validation images ... +[20:21:09] Validation at step 8000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0008000.png + 8050 | 1 | 0.790399 | 0.788053 | 1.00e-05 | 2:24:52 | 0:35:05 +[20:22:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000132 + 8100 | 1 | 0.860166 | 0.789112 | 9.55e-06 | 2:25:44 | 0:34:11 +[20:22:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000306 + 8150 | 1 | 0.835487 | 0.788890 | 9.07e-06 | 2:26:37 | 0:33:16 +[20:23:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000295 + 8200 | 1 | 0.826195 | 0.788124 | 8.60e-06 | 2:27:29 | 0:32:22 +[20:24:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000192 + 8250 | 1 | 0.739269 | 0.787367 | 8.14e-06 | 2:28:21 | 0:31:28 +[20:25:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000333 + 8300 | 1 | 0.843223 | 0.788943 | 7.70e-06 | 2:29:14 | 0:30:33 +[20:26:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000210 + 8350 | 1 | 0.852381 | 0.789297 | 7.26e-06 | 2:30:06 | 0:29:39 +[20:27:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000116 + 8400 | 1 | 0.661597 | 0.788456 | 6.84e-06 | 2:30:58 | 0:28:45 +[20:28:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000220 + 8450 | 1 | 0.685203 | 0.788027 | 6.43e-06 | 2:31:51 | 0:27:51 +[20:29:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000214 + 8500 | 1 | 0.877893 | 0.788922 | 6.03e-06 | 2:32:43 | 0:26:57 +[20:29:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000334 + 8550 | 1 | 0.727960 | 0.787825 | 5.64e-06 | 2:33:35 | 0:26:02 +[20:30:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000218 + 8600 | 1 | 0.857367 | 0.787968 | 5.26e-06 | 2:34:28 | 0:25:08 +[20:31:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000244 + 8650 | 1 | 0.746631 | 0.786810 | 4.90e-06 | 2:35:20 | 0:24:14 +[20:32:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000236 + 8700 | 1 | 0.722429 | 0.785212 | 4.55e-06 | 2:36:12 | 0:23:20 +[20:33:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000262 + 8750 | 1 | 0.763503 | 0.785233 | 4.21e-06 | 2:37:05 | 0:22:26 +[20:34:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000198 + 8800 | 1 | 0.880970 | 0.787209 | 3.89e-06 | 2:37:57 | 0:21:32 +[20:35:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000372 + 8850 | 1 | 0.803212 | 0.786083 | 3.57e-06 | 2:38:49 | 0:20:38 +[20:36:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000157 + 8900 | 1 | 0.653986 | 0.784636 | 3.27e-06 | 2:39:42 | 0:19:44 +[20:36:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000412 + 8950 | 1 | 0.752968 | 0.783527 | 2.98e-06 | 2:40:34 | 0:18:50 +[20:37:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000381 + 9000 | 1 | 0.850568 | 0.784143 | 2.71e-06 | 2:41:26 | 0:17:56 +[20:38:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000236 +[20:38:39] Generating 16 validation images ... +[20:38:53] Validation at step 9000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0009000.png + 9050 | 1 | 0.857747 | 0.785289 | 2.45e-06 | 2:42:36 | 0:17:04 +[20:39:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000170 + 9100 | 1 | 0.801615 | 0.784505 | 2.20e-06 | 2:43:29 | 0:16:10 +[20:40:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000361 + 9150 | 1 | 0.791003 | 0.784599 | 1.96e-06 | 2:44:21 | 0:15:16 +[20:41:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000296 + 9200 | 1 | 0.744496 | 0.783743 | 1.74e-06 | 2:45:13 | 0:14:22 +[20:42:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000265 + 9250 | 1 | 0.639674 | 0.781718 | 1.53e-06 | 2:46:06 | 0:13:28 +[20:43:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000320 + 9300 | 1 | 0.627882 | 0.780571 | 1.33e-06 | 2:46:58 | 0:12:34 +[20:44:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000283 + 9350 | 1 | 0.706847 | 0.780039 | 1.15e-06 | 2:47:51 | 0:11:40 +[20:45:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000245 + 9400 | 1 | 0.821939 | 0.780195 | 9.81e-07 | 2:48:43 | 0:10:46 +[20:45:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000347 + 9450 | 1 | 0.658012 | 0.778322 | 8.25e-07 | 2:49:35 | 0:09:52 +[20:46:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000287 + 9500 | 1 | 0.824646 | 0.777356 | 6.82e-07 | 2:50:28 | 0:08:58 +[20:47:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000262 + 9550 | 1 | 0.815671 | 0.776453 | 5.53e-07 | 2:51:20 | 0:08:04 +[20:48:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000232 + 9600 | 1 | 0.693090 | 0.774458 | 4.37e-07 | 2:52:12 | 0:07:10 +[20:49:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000325 + 9650 | 1 | 0.750454 | 0.775224 | 3.35e-07 | 2:53:05 | 0:06:16 +[20:50:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000407 + 9700 | 1 | 0.845819 | 0.775396 | 2.46e-07 | 2:53:57 | 0:05:22 +[20:51:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000324 + 9750 | 1 | 0.657822 | 0.774214 | 1.71e-07 | 2:54:50 | 0:04:28 +[20:52:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000258 + 9800 | 1 | 0.705594 | 0.773060 | 1.09e-07 | 2:55:42 | 0:03:35 +[20:52:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000210 + 9850 | 1 | 0.791051 | 0.772960 | 6.15e-08 | 2:56:34 | 0:02:41 +[20:53:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000214 + 9900 | 1 | 0.818679 | 0.774185 | 2.73e-08 | 2:57:27 | 0:01:47 +[20:54:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000185 + 9950 | 1 | 0.762361 | 0.774517 | 6.83e-09 | 2:58:19 | 0:00:53 +[20:55:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000323 + 10000 | 1 | 0.710144 | 0.775216 | 0.00e+00 | 2:59:11 | 0:00:00 +[20:56:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000457 +[20:56:37] Saved checkpoint -> RESULTS/cub200/run_017/checkpoint-10000 +[20:56:39] Removed old checkpoint: checkpoint-4000 +[20:56:40] Generating 16 validation images ... +[20:56:54] Validation at step 10000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0010000.png +[20:56:55] --- Epoch 1 complete | Steps: 4843 | Avg Loss: 0.788165 --- +[20:56:55] Saving final model ... +[20:57:08] Pipeline saved -> RESULTS/cub200/run_017 +[20:57:08] Generating final validation collage ... +[20:57:08] Generating 16 validation images ... +[20:57:22] Validation at step 10000: generated 16 images -> RESULTS/cub200/run_017/validation/collage_step_0010000.png +[20:57:23] +[20:57:23] ============================================================ +[20:57:23] TRAINING SUMMARY +[20:57:23] ============================================================ +[20:57:23] Total steps : 200 +[20:57:23] Final loss : 0.710144 +[20:57:23] Avg last 100 : 0.775216 +[20:57:23] Min loss : 0.588563 +[20:57:23] Total time : 3:00:11 +[20:57:23] Output : RESULTS/cub200/run_017 +[20:57:23] ============================================================ diff --git a/cub200/sana 1.6/TD/training_args.json b/cub200/sana 1.6/TD/training_args.json new file mode 100644 index 0000000000000000000000000000000000000000..b896cc58f43442da15497efff48dd89b25991993 --- /dev/null +++ b/cub200/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/cub200", + "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": 2, + "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/cub200/run_017" +} \ No newline at end of file diff --git a/cub200/sana 1.6/TD/training_summary.json b/cub200/sana 1.6/TD/training_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5cfba97f0fe557a70163cb5a5a14e878bf0dc9ef --- /dev/null +++ b/cub200/sana 1.6/TD/training_summary.json @@ -0,0 +1,7 @@ +{ + "total_steps": 200, + "final_loss": 0.7101436257362366, + "avg_last_100": 0.7752158915996552, + "min_loss": 0.5885634422302246, + "total_time": "3:00:11" +} \ No newline at end of file diff --git a/cub200/sana 1.6/TD/transformer/config.json b/cub200/sana 1.6/TD/transformer/config.json new file mode 100644 index 0000000000000000000000000000000000000000..78fa08370aa526b0ef4ac416a7f176d967ac2da4 --- /dev/null +++ b/cub200/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/cub200/sana 1.6/TD/vae/config.json b/cub200/sana 1.6/TD/vae/config.json new file mode 100644 index 0000000000000000000000000000000000000000..b17f40262b3125bfb20f313d5fa50fbd2ba3451a --- /dev/null +++ b/cub200/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" +}