[2025-04-18 18:57:49] Experiment directory created at ./results/sfm_based/
[2025-04-18 18:57:49] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 18:58:55] Failed to load JSON from file '/home/mbzuaiser/Documents/Komal/PolicyGen/OmniGen/toy_data/sfm_scene.jsonl' with error <class 'pyarrow.lib.ArrowInvalid'>: JSON parse error: The document is empty.
[2025-04-18 19:01:20] Experiment directory created at ./results/sfm_based/
[2025-04-18 19:01:21] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 19:02:18] Failed to load JSON from file '/home/mbzuaiser/Documents/Komal/PolicyGen/OmniGen/toy_data/sfm_scene.jsonl' with error <class 'pyarrow.lib.ArrowInvalid'>: JSON parse error: The document is empty.
[2025-04-18 19:04:38] Experiment directory created at ./results/sfm_based/
[2025-04-18 19:04:39] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 19:05:44] Dataset contains 344
[2025-04-18 19:05:44] Training for 400 epochs...
[2025-04-18 19:05:44] Beginning epoch 0...
[2025-04-18 19:07:05] Experiment directory created at ./results/sfm_based/
[2025-04-18 19:07:06] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 19:08:57] Experiment directory created at ./results/sfm_based/
[2025-04-18 19:08:58] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 19:09:47] Dataset contains 344
[2025-04-18 19:09:47] Training for 400 epochs...
[2025-04-18 19:09:47] Beginning epoch 0...
[2025-04-18 19:12:00] Experiment directory created at ./results/sfm_based/
[2025-04-18 19:12:00] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 19:12:00] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 19:13:05] Dataset contains 344
[2025-04-18 19:13:05] Training for 400 epochs...
[2025-04-18 19:13:05] Beginning epoch 0...
[2025-04-18 19:14:26] (step=0000001) Train Loss: 0.6123, Train Steps/Sec: 0.01, Epoch: 0.047619047619047616, LR: 0.001
[2025-04-18 19:15:33] (step=0000002) Train Loss: 0.5990, Train Steps/Sec: 0.01, Epoch: 0.09523809523809523, LR: 0.001
[2025-04-18 19:16:41] (step=0000003) Train Loss: 0.6114, Train Steps/Sec: 0.01, Epoch: 0.14285714285714285, LR: 0.001
[2025-04-18 19:17:48] (step=0000004) Train Loss: 0.7377, Train Steps/Sec: 0.01, Epoch: 0.19047619047619047, LR: 0.001
[2025-04-18 19:18:56] (step=0000005) Train Loss: 0.6299, Train Steps/Sec: 0.01, Epoch: 0.23809523809523808, LR: 0.001
[2025-04-18 19:20:03] (step=0000006) Train Loss: 0.6038, Train Steps/Sec: 0.01, Epoch: 0.2857142857142857, LR: 0.001
[2025-04-18 19:21:11] (step=0000007) Train Loss: 0.6975, Train Steps/Sec: 0.01, Epoch: 0.3333333333333333, LR: 0.001
[2025-04-18 19:22:18] (step=0000008) Train Loss: 0.6787, Train Steps/Sec: 0.01, Epoch: 0.38095238095238093, LR: 0.001
[2025-04-18 19:23:25] (step=0000009) Train Loss: 0.6320, Train Steps/Sec: 0.01, Epoch: 0.42857142857142855, LR: 0.001
[2025-04-18 19:24:33] (step=0000010) Train Loss: 0.6029, Train Steps/Sec: 0.01, Epoch: 0.47619047619047616, LR: 0.001
[2025-04-18 19:25:40] (step=0000011) Train Loss: 0.6403, Train Steps/Sec: 0.01, Epoch: 0.5238095238095238, LR: 0.001
[2025-04-18 19:26:47] (step=0000012) Train Loss: 0.5985, Train Steps/Sec: 0.01, Epoch: 0.5714285714285714, LR: 0.001
[2025-04-18 19:27:55] (step=0000013) Train Loss: 0.5505, Train Steps/Sec: 0.01, Epoch: 0.6190476190476191, LR: 0.001
[2025-04-18 19:29:02] (step=0000014) Train Loss: 0.6077, Train Steps/Sec: 0.01, Epoch: 0.6666666666666666, LR: 0.001
[2025-04-18 19:30:09] (step=0000015) Train Loss: 0.6558, Train Steps/Sec: 0.01, Epoch: 0.7142857142857143, LR: 0.001
[2025-04-18 19:31:17] (step=0000016) Train Loss: 0.5515, Train Steps/Sec: 0.01, Epoch: 0.7619047619047619, LR: 0.001
[2025-04-18 19:32:24] (step=0000017) Train Loss: 0.6493, Train Steps/Sec: 0.01, Epoch: 0.8095238095238095, LR: 0.001
[2025-04-18 19:33:32] (step=0000018) Train Loss: 0.6547, Train Steps/Sec: 0.01, Epoch: 0.8571428571428571, LR: 0.001
[2025-04-18 19:34:39] (step=0000019) Train Loss: 0.5754, Train Steps/Sec: 0.01, Epoch: 0.9047619047619048, LR: 0.001
[2025-04-18 19:35:47] (step=0000020) Train Loss: 0.6662, Train Steps/Sec: 0.01, Epoch: 0.9523809523809523, LR: 0.001
[2025-04-18 19:36:54] (step=0000021) Train Loss: 0.6150, Train Steps/Sec: 0.01, Epoch: 1.0, LR: 0.001
[2025-04-18 19:36:54] Beginning epoch 1...
[2025-04-18 19:38:12] (step=0000022) Train Loss: 0.5816, Train Steps/Sec: 0.01, Epoch: 1.0476190476190477, LR: 0.001
[2025-04-18 19:39:19] (step=0000023) Train Loss: 0.6416, Train Steps/Sec: 0.01, Epoch: 1.0952380952380953, LR: 0.001
[2025-04-18 19:40:27] (step=0000024) Train Loss: 0.6000, Train Steps/Sec: 0.01, Epoch: 1.1428571428571428, LR: 0.001
[2025-04-18 19:41:34] (step=0000025) Train Loss: 0.5966, Train Steps/Sec: 0.01, Epoch: 1.1904761904761905, LR: 0.001
[2025-04-18 19:42:42] (step=0000026) Train Loss: 0.6297, Train Steps/Sec: 0.01, Epoch: 1.2380952380952381, LR: 0.001
[2025-04-18 19:43:49] (step=0000027) Train Loss: 0.6306, Train Steps/Sec: 0.01, Epoch: 1.2857142857142858, LR: 0.001
[2025-04-18 19:44:57] (step=0000028) Train Loss: 0.5635, Train Steps/Sec: 0.01, Epoch: 1.3333333333333333, LR: 0.001
[2025-04-18 19:46:04] (step=0000029) Train Loss: 0.6107, Train Steps/Sec: 0.01, Epoch: 1.380952380952381, LR: 0.001
[2025-04-18 19:47:12] (step=0000030) Train Loss: 0.5926, Train Steps/Sec: 0.01, Epoch: 1.4285714285714286, LR: 0.001
[2025-04-18 19:48:19] (step=0000031) Train Loss: 0.5677, Train Steps/Sec: 0.01, Epoch: 1.4761904761904763, LR: 0.001
[2025-04-18 19:49:27] (step=0000032) Train Loss: 0.5963, Train Steps/Sec: 0.01, Epoch: 1.5238095238095237, LR: 0.001
[2025-04-18 19:50:34] (step=0000033) Train Loss: 0.6137, Train Steps/Sec: 0.01, Epoch: 1.5714285714285714, LR: 0.001
[2025-04-18 19:51:41] (step=0000034) Train Loss: 0.6055, Train Steps/Sec: 0.01, Epoch: 1.619047619047619, LR: 0.001
[2025-04-18 19:52:48] (step=0000035) Train Loss: 0.6230, Train Steps/Sec: 0.01, Epoch: 1.6666666666666667, LR: 0.001
[2025-04-18 19:53:56] (step=0000036) Train Loss: 0.5812, Train Steps/Sec: 0.01, Epoch: 1.7142857142857142, LR: 0.001
[2025-04-18 19:55:03] (step=0000037) Train Loss: 0.6841, Train Steps/Sec: 0.01, Epoch: 1.7619047619047619, LR: 0.001
[2025-04-18 19:56:11] (step=0000038) Train Loss: 0.6306, Train Steps/Sec: 0.01, Epoch: 1.8095238095238095, LR: 0.001
[2025-04-18 19:57:18] (step=0000039) Train Loss: 0.6021, Train Steps/Sec: 0.01, Epoch: 1.8571428571428572, LR: 0.001
[2025-04-18 19:58:25] (step=0000040) Train Loss: 0.5878, Train Steps/Sec: 0.01, Epoch: 1.9047619047619047, LR: 0.001
[2025-04-18 19:59:32] (step=0000041) Train Loss: 0.6350, Train Steps/Sec: 0.01, Epoch: 1.9523809523809523, LR: 0.001
[2025-04-18 20:00:40] (step=0000042) Train Loss: 0.5736, Train Steps/Sec: 0.01, Epoch: 2.0, LR: 0.001
[2025-04-18 20:00:40] Beginning epoch 2...
[2025-04-18 20:01:57] (step=0000043) Train Loss: 0.6771, Train Steps/Sec: 0.01, Epoch: 2.0476190476190474, LR: 0.001
[2025-04-18 20:03:05] (step=0000044) Train Loss: 0.5884, Train Steps/Sec: 0.01, Epoch: 2.0952380952380953, LR: 0.001
[2025-04-18 20:04:12] (step=0000045) Train Loss: 0.6056, Train Steps/Sec: 0.01, Epoch: 2.142857142857143, LR: 0.001
[2025-04-18 20:05:20] (step=0000046) Train Loss: 0.6049, Train Steps/Sec: 0.01, Epoch: 2.1904761904761907, LR: 0.001
[2025-04-18 20:06:28] (step=0000047) Train Loss: 0.5588, Train Steps/Sec: 0.01, Epoch: 2.238095238095238, LR: 0.001
[2025-04-18 20:07:35] (step=0000048) Train Loss: 0.6161, Train Steps/Sec: 0.01, Epoch: 2.2857142857142856, LR: 0.001
[2025-04-18 20:08:42] (step=0000049) Train Loss: 0.6309, Train Steps/Sec: 0.01, Epoch: 2.3333333333333335, LR: 0.001
[2025-04-18 20:09:49] (step=0000050) Train Loss: 0.6086, Train Steps/Sec: 0.01, Epoch: 2.380952380952381, LR: 0.001
[2025-04-18 20:10:57] (step=0000051) Train Loss: 0.5971, Train Steps/Sec: 0.01, Epoch: 2.4285714285714284, LR: 0.001
[2025-04-18 20:12:04] (step=0000052) Train Loss: 0.6040, Train Steps/Sec: 0.01, Epoch: 2.4761904761904763, LR: 0.001
[2025-04-18 20:13:12] (step=0000053) Train Loss: 0.6607, Train Steps/Sec: 0.01, Epoch: 2.5238095238095237, LR: 0.001
[2025-04-18 20:14:19] (step=0000054) Train Loss: 0.5553, Train Steps/Sec: 0.01, Epoch: 2.5714285714285716, LR: 0.001
[2025-04-18 20:15:27] (step=0000055) Train Loss: 0.6195, Train Steps/Sec: 0.01, Epoch: 2.619047619047619, LR: 0.001
[2025-04-18 20:16:34] (step=0000056) Train Loss: 0.6265, Train Steps/Sec: 0.01, Epoch: 2.6666666666666665, LR: 0.001
[2025-04-18 20:17:41] (step=0000057) Train Loss: 0.6463, Train Steps/Sec: 0.01, Epoch: 2.7142857142857144, LR: 0.001
[2025-04-18 20:20:16] Experiment directory created at ./results/sfm_based/
[2025-04-18 20:20:16] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 20:20:17] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 20:21:13] Dataset contains 344
[2025-04-18 20:21:15] Training for 400 epochs...
[2025-04-18 20:21:15] Beginning epoch 0...
[2025-04-18 20:24:46] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 20:24:46] Experiment directory created at ./results/sfm_based/
[2025-04-18 20:24:46] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 20:26:17] Dataset contains 344
[2025-04-18 20:27:58] Experiment directory created at ./results/sfm_based/
[2025-04-18 20:27:59] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 20:28:56] Dataset contains 344
[2025-04-18 20:28:56] Training for 400 epochs...
[2025-04-18 20:28:56] Beginning epoch 0...
[2025-04-18 20:30:32] (step=0000001) Train Loss: 0.5898, Train Steps/Sec: 0.01, Epoch: 0.005813953488372093, LR: 0.001
[2025-04-18 20:31:30] (step=0000002) Train Loss: 0.8799, Train Steps/Sec: 0.02, Epoch: 0.011627906976744186, LR: 0.001
[2025-04-18 20:32:30] (step=0000003) Train Loss: 0.7673, Train Steps/Sec: 0.02, Epoch: 0.01744186046511628, LR: 0.001
[2025-04-18 20:33:25] Experiment directory created at ./results/sfm_based/
[2025-04-18 20:33:26] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 20:34:30] Dataset contains 344
[2025-04-18 20:34:30] Training for 400 epochs...
[2025-04-18 20:34:30] Beginning epoch 0...
[2025-04-18 20:35:16] (step=0000001) Train Loss: 0.5305, Train Steps/Sec: 0.02, Epoch: 0.0029069767441860465, LR: 0.001
[2025-04-18 20:35:46] (step=0000002) Train Loss: 1.0161, Train Steps/Sec: 0.03, Epoch: 0.005813953488372093, LR: 0.001
[2025-04-18 20:36:15] (step=0000003) Train Loss: 0.6468, Train Steps/Sec: 0.03, Epoch: 0.00872093023255814, LR: 0.001
[2025-04-18 20:36:26] (step=0000004) Train Loss: 1.2037, Train Steps/Sec: 0.09, Epoch: 0.011627906976744186, LR: 0.001
[2025-04-18 20:36:36] (step=0000005) Train Loss: 1.4714, Train Steps/Sec: 0.10, Epoch: 0.014534883720930232, LR: 0.001
[2025-04-18 20:37:06] (step=0000006) Train Loss: 3.0858, Train Steps/Sec: 0.03, Epoch: 0.01744186046511628, LR: 0.001
[2025-04-18 20:37:35] (step=0000007) Train Loss: 1.3472, Train Steps/Sec: 0.03, Epoch: 0.020348837209302327, LR: 0.001
[2025-04-18 20:38:05] (step=0000008) Train Loss: 1.4019, Train Steps/Sec: 0.03, Epoch: 0.023255813953488372, LR: 0.001
[2025-04-18 20:38:35] (step=0000009) Train Loss: 1.1259, Train Steps/Sec: 0.03, Epoch: 0.02616279069767442, LR: 0.001
[2025-04-18 20:39:05] (step=0000010) Train Loss: 1.3140, Train Steps/Sec: 0.03, Epoch: 0.029069767441860465, LR: 0.001
[2025-04-18 20:39:35] (step=0000011) Train Loss: 0.9689, Train Steps/Sec: 0.03, Epoch: 0.03197674418604651, LR: 0.001
[2025-04-18 20:40:04] (step=0000012) Train Loss: 0.6643, Train Steps/Sec: 0.03, Epoch: 0.03488372093023256, LR: 0.001
[2025-04-18 20:40:34] (step=0000013) Train Loss: 1.0716, Train Steps/Sec: 0.03, Epoch: 0.0377906976744186, LR: 0.001
[2025-04-18 20:41:03] (step=0000014) Train Loss: 0.5382, Train Steps/Sec: 0.03, Epoch: 0.040697674418604654, LR: 0.001
[2025-04-18 20:41:33] (step=0000015) Train Loss: 1.1862, Train Steps/Sec: 0.03, Epoch: 0.0436046511627907, LR: 0.001
[2025-04-18 20:42:03] (step=0000016) Train Loss: 1.0110, Train Steps/Sec: 0.03, Epoch: 0.046511627906976744, LR: 0.001
[2025-04-18 20:42:32] (step=0000017) Train Loss: 0.6809, Train Steps/Sec: 0.03, Epoch: 0.04941860465116279, LR: 0.001
[2025-04-18 20:43:02] (step=0000018) Train Loss: 1.1363, Train Steps/Sec: 0.03, Epoch: 0.05232558139534884, LR: 0.001
[2025-04-18 20:43:32] (step=0000019) Train Loss: 0.9313, Train Steps/Sec: 0.03, Epoch: 0.055232558139534885, LR: 0.001
[2025-04-18 20:44:01] (step=0000020) Train Loss: 0.9806, Train Steps/Sec: 0.03, Epoch: 0.05813953488372093, LR: 0.001
[2025-04-18 20:44:31] (step=0000021) Train Loss: 0.5977, Train Steps/Sec: 0.03, Epoch: 0.061046511627906974, LR: 0.001
[2025-04-18 20:45:00] (step=0000022) Train Loss: 3.1153, Train Steps/Sec: 0.03, Epoch: 0.06395348837209303, LR: 0.001
[2025-04-18 20:45:30] (step=0000023) Train Loss: 1.5351, Train Steps/Sec: 0.03, Epoch: 0.06686046511627906, LR: 0.001
[2025-04-18 20:45:59] (step=0000024) Train Loss: 1.1313, Train Steps/Sec: 0.03, Epoch: 0.06976744186046512, LR: 0.001
[2025-04-18 20:46:29] (step=0000025) Train Loss: 0.7412, Train Steps/Sec: 0.03, Epoch: 0.07267441860465117, LR: 0.001
[2025-04-18 20:46:59] (step=0000026) Train Loss: 0.8542, Train Steps/Sec: 0.03, Epoch: 0.0755813953488372, LR: 0.001
[2025-04-18 20:47:28] (step=0000027) Train Loss: 0.7643, Train Steps/Sec: 0.03, Epoch: 0.07848837209302326, LR: 0.001
[2025-04-18 20:47:58] (step=0000028) Train Loss: 0.9131, Train Steps/Sec: 0.03, Epoch: 0.08139534883720931, LR: 0.001
[2025-04-18 20:48:28] (step=0000029) Train Loss: 0.6934, Train Steps/Sec: 0.03, Epoch: 0.08430232558139535, LR: 0.001
[2025-04-18 20:48:41] Experiment directory created at ./results/sfm_based/
[2025-04-18 20:48:41] Downloaded model to /nvme-data/Komal/huggingface/hub/models--Shitao--OmniGen-v1/snapshots/58e249c7c7634423c0ba41c34a774af79aa87889
[2025-04-18 20:48:57] (step=0000030) Train Loss: 1.0763, Train Steps/Sec: 0.03, Epoch: 0.0872093023255814, LR: 0.001
[2025-04-18 20:49:27] (step=0000031) Train Loss: 0.8911, Train Steps/Sec: 0.03, Epoch: 0.09011627906976744, LR: 0.001
[2025-04-18 20:49:47] Dataset contains 344
[2025-04-18 20:49:47] Training for 400 epochs...
[2025-04-18 20:49:47] Beginning epoch 0...
[2025-04-18 20:49:57] (step=0000032) Train Loss: 0.9761, Train Steps/Sec: 0.03, Epoch: 0.09302325581395349, LR: 0.001
[2025-04-18 20:50:27] (step=0000033) Train Loss: 0.9550, Train Steps/Sec: 0.03, Epoch: 0.09593023255813954, LR: 0.001
[2025-04-18 20:50:53] (step=0000001) Train Loss: 0.4926, Train Steps/Sec: 0.02, Epoch: 0.0029069767441860465, LR: 0.001
[2025-04-18 20:50:56] (step=0000034) Train Loss: 0.6641, Train Steps/Sec: 0.03, Epoch: 0.09883720930232558, LR: 0.001
[2025-04-18 20:51:26] (step=0000035) Train Loss: 0.9330, Train Steps/Sec: 0.03, Epoch: 0.10174418604651163, LR: 0.001
[2025-04-18 20:51:41] (step=0000002) Train Loss: 0.5918, Train Steps/Sec: 0.02, Epoch: 0.005813953488372093, LR: 0.001
[2025-04-18 20:51:56] (step=0000036) Train Loss: 0.8604, Train Steps/Sec: 0.03, Epoch: 0.10465116279069768, LR: 0.001
[2025-04-18 20:52:25] (step=0000037) Train Loss: 0.6367, Train Steps/Sec: 0.03, Epoch: 0.10755813953488372, LR: 0.001
[2025-04-18 20:52:30] (step=0000003) Train Loss: 0.4050, Train Steps/Sec: 0.02, Epoch: 0.00872093023255814, LR: 0.001
[2025-04-18 20:52:55] (step=0000038) Train Loss: 0.6244, Train Steps/Sec: 0.03, Epoch: 0.11046511627906977, LR: 0.001
[2025-04-18 20:53:19] (step=0000004) Train Loss: 0.8294, Train Steps/Sec: 0.02, Epoch: 0.011627906976744186, LR: 0.001
[2025-04-18 20:53:25] (step=0000039) Train Loss: 1.1245, Train Steps/Sec: 0.03, Epoch: 0.11337209302325581, LR: 0.001
[2025-04-18 20:53:54] (step=0000040) Train Loss: 1.0002, Train Steps/Sec: 0.03, Epoch: 0.11627906976744186, LR: 0.001
[2025-04-18 20:54:07] (step=0000005) Train Loss: 0.4955, Train Steps/Sec: 0.02, Epoch: 0.014534883720930232, LR: 0.001
[2025-04-18 20:54:24] (step=0000041) Train Loss: 0.6992, Train Steps/Sec: 0.03, Epoch: 0.11918604651162791, LR: 0.001
[2025-04-18 20:54:54] (step=0000042) Train Loss: 0.5724, Train Steps/Sec: 0.03, Epoch: 0.12209302325581395, LR: 0.001
[2025-04-18 20:54:55] (step=0000006) Train Loss: 0.5607, Train Steps/Sec: 0.02, Epoch: 0.01744186046511628, LR: 0.001
[2025-04-18 20:55:24] (step=0000043) Train Loss: 0.6273, Train Steps/Sec: 0.03, Epoch: 0.125, LR: 0.001
[2025-04-18 20:55:44] (step=0000007) Train Loss: 0.8625, Train Steps/Sec: 0.02, Epoch: 0.020348837209302327, LR: 0.001
[2025-04-18 20:55:53] (step=0000044) Train Loss: 1.3256, Train Steps/Sec: 0.03, Epoch: 0.12790697674418605, LR: 0.001
[2025-04-18 20:56:23] (step=0000045) Train Loss: 0.8242, Train Steps/Sec: 0.03, Epoch: 0.1308139534883721, LR: 0.001
[2025-04-18 20:56:32] (step=0000008) Train Loss: 0.3744, Train Steps/Sec: 0.02, Epoch: 0.023255813953488372, LR: 0.001
[2025-04-18 20:56:53] (step=0000046) Train Loss: 0.6929, Train Steps/Sec: 0.03, Epoch: 0.13372093023255813, LR: 0.001
[2025-04-18 20:57:21] (step=0000009) Train Loss: 0.4072, Train Steps/Sec: 0.02, Epoch: 0.02616279069767442, LR: 0.001
[2025-04-18 20:57:22] (step=0000047) Train Loss: 0.8750, Train Steps/Sec: 0.03, Epoch: 0.13662790697674418, LR: 0.001
[2025-04-18 20:57:52] (step=0000048) Train Loss: 0.7947, Train Steps/Sec: 0.03, Epoch: 0.13953488372093023, LR: 0.001
[2025-04-18 20:58:09] (step=0000010) Train Loss: 0.7941, Train Steps/Sec: 0.02, Epoch: 0.029069767441860465, LR: 0.001
[2025-04-18 20:58:22] (step=0000049) Train Loss: 0.8088, Train Steps/Sec: 0.03, Epoch: 0.14244186046511628, LR: 0.001
[2025-04-18 20:58:51] (step=0000050) Train Loss: 0.8169, Train Steps/Sec: 0.03, Epoch: 0.14534883720930233, LR: 0.001
[2025-04-18 20:58:58] (step=0000011) Train Loss: 0.6010, Train Steps/Sec: 0.02, Epoch: 0.03197674418604651, LR: 0.001
[2025-04-18 20:59:21] (step=0000051) Train Loss: 1.0451, Train Steps/Sec: 0.03, Epoch: 0.14825581395348839, LR: 0.001
[2025-04-18 20:59:46] (step=0000012) Train Loss: 0.3674, Train Steps/Sec: 0.02, Epoch: 0.03488372093023256, LR: 0.001
[2025-04-18 20:59:50] (step=0000052) Train Loss: 0.7679, Train Steps/Sec: 0.03, Epoch: 0.1511627906976744, LR: 0.001
[2025-04-18 21:00:20] (step=0000053) Train Loss: 0.9704, Train Steps/Sec: 0.03, Epoch: 0.15406976744186046, LR: 0.001
[2025-04-18 21:00:35] (step=0000013) Train Loss: 0.3837, Train Steps/Sec: 0.02, Epoch: 0.0377906976744186, LR: 0.001
[2025-04-18 21:00:50] (step=0000054) Train Loss: 0.7262, Train Steps/Sec: 0.03, Epoch: 0.1569767441860465, LR: 0.001
[2025-04-18 21:01:20] (step=0000055) Train Loss: 0.6090, Train Steps/Sec: 0.03, Epoch: 0.15988372093023256, LR: 0.001
[2025-04-18 21:01:23] (step=0000014) Train Loss: 0.5701, Train Steps/Sec: 0.02, Epoch: 0.040697674418604654, LR: 0.001
[2025-04-18 21:01:49] (step=0000056) Train Loss: 0.6398, Train Steps/Sec: 0.03, Epoch: 0.16279069767441862, LR: 0.001
[2025-04-18 21:02:11] (step=0000015) Train Loss: 0.8277, Train Steps/Sec: 0.02, Epoch: 0.0436046511627907, LR: 0.001
[2025-04-18 21:02:19] (step=0000057) Train Loss: 0.9180, Train Steps/Sec: 0.03, Epoch: 0.16569767441860464, LR: 0.001
[2025-04-18 21:02:49] (step=0000058) Train Loss: 0.5708, Train Steps/Sec: 0.03, Epoch: 0.1686046511627907, LR: 0.001
[2025-04-18 21:03:00] (step=0000016) Train Loss: 0.7276, Train Steps/Sec: 0.02, Epoch: 0.046511627906976744, LR: 0.001
[2025-04-18 21:03:18] (step=0000059) Train Loss: 0.8882, Train Steps/Sec: 0.03, Epoch: 0.17151162790697674, LR: 0.001
[2025-04-18 21:03:48] (step=0000060) Train Loss: 0.7020, Train Steps/Sec: 0.03, Epoch: 0.1744186046511628, LR: 0.001
[2025-04-18 21:03:48] (step=0000017) Train Loss: 0.7717, Train Steps/Sec: 0.02, Epoch: 0.04941860465116279, LR: 0.001
[2025-04-18 21:04:17] (step=0000061) Train Loss: 0.9043, Train Steps/Sec: 0.03, Epoch: 0.17732558139534885, LR: 0.001
[2025-04-18 21:04:37] (step=0000018) Train Loss: 0.5649, Train Steps/Sec: 0.02, Epoch: 0.05232558139534884, LR: 0.001
[2025-04-18 21:04:47] (step=0000062) Train Loss: 0.5268, Train Steps/Sec: 0.03, Epoch: 0.18023255813953487, LR: 0.001
[2025-04-18 21:05:16] (step=0000063) Train Loss: 0.7902, Train Steps/Sec: 0.03, Epoch: 0.18313953488372092, LR: 0.001
[2025-04-18 21:05:25] (step=0000019) Train Loss: 0.5928, Train Steps/Sec: 0.02, Epoch: 0.055232558139534885, LR: 0.001
[2025-04-18 21:05:46] (step=0000064) Train Loss: 0.4949, Train Steps/Sec: 0.03, Epoch: 0.18604651162790697, LR: 0.001
[2025-04-18 21:06:13] (step=0000020) Train Loss: 0.7303, Train Steps/Sec: 0.02, Epoch: 0.05813953488372093, LR: 0.001
[2025-04-18 21:06:16] (step=0000065) Train Loss: 0.7036, Train Steps/Sec: 0.03, Epoch: 0.18895348837209303, LR: 0.001
[2025-04-18 21:06:45] (step=0000066) Train Loss: 0.8024, Train Steps/Sec: 0.03, Epoch: 0.19186046511627908, LR: 0.001
[2025-04-18 21:07:01] (step=0000021) Train Loss: 0.6925, Train Steps/Sec: 0.02, Epoch: 0.061046511627906974, LR: 0.001
[2025-04-18 21:07:15] (step=0000067) Train Loss: 0.9255, Train Steps/Sec: 0.03, Epoch: 0.19476744186046513, LR: 0.001
[2025-04-18 21:07:44] (step=0000068) Train Loss: 0.7372, Train Steps/Sec: 0.03, Epoch: 0.19767441860465115, LR: 0.001
[2025-04-18 21:07:50] (step=0000022) Train Loss: 0.8812, Train Steps/Sec: 0.02, Epoch: 0.06395348837209303, LR: 0.001
[2025-04-18 21:08:14] (step=0000069) Train Loss: 0.8715, Train Steps/Sec: 0.03, Epoch: 0.2005813953488372, LR: 0.001
[2025-04-18 21:08:38] (step=0000023) Train Loss: 0.6135, Train Steps/Sec: 0.02, Epoch: 0.06686046511627906, LR: 0.001
[2025-04-18 21:08:44] (step=0000070) Train Loss: 0.9397, Train Steps/Sec: 0.03, Epoch: 0.20348837209302326, LR: 0.001
[2025-04-18 21:09:13] (step=0000071) Train Loss: 0.9498, Train Steps/Sec: 0.03, Epoch: 0.2063953488372093, LR: 0.001
[2025-04-18 21:09:26] (step=0000024) Train Loss: 0.7050, Train Steps/Sec: 0.02, Epoch: 0.06976744186046512, LR: 0.001
[2025-04-18 21:09:43] (step=0000072) Train Loss: 0.8701, Train Steps/Sec: 0.03, Epoch: 0.20930232558139536, LR: 0.001
[2025-04-18 21:10:13] (step=0000073) Train Loss: 0.7145, Train Steps/Sec: 0.03, Epoch: 0.21220930232558138, LR: 0.001
[2025-04-18 21:10:15] (step=0000025) Train Loss: 0.7546, Train Steps/Sec: 0.02, Epoch: 0.07267441860465117, LR: 0.001
[2025-04-18 21:10:43] (step=0000074) Train Loss: 0.9534, Train Steps/Sec: 0.03, Epoch: 0.21511627906976744, LR: 0.001
[2025-04-18 21:11:03] (step=0000026) Train Loss: 0.8421, Train Steps/Sec: 0.02, Epoch: 0.0755813953488372, LR: 0.001
[2025-04-18 21:11:12] (step=0000075) Train Loss: 0.5282, Train Steps/Sec: 0.03, Epoch: 0.2180232558139535, LR: 0.001
[2025-04-18 21:11:42] (step=0000076) Train Loss: 0.7335, Train Steps/Sec: 0.03, Epoch: 0.22093023255813954, LR: 0.001
[2025-04-18 21:11:52] (step=0000027) Train Loss: 0.8457, Train Steps/Sec: 0.02, Epoch: 0.07848837209302326, LR: 0.001
[2025-04-18 21:12:11] (step=0000077) Train Loss: 0.9663, Train Steps/Sec: 0.03, Epoch: 0.2238372093023256, LR: 0.001
[2025-04-18 21:12:40] (step=0000028) Train Loss: 0.6758, Train Steps/Sec: 0.02, Epoch: 0.08139534883720931, LR: 0.001
[2025-04-18 21:12:41] (step=0000078) Train Loss: 0.8287, Train Steps/Sec: 0.03, Epoch: 0.22674418604651161, LR: 0.001
[2025-04-18 21:13:11] (step=0000079) Train Loss: 0.7707, Train Steps/Sec: 0.03, Epoch: 0.22965116279069767, LR: 0.001
[2025-04-18 21:13:28] (step=0000029) Train Loss: 0.6560, Train Steps/Sec: 0.02, Epoch: 0.08430232558139535, LR: 0.001
[2025-04-18 21:13:40] (step=0000080) Train Loss: 0.8530, Train Steps/Sec: 0.03, Epoch: 0.23255813953488372, LR: 0.001
[2025-04-18 21:14:10] (step=0000081) Train Loss: 0.8642, Train Steps/Sec: 0.03, Epoch: 0.23546511627906977, LR: 0.001
[2025-04-18 21:14:17] (step=0000030) Train Loss: 0.7574, Train Steps/Sec: 0.02, Epoch: 0.0872093023255814, LR: 0.001
[2025-04-18 21:14:40] (step=0000082) Train Loss: 1.0154, Train Steps/Sec: 0.03, Epoch: 0.23837209302325582, LR: 0.001
[2025-04-18 21:15:05] (step=0000031) Train Loss: 0.7895, Train Steps/Sec: 0.02, Epoch: 0.09011627906976744, LR: 0.001
[2025-04-18 21:15:10] (step=0000083) Train Loss: 0.8758, Train Steps/Sec: 0.03, Epoch: 0.24127906976744187, LR: 0.001
[2025-04-18 21:15:39] (step=0000084) Train Loss: 0.7167, Train Steps/Sec: 0.03, Epoch: 0.2441860465116279, LR: 0.001
[2025-04-18 21:15:53] (step=0000032) Train Loss: 0.3809, Train Steps/Sec: 0.02, Epoch: 0.09302325581395349, LR: 0.001
[2025-04-18 21:16:09] (step=0000085) Train Loss: 0.5315, Train Steps/Sec: 0.03, Epoch: 0.24709302325581395, LR: 0.001
[2025-04-18 21:16:39] (step=0000086) Train Loss: 0.9600, Train Steps/Sec: 0.03, Epoch: 0.25, LR: 0.001
[2025-04-18 21:16:42] (step=0000033) Train Loss: 0.4557, Train Steps/Sec: 0.02, Epoch: 0.09593023255813954, LR: 0.001
[2025-04-18 21:17:08] (step=0000087) Train Loss: 0.6286, Train Steps/Sec: 0.03, Epoch: 0.25290697674418605, LR: 0.001
[2025-04-18 21:17:30] (step=0000034) Train Loss: 0.6966, Train Steps/Sec: 0.02, Epoch: 0.09883720930232558, LR: 0.001
[2025-04-18 21:17:38] (step=0000088) Train Loss: 0.8753, Train Steps/Sec: 0.03, Epoch: 0.2558139534883721, LR: 0.001
[2025-04-18 21:18:07] (step=0000089) Train Loss: 0.7876, Train Steps/Sec: 0.03, Epoch: 0.25872093023255816, LR: 0.001
[2025-04-18 21:18:18] (step=0000035) Train Loss: 0.3673, Train Steps/Sec: 0.02, Epoch: 0.10174418604651163, LR: 0.001
[2025-04-18 21:18:37] (step=0000090) Train Loss: 0.5475, Train Steps/Sec: 0.03, Epoch: 0.2616279069767442, LR: 0.001
[2025-04-18 21:19:07] (step=0000036) Train Loss: 0.4484, Train Steps/Sec: 0.02, Epoch: 0.10465116279069768, LR: 0.001
[2025-04-18 21:19:07] (step=0000091) Train Loss: 1.2363, Train Steps/Sec: 0.03, Epoch: 0.26453488372093026, LR: 0.001
[2025-04-18 21:19:36] (step=0000092) Train Loss: 0.8144, Train Steps/Sec: 0.03, Epoch: 0.26744186046511625, LR: 0.001
[2025-04-18 21:19:55] (step=0000037) Train Loss: 0.4085, Train Steps/Sec: 0.02, Epoch: 0.10755813953488372, LR: 0.001
[2025-04-18 21:20:06] (step=0000093) Train Loss: 0.8828, Train Steps/Sec: 0.03, Epoch: 0.2703488372093023, LR: 0.001
[2025-04-18 21:20:36] (step=0000094) Train Loss: 0.9504, Train Steps/Sec: 0.03, Epoch: 0.27325581395348836, LR: 0.001
[2025-04-18 21:20:43] (step=0000038) Train Loss: 0.6130, Train Steps/Sec: 0.02, Epoch: 0.11046511627906977, LR: 0.001
[2025-04-18 21:21:05] (step=0000095) Train Loss: 0.7845, Train Steps/Sec: 0.03, Epoch: 0.2761627906976744, LR: 0.001
[2025-04-18 21:21:32] (step=0000039) Train Loss: 0.4970, Train Steps/Sec: 0.02, Epoch: 0.11337209302325581, LR: 0.001
[2025-04-18 21:21:35] (step=0000096) Train Loss: 0.6985, Train Steps/Sec: 0.03, Epoch: 0.27906976744186046, LR: 0.001
[2025-04-18 21:22:04] (step=0000097) Train Loss: 0.9889, Train Steps/Sec: 0.03, Epoch: 0.2819767441860465, LR: 0.001
[2025-04-18 21:22:20] (step=0000040) Train Loss: 0.5331, Train Steps/Sec: 0.02, Epoch: 0.11627906976744186, LR: 0.001
[2025-04-18 21:22:34] (step=0000098) Train Loss: 0.9128, Train Steps/Sec: 0.03, Epoch: 0.28488372093023256, LR: 0.001
[2025-04-18 21:23:04] (step=0000099) Train Loss: 0.8407, Train Steps/Sec: 0.03, Epoch: 0.2877906976744186, LR: 0.001
[2025-04-18 21:23:08] (step=0000041) Train Loss: 0.7398, Train Steps/Sec: 0.02, Epoch: 0.11918604651162791, LR: 0.001
[2025-04-18 21:23:34] (step=0000100) Train Loss: 0.6688, Train Steps/Sec: 0.03, Epoch: 0.29069767441860467, LR: 0.001
[2025-04-18 21:23:57] (step=0000042) Train Loss: 0.4214, Train Steps/Sec: 0.02, Epoch: 0.12209302325581395, LR: 0.001
[2025-04-18 21:24:03] (step=0000101) Train Loss: 0.9461, Train Steps/Sec: 0.03, Epoch: 0.2936046511627907, LR: 0.001
[2025-04-18 21:24:33] (step=0000102) Train Loss: 0.6797, Train Steps/Sec: 0.03, Epoch: 0.29651162790697677, LR: 0.001
[2025-04-18 21:24:45] (step=0000043) Train Loss: 0.4547, Train Steps/Sec: 0.02, Epoch: 0.125, LR: 0.001
[2025-04-18 21:25:03] (step=0000103) Train Loss: 0.7098, Train Steps/Sec: 0.03, Epoch: 0.29941860465116277, LR: 0.001
[2025-04-18 21:25:32] (step=0000104) Train Loss: 0.9413, Train Steps/Sec: 0.03, Epoch: 0.3023255813953488, LR: 0.001
[2025-04-18 21:25:34] (step=0000044) Train Loss: 0.8755, Train Steps/Sec: 0.02, Epoch: 0.12790697674418605, LR: 0.001
[2025-04-18 21:26:02] (step=0000105) Train Loss: 0.6853, Train Steps/Sec: 0.03, Epoch: 0.30523255813953487, LR: 0.001
[2025-04-18 21:26:22] (step=0000045) Train Loss: 0.8039, Train Steps/Sec: 0.02, Epoch: 0.1308139534883721, LR: 0.001
[2025-04-18 21:26:32] (step=0000106) Train Loss: 0.6015, Train Steps/Sec: 0.03, Epoch: 0.3081395348837209, LR: 0.001
[2025-04-18 21:27:01] (step=0000107) Train Loss: 0.9023, Train Steps/Sec: 0.03, Epoch: 0.311046511627907, LR: 0.001
[2025-04-18 21:27:10] (step=0000046) Train Loss: 0.5799, Train Steps/Sec: 0.02, Epoch: 0.13372093023255813, LR: 0.001
[2025-04-18 21:27:31] (step=0000108) Train Loss: 0.5019, Train Steps/Sec: 0.03, Epoch: 0.313953488372093, LR: 0.001
[2025-04-18 21:27:59] (step=0000047) Train Loss: 0.8066, Train Steps/Sec: 0.02, Epoch: 0.13662790697674418, LR: 0.001
[2025-04-18 21:28:01] (step=0000109) Train Loss: 0.6562, Train Steps/Sec: 0.03, Epoch: 0.3168604651162791, LR: 0.001
[2025-04-18 21:28:30] (step=0000110) Train Loss: 0.8831, Train Steps/Sec: 0.03, Epoch: 0.31976744186046513, LR: 0.001
[2025-04-18 21:28:47] (step=0000048) Train Loss: 0.6151, Train Steps/Sec: 0.02, Epoch: 0.13953488372093023, LR: 0.001
[2025-04-18 21:29:00] (step=0000111) Train Loss: 0.6833, Train Steps/Sec: 0.03, Epoch: 0.3226744186046512, LR: 0.001
[2025-04-18 21:29:30] (step=0000112) Train Loss: 0.8526, Train Steps/Sec: 0.03, Epoch: 0.32558139534883723, LR: 0.001
[2025-04-18 21:29:35] (step=0000049) Train Loss: 0.7897, Train Steps/Sec: 0.02, Epoch: 0.14244186046511628, LR: 0.001
[2025-04-18 21:29:59] (step=0000113) Train Loss: 0.8847, Train Steps/Sec: 0.03, Epoch: 0.32848837209302323, LR: 0.001
[2025-04-18 21:30:24] (step=0000050) Train Loss: 0.8410, Train Steps/Sec: 0.02, Epoch: 0.14534883720930233, LR: 0.001
[2025-04-18 21:30:29] (step=0000114) Train Loss: 0.4681, Train Steps/Sec: 0.03, Epoch: 0.3313953488372093, LR: 0.001
[2025-04-18 21:30:59] (step=0000115) Train Loss: 0.9568, Train Steps/Sec: 0.03, Epoch: 0.33430232558139533, LR: 0.001
[2025-04-18 21:31:08] (step=0000116) Train Loss: 0.6174, Train Steps/Sec: 0.10, Epoch: 0.3372093023255814, LR: 0.001
[2025-04-18 21:31:12] (step=0000051) Train Loss: 0.6796, Train Steps/Sec: 0.02, Epoch: 0.14825581395348839, LR: 0.001
[2025-04-18 21:31:38] (step=0000117) Train Loss: 0.8369, Train Steps/Sec: 0.03, Epoch: 0.34011627906976744, LR: 0.001
[2025-04-18 21:32:00] (step=0000052) Train Loss: 0.7577, Train Steps/Sec: 0.02, Epoch: 0.1511627906976744, LR: 0.001
[2025-04-18 21:32:07] (step=0000118) Train Loss: 0.8892, Train Steps/Sec: 0.03, Epoch: 0.3430232558139535, LR: 0.001
[2025-04-18 21:32:37] (step=0000119) Train Loss: 0.8445, Train Steps/Sec: 0.03, Epoch: 0.34593023255813954, LR: 0.001
[2025-04-18 21:32:49] (step=0000053) Train Loss: 0.5274, Train Steps/Sec: 0.02, Epoch: 0.15406976744186046, LR: 0.001
[2025-04-18 21:33:07] (step=0000120) Train Loss: 0.7402, Train Steps/Sec: 0.03, Epoch: 0.3488372093023256, LR: 0.001
[2025-04-18 21:33:37] (step=0000121) Train Loss: 0.6496, Train Steps/Sec: 0.03, Epoch: 0.35174418604651164, LR: 0.001
[2025-04-18 21:33:37] (step=0000054) Train Loss: 0.4955, Train Steps/Sec: 0.02, Epoch: 0.1569767441860465, LR: 0.001
[2025-04-18 21:34:06] (step=0000122) Train Loss: 0.8330, Train Steps/Sec: 0.03, Epoch: 0.3546511627906977, LR: 0.001
[2025-04-18 21:34:26] (step=0000055) Train Loss: 0.5667, Train Steps/Sec: 0.02, Epoch: 0.15988372093023256, LR: 0.001
[2025-04-18 21:34:36] (step=0000123) Train Loss: 0.6913, Train Steps/Sec: 0.03, Epoch: 0.35755813953488375, LR: 0.001
[2025-04-18 21:35:05] (step=0000124) Train Loss: 0.9309, Train Steps/Sec: 0.03, Epoch: 0.36046511627906974, LR: 0.001
[2025-04-18 21:35:14] (step=0000056) Train Loss: 0.6984, Train Steps/Sec: 0.02, Epoch: 0.16279069767441862, LR: 0.001
[2025-04-18 21:35:35] (step=0000125) Train Loss: 0.9402, Train Steps/Sec: 0.03, Epoch: 0.3633720930232558, LR: 0.001
[2025-04-18 21:36:03] (step=0000057) Train Loss: 0.6071, Train Steps/Sec: 0.02, Epoch: 0.16569767441860464, LR: 0.001
[2025-04-18 21:36:05] (step=0000126) Train Loss: 0.7623, Train Steps/Sec: 0.03, Epoch: 0.36627906976744184, LR: 0.001
[2025-04-18 21:36:34] (step=0000127) Train Loss: 0.7633, Train Steps/Sec: 0.03, Epoch: 0.3691860465116279, LR: 0.001
[2025-04-18 21:36:51] (step=0000058) Train Loss: 0.6647, Train Steps/Sec: 0.02, Epoch: 0.1686046511627907, LR: 0.001
[2025-04-18 21:37:03] (step=0000128) Train Loss: 0.4983, Train Steps/Sec: 0.03, Epoch: 0.37209302325581395, LR: 0.001
[2025-04-18 21:37:33] (step=0000129) Train Loss: 0.8881, Train Steps/Sec: 0.03, Epoch: 0.375, LR: 0.001
[2025-04-18 21:37:39] (step=0000059) Train Loss: 0.8396, Train Steps/Sec: 0.02, Epoch: 0.17151162790697674, LR: 0.001
[2025-04-18 21:38:03] (step=0000130) Train Loss: 0.5966, Train Steps/Sec: 0.03, Epoch: 0.37790697674418605, LR: 0.001
[2025-04-18 21:38:27] (step=0000060) Train Loss: 0.6647, Train Steps/Sec: 0.02, Epoch: 0.1744186046511628, LR: 0.001
[2025-04-18 21:38:33] (step=0000131) Train Loss: 0.8927, Train Steps/Sec: 0.03, Epoch: 0.3808139534883721, LR: 0.001
[2025-04-18 21:39:02] (step=0000132) Train Loss: 0.8304, Train Steps/Sec: 0.03, Epoch: 0.38372093023255816, LR: 0.001
[2025-04-18 21:39:16] (step=0000061) Train Loss: 0.5703, Train Steps/Sec: 0.02, Epoch: 0.17732558139534885, LR: 0.001
[2025-04-18 21:39:32] (step=0000133) Train Loss: 0.5527, Train Steps/Sec: 0.03, Epoch: 0.3866279069767442, LR: 0.001
[2025-04-18 21:40:01] (step=0000134) Train Loss: 0.7929, Train Steps/Sec: 0.03, Epoch: 0.38953488372093026, LR: 0.001
[2025-04-18 21:40:04] (step=0000062) Train Loss: 0.6013, Train Steps/Sec: 0.02, Epoch: 0.18023255813953487, LR: 0.001
[2025-04-18 21:40:31] (step=0000135) Train Loss: 0.5472, Train Steps/Sec: 0.03, Epoch: 0.39244186046511625, LR: 0.001
[2025-04-18 21:40:53] (step=0000063) Train Loss: 0.8415, Train Steps/Sec: 0.02, Epoch: 0.18313953488372092, LR: 0.001
[2025-04-18 21:41:01] (step=0000136) Train Loss: 0.5706, Train Steps/Sec: 0.03, Epoch: 0.3953488372093023, LR: 0.001
[2025-04-18 21:41:30] (step=0000137) Train Loss: 0.7120, Train Steps/Sec: 0.03, Epoch: 0.39825581395348836, LR: 0.001
[2025-04-18 21:41:41] (step=0000064) Train Loss: 0.6794, Train Steps/Sec: 0.02, Epoch: 0.18604651162790697, LR: 0.001
[2025-04-18 21:42:00] (step=0000138) Train Loss: 0.8576, Train Steps/Sec: 0.03, Epoch: 0.4011627906976744, LR: 0.001
[2025-04-18 21:42:29] (step=0000065) Train Loss: 0.6089, Train Steps/Sec: 0.02, Epoch: 0.18895348837209303, LR: 0.001
[2025-04-18 21:42:30] (step=0000139) Train Loss: 0.6713, Train Steps/Sec: 0.03, Epoch: 0.40406976744186046, LR: 0.001
[2025-04-18 21:42:59] (step=0000140) Train Loss: 0.6471, Train Steps/Sec: 0.03, Epoch: 0.4069767441860465, LR: 0.001
[2025-04-18 21:43:18] (step=0000066) Train Loss: 0.7256, Train Steps/Sec: 0.02, Epoch: 0.19186046511627908, LR: 0.001
[2025-04-18 21:43:29] (step=0000141) Train Loss: 0.8250, Train Steps/Sec: 0.03, Epoch: 0.40988372093023256, LR: 0.001
[2025-04-18 21:43:59] (step=0000142) Train Loss: 0.6618, Train Steps/Sec: 0.03, Epoch: 0.4127906976744186, LR: 0.001
[2025-04-18 21:44:06] (step=0000067) Train Loss: 0.0520, Train Steps/Sec: 0.02, Epoch: 0.19476744186046513, LR: 0.001
[2025-04-18 21:44:28] (step=0000143) Train Loss: 0.8327, Train Steps/Sec: 0.03, Epoch: 0.41569767441860467, LR: 0.001
[2025-04-18 21:44:54] (step=0000068) Train Loss: 0.6785, Train Steps/Sec: 0.02, Epoch: 0.19767441860465115, LR: 0.001
[2025-04-18 21:44:58] (step=0000144) Train Loss: 0.8867, Train Steps/Sec: 0.03, Epoch: 0.4186046511627907, LR: 0.001
[2025-04-18 21:45:07] (step=0000145) Train Loss: 0.7998, Train Steps/Sec: 0.10, Epoch: 0.42151162790697677, LR: 0.001
[2025-04-18 21:45:37] (step=0000146) Train Loss: 0.5551, Train Steps/Sec: 0.03, Epoch: 0.42441860465116277, LR: 0.001
[2025-04-18 21:45:42] (step=0000069) Train Loss: 0.6851, Train Steps/Sec: 0.02, Epoch: 0.2005813953488372, LR: 0.001
[2025-04-18 21:46:06] (step=0000147) Train Loss: 0.4527, Train Steps/Sec: 0.03, Epoch: 0.4273255813953488, LR: 0.001
[2025-04-18 21:46:30] (step=0000070) Train Loss: 0.5273, Train Steps/Sec: 0.02, Epoch: 0.20348837209302326, LR: 0.001
[2025-04-18 21:46:36] (step=0000148) Train Loss: 0.8468, Train Steps/Sec: 0.03, Epoch: 0.43023255813953487, LR: 0.001
[2025-04-18 21:47:06] (step=0000149) Train Loss: 0.8112, Train Steps/Sec: 0.03, Epoch: 0.4331395348837209, LR: 0.001
[2025-04-18 21:47:19] (step=0000071) Train Loss: 0.6722, Train Steps/Sec: 0.02, Epoch: 0.2063953488372093, LR: 0.001
[2025-04-18 21:47:35] (step=0000150) Train Loss: 0.7983, Train Steps/Sec: 0.03, Epoch: 0.436046511627907, LR: 0.001
[2025-04-18 21:48:05] (step=0000151) Train Loss: 0.6103, Train Steps/Sec: 0.03, Epoch: 0.438953488372093, LR: 0.001
[2025-04-18 21:48:07] (step=0000072) Train Loss: 0.8586, Train Steps/Sec: 0.02, Epoch: 0.20930232558139536, LR: 0.001
[2025-04-18 21:48:15] (step=0000152) Train Loss: 0.6830, Train Steps/Sec: 0.10, Epoch: 0.4418604651162791, LR: 0.001
[2025-04-18 21:48:44] (step=0000153) Train Loss: 0.6187, Train Steps/Sec: 0.03, Epoch: 0.44476744186046513, LR: 0.001
[2025-04-18 21:48:55] (step=0000073) Train Loss: 0.4010, Train Steps/Sec: 0.02, Epoch: 0.21220930232558138, LR: 0.001
[2025-04-18 21:49:14] (step=0000154) Train Loss: 0.7585, Train Steps/Sec: 0.03, Epoch: 0.4476744186046512, LR: 0.001
[2025-04-18 21:49:44] (step=0000074) Train Loss: 0.7373, Train Steps/Sec: 0.02, Epoch: 0.21511627906976744, LR: 0.001
[2025-04-18 21:49:44] (step=0000155) Train Loss: 0.5302, Train Steps/Sec: 0.03, Epoch: 0.45058139534883723, LR: 0.001
[2025-04-18 21:50:13] (step=0000156) Train Loss: 0.5949, Train Steps/Sec: 0.03, Epoch: 0.45348837209302323, LR: 0.001
[2025-04-18 21:50:32] (step=0000075) Train Loss: 0.5912, Train Steps/Sec: 0.02, Epoch: 0.2180232558139535, LR: 0.001
[2025-04-18 21:50:43] (step=0000157) Train Loss: 0.4673, Train Steps/Sec: 0.03, Epoch: 0.4563953488372093, LR: 0.001
[2025-04-18 21:51:12] (step=0000158) Train Loss: 0.6562, Train Steps/Sec: 0.03, Epoch: 0.45930232558139533, LR: 0.001
[2025-04-18 21:51:20] (step=0000076) Train Loss: 0.7797, Train Steps/Sec: 0.02, Epoch: 0.22093023255813954, LR: 0.001
[2025-04-18 21:51:42] (step=0000159) Train Loss: 0.5518, Train Steps/Sec: 0.03, Epoch: 0.4622093023255814, LR: 0.001
[2025-04-18 21:52:09] (step=0000077) Train Loss: 0.4846, Train Steps/Sec: 0.02, Epoch: 0.2238372093023256, LR: 0.001
[2025-04-18 21:52:12] (step=0000160) Train Loss: 0.7170, Train Steps/Sec: 0.03, Epoch: 0.46511627906976744, LR: 0.001
[2025-04-18 21:52:41] (step=0000161) Train Loss: 0.5635, Train Steps/Sec: 0.03, Epoch: 0.4680232558139535, LR: 0.001
[2025-04-18 21:52:57] (step=0000078) Train Loss: 0.5939, Train Steps/Sec: 0.02, Epoch: 0.22674418604651161, LR: 0.001
[2025-04-18 21:53:11] (step=0000162) Train Loss: 0.6667, Train Steps/Sec: 0.03, Epoch: 0.47093023255813954, LR: 0.001
[2025-04-18 21:53:41] (step=0000163) Train Loss: 0.6072, Train Steps/Sec: 0.03, Epoch: 0.4738372093023256, LR: 0.001
[2025-04-18 21:53:45] (step=0000079) Train Loss: 0.7475, Train Steps/Sec: 0.02, Epoch: 0.22965116279069767, LR: 0.001
[2025-04-18 21:54:10] (step=0000164) Train Loss: 0.8650, Train Steps/Sec: 0.03, Epoch: 0.47674418604651164, LR: 0.001
[2025-04-18 21:54:34] (step=0000080) Train Loss: 0.4116, Train Steps/Sec: 0.02, Epoch: 0.23255813953488372, LR: 0.001
[2025-04-18 21:54:40] (step=0000165) Train Loss: 0.8940, Train Steps/Sec: 0.03, Epoch: 0.4796511627906977, LR: 0.001
[2025-04-18 21:55:10] (step=0000166) Train Loss: 0.8174, Train Steps/Sec: 0.03, Epoch: 0.48255813953488375, LR: 0.001
[2025-04-18 21:55:22] (step=0000081) Train Loss: 0.5800, Train Steps/Sec: 0.02, Epoch: 0.23546511627906977, LR: 0.001
[2025-04-18 21:55:39] (step=0000167) Train Loss: 0.8218, Train Steps/Sec: 0.03, Epoch: 0.48546511627906974, LR: 0.001
[2025-04-18 21:56:09] (step=0000168) Train Loss: 0.4392, Train Steps/Sec: 0.03, Epoch: 0.4883720930232558, LR: 0.001
[2025-04-18 21:56:10] (step=0000082) Train Loss: 0.7274, Train Steps/Sec: 0.02, Epoch: 0.23837209302325582, LR: 0.001
[2025-04-18 21:56:39] (step=0000169) Train Loss: 0.6634, Train Steps/Sec: 0.03, Epoch: 0.49127906976744184, LR: 0.001
[2025-04-18 21:56:59] (step=0000083) Train Loss: 0.6669, Train Steps/Sec: 0.02, Epoch: 0.24127906976744187, LR: 0.001
[2025-04-18 21:57:08] (step=0000170) Train Loss: 0.8301, Train Steps/Sec: 0.03, Epoch: 0.4941860465116279, LR: 0.001
[2025-04-18 21:57:38] (step=0000171) Train Loss: 0.7066, Train Steps/Sec: 0.03, Epoch: 0.49709302325581395, LR: 0.001
[2025-04-18 21:57:47] (step=0000084) Train Loss: 0.6333, Train Steps/Sec: 0.02, Epoch: 0.2441860465116279, LR: 0.001
[2025-04-18 21:58:08] (step=0000172) Train Loss: 0.6536, Train Steps/Sec: 0.03, Epoch: 0.5, LR: 0.001
[2025-04-18 21:58:36] (step=0000085) Train Loss: 0.7634, Train Steps/Sec: 0.02, Epoch: 0.24709302325581395, LR: 0.001
[2025-04-18 21:58:37] (step=0000173) Train Loss: 0.3904, Train Steps/Sec: 0.03, Epoch: 0.502906976744186, LR: 0.001
[2025-04-18 21:59:07] (step=0000174) Train Loss: 0.9031, Train Steps/Sec: 0.03, Epoch: 0.5058139534883721, LR: 0.001
[2025-04-18 21:59:24] (step=0000086) Train Loss: 0.8717, Train Steps/Sec: 0.02, Epoch: 0.25, LR: 0.001
[2025-04-18 21:59:37] (step=0000175) Train Loss: 0.8107, Train Steps/Sec: 0.03, Epoch: 0.5087209302325582, LR: 0.001
[2025-04-18 22:00:06] (step=0000176) Train Loss: 0.9034, Train Steps/Sec: 0.03, Epoch: 0.5116279069767442, LR: 0.001
[2025-04-18 22:00:13] (step=0000087) Train Loss: 0.4272, Train Steps/Sec: 0.02, Epoch: 0.25290697674418605, LR: 0.001
[2025-04-18 22:00:36] (step=0000177) Train Loss: 0.7679, Train Steps/Sec: 0.03, Epoch: 0.5145348837209303, LR: 0.001
[2025-04-18 22:01:01] (step=0000088) Train Loss: 0.8155, Train Steps/Sec: 0.02, Epoch: 0.2558139534883721, LR: 0.001
[2025-04-18 22:01:05] (step=0000178) Train Loss: 0.5317, Train Steps/Sec: 0.03, Epoch: 0.5174418604651163, LR: 0.001
[2025-04-18 22:01:35] (step=0000179) Train Loss: 0.8464, Train Steps/Sec: 0.03, Epoch: 0.5203488372093024, LR: 0.001
[2025-04-18 22:01:50] (step=0000089) Train Loss: 0.6372, Train Steps/Sec: 0.02, Epoch: 0.25872093023255816, LR: 0.001
[2025-04-18 22:02:05] (step=0000180) Train Loss: 0.5298, Train Steps/Sec: 0.03, Epoch: 0.5232558139534884, LR: 0.001
[2025-04-18 22:02:34] (step=0000181) Train Loss: 0.9022, Train Steps/Sec: 0.03, Epoch: 0.5261627906976745, LR: 0.001
[2025-04-18 22:02:38] (step=0000090) Train Loss: 0.7527, Train Steps/Sec: 0.02, Epoch: 0.2616279069767442, LR: 0.001
[2025-04-18 22:03:04] (step=0000182) Train Loss: 0.8634, Train Steps/Sec: 0.03, Epoch: 0.5290697674418605, LR: 0.001
[2025-04-18 22:03:26] (step=0000091) Train Loss: 0.5204, Train Steps/Sec: 0.02, Epoch: 0.26453488372093026, LR: 0.001
[2025-04-18 22:03:34] (step=0000183) Train Loss: 0.8337, Train Steps/Sec: 0.03, Epoch: 0.5319767441860465, LR: 0.001
[2025-04-18 22:04:03] (step=0000184) Train Loss: 0.8305, Train Steps/Sec: 0.03, Epoch: 0.5348837209302325, LR: 0.001
[2025-04-18 22:04:14] (step=0000092) Train Loss: 0.5169, Train Steps/Sec: 0.02, Epoch: 0.26744186046511625, LR: 0.001
[2025-04-18 22:04:33] (step=0000185) Train Loss: 0.8211, Train Steps/Sec: 0.03, Epoch: 0.5377906976744186, LR: 0.001
[2025-04-18 22:05:03] (step=0000093) Train Loss: 0.8173, Train Steps/Sec: 0.02, Epoch: 0.2703488372093023, LR: 0.001
[2025-04-18 22:05:03] (step=0000186) Train Loss: 0.8155, Train Steps/Sec: 0.03, Epoch: 0.5406976744186046, LR: 0.001
[2025-04-18 22:05:32] (step=0000187) Train Loss: 0.5696, Train Steps/Sec: 0.03, Epoch: 0.5436046511627907, LR: 0.001
[2025-04-18 22:05:51] (step=0000094) Train Loss: 0.5533, Train Steps/Sec: 0.02, Epoch: 0.27325581395348836, LR: 0.001
[2025-04-18 22:06:02] (step=0000188) Train Loss: 0.7996, Train Steps/Sec: 0.03, Epoch: 0.5465116279069767, LR: 0.001
[2025-04-18 22:06:32] (step=0000189) Train Loss: 0.8311, Train Steps/Sec: 0.03, Epoch: 0.5494186046511628, LR: 0.001
[2025-04-18 22:06:39] (step=0000095) Train Loss: 0.4490, Train Steps/Sec: 0.02, Epoch: 0.2761627906976744, LR: 0.001
[2025-04-18 22:07:01] (step=0000190) Train Loss: 0.4855, Train Steps/Sec: 0.03, Epoch: 0.5523255813953488, LR: 0.001
[2025-04-18 22:07:27] (step=0000096) Train Loss: 0.7754, Train Steps/Sec: 0.02, Epoch: 0.27906976744186046, LR: 0.001
[2025-04-18 22:07:31] (step=0000191) Train Loss: 0.5455, Train Steps/Sec: 0.03, Epoch: 0.5552325581395349, LR: 0.001
[2025-04-18 22:08:01] (step=0000192) Train Loss: 0.8447, Train Steps/Sec: 0.03, Epoch: 0.5581395348837209, LR: 0.001
[2025-04-18 22:08:16] (step=0000097) Train Loss: 0.8403, Train Steps/Sec: 0.02, Epoch: 0.2819767441860465, LR: 0.001
[2025-04-18 22:08:31] (step=0000193) Train Loss: 0.8277, Train Steps/Sec: 0.03, Epoch: 0.561046511627907, LR: 0.001
[2025-04-18 22:09:00] (step=0000194) Train Loss: 0.6002, Train Steps/Sec: 0.03, Epoch: 0.563953488372093, LR: 0.001
[2025-04-18 22:09:04] (step=0000098) Train Loss: 0.6163, Train Steps/Sec: 0.02, Epoch: 0.28488372093023256, LR: 0.001
[2025-04-18 22:09:29] (step=0000195) Train Loss: 0.8662, Train Steps/Sec: 0.03, Epoch: 0.5668604651162791, LR: 0.001
[2025-04-18 22:09:52] (step=0000099) Train Loss: 0.4471, Train Steps/Sec: 0.02, Epoch: 0.2877906976744186, LR: 0.001
[2025-04-18 22:09:59] (step=0000196) Train Loss: 0.7670, Train Steps/Sec: 0.03, Epoch: 0.5697674418604651, LR: 0.001
[2025-04-18 22:10:29] (step=0000197) Train Loss: 0.8543, Train Steps/Sec: 0.03, Epoch: 0.5726744186046512, LR: 0.001
[2025-04-18 22:10:40] (step=0000100) Train Loss: 0.6428, Train Steps/Sec: 0.02, Epoch: 0.29069767441860467, LR: 0.001
[2025-04-18 22:10:58] (step=0000198) Train Loss: 0.5417, Train Steps/Sec: 0.03, Epoch: 0.5755813953488372, LR: 0.001
[2025-04-18 22:11:28] (step=0000199) Train Loss: 0.5171, Train Steps/Sec: 0.03, Epoch: 0.5784883720930233, LR: 0.001
[2025-04-18 22:11:29] (step=0000101) Train Loss: 0.4496, Train Steps/Sec: 0.02, Epoch: 0.2936046511627907, LR: 0.001
[2025-04-18 22:11:58] (step=0000200) Train Loss: 0.4661, Train Steps/Sec: 0.03, Epoch: 0.5813953488372093, LR: 0.001
[2025-04-18 22:12:11] Saved checkpoint to ./results/sfm_based//checkpoints/0000200/
[2025-04-18 22:12:17] (step=0000102) Train Loss: 0.6218, Train Steps/Sec: 0.02, Epoch: 0.29651162790697677, LR: 0.001
[2025-04-18 22:12:40] (step=0000201) Train Loss: 0.8459, Train Steps/Sec: 0.02, Epoch: 0.5843023255813954, LR: 0.001
[2025-04-18 22:13:06] (step=0000103) Train Loss: 0.8107, Train Steps/Sec: 0.02, Epoch: 0.29941860465116277, LR: 0.001
[2025-04-18 22:13:10] (step=0000202) Train Loss: 0.4507, Train Steps/Sec: 0.03, Epoch: 0.5872093023255814, LR: 0.001
[2025-04-18 22:13:40] (step=0000203) Train Loss: 0.4931, Train Steps/Sec: 0.03, Epoch: 0.5901162790697675, LR: 0.001
[2025-04-18 22:13:54] (step=0000104) Train Loss: 0.5040, Train Steps/Sec: 0.02, Epoch: 0.3023255813953488, LR: 0.001
[2025-04-18 22:14:10] (step=0000204) Train Loss: 0.4901, Train Steps/Sec: 0.03, Epoch: 0.5930232558139535, LR: 0.001
[2025-04-18 22:14:39] (step=0000205) Train Loss: 0.6536, Train Steps/Sec: 0.03, Epoch: 0.5959302325581395, LR: 0.001
[2025-04-18 22:14:43] (step=0000105) Train Loss: 0.4460, Train Steps/Sec: 0.02, Epoch: 0.30523255813953487, LR: 0.001
[2025-04-18 22:15:09] (step=0000206) Train Loss: 0.7907, Train Steps/Sec: 0.03, Epoch: 0.5988372093023255, LR: 0.001
[2025-04-18 22:15:31] (step=0000106) Train Loss: 0.8547, Train Steps/Sec: 0.02, Epoch: 0.3081395348837209, LR: 0.001
[2025-04-18 22:15:39] (step=0000207) Train Loss: 0.7664, Train Steps/Sec: 0.03, Epoch: 0.6017441860465116, LR: 0.001
[2025-04-18 22:16:09] (step=0000208) Train Loss: 0.7981, Train Steps/Sec: 0.03, Epoch: 0.6046511627906976, LR: 0.001
[2025-04-18 22:16:19] (step=0000107) Train Loss: 0.6526, Train Steps/Sec: 0.02, Epoch: 0.311046511627907, LR: 0.001
[2025-04-18 22:16:38] (step=0000209) Train Loss: 0.6936, Train Steps/Sec: 0.03, Epoch: 0.6075581395348837, LR: 0.001
[2025-04-18 22:17:07] (step=0000108) Train Loss: 0.7008, Train Steps/Sec: 0.02, Epoch: 0.313953488372093, LR: 0.001
[2025-04-18 22:17:08] (step=0000210) Train Loss: 0.7064, Train Steps/Sec: 0.03, Epoch: 0.6104651162790697, LR: 0.001
[2025-04-18 22:17:37] (step=0000211) Train Loss: 0.8353, Train Steps/Sec: 0.03, Epoch: 0.6133720930232558, LR: 0.001
[2025-04-18 22:17:56] (step=0000109) Train Loss: 0.6953, Train Steps/Sec: 0.02, Epoch: 0.3168604651162791, LR: 0.001
[2025-04-18 22:18:07] (step=0000212) Train Loss: 0.6834, Train Steps/Sec: 0.03, Epoch: 0.6162790697674418, LR: 0.001
[2025-04-18 22:18:37] (step=0000213) Train Loss: 0.6385, Train Steps/Sec: 0.03, Epoch: 0.6191860465116279, LR: 0.001
[2025-04-18 22:18:44] (step=0000110) Train Loss: 0.7665, Train Steps/Sec: 0.02, Epoch: 0.31976744186046513, LR: 0.001
[2025-04-18 22:19:06] (step=0000214) Train Loss: 0.5120, Train Steps/Sec: 0.03, Epoch: 0.622093023255814, LR: 0.001
[2025-04-18 22:19:32] (step=0000111) Train Loss: 0.7640, Train Steps/Sec: 0.02, Epoch: 0.3226744186046512, LR: 0.001
[2025-04-18 22:19:36] (step=0000215) Train Loss: 0.5086, Train Steps/Sec: 0.03, Epoch: 0.625, LR: 0.001
[2025-04-18 22:20:06] (step=0000216) Train Loss: 0.8434, Train Steps/Sec: 0.03, Epoch: 0.627906976744186, LR: 0.001
[2025-04-18 22:20:21] (step=0000112) Train Loss: 0.8012, Train Steps/Sec: 0.02, Epoch: 0.32558139534883723, LR: 0.001
[2025-04-18 22:20:35] (step=0000217) Train Loss: 0.7708, Train Steps/Sec: 0.03, Epoch: 0.6308139534883721, LR: 0.001
[2025-04-18 22:21:05] (step=0000218) Train Loss: 0.8039, Train Steps/Sec: 0.03, Epoch: 0.6337209302325582, LR: 0.001
[2025-04-18 22:21:09] (step=0000113) Train Loss: 0.7673, Train Steps/Sec: 0.02, Epoch: 0.32848837209302323, LR: 0.001
[2025-04-18 22:21:35] (step=0000219) Train Loss: 0.4993, Train Steps/Sec: 0.03, Epoch: 0.6366279069767442, LR: 0.001
[2025-04-18 22:21:57] (step=0000114) Train Loss: 0.8396, Train Steps/Sec: 0.02, Epoch: 0.3313953488372093, LR: 0.001
[2025-04-18 22:22:04] (step=0000220) Train Loss: 0.8381, Train Steps/Sec: 0.03, Epoch: 0.6395348837209303, LR: 0.001
[2025-04-18 22:22:34] (step=0000221) Train Loss: 0.6064, Train Steps/Sec: 0.03, Epoch: 0.6424418604651163, LR: 0.001
[2025-04-18 22:22:46] (step=0000115) Train Loss: 0.7215, Train Steps/Sec: 0.02, Epoch: 0.33430232558139533, LR: 0.001
[2025-04-18 22:23:03] (step=0000222) Train Loss: 0.8367, Train Steps/Sec: 0.03, Epoch: 0.6453488372093024, LR: 0.001
[2025-04-18 22:23:33] (step=0000223) Train Loss: 0.9065, Train Steps/Sec: 0.03, Epoch: 0.6482558139534884, LR: 0.001
[2025-04-18 22:23:34] (step=0000116) Train Loss: 0.4381, Train Steps/Sec: 0.02, Epoch: 0.3372093023255814, LR: 0.001
[2025-04-18 22:24:03] (step=0000224) Train Loss: 0.8964, Train Steps/Sec: 0.03, Epoch: 0.6511627906976745, LR: 0.001
[2025-04-18 22:24:22] (step=0000117) Train Loss: 0.6346, Train Steps/Sec: 0.02, Epoch: 0.34011627906976744, LR: 0.001
[2025-04-18 22:24:32] (step=0000225) Train Loss: 0.7818, Train Steps/Sec: 0.03, Epoch: 0.6540697674418605, LR: 0.001
[2025-04-18 22:25:02] (step=0000226) Train Loss: 0.8538, Train Steps/Sec: 0.03, Epoch: 0.6569767441860465, LR: 0.001
[2025-04-18 22:25:10] (step=0000118) Train Loss: 0.5027, Train Steps/Sec: 0.02, Epoch: 0.3430232558139535, LR: 0.001
[2025-04-18 22:25:32] (step=0000227) Train Loss: 0.5782, Train Steps/Sec: 0.03, Epoch: 0.6598837209302325, LR: 0.001
[2025-04-18 22:25:58] (step=0000119) Train Loss: 0.6332, Train Steps/Sec: 0.02, Epoch: 0.34593023255813954, LR: 0.001
[2025-04-18 22:26:01] (step=0000228) Train Loss: 0.4663, Train Steps/Sec: 0.03, Epoch: 0.6627906976744186, LR: 0.001
[2025-04-18 22:26:31] (step=0000229) Train Loss: 0.6330, Train Steps/Sec: 0.03, Epoch: 0.6656976744186046, LR: 0.001
[2025-04-18 22:26:47] (step=0000120) Train Loss: 0.5407, Train Steps/Sec: 0.02, Epoch: 0.3488372093023256, LR: 0.001
[2025-04-18 22:27:00] (step=0000230) Train Loss: 0.8181, Train Steps/Sec: 0.03, Epoch: 0.6686046511627907, LR: 0.001
[2025-04-18 22:27:30] (step=0000231) Train Loss: 0.7321, Train Steps/Sec: 0.03, Epoch: 0.6715116279069767, LR: 0.001
[2025-04-18 22:27:35] (step=0000121) Train Loss: 0.5787, Train Steps/Sec: 0.02, Epoch: 0.35174418604651164, LR: 0.001
[2025-04-18 22:28:00] (step=0000232) Train Loss: 0.8124, Train Steps/Sec: 0.03, Epoch: 0.6744186046511628, LR: 0.001
[2025-04-18 22:28:23] (step=0000122) Train Loss: 0.5911, Train Steps/Sec: 0.02, Epoch: 0.3546511627906977, LR: 0.001
[2025-04-18 22:28:29] (step=0000233) Train Loss: 0.6881, Train Steps/Sec: 0.03, Epoch: 0.6773255813953488, LR: 0.001
[2025-04-18 22:28:59] (step=0000234) Train Loss: 0.7815, Train Steps/Sec: 0.03, Epoch: 0.6802325581395349, LR: 0.001
[2025-04-18 22:29:11] (step=0000123) Train Loss: 0.5239, Train Steps/Sec: 0.02, Epoch: 0.35755813953488375, LR: 0.001
[2025-04-18 22:29:28] (step=0000235) Train Loss: 0.4621, Train Steps/Sec: 0.03, Epoch: 0.6831395348837209, LR: 0.001
[2025-04-18 22:29:58] (step=0000236) Train Loss: 0.8806, Train Steps/Sec: 0.03, Epoch: 0.686046511627907, LR: 0.001
[2025-04-18 22:30:00] (step=0000124) Train Loss: 0.6911, Train Steps/Sec: 0.02, Epoch: 0.36046511627906974, LR: 0.001
[2025-04-18 22:30:27] (step=0000237) Train Loss: 0.6585, Train Steps/Sec: 0.03, Epoch: 0.688953488372093, LR: 0.001
[2025-04-18 22:30:48] (step=0000125) Train Loss: 0.4632, Train Steps/Sec: 0.02, Epoch: 0.3633720930232558, LR: 0.001
[2025-04-18 22:30:57] (step=0000238) Train Loss: 0.6783, Train Steps/Sec: 0.03, Epoch: 0.6918604651162791, LR: 0.001
[2025-04-18 22:31:27] (step=0000239) Train Loss: 0.4573, Train Steps/Sec: 0.03, Epoch: 0.6947674418604651, LR: 0.001
[2025-04-18 22:31:36] (step=0000126) Train Loss: 0.7668, Train Steps/Sec: 0.02, Epoch: 0.36627906976744184, LR: 0.001
[2025-04-18 22:31:56] (step=0000240) Train Loss: 0.6825, Train Steps/Sec: 0.03, Epoch: 0.6976744186046512, LR: 0.001
[2025-04-18 22:32:25] (step=0000127) Train Loss: 0.3991, Train Steps/Sec: 0.02, Epoch: 0.3691860465116279, LR: 0.001
[2025-04-18 22:32:26] (step=0000241) Train Loss: 0.8617, Train Steps/Sec: 0.03, Epoch: 0.7005813953488372, LR: 0.001
[2025-04-18 22:32:55] (step=0000242) Train Loss: 0.6142, Train Steps/Sec: 0.03, Epoch: 0.7034883720930233, LR: 0.001
[2025-04-18 22:33:13] (step=0000128) Train Loss: 0.4901, Train Steps/Sec: 0.02, Epoch: 0.37209302325581395, LR: 0.001
[2025-04-18 22:33:25] (step=0000243) Train Loss: 0.8281, Train Steps/Sec: 0.03, Epoch: 0.7063953488372093, LR: 0.001
[2025-04-18 22:33:55] (step=0000244) Train Loss: 0.8328, Train Steps/Sec: 0.03, Epoch: 0.7093023255813954, LR: 0.001
[2025-04-18 22:34:01] (step=0000129) Train Loss: 0.7912, Train Steps/Sec: 0.02, Epoch: 0.375, LR: 0.001
[2025-04-18 22:34:24] (step=0000245) Train Loss: 0.8632, Train Steps/Sec: 0.03, Epoch: 0.7122093023255814, LR: 0.001
[2025-04-18 22:34:49] (step=0000130) Train Loss: 0.7724, Train Steps/Sec: 0.02, Epoch: 0.37790697674418605, LR: 0.001
[2025-04-18 22:34:54] (step=0000246) Train Loss: 0.7505, Train Steps/Sec: 0.03, Epoch: 0.7151162790697675, LR: 0.001
[2025-04-18 22:35:24] (step=0000247) Train Loss: 0.8978, Train Steps/Sec: 0.03, Epoch: 0.7180232558139535, LR: 0.001
[2025-04-18 22:35:38] (step=0000131) Train Loss: 0.7775, Train Steps/Sec: 0.02, Epoch: 0.3808139534883721, LR: 0.001
[2025-04-18 22:35:53] (step=0000248) Train Loss: 0.7774, Train Steps/Sec: 0.03, Epoch: 0.7209302325581395, LR: 0.001
[2025-04-18 22:36:23] (step=0000249) Train Loss: 0.7034, Train Steps/Sec: 0.03, Epoch: 0.7238372093023255, LR: 0.001
[2025-04-18 22:36:26] (step=0000132) Train Loss: 0.4201, Train Steps/Sec: 0.02, Epoch: 0.38372093023255816, LR: 0.001
[2025-04-18 22:36:53] (step=0000250) Train Loss: 0.5416, Train Steps/Sec: 0.03, Epoch: 0.7267441860465116, LR: 0.001
[2025-04-18 22:37:14] (step=0000133) Train Loss: 0.3907, Train Steps/Sec: 0.02, Epoch: 0.3866279069767442, LR: 0.001
[2025-04-18 22:37:22] (step=0000251) Train Loss: 0.7017, Train Steps/Sec: 0.03, Epoch: 0.7296511627906976, LR: 0.001
[2025-04-18 22:37:52] (step=0000252) Train Loss: 0.5101, Train Steps/Sec: 0.03, Epoch: 0.7325581395348837, LR: 0.001
[2025-04-18 22:38:02] (step=0000134) Train Loss: 0.4408, Train Steps/Sec: 0.02, Epoch: 0.38953488372093026, LR: 0.001
[2025-04-18 22:38:21] (step=0000253) Train Loss: 0.7148, Train Steps/Sec: 0.03, Epoch: 0.7354651162790697, LR: 0.001
[2025-04-18 22:38:50] (step=0000254) Train Loss: 0.8728, Train Steps/Sec: 0.03, Epoch: 0.7383720930232558, LR: 0.001
[2025-04-18 22:38:51] (step=0000135) Train Loss: 0.5557, Train Steps/Sec: 0.02, Epoch: 0.39244186046511625, LR: 0.001
[2025-04-18 22:39:20] (step=0000255) Train Loss: 0.6794, Train Steps/Sec: 0.03, Epoch: 0.7412790697674418, LR: 0.001
[2025-04-18 22:39:39] (step=0000136) Train Loss: 0.4298, Train Steps/Sec: 0.02, Epoch: 0.3953488372093023, LR: 0.001
[2025-04-18 22:39:50] (step=0000256) Train Loss: 0.4935, Train Steps/Sec: 0.03, Epoch: 0.7441860465116279, LR: 0.001
[2025-04-18 22:40:20] (step=0000257) Train Loss: 0.3884, Train Steps/Sec: 0.03, Epoch: 0.747093023255814, LR: 0.001
[2025-04-18 22:40:27] (step=0000137) Train Loss: 0.8141, Train Steps/Sec: 0.02, Epoch: 0.39825581395348836, LR: 0.001
[2025-04-18 22:40:49] (step=0000258) Train Loss: 0.5677, Train Steps/Sec: 0.03, Epoch: 0.75, LR: 0.001
[2025-04-18 22:41:16] (step=0000138) Train Loss: 0.6950, Train Steps/Sec: 0.02, Epoch: 0.4011627906976744, LR: 0.001
[2025-04-18 22:41:19] (step=0000259) Train Loss: 0.7045, Train Steps/Sec: 0.03, Epoch: 0.752906976744186, LR: 0.001
[2025-04-18 22:41:49] (step=0000260) Train Loss: 0.9080, Train Steps/Sec: 0.03, Epoch: 0.7558139534883721, LR: 0.001
[2025-04-18 22:42:04] (step=0000139) Train Loss: 0.8431, Train Steps/Sec: 0.02, Epoch: 0.40406976744186046, LR: 0.001
[2025-04-18 22:42:18] (step=0000261) Train Loss: 0.7778, Train Steps/Sec: 0.03, Epoch: 0.7587209302325582, LR: 0.001
[2025-04-18 22:42:48] (step=0000262) Train Loss: 0.6898, Train Steps/Sec: 0.03, Epoch: 0.7616279069767442, LR: 0.001
[2025-04-18 22:42:52] (step=0000140) Train Loss: 0.8115, Train Steps/Sec: 0.02, Epoch: 0.4069767441860465, LR: 0.001
[2025-04-18 22:43:18] (step=0000263) Train Loss: 0.7085, Train Steps/Sec: 0.03, Epoch: 0.7645348837209303, LR: 0.001
[2025-04-18 22:43:40] (step=0000141) Train Loss: 0.5304, Train Steps/Sec: 0.02, Epoch: 0.40988372093023256, LR: 0.001
[2025-04-18 22:43:48] (step=0000264) Train Loss: 0.7230, Train Steps/Sec: 0.03, Epoch: 0.7674418604651163, LR: 0.001
[2025-04-18 22:44:17] (step=0000265) Train Loss: 0.7919, Train Steps/Sec: 0.03, Epoch: 0.7703488372093024, LR: 0.001
[2025-04-18 22:44:28] (step=0000142) Train Loss: 0.8165, Train Steps/Sec: 0.02, Epoch: 0.4127906976744186, LR: 0.001
[2025-04-18 22:44:47] (step=0000266) Train Loss: 0.4585, Train Steps/Sec: 0.03, Epoch: 0.7732558139534884, LR: 0.001
[2025-04-18 22:45:17] (step=0000143) Train Loss: 0.5381, Train Steps/Sec: 0.02, Epoch: 0.41569767441860467, LR: 0.001
[2025-04-18 22:45:17] (step=0000267) Train Loss: 0.4872, Train Steps/Sec: 0.03, Epoch: 0.7761627906976745, LR: 0.001
[2025-04-18 22:45:46] (step=0000268) Train Loss: 0.7714, Train Steps/Sec: 0.03, Epoch: 0.7790697674418605, LR: 0.001
[2025-04-18 22:46:05] (step=0000144) Train Loss: 0.4086, Train Steps/Sec: 0.02, Epoch: 0.4186046511627907, LR: 0.001
[2025-04-18 22:46:16] (step=0000269) Train Loss: 0.5117, Train Steps/Sec: 0.03, Epoch: 0.7819767441860465, LR: 0.001
[2025-04-18 22:46:46] (step=0000270) Train Loss: 0.7622, Train Steps/Sec: 0.03, Epoch: 0.7848837209302325, LR: 0.001
[2025-04-18 22:46:53] (step=0000145) Train Loss: 0.6382, Train Steps/Sec: 0.02, Epoch: 0.42151162790697677, LR: 0.001
[2025-04-18 22:47:16] (step=0000271) Train Loss: 0.8313, Train Steps/Sec: 0.03, Epoch: 0.7877906976744186, LR: 0.001
[2025-04-18 22:47:42] (step=0000146) Train Loss: 0.8116, Train Steps/Sec: 0.02, Epoch: 0.42441860465116277, LR: 0.001
[2025-04-18 22:47:45] (step=0000272) Train Loss: 0.7164, Train Steps/Sec: 0.03, Epoch: 0.7906976744186046, LR: 0.001
[2025-04-18 22:48:15] (step=0000273) Train Loss: 0.6402, Train Steps/Sec: 0.03, Epoch: 0.7936046511627907, LR: 0.001
[2025-04-18 22:48:30] (step=0000147) Train Loss: 0.5872, Train Steps/Sec: 0.02, Epoch: 0.4273255813953488, LR: 0.001
[2025-04-18 22:48:45] (step=0000274) Train Loss: 0.5932, Train Steps/Sec: 0.03, Epoch: 0.7965116279069767, LR: 0.001
[2025-04-18 22:49:14] (step=0000275) Train Loss: 0.7934, Train Steps/Sec: 0.03, Epoch: 0.7994186046511628, LR: 0.001
[2025-04-18 22:49:19] (step=0000148) Train Loss: 0.7940, Train Steps/Sec: 0.02, Epoch: 0.43023255813953487, LR: 0.001
[2025-04-18 22:49:44] (step=0000276) Train Loss: 0.7376, Train Steps/Sec: 0.03, Epoch: 0.8023255813953488, LR: 0.001
[2025-04-18 22:50:07] (step=0000149) Train Loss: 0.8110, Train Steps/Sec: 0.02, Epoch: 0.4331395348837209, LR: 0.001
[2025-04-18 22:50:13] (step=0000277) Train Loss: 0.7835, Train Steps/Sec: 0.03, Epoch: 0.8052325581395349, LR: 0.001
[2025-04-18 22:50:43] (step=0000278) Train Loss: 0.7868, Train Steps/Sec: 0.03, Epoch: 0.8081395348837209, LR: 0.001
[2025-04-18 22:50:55] (step=0000150) Train Loss: 0.7310, Train Steps/Sec: 0.02, Epoch: 0.436046511627907, LR: 0.001
[2025-04-18 22:51:13] (step=0000279) Train Loss: 0.8669, Train Steps/Sec: 0.03, Epoch: 0.811046511627907, LR: 0.001
[2025-04-18 22:51:43] (step=0000280) Train Loss: 0.5127, Train Steps/Sec: 0.03, Epoch: 0.813953488372093, LR: 0.001
[2025-04-18 22:51:43] (step=0000151) Train Loss: 0.5679, Train Steps/Sec: 0.02, Epoch: 0.438953488372093, LR: 0.001
[2025-04-18 22:52:12] (step=0000281) Train Loss: 0.7771, Train Steps/Sec: 0.03, Epoch: 0.8168604651162791, LR: 0.001
[2025-04-18 22:52:32] (step=0000152) Train Loss: 0.7391, Train Steps/Sec: 0.02, Epoch: 0.4418604651162791, LR: 0.001
[2025-04-18 22:52:42] (step=0000282) Train Loss: 0.7467, Train Steps/Sec: 0.03, Epoch: 0.8197674418604651, LR: 0.001
[2025-04-18 22:53:12] (step=0000283) Train Loss: 0.6304, Train Steps/Sec: 0.03, Epoch: 0.8226744186046512, LR: 0.001
[2025-04-18 22:53:20] (step=0000153) Train Loss: 0.6517, Train Steps/Sec: 0.02, Epoch: 0.44476744186046513, LR: 0.001
[2025-04-18 22:53:42] (step=0000284) Train Loss: 0.5244, Train Steps/Sec: 0.03, Epoch: 0.8255813953488372, LR: 0.001
[2025-04-18 22:54:09] (step=0000154) Train Loss: 0.4750, Train Steps/Sec: 0.02, Epoch: 0.4476744186046512, LR: 0.001
[2025-04-18 22:54:11] (step=0000285) Train Loss: 0.4354, Train Steps/Sec: 0.03, Epoch: 0.8284883720930233, LR: 0.001
[2025-04-18 22:54:41] (step=0000286) Train Loss: 0.8650, Train Steps/Sec: 0.03, Epoch: 0.8313953488372093, LR: 0.001
[2025-04-18 22:54:57] (step=0000155) Train Loss: 0.6023, Train Steps/Sec: 0.02, Epoch: 0.45058139534883723, LR: 0.001
[2025-04-18 22:55:11] (step=0000287) Train Loss: 0.4375, Train Steps/Sec: 0.03, Epoch: 0.8343023255813954, LR: 0.001
[2025-04-18 22:55:41] (step=0000288) Train Loss: 0.6938, Train Steps/Sec: 0.03, Epoch: 0.8372093023255814, LR: 0.001
[2025-04-18 22:55:45] (step=0000156) Train Loss: 0.7975, Train Steps/Sec: 0.02, Epoch: 0.45348837209302323, LR: 0.001
[2025-04-18 22:56:10] (step=0000289) Train Loss: 0.5042, Train Steps/Sec: 0.03, Epoch: 0.8401162790697675, LR: 0.001
[2025-04-18 22:56:34] (step=0000157) Train Loss: 0.6433, Train Steps/Sec: 0.02, Epoch: 0.4563953488372093, LR: 0.001
[2025-04-18 22:56:40] (step=0000290) Train Loss: 0.7558, Train Steps/Sec: 0.03, Epoch: 0.8430232558139535, LR: 0.001
[2025-04-18 22:57:09] (step=0000291) Train Loss: 0.5272, Train Steps/Sec: 0.03, Epoch: 0.8459302325581395, LR: 0.001
[2025-04-18 22:57:22] (step=0000158) Train Loss: 0.7607, Train Steps/Sec: 0.02, Epoch: 0.45930232558139533, LR: 0.001
[2025-04-18 22:57:39] (step=0000292) Train Loss: 0.6825, Train Steps/Sec: 0.03, Epoch: 0.8488372093023255, LR: 0.001
[2025-04-18 22:58:09] (step=0000293) Train Loss: 0.8171, Train Steps/Sec: 0.03, Epoch: 0.8517441860465116, LR: 0.001
[2025-04-18 22:58:11] (step=0000159) Train Loss: 0.7531, Train Steps/Sec: 0.02, Epoch: 0.4622093023255814, LR: 0.001
[2025-04-18 22:58:38] (step=0000294) Train Loss: 0.4611, Train Steps/Sec: 0.03, Epoch: 0.8546511627906976, LR: 0.001
[2025-04-18 22:58:59] (step=0000160) Train Loss: 0.6440, Train Steps/Sec: 0.02, Epoch: 0.46511627906976744, LR: 0.001
[2025-04-18 22:59:08] (step=0000295) Train Loss: 0.6323, Train Steps/Sec: 0.03, Epoch: 0.8575581395348837, LR: 0.001
[2025-04-18 22:59:38] (step=0000296) Train Loss: 0.7290, Train Steps/Sec: 0.03, Epoch: 0.8604651162790697, LR: 0.001
[2025-04-18 22:59:47] (step=0000161) Train Loss: 0.7007, Train Steps/Sec: 0.02, Epoch: 0.4680232558139535, LR: 0.001
[2025-04-18 23:00:08] (step=0000297) Train Loss: 0.8196, Train Steps/Sec: 0.03, Epoch: 0.8633720930232558, LR: 0.001
[2025-04-18 23:00:36] (step=0000162) Train Loss: 0.4396, Train Steps/Sec: 0.02, Epoch: 0.47093023255813954, LR: 0.001
[2025-04-18 23:00:37] (step=0000298) Train Loss: 0.5004, Train Steps/Sec: 0.03, Epoch: 0.8662790697674418, LR: 0.001
[2025-04-18 23:00:54] (step=0000163) Train Loss: 0.5219, Train Steps/Sec: 0.05, Epoch: 0.4738372093023256, LR: 0.001
[2025-04-18 23:01:07] (step=0000299) Train Loss: 0.4840, Train Steps/Sec: 0.03, Epoch: 0.8691860465116279, LR: 0.001
[2025-04-18 23:01:37] (step=0000300) Train Loss: 0.7794, Train Steps/Sec: 0.03, Epoch: 0.872093023255814, LR: 0.001
[2025-04-18 23:01:43] (step=0000164) Train Loss: 0.5176, Train Steps/Sec: 0.02, Epoch: 0.47674418604651164, LR: 0.001
[2025-04-18 23:02:06] (step=0000301) Train Loss: 0.8251, Train Steps/Sec: 0.03, Epoch: 0.875, LR: 0.001
[2025-04-18 23:02:31] (step=0000165) Train Loss: 0.7533, Train Steps/Sec: 0.02, Epoch: 0.4796511627906977, LR: 0.001
[2025-04-18 23:02:36] (step=0000302) Train Loss: 0.5555, Train Steps/Sec: 0.03, Epoch: 0.877906976744186, LR: 0.001
[2025-04-18 23:03:06] (step=0000303) Train Loss: 0.5784, Train Steps/Sec: 0.03, Epoch: 0.8808139534883721, LR: 0.001
[2025-04-18 23:03:19] (step=0000166) Train Loss: 0.6095, Train Steps/Sec: 0.02, Epoch: 0.48255813953488375, LR: 0.001
[2025-04-18 23:03:35] (step=0000304) Train Loss: 0.5629, Train Steps/Sec: 0.03, Epoch: 0.8837209302325582, LR: 0.001
[2025-04-18 23:04:05] (step=0000305) Train Loss: 0.7642, Train Steps/Sec: 0.03, Epoch: 0.8866279069767442, LR: 0.001
[2025-04-18 23:04:07] (step=0000167) Train Loss: 0.7252, Train Steps/Sec: 0.02, Epoch: 0.48546511627906974, LR: 0.001
[2025-04-18 23:04:34] (step=0000306) Train Loss: 0.6087, Train Steps/Sec: 0.03, Epoch: 0.8895348837209303, LR: 0.001
[2025-04-18 23:04:56] (step=0000168) Train Loss: 0.8126, Train Steps/Sec: 0.02, Epoch: 0.4883720930232558, LR: 0.001
[2025-04-18 23:05:04] (step=0000307) Train Loss: 0.4709, Train Steps/Sec: 0.03, Epoch: 0.8924418604651163, LR: 0.001
[2025-04-18 23:05:34] (step=0000308) Train Loss: 0.4596, Train Steps/Sec: 0.03, Epoch: 0.8953488372093024, LR: 0.001
[2025-04-18 23:05:44] (step=0000169) Train Loss: 0.8210, Train Steps/Sec: 0.02, Epoch: 0.49127906976744184, LR: 0.001
[2025-04-18 23:06:04] (step=0000309) Train Loss: 0.6350, Train Steps/Sec: 0.03, Epoch: 0.8982558139534884, LR: 0.001
[2025-04-18 23:06:33] (step=0000170) Train Loss: 0.8771, Train Steps/Sec: 0.02, Epoch: 0.4941860465116279, LR: 0.001
[2025-04-18 23:06:33] (step=0000310) Train Loss: 0.4821, Train Steps/Sec: 0.03, Epoch: 0.9011627906976745, LR: 0.001
[2025-04-18 23:07:03] (step=0000311) Train Loss: 0.7214, Train Steps/Sec: 0.03, Epoch: 0.9040697674418605, LR: 0.001
[2025-04-18 23:07:21] (step=0000171) Train Loss: 0.4042, Train Steps/Sec: 0.02, Epoch: 0.49709302325581395, LR: 0.001
[2025-04-18 23:07:33] (step=0000312) Train Loss: 0.5408, Train Steps/Sec: 0.03, Epoch: 0.9069767441860465, LR: 0.001
[2025-04-18 23:08:03] (step=0000313) Train Loss: 0.6945, Train Steps/Sec: 0.03, Epoch: 0.9098837209302325, LR: 0.001
[2025-04-18 23:08:09] (step=0000172) Train Loss: 0.5754, Train Steps/Sec: 0.02, Epoch: 0.5, LR: 0.001
[2025-04-18 23:08:32] (step=0000314) Train Loss: 0.4819, Train Steps/Sec: 0.03, Epoch: 0.9127906976744186, LR: 0.001
[2025-04-18 23:08:57] (step=0000173) Train Loss: 0.6650, Train Steps/Sec: 0.02, Epoch: 0.502906976744186, LR: 0.001
[2025-04-18 23:09:02] (step=0000315) Train Loss: 0.6294, Train Steps/Sec: 0.03, Epoch: 0.9156976744186046, LR: 0.001
[2025-04-18 23:09:32] (step=0000316) Train Loss: 0.4153, Train Steps/Sec: 0.03, Epoch: 0.9186046511627907, LR: 0.001
[2025-04-18 23:09:46] (step=0000174) Train Loss: 0.6943, Train Steps/Sec: 0.02, Epoch: 0.5058139534883721, LR: 0.001
[2025-04-18 23:10:02] (step=0000317) Train Loss: 0.6322, Train Steps/Sec: 0.03, Epoch: 0.9215116279069767, LR: 0.001
[2025-04-18 23:10:31] (step=0000318) Train Loss: 0.6515, Train Steps/Sec: 0.03, Epoch: 0.9244186046511628, LR: 0.001
[2025-04-18 23:10:34] (step=0000175) Train Loss: 0.4052, Train Steps/Sec: 0.02, Epoch: 0.5087209302325582, LR: 0.001
[2025-04-18 23:11:01] (step=0000319) Train Loss: 0.8475, Train Steps/Sec: 0.03, Epoch: 0.9273255813953488, LR: 0.001
[2025-04-18 23:11:23] (step=0000176) Train Loss: 0.5431, Train Steps/Sec: 0.02, Epoch: 0.5116279069767442, LR: 0.001
[2025-04-18 23:11:31] (step=0000320) Train Loss: 0.7686, Train Steps/Sec: 0.03, Epoch: 0.9302325581395349, LR: 0.001
[2025-04-18 23:12:01] (step=0000321) Train Loss: 0.4102, Train Steps/Sec: 0.03, Epoch: 0.9331395348837209, LR: 0.001
[2025-04-18 23:12:11] (step=0000177) Train Loss: 0.5921, Train Steps/Sec: 0.02, Epoch: 0.5145348837209303, LR: 0.001
[2025-04-18 23:12:31] (step=0000322) Train Loss: 0.8508, Train Steps/Sec: 0.03, Epoch: 0.936046511627907, LR: 0.001
[2025-04-18 23:12:59] (step=0000178) Train Loss: 0.4180, Train Steps/Sec: 0.02, Epoch: 0.5174418604651163, LR: 0.001
[2025-04-18 23:13:00] (step=0000323) Train Loss: 0.7851, Train Steps/Sec: 0.03, Epoch: 0.938953488372093, LR: 0.001
[2025-04-18 23:13:30] (step=0000324) Train Loss: 0.4514, Train Steps/Sec: 0.03, Epoch: 0.9418604651162791, LR: 0.001
[2025-04-18 23:13:48] (step=0000179) Train Loss: 0.7991, Train Steps/Sec: 0.02, Epoch: 0.5203488372093024, LR: 0.001
[2025-04-18 23:14:00] (step=0000325) Train Loss: 0.4398, Train Steps/Sec: 0.03, Epoch: 0.9447674418604651, LR: 0.001
[2025-04-18 23:14:29] (step=0000326) Train Loss: 0.4578, Train Steps/Sec: 0.03, Epoch: 0.9476744186046512, LR: 0.001
[2025-04-18 23:14:36] (step=0000180) Train Loss: 0.5211, Train Steps/Sec: 0.02, Epoch: 0.5232558139534884, LR: 0.001
[2025-04-18 23:14:59] (step=0000327) Train Loss: 0.8398, Train Steps/Sec: 0.03, Epoch: 0.9505813953488372, LR: 0.001
[2025-04-18 23:15:24] (step=0000181) Train Loss: 0.7206, Train Steps/Sec: 0.02, Epoch: 0.5261627906976745, LR: 0.001
[2025-04-18 23:15:29] (step=0000328) Train Loss: 0.5746, Train Steps/Sec: 0.03, Epoch: 0.9534883720930233, LR: 0.001
[2025-04-18 23:15:58] (step=0000329) Train Loss: 0.8479, Train Steps/Sec: 0.03, Epoch: 0.9563953488372093, LR: 0.001
[2025-04-18 23:16:12] (step=0000182) Train Loss: 0.8304, Train Steps/Sec: 0.02, Epoch: 0.5290697674418605, LR: 0.001
[2025-04-18 23:16:28] (step=0000330) Train Loss: 0.4942, Train Steps/Sec: 0.03, Epoch: 0.9593023255813954, LR: 0.001
[2025-04-18 23:16:57] (step=0000331) Train Loss: 0.4761, Train Steps/Sec: 0.03, Epoch: 0.9622093023255814, LR: 0.001
[2025-04-18 23:17:01] (step=0000183) Train Loss: 0.6672, Train Steps/Sec: 0.02, Epoch: 0.5319767441860465, LR: 0.001
[2025-04-18 23:17:27] (step=0000332) Train Loss: 0.6873, Train Steps/Sec: 0.03, Epoch: 0.9651162790697675, LR: 0.001
[2025-04-18 23:17:49] (step=0000184) Train Loss: 0.6508, Train Steps/Sec: 0.02, Epoch: 0.5348837209302325, LR: 0.001
[2025-04-18 23:17:57] (step=0000333) Train Loss: 0.8247, Train Steps/Sec: 0.03, Epoch: 0.9680232558139535, LR: 0.001
[2025-04-18 23:18:26] (step=0000334) Train Loss: 0.4517, Train Steps/Sec: 0.03, Epoch: 0.9709302325581395, LR: 0.001
[2025-04-18 23:18:37] (step=0000185) Train Loss: 0.4609, Train Steps/Sec: 0.02, Epoch: 0.5377906976744186, LR: 0.001
[2025-04-18 23:18:56] (step=0000186) Train Loss: 0.4142, Train Steps/Sec: 0.05, Epoch: 0.5406976744186046, LR: 0.001
[2025-04-18 23:18:56] (step=0000335) Train Loss: 0.5785, Train Steps/Sec: 0.03, Epoch: 0.9738372093023255, LR: 0.001
[2025-04-18 23:19:26] (step=0000336) Train Loss: 0.6256, Train Steps/Sec: 0.03, Epoch: 0.9767441860465116, LR: 0.001
[2025-04-18 23:19:44] (step=0000187) Train Loss: 0.7943, Train Steps/Sec: 0.02, Epoch: 0.5436046511627907, LR: 0.001
[2025-04-18 23:19:56] (step=0000337) Train Loss: 0.6920, Train Steps/Sec: 0.03, Epoch: 0.9796511627906976, LR: 0.001
[2025-04-18 23:20:26] (step=0000338) Train Loss: 0.7652, Train Steps/Sec: 0.03, Epoch: 0.9825581395348837, LR: 0.001
[2025-04-18 23:20:33] (step=0000188) Train Loss: 0.6998, Train Steps/Sec: 0.02, Epoch: 0.5465116279069767, LR: 0.001
[2025-04-18 23:20:55] (step=0000339) Train Loss: 0.7101, Train Steps/Sec: 0.03, Epoch: 0.9854651162790697, LR: 0.001
[2025-04-18 23:21:21] (step=0000189) Train Loss: 0.6376, Train Steps/Sec: 0.02, Epoch: 0.5494186046511628, LR: 0.001
[2025-04-18 23:21:25] (step=0000340) Train Loss: 0.8354, Train Steps/Sec: 0.03, Epoch: 0.9883720930232558, LR: 0.001
[2025-04-18 23:21:54] (step=0000341) Train Loss: 0.8609, Train Steps/Sec: 0.03, Epoch: 0.9912790697674418, LR: 0.001
[2025-04-18 23:22:09] (step=0000190) Train Loss: 0.6832, Train Steps/Sec: 0.02, Epoch: 0.5523255813953488, LR: 0.001
[2025-04-18 23:22:24] (step=0000342) Train Loss: 0.6282, Train Steps/Sec: 0.03, Epoch: 0.9941860465116279, LR: 0.001
[2025-04-18 23:22:54] (step=0000343) Train Loss: 0.5423, Train Steps/Sec: 0.03, Epoch: 0.997093023255814, LR: 0.001
[2025-04-18 23:22:58] (step=0000191) Train Loss: 0.8027, Train Steps/Sec: 0.02, Epoch: 0.5552325581395349, LR: 0.001
[2025-04-18 23:23:23] (step=0000344) Train Loss: 0.8775, Train Steps/Sec: 0.03, Epoch: 1.0, LR: 0.001
[2025-04-18 23:23:23] Beginning epoch 1...
[2025-04-18 23:23:46] (step=0000192) Train Loss: 0.4704, Train Steps/Sec: 0.02, Epoch: 0.5581395348837209, LR: 0.001
[2025-04-18 23:24:01] (step=0000345) Train Loss: 0.6413, Train Steps/Sec: 0.03, Epoch: 1.002906976744186, LR: 0.001
[2025-04-18 23:24:30] (step=0000346) Train Loss: 0.8782, Train Steps/Sec: 0.03, Epoch: 1.005813953488372, LR: 0.001
[2025-04-18 23:24:34] (step=0000193) Train Loss: 0.7604, Train Steps/Sec: 0.02, Epoch: 0.561046511627907, LR: 0.001
[2025-04-18 23:25:00] (step=0000347) Train Loss: 0.6619, Train Steps/Sec: 0.03, Epoch: 1.0087209302325582, LR: 0.001
[2025-04-18 23:25:22] (step=0000194) Train Loss: 0.3875, Train Steps/Sec: 0.02, Epoch: 0.563953488372093, LR: 0.001
[2025-04-18 23:25:30] (step=0000348) Train Loss: 0.8686, Train Steps/Sec: 0.03, Epoch: 1.0116279069767442, LR: 0.001
[2025-04-18 23:26:00] (step=0000349) Train Loss: 0.8645, Train Steps/Sec: 0.03, Epoch: 1.0145348837209303, LR: 0.001
[2025-04-18 23:26:11] (step=0000195) Train Loss: 0.4623, Train Steps/Sec: 0.02, Epoch: 0.5668604651162791, LR: 0.001
[2025-04-18 23:26:29] (step=0000350) Train Loss: 0.4678, Train Steps/Sec: 0.03, Epoch: 1.0174418604651163, LR: 0.001
[2025-04-18 23:26:59] (step=0000351) Train Loss: 0.7420, Train Steps/Sec: 0.03, Epoch: 1.0203488372093024, LR: 0.001
[2025-04-18 23:26:59] (step=0000196) Train Loss: 0.8130, Train Steps/Sec: 0.02, Epoch: 0.5697674418604651, LR: 0.001
[2025-04-18 23:27:29] (step=0000352) Train Loss: 0.8413, Train Steps/Sec: 0.03, Epoch: 1.0232558139534884, LR: 0.001
[2025-04-18 23:27:47] (step=0000197) Train Loss: 0.6343, Train Steps/Sec: 0.02, Epoch: 0.5726744186046512, LR: 0.001
[2025-04-18 23:27:58] (step=0000353) Train Loss: 0.5912, Train Steps/Sec: 0.03, Epoch: 1.0261627906976745, LR: 0.001
[2025-04-18 23:28:28] (step=0000354) Train Loss: 0.4988, Train Steps/Sec: 0.03, Epoch: 1.0290697674418605, LR: 0.001
[2025-04-18 23:28:36] (step=0000198) Train Loss: 0.5830, Train Steps/Sec: 0.02, Epoch: 0.5755813953488372, LR: 0.001
[2025-04-18 23:28:58] (step=0000355) Train Loss: 0.6535, Train Steps/Sec: 0.03, Epoch: 1.0319767441860466, LR: 0.001
[2025-04-18 23:29:24] (step=0000199) Train Loss: 0.4938, Train Steps/Sec: 0.02, Epoch: 0.5784883720930233, LR: 0.001
[2025-04-18 23:29:27] (step=0000356) Train Loss: 0.7318, Train Steps/Sec: 0.03, Epoch: 1.0348837209302326, LR: 0.001
[2025-04-18 23:29:57] (step=0000357) Train Loss: 0.5364, Train Steps/Sec: 0.03, Epoch: 1.0377906976744187, LR: 0.001
[2025-04-18 23:30:12] (step=0000200) Train Loss: 0.7130, Train Steps/Sec: 0.02, Epoch: 0.5813953488372093, LR: 0.001
[2025-04-18 23:30:25] Saved checkpoint to ./results/sfm_based//checkpoints/0000200/
[2025-04-18 23:30:27] (step=0000358) Train Loss: 0.7774, Train Steps/Sec: 0.03, Epoch: 1.0406976744186047, LR: 0.001
[2025-04-18 23:30:56] (step=0000359) Train Loss: 0.8080, Train Steps/Sec: 0.03, Epoch: 1.0436046511627908, LR: 0.001
[2025-04-18 23:31:13] (step=0000201) Train Loss: 0.4913, Train Steps/Sec: 0.02, Epoch: 0.5843023255813954, LR: 0.001
[2025-04-18 23:31:26] (step=0000360) Train Loss: 0.8573, Train Steps/Sec: 0.03, Epoch: 1.0465116279069768, LR: 0.001
[2025-04-18 23:31:56] (step=0000361) Train Loss: 0.5416, Train Steps/Sec: 0.03, Epoch: 1.0494186046511629, LR: 0.001
[2025-04-18 23:32:02] (step=0000202) Train Loss: 0.8734, Train Steps/Sec: 0.02, Epoch: 0.5872093023255814, LR: 0.001
[2025-04-18 23:32:26] (step=0000362) Train Loss: 0.6621, Train Steps/Sec: 0.03, Epoch: 1.052325581395349, LR: 0.001
[2025-04-18 23:32:50] (step=0000203) Train Loss: 0.5816, Train Steps/Sec: 0.02, Epoch: 0.5901162790697675, LR: 0.001
[2025-04-18 23:32:55] (step=0000363) Train Loss: 0.7855, Train Steps/Sec: 0.03, Epoch: 1.055232558139535, LR: 0.001
[2025-04-18 23:33:25] (step=0000364) Train Loss: 0.8440, Train Steps/Sec: 0.03, Epoch: 1.058139534883721, LR: 0.001
[2025-04-18 23:33:39] (step=0000204) Train Loss: 0.8751, Train Steps/Sec: 0.02, Epoch: 0.5930232558139535, LR: 0.001
[2025-04-18 23:33:54] (step=0000365) Train Loss: 0.7439, Train Steps/Sec: 0.03, Epoch: 1.061046511627907, LR: 0.001
[2025-04-18 23:34:24] (step=0000366) Train Loss: 0.8658, Train Steps/Sec: 0.03, Epoch: 1.063953488372093, LR: 0.001
[2025-04-18 23:34:27] (step=0000205) Train Loss: 0.6769, Train Steps/Sec: 0.02, Epoch: 0.5959302325581395, LR: 0.001
[2025-04-18 23:34:54] (step=0000367) Train Loss: 0.5884, Train Steps/Sec: 0.03, Epoch: 1.066860465116279, LR: 0.001
[2025-04-18 23:35:15] (step=0000206) Train Loss: 0.5833, Train Steps/Sec: 0.02, Epoch: 0.5988372093023255, LR: 0.001
[2025-04-18 23:35:23] (step=0000368) Train Loss: 0.7036, Train Steps/Sec: 0.03, Epoch: 1.069767441860465, LR: 0.001
[2025-04-18 23:35:53] (step=0000369) Train Loss: 0.6324, Train Steps/Sec: 0.03, Epoch: 1.072674418604651, LR: 0.001
[2025-04-18 23:36:03] (step=0000207) Train Loss: 0.8508, Train Steps/Sec: 0.02, Epoch: 0.6017441860465116, LR: 0.001
[2025-04-18 23:36:22] (step=0000370) Train Loss: 0.8426, Train Steps/Sec: 0.03, Epoch: 1.0755813953488371, LR: 0.001
[2025-04-18 23:36:52] (step=0000208) Train Loss: 0.6785, Train Steps/Sec: 0.02, Epoch: 0.6046511627906976, LR: 0.001
[2025-04-18 23:36:52] (step=0000371) Train Loss: 0.7363, Train Steps/Sec: 0.03, Epoch: 1.0784883720930232, LR: 0.001
[2025-04-18 23:37:22] (step=0000372) Train Loss: 0.5271, Train Steps/Sec: 0.03, Epoch: 1.0813953488372092, LR: 0.001
[2025-04-18 23:37:40] (step=0000209) Train Loss: 0.6726, Train Steps/Sec: 0.02, Epoch: 0.6075581395348837, LR: 0.001
[2025-04-18 23:37:51] (step=0000373) Train Loss: 0.4562, Train Steps/Sec: 0.03, Epoch: 1.0843023255813953, LR: 0.001
[2025-04-18 23:38:21] (step=0000374) Train Loss: 0.7457, Train Steps/Sec: 0.03, Epoch: 1.0872093023255813, LR: 0.001
[2025-04-18 23:38:28] (step=0000210) Train Loss: 0.4396, Train Steps/Sec: 0.02, Epoch: 0.6104651162790697, LR: 0.001
[2025-04-18 23:38:51] (step=0000375) Train Loss: 0.5714, Train Steps/Sec: 0.03, Epoch: 1.0901162790697674, LR: 0.001
[2025-04-18 23:39:16] (step=0000211) Train Loss: 0.5299, Train Steps/Sec: 0.02, Epoch: 0.6133720930232558, LR: 0.001
[2025-04-18 23:39:20] (step=0000376) Train Loss: 0.8160, Train Steps/Sec: 0.03, Epoch: 1.0930232558139534, LR: 0.001
[2025-04-18 23:39:50] (step=0000377) Train Loss: 0.5150, Train Steps/Sec: 0.03, Epoch: 1.0959302325581395, LR: 0.001
[2025-04-18 23:40:05] (step=0000212) Train Loss: 0.7977, Train Steps/Sec: 0.02, Epoch: 0.6162790697674418, LR: 0.001
[2025-04-18 23:40:20] (step=0000378) Train Loss: 0.8368, Train Steps/Sec: 0.03, Epoch: 1.0988372093023255, LR: 0.001
[2025-04-18 23:40:49] (step=0000379) Train Loss: 0.5796, Train Steps/Sec: 0.03, Epoch: 1.1017441860465116, LR: 0.001
[2025-04-18 23:40:53] (step=0000213) Train Loss: 0.4455, Train Steps/Sec: 0.02, Epoch: 0.6191860465116279, LR: 0.001
[2025-04-18 23:41:19] (step=0000380) Train Loss: 0.6329, Train Steps/Sec: 0.03, Epoch: 1.1046511627906976, LR: 0.001
[2025-04-18 23:41:29] (step=0000381) Train Loss: 0.5433, Train Steps/Sec: 0.10, Epoch: 1.1075581395348837, LR: 0.001
[2025-04-18 23:41:42] (step=0000214) Train Loss: 0.8022, Train Steps/Sec: 0.02, Epoch: 0.622093023255814, LR: 0.001
[2025-04-18 23:41:59] (step=0000382) Train Loss: 0.8336, Train Steps/Sec: 0.03, Epoch: 1.1104651162790697, LR: 0.001
[2025-04-18 23:42:28] (step=0000383) Train Loss: 0.7231, Train Steps/Sec: 0.03, Epoch: 1.1133720930232558, LR: 0.001
[2025-04-18 23:42:30] (step=0000215) Train Loss: 0.7694, Train Steps/Sec: 0.02, Epoch: 0.625, LR: 0.001
[2025-04-18 23:42:58] (step=0000384) Train Loss: 0.5296, Train Steps/Sec: 0.03, Epoch: 1.1162790697674418, LR: 0.001
[2025-04-18 23:43:18] (step=0000216) Train Loss: 0.7174, Train Steps/Sec: 0.02, Epoch: 0.627906976744186, LR: 0.001
[2025-04-18 23:43:28] (step=0000385) Train Loss: 0.5999, Train Steps/Sec: 0.03, Epoch: 1.119186046511628, LR: 0.001
[2025-04-18 23:43:58] (step=0000386) Train Loss: 0.6812, Train Steps/Sec: 0.03, Epoch: 1.122093023255814, LR: 0.001
[2025-04-18 23:44:07] (step=0000217) Train Loss: 0.8671, Train Steps/Sec: 0.02, Epoch: 0.6308139534883721, LR: 0.001
[2025-04-18 23:44:27] (step=0000387) Train Loss: 0.8298, Train Steps/Sec: 0.03, Epoch: 1.125, LR: 0.001
[2025-04-18 23:44:55] (step=0000218) Train Loss: 0.8110, Train Steps/Sec: 0.02, Epoch: 0.6337209302325582, LR: 0.001
[2025-04-18 23:44:57] (step=0000388) Train Loss: 0.4694, Train Steps/Sec: 0.03, Epoch: 1.127906976744186, LR: 0.001
[2025-04-18 23:45:26] (step=0000389) Train Loss: 0.7912, Train Steps/Sec: 0.03, Epoch: 1.130813953488372, LR: 0.001
[2025-04-18 23:45:43] (step=0000219) Train Loss: 0.3717, Train Steps/Sec: 0.02, Epoch: 0.6366279069767442, LR: 0.001
[2025-04-18 23:45:56] (step=0000390) Train Loss: 0.8105, Train Steps/Sec: 0.03, Epoch: 1.1337209302325582, LR: 0.001
[2025-04-18 23:46:26] (step=0000391) Train Loss: 0.9007, Train Steps/Sec: 0.03, Epoch: 1.1366279069767442, LR: 0.001
[2025-04-18 23:46:31] (step=0000220) Train Loss: 0.7462, Train Steps/Sec: 0.02, Epoch: 0.6395348837209303, LR: 0.001
[2025-04-18 23:46:55] (step=0000392) Train Loss: 0.5581, Train Steps/Sec: 0.03, Epoch: 1.1395348837209303, LR: 0.001
[2025-04-18 23:47:20] (step=0000221) Train Loss: 0.8417, Train Steps/Sec: 0.02, Epoch: 0.6424418604651163, LR: 0.001
[2025-04-18 23:47:25] (step=0000393) Train Loss: 0.8357, Train Steps/Sec: 0.03, Epoch: 1.1424418604651163, LR: 0.001
[2025-04-18 23:47:38] (step=0000222) Train Loss: 0.5923, Train Steps/Sec: 0.05, Epoch: 0.6453488372093024, LR: 0.001
[2025-04-18 23:47:55] (step=0000394) Train Loss: 0.6477, Train Steps/Sec: 0.03, Epoch: 1.1453488372093024, LR: 0.001
[2025-04-18 23:48:24] (step=0000395) Train Loss: 0.7530, Train Steps/Sec: 0.03, Epoch: 1.1482558139534884, LR: 0.001
[2025-04-18 23:48:27] (step=0000223) Train Loss: 0.8407, Train Steps/Sec: 0.02, Epoch: 0.6482558139534884, LR: 0.001
[2025-04-18 23:48:54] (step=0000396) Train Loss: 0.7646, Train Steps/Sec: 0.03, Epoch: 1.1511627906976745, LR: 0.001
[2025-04-18 23:49:15] (step=0000224) Train Loss: 0.8515, Train Steps/Sec: 0.02, Epoch: 0.6511627906976745, LR: 0.001
[2025-04-18 23:49:24] (step=0000397) Train Loss: 0.4688, Train Steps/Sec: 0.03, Epoch: 1.1540697674418605, LR: 0.001
[2025-04-18 23:49:54] (step=0000398) Train Loss: 0.5826, Train Steps/Sec: 0.03, Epoch: 1.1569767441860466, LR: 0.001
[2025-04-18 23:50:03] (step=0000225) Train Loss: 0.8483, Train Steps/Sec: 0.02, Epoch: 0.6540697674418605, LR: 0.001
[2025-04-18 23:50:24] (step=0000399) Train Loss: 0.5890, Train Steps/Sec: 0.03, Epoch: 1.1598837209302326, LR: 0.001
[2025-04-18 23:50:52] (step=0000226) Train Loss: 0.7001, Train Steps/Sec: 0.02, Epoch: 0.6569767441860465, LR: 0.001
[2025-04-18 23:50:55] (step=0000400) Train Loss: 0.3929, Train Steps/Sec: 0.03, Epoch: 1.1627906976744187, LR: 0.001
[2025-04-18 23:51:08] Saved checkpoint to ./results/sfm_based//checkpoints/0000400/
[2025-04-18 23:51:37] (step=0000401) Train Loss: 0.7639, Train Steps/Sec: 0.02, Epoch: 1.1656976744186047, LR: 0.001
[2025-04-18 23:51:40] (step=0000227) Train Loss: 0.8779, Train Steps/Sec: 0.02, Epoch: 0.6598837209302325, LR: 0.001
[2025-04-18 23:52:08] (step=0000402) Train Loss: 0.4594, Train Steps/Sec: 0.03, Epoch: 1.1686046511627908, LR: 0.001
[2025-04-18 23:52:29] (step=0000228) Train Loss: 0.6022, Train Steps/Sec: 0.02, Epoch: 0.6627906976744186, LR: 0.001
[2025-04-18 23:52:39] (step=0000403) Train Loss: 0.8593, Train Steps/Sec: 0.03, Epoch: 1.1715116279069768, LR: 0.001
[2025-04-18 23:52:49] (step=0000404) Train Loss: 0.8760, Train Steps/Sec: 0.10, Epoch: 1.1744186046511629, LR: 0.001
[2025-04-18 23:53:17] (step=0000229) Train Loss: 0.3968, Train Steps/Sec: 0.02, Epoch: 0.6656976744186046, LR: 0.001
[2025-04-18 23:53:21] (step=0000405) Train Loss: 0.4657, Train Steps/Sec: 0.03, Epoch: 1.177325581395349, LR: 0.001
[2025-04-18 23:53:52] (step=0000406) Train Loss: 0.8177, Train Steps/Sec: 0.03, Epoch: 1.180232558139535, LR: 0.001
[2025-04-18 23:54:06] (step=0000230) Train Loss: 0.8706, Train Steps/Sec: 0.02, Epoch: 0.6686046511627907, LR: 0.001
[2025-04-18 23:54:22] (step=0000407) Train Loss: 0.8457, Train Steps/Sec: 0.03, Epoch: 1.183139534883721, LR: 0.001
[2025-04-18 23:54:52] (step=0000408) Train Loss: 0.6958, Train Steps/Sec: 0.03, Epoch: 1.186046511627907, LR: 0.001
[2025-04-18 23:54:54] (step=0000231) Train Loss: 0.5410, Train Steps/Sec: 0.02, Epoch: 0.6715116279069767, LR: 0.001
[2025-04-18 23:55:22] (step=0000409) Train Loss: 0.5569, Train Steps/Sec: 0.03, Epoch: 1.188953488372093, LR: 0.001
[2025-04-18 23:55:43] (step=0000232) Train Loss: 0.5237, Train Steps/Sec: 0.02, Epoch: 0.6744186046511628, LR: 0.001
[2025-04-18 23:55:51] (step=0000410) Train Loss: 0.5043, Train Steps/Sec: 0.03, Epoch: 1.191860465116279, LR: 0.001
[2025-04-18 23:56:20] (step=0000411) Train Loss: 0.7006, Train Steps/Sec: 0.03, Epoch: 1.194767441860465, LR: 0.001
[2025-04-18 23:56:31] (step=0000233) Train Loss: 0.4626, Train Steps/Sec: 0.02, Epoch: 0.6773255813953488, LR: 0.001
[2025-04-18 23:56:50] (step=0000412) Train Loss: 0.8492, Train Steps/Sec: 0.03, Epoch: 1.197674418604651, LR: 0.001
[2025-04-18 23:57:19] (step=0000234) Train Loss: 0.5214, Train Steps/Sec: 0.02, Epoch: 0.6802325581395349, LR: 0.001
[2025-04-18 23:57:20] (step=0000413) Train Loss: 0.8362, Train Steps/Sec: 0.03, Epoch: 1.2005813953488371, LR: 0.001
[2025-04-18 23:57:51] (step=0000414) Train Loss: 0.7159, Train Steps/Sec: 0.03, Epoch: 1.2034883720930232, LR: 0.001
[2025-04-18 23:58:08] (step=0000235) Train Loss: 0.6138, Train Steps/Sec: 0.02, Epoch: 0.6831395348837209, LR: 0.001
[2025-04-18 23:58:22] (step=0000415) Train Loss: 0.5353, Train Steps/Sec: 0.03, Epoch: 1.2063953488372092, LR: 0.001
[2025-04-18 23:58:54] (step=0000416) Train Loss: 0.8110, Train Steps/Sec: 0.03, Epoch: 1.2093023255813953, LR: 0.001
[2025-04-18 23:58:56] (step=0000236) Train Loss: 0.8372, Train Steps/Sec: 0.02, Epoch: 0.686046511627907, LR: 0.001
[2025-04-18 23:59:25] (step=0000417) Train Loss: 0.3834, Train Steps/Sec: 0.03, Epoch: 1.2122093023255813, LR: 0.001
[2025-04-18 23:59:45] (step=0000237) Train Loss: 0.8464, Train Steps/Sec: 0.02, Epoch: 0.688953488372093, LR: 0.001
[2025-04-18 23:59:56] (step=0000418) Train Loss: 0.6819, Train Steps/Sec: 0.03, Epoch: 1.2151162790697674, LR: 0.001
[2025-04-19 00:00:26] (step=0000419) Train Loss: 0.7525, Train Steps/Sec: 0.03, Epoch: 1.2180232558139534, LR: 0.001
[2025-04-19 00:00:33] (step=0000238) Train Loss: 0.7479, Train Steps/Sec: 0.02, Epoch: 0.6918604651162791, LR: 0.001
[2025-04-19 00:00:57] (step=0000420) Train Loss: 0.7763, Train Steps/Sec: 0.03, Epoch: 1.2209302325581395, LR: 0.001
[2025-04-19 00:01:22] (step=0000239) Train Loss: 0.4935, Train Steps/Sec: 0.02, Epoch: 0.6947674418604651, LR: 0.001
[2025-04-19 00:01:28] (step=0000421) Train Loss: 0.7130, Train Steps/Sec: 0.03, Epoch: 1.2238372093023255, LR: 0.001
[2025-04-19 00:01:58] (step=0000422) Train Loss: 0.6568, Train Steps/Sec: 0.03, Epoch: 1.2267441860465116, LR: 0.001
[2025-04-19 00:02:11] (step=0000240) Train Loss: 0.7173, Train Steps/Sec: 0.02, Epoch: 0.6976744186046512, LR: 0.001
[2025-04-19 00:02:27] (step=0000423) Train Loss: 0.8526, Train Steps/Sec: 0.03, Epoch: 1.2296511627906976, LR: 0.001
[2025-04-19 00:02:58] (step=0000424) Train Loss: 0.6459, Train Steps/Sec: 0.03, Epoch: 1.2325581395348837, LR: 0.001
[2025-04-19 00:02:59] (step=0000241) Train Loss: 0.5430, Train Steps/Sec: 0.02, Epoch: 0.7005813953488372, LR: 0.001
[2025-04-19 00:03:28] (step=0000425) Train Loss: 0.4900, Train Steps/Sec: 0.03, Epoch: 1.2354651162790697, LR: 0.001
[2025-04-19 00:03:47] (step=0000242) Train Loss: 0.7654, Train Steps/Sec: 0.02, Epoch: 0.7034883720930233, LR: 0.001
[2025-04-19 00:03:58] (step=0000426) Train Loss: 0.4585, Train Steps/Sec: 0.03, Epoch: 1.2383720930232558, LR: 0.001
[2025-04-19 00:04:29] (step=0000427) Train Loss: 0.6939, Train Steps/Sec: 0.03, Epoch: 1.2412790697674418, LR: 0.001
[2025-04-19 00:04:36] (step=0000243) Train Loss: 0.5193, Train Steps/Sec: 0.02, Epoch: 0.7063953488372093, LR: 0.001
[2025-04-19 00:04:59] (step=0000428) Train Loss: 0.6992, Train Steps/Sec: 0.03, Epoch: 1.244186046511628, LR: 0.001
[2025-04-19 00:05:24] (step=0000244) Train Loss: 0.7290, Train Steps/Sec: 0.02, Epoch: 0.7093023255813954, LR: 0.001
[2025-04-19 00:05:30] (step=0000429) Train Loss: 0.6051, Train Steps/Sec: 0.03, Epoch: 1.247093023255814, LR: 0.001
[2025-04-19 00:06:00] (step=0000430) Train Loss: 0.7166, Train Steps/Sec: 0.03, Epoch: 1.25, LR: 0.001
[2025-04-19 00:06:13] (step=0000245) Train Loss: 0.4458, Train Steps/Sec: 0.02, Epoch: 0.7122093023255814, LR: 0.001
[2025-04-19 00:06:30] (step=0000431) Train Loss: 0.6425, Train Steps/Sec: 0.03, Epoch: 1.252906976744186, LR: 0.001
[2025-04-19 00:07:01] (step=0000432) Train Loss: 0.5814, Train Steps/Sec: 0.03, Epoch: 1.255813953488372, LR: 0.001
[2025-04-19 00:07:01] (step=0000246) Train Loss: 0.7316, Train Steps/Sec: 0.02, Epoch: 0.7151162790697675, LR: 0.001
[2025-04-19 00:07:31] (step=0000433) Train Loss: 0.8119, Train Steps/Sec: 0.03, Epoch: 1.2587209302325582, LR: 0.001
[2025-04-19 00:07:50] (step=0000247) Train Loss: 0.4664, Train Steps/Sec: 0.02, Epoch: 0.7180232558139535, LR: 0.001
[2025-04-19 00:08:01] (step=0000434) Train Loss: 0.7222, Train Steps/Sec: 0.03, Epoch: 1.2616279069767442, LR: 0.001
[2025-04-19 00:08:31] (step=0000435) Train Loss: 0.8443, Train Steps/Sec: 0.03, Epoch: 1.2645348837209303, LR: 0.001
[2025-04-19 00:08:38] (step=0000248) Train Loss: 0.7891, Train Steps/Sec: 0.02, Epoch: 0.7209302325581395, LR: 0.001
[2025-04-19 00:09:02] (step=0000436) Train Loss: 0.8767, Train Steps/Sec: 0.03, Epoch: 1.2674418604651163, LR: 0.001
[2025-04-19 00:09:26] (step=0000249) Train Loss: 0.8459, Train Steps/Sec: 0.02, Epoch: 0.7238372093023255, LR: 0.001
[2025-04-19 00:09:32] (step=0000437) Train Loss: 0.5064, Train Steps/Sec: 0.03, Epoch: 1.2703488372093024, LR: 0.001
[2025-04-19 00:10:02] (step=0000438) Train Loss: 0.8298, Train Steps/Sec: 0.03, Epoch: 1.2732558139534884, LR: 0.001
[2025-04-19 00:10:15] (step=0000250) Train Loss: 0.7741, Train Steps/Sec: 0.02, Epoch: 0.7267441860465116, LR: 0.001
[2025-04-19 00:10:32] (step=0000439) Train Loss: 0.8264, Train Steps/Sec: 0.03, Epoch: 1.2761627906976745, LR: 0.001
[2025-04-19 00:11:03] (step=0000440) Train Loss: 0.5428, Train Steps/Sec: 0.03, Epoch: 1.2790697674418605, LR: 0.001
[2025-04-19 00:11:03] (step=0000251) Train Loss: 0.8653, Train Steps/Sec: 0.02, Epoch: 0.7296511627906976, LR: 0.001
[2025-04-19 00:11:33] (step=0000441) Train Loss: 0.5333, Train Steps/Sec: 0.03, Epoch: 1.2819767441860466, LR: 0.001
[2025-04-19 00:11:52] (step=0000252) Train Loss: 0.4756, Train Steps/Sec: 0.02, Epoch: 0.7325581395348837, LR: 0.001
[2025-04-19 00:12:03] (step=0000442) Train Loss: 0.7240, Train Steps/Sec: 0.03, Epoch: 1.2848837209302326, LR: 0.001
[2025-04-19 00:12:33] (step=0000443) Train Loss: 0.7374, Train Steps/Sec: 0.03, Epoch: 1.2877906976744187, LR: 0.001
[2025-04-19 00:12:41] (step=0000253) Train Loss: 0.4553, Train Steps/Sec: 0.02, Epoch: 0.7354651162790697, LR: 0.001
[2025-04-19 00:13:03] (step=0000444) Train Loss: 0.7640, Train Steps/Sec: 0.03, Epoch: 1.2906976744186047, LR: 0.001
[2025-04-19 00:13:29] (step=0000254) Train Loss: 0.5658, Train Steps/Sec: 0.02, Epoch: 0.7383720930232558, LR: 0.001
[2025-04-19 00:13:33] (step=0000445) Train Loss: 0.4268, Train Steps/Sec: 0.03, Epoch: 1.2936046511627908, LR: 0.001
[2025-04-19 00:14:03] (step=0000446) Train Loss: 0.5971, Train Steps/Sec: 0.03, Epoch: 1.2965116279069768, LR: 0.001
[2025-04-19 00:14:17] (step=0000255) Train Loss: 0.4352, Train Steps/Sec: 0.02, Epoch: 0.7412790697674418, LR: 0.001
[2025-04-19 00:14:33] (step=0000447) Train Loss: 0.8083, Train Steps/Sec: 0.03, Epoch: 1.2994186046511629, LR: 0.001
[2025-04-19 00:15:03] (step=0000448) Train Loss: 0.6540, Train Steps/Sec: 0.03, Epoch: 1.302325581395349, LR: 0.001
[2025-04-19 00:15:06] (step=0000256) Train Loss: 0.4048, Train Steps/Sec: 0.02, Epoch: 0.7441860465116279, LR: 0.001
[2025-04-19 00:15:34] (step=0000449) Train Loss: 0.6625, Train Steps/Sec: 0.03, Epoch: 1.305232558139535, LR: 0.001
[2025-04-19 00:15:54] (step=0000257) Train Loss: 0.6242, Train Steps/Sec: 0.02, Epoch: 0.747093023255814, LR: 0.001
[2025-04-19 00:16:04] (step=0000450) Train Loss: 0.8744, Train Steps/Sec: 0.03, Epoch: 1.308139534883721, LR: 0.001
[2025-04-19 00:16:34] (step=0000451) Train Loss: 0.7668, Train Steps/Sec: 0.03, Epoch: 1.311046511627907, LR: 0.001
[2025-04-19 00:16:43] (step=0000258) Train Loss: 0.5556, Train Steps/Sec: 0.02, Epoch: 0.75, LR: 0.001
[2025-04-19 00:17:04] (step=0000452) Train Loss: 0.7313, Train Steps/Sec: 0.03, Epoch: 1.313953488372093, LR: 0.001
[2025-04-19 00:17:31] (step=0000259) Train Loss: 0.8125, Train Steps/Sec: 0.02, Epoch: 0.752906976744186, LR: 0.001
[2025-04-19 00:17:34] (step=0000453) Train Loss: 0.5383, Train Steps/Sec: 0.03, Epoch: 1.316860465116279, LR: 0.001
[2025-04-19 00:18:05] (step=0000454) Train Loss: 0.5860, Train Steps/Sec: 0.03, Epoch: 1.319767441860465, LR: 0.001
[2025-04-19 00:18:20] (step=0000260) Train Loss: 0.8447, Train Steps/Sec: 0.02, Epoch: 0.7558139534883721, LR: 0.001
[2025-04-19 00:18:35] (step=0000455) Train Loss: 0.4846, Train Steps/Sec: 0.03, Epoch: 1.322674418604651, LR: 0.001
[2025-04-19 00:19:05] (step=0000456) Train Loss: 0.7902, Train Steps/Sec: 0.03, Epoch: 1.3255813953488371, LR: 0.001
[2025-04-19 00:19:08] (step=0000261) Train Loss: 0.7948, Train Steps/Sec: 0.02, Epoch: 0.7587209302325582, LR: 0.001
[2025-04-19 00:19:35] (step=0000457) Train Loss: 0.5183, Train Steps/Sec: 0.03, Epoch: 1.3284883720930232, LR: 0.001
[2025-04-19 00:19:57] (step=0000262) Train Loss: 0.6007, Train Steps/Sec: 0.02, Epoch: 0.7616279069767442, LR: 0.001
[2025-04-19 00:20:05] (step=0000458) Train Loss: 0.8173, Train Steps/Sec: 0.03, Epoch: 1.3313953488372092, LR: 0.001
[2025-04-19 00:20:35] (step=0000459) Train Loss: 0.7232, Train Steps/Sec: 0.03, Epoch: 1.3343023255813953, LR: 0.001
[2025-04-19 00:20:45] (step=0000263) Train Loss: 0.5103, Train Steps/Sec: 0.02, Epoch: 0.7645348837209303, LR: 0.001
[2025-04-19 00:21:05] (step=0000460) Train Loss: 0.4883, Train Steps/Sec: 0.03, Epoch: 1.3372093023255813, LR: 0.001
[2025-04-19 00:21:15] (step=0000461) Train Loss: 0.6302, Train Steps/Sec: 0.10, Epoch: 1.3401162790697674, LR: 0.001
[2025-04-19 00:21:34] (step=0000264) Train Loss: 0.6193, Train Steps/Sec: 0.02, Epoch: 0.7674418604651163, LR: 0.001
[2025-04-19 00:21:45] (step=0000462) Train Loss: 0.8916, Train Steps/Sec: 0.03, Epoch: 1.3430232558139534, LR: 0.001
[2025-04-19 00:22:15] (step=0000463) Train Loss: 0.8432, Train Steps/Sec: 0.03, Epoch: 1.3459302325581395, LR: 0.001
[2025-04-19 00:22:22] (step=0000265) Train Loss: 0.8292, Train Steps/Sec: 0.02, Epoch: 0.7703488372093024, LR: 0.001
[2025-04-19 00:22:45] (step=0000464) Train Loss: 0.5843, Train Steps/Sec: 0.03, Epoch: 1.3488372093023255, LR: 0.001
[2025-04-19 00:23:11] (step=0000266) Train Loss: 0.7956, Train Steps/Sec: 0.02, Epoch: 0.7732558139534884, LR: 0.001
[2025-04-19 00:23:16] (step=0000465) Train Loss: 0.8227, Train Steps/Sec: 0.03, Epoch: 1.3517441860465116, LR: 0.001
[2025-04-19 00:23:46] (step=0000466) Train Loss: 0.5938, Train Steps/Sec: 0.03, Epoch: 1.3546511627906976, LR: 0.001
[2025-04-19 00:23:59] (step=0000267) Train Loss: 0.4087, Train Steps/Sec: 0.02, Epoch: 0.7761627906976745, LR: 0.001
[2025-04-19 00:24:16] (step=0000467) Train Loss: 0.6708, Train Steps/Sec: 0.03, Epoch: 1.3575581395348837, LR: 0.001
[2025-04-19 00:24:46] (step=0000468) Train Loss: 0.5349, Train Steps/Sec: 0.03, Epoch: 1.3604651162790697, LR: 0.001
[2025-04-19 00:24:48] (step=0000268) Train Loss: 0.7675, Train Steps/Sec: 0.02, Epoch: 0.7790697674418605, LR: 0.001
[2025-04-19 00:25:17] (step=0000469) Train Loss: 0.8688, Train Steps/Sec: 0.03, Epoch: 1.3633720930232558, LR: 0.001
[2025-04-19 00:25:36] (step=0000269) Train Loss: 0.8239, Train Steps/Sec: 0.02, Epoch: 0.7819767441860465, LR: 0.001
[2025-04-19 00:25:47] (step=0000470) Train Loss: 0.7844, Train Steps/Sec: 0.03, Epoch: 1.3662790697674418, LR: 0.001
[2025-04-19 00:26:17] (step=0000471) Train Loss: 0.4331, Train Steps/Sec: 0.03, Epoch: 1.369186046511628, LR: 0.001
[2025-04-19 00:26:25] (step=0000270) Train Loss: 0.8490, Train Steps/Sec: 0.02, Epoch: 0.7848837209302325, LR: 0.001
[2025-04-19 00:26:47] (step=0000472) Train Loss: 0.5068, Train Steps/Sec: 0.03, Epoch: 1.372093023255814, LR: 0.001
[2025-04-19 00:27:14] (step=0000271) Train Loss: 0.3011, Train Steps/Sec: 0.02, Epoch: 0.7877906976744186, LR: 0.001
[2025-04-19 00:27:17] (step=0000473) Train Loss: 0.6651, Train Steps/Sec: 0.03, Epoch: 1.375, LR: 0.001
[2025-04-19 00:27:47] (step=0000474) Train Loss: 0.8244, Train Steps/Sec: 0.03, Epoch: 1.377906976744186, LR: 0.001
[2025-04-19 00:28:02] (step=0000272) Train Loss: 0.4176, Train Steps/Sec: 0.02, Epoch: 0.7906976744186046, LR: 0.001
[2025-04-19 00:28:18] (step=0000475) Train Loss: 0.5457, Train Steps/Sec: 0.03, Epoch: 1.380813953488372, LR: 0.001
[2025-04-19 00:28:48] (step=0000476) Train Loss: 0.9435, Train Steps/Sec: 0.03, Epoch: 1.3837209302325582, LR: 0.001
[2025-04-19 00:28:50] (step=0000273) Train Loss: 0.8139, Train Steps/Sec: 0.02, Epoch: 0.7936046511627907, LR: 0.001
[2025-04-19 00:29:18] (step=0000477) Train Loss: 0.8155, Train Steps/Sec: 0.03, Epoch: 1.3866279069767442, LR: 0.001
[2025-04-19 00:29:39] (step=0000274) Train Loss: 0.7848, Train Steps/Sec: 0.02, Epoch: 0.7965116279069767, LR: 0.001
[2025-04-19 00:29:48] (step=0000478) Train Loss: 0.7694, Train Steps/Sec: 0.03, Epoch: 1.3895348837209303, LR: 0.001
[2025-04-19 00:30:19] (step=0000479) Train Loss: 0.8954, Train Steps/Sec: 0.03, Epoch: 1.3924418604651163, LR: 0.001
[2025-04-19 00:30:27] (step=0000275) Train Loss: 0.8034, Train Steps/Sec: 0.02, Epoch: 0.7994186046511628, LR: 0.001
[2025-04-19 00:30:49] (step=0000480) Train Loss: 0.7503, Train Steps/Sec: 0.03, Epoch: 1.3953488372093024, LR: 0.001
[2025-04-19 00:31:16] (step=0000276) Train Loss: 0.4261, Train Steps/Sec: 0.02, Epoch: 0.8023255813953488, LR: 0.001
[2025-04-19 00:31:19] (step=0000481) Train Loss: 0.7326, Train Steps/Sec: 0.03, Epoch: 1.3982558139534884, LR: 0.001
[2025-04-19 00:31:49] (step=0000482) Train Loss: 0.6012, Train Steps/Sec: 0.03, Epoch: 1.4011627906976745, LR: 0.001
[2025-04-19 00:32:04] (step=0000277) Train Loss: 0.8702, Train Steps/Sec: 0.02, Epoch: 0.8052325581395349, LR: 0.001
[2025-04-19 00:32:20] (step=0000483) Train Loss: 0.8252, Train Steps/Sec: 0.03, Epoch: 1.4040697674418605, LR: 0.001
[2025-04-19 00:32:50] (step=0000484) Train Loss: 0.7084, Train Steps/Sec: 0.03, Epoch: 1.4069767441860466, LR: 0.001
[2025-04-19 00:32:53] (step=0000278) Train Loss: 0.5373, Train Steps/Sec: 0.02, Epoch: 0.8081395348837209, LR: 0.001
[2025-04-19 00:33:20] (step=0000485) Train Loss: 0.7570, Train Steps/Sec: 0.03, Epoch: 1.4098837209302326, LR: 0.001
[2025-04-19 00:33:41] (step=0000279) Train Loss: 0.8098, Train Steps/Sec: 0.02, Epoch: 0.811046511627907, LR: 0.001
[2025-04-19 00:33:50] (step=0000486) Train Loss: 0.7717, Train Steps/Sec: 0.03, Epoch: 1.4127906976744187, LR: 0.001
[2025-04-19 00:34:20] (step=0000487) Train Loss: 0.8403, Train Steps/Sec: 0.03, Epoch: 1.4156976744186047, LR: 0.001
[2025-04-19 00:34:30] (step=0000280) Train Loss: 0.5929, Train Steps/Sec: 0.02, Epoch: 0.813953488372093, LR: 0.001
[2025-04-19 00:34:50] (step=0000488) Train Loss: 0.5801, Train Steps/Sec: 0.03, Epoch: 1.4186046511627908, LR: 0.001
[2025-04-19 00:35:18] (step=0000281) Train Loss: 0.7587, Train Steps/Sec: 0.02, Epoch: 0.8168604651162791, LR: 0.001
[2025-04-19 00:35:21] (step=0000489) Train Loss: 0.6728, Train Steps/Sec: 0.03, Epoch: 1.4215116279069768, LR: 0.001
[2025-04-19 00:35:51] (step=0000490) Train Loss: 0.5523, Train Steps/Sec: 0.03, Epoch: 1.4244186046511629, LR: 0.001
[2025-04-19 00:36:07] (step=0000282) Train Loss: 0.6024, Train Steps/Sec: 0.02, Epoch: 0.8197674418604651, LR: 0.001
[2025-04-19 00:36:21] (step=0000491) Train Loss: 0.6666, Train Steps/Sec: 0.03, Epoch: 1.427325581395349, LR: 0.001
[2025-04-19 00:36:52] (step=0000492) Train Loss: 0.8960, Train Steps/Sec: 0.03, Epoch: 1.430232558139535, LR: 0.001
[2025-04-19 00:36:55] (step=0000283) Train Loss: 0.7605, Train Steps/Sec: 0.02, Epoch: 0.8226744186046512, LR: 0.001
[2025-04-19 00:37:22] (step=0000493) Train Loss: 0.5012, Train Steps/Sec: 0.03, Epoch: 1.433139534883721, LR: 0.001
[2025-04-19 00:37:44] (step=0000284) Train Loss: 0.8483, Train Steps/Sec: 0.02, Epoch: 0.8255813953488372, LR: 0.001
[2025-04-19 00:37:51] (step=0000494) Train Loss: 0.5465, Train Steps/Sec: 0.03, Epoch: 1.436046511627907, LR: 0.001
[2025-04-19 00:38:21] (step=0000495) Train Loss: 0.8509, Train Steps/Sec: 0.03, Epoch: 1.438953488372093, LR: 0.001
[2025-04-19 00:38:32] (step=0000285) Train Loss: 0.8387, Train Steps/Sec: 0.02, Epoch: 0.8284883720930233, LR: 0.001
[2025-04-19 00:38:51] (step=0000496) Train Loss: 0.6362, Train Steps/Sec: 0.03, Epoch: 1.441860465116279, LR: 0.001
[2025-04-19 00:39:21] (step=0000286) Train Loss: 0.7992, Train Steps/Sec: 0.02, Epoch: 0.8313953488372093, LR: 0.001
[2025-04-19 00:39:22] (step=0000497) Train Loss: 0.6351, Train Steps/Sec: 0.03, Epoch: 1.444767441860465, LR: 0.001
[2025-04-19 00:39:52] (step=0000498) Train Loss: 0.8655, Train Steps/Sec: 0.03, Epoch: 1.447674418604651, LR: 0.001
[2025-04-19 00:40:09] (step=0000287) Train Loss: 0.7890, Train Steps/Sec: 0.02, Epoch: 0.8343023255813954, LR: 0.001
[2025-04-19 00:40:22] (step=0000499) Train Loss: 0.5582, Train Steps/Sec: 0.03, Epoch: 1.4505813953488371, LR: 0.001
[2025-04-19 00:40:52] (step=0000500) Train Loss: 0.7152, Train Steps/Sec: 0.03, Epoch: 1.4534883720930232, LR: 0.001
[2025-04-19 00:40:57] (step=0000288) Train Loss: 0.6839, Train Steps/Sec: 0.02, Epoch: 0.8372093023255814, LR: 0.001
[2025-04-19 00:41:23] (step=0000501) Train Loss: 0.5913, Train Steps/Sec: 0.03, Epoch: 1.4563953488372092, LR: 0.001
[2025-04-19 00:41:46] (step=0000289) Train Loss: 0.4877, Train Steps/Sec: 0.02, Epoch: 0.8401162790697675, LR: 0.001
[2025-04-19 00:41:53] (step=0000502) Train Loss: 0.5086, Train Steps/Sec: 0.03, Epoch: 1.4593023255813953, LR: 0.001
[2025-04-19 00:42:04] (step=0000290) Train Loss: 0.4670, Train Steps/Sec: 0.05, Epoch: 0.8430232558139535, LR: 0.001
[2025-04-19 00:42:24] (step=0000503) Train Loss: 0.4901, Train Steps/Sec: 0.03, Epoch: 1.4622093023255813, LR: 0.001
[2025-04-19 00:42:53] (step=0000291) Train Loss: 0.6934, Train Steps/Sec: 0.02, Epoch: 0.8459302325581395, LR: 0.001
[2025-04-19 00:42:54] (step=0000504) Train Loss: 0.4905, Train Steps/Sec: 0.03, Epoch: 1.4651162790697674, LR: 0.001
[2025-04-19 00:43:24] (step=0000505) Train Loss: 0.7795, Train Steps/Sec: 0.03, Epoch: 1.4680232558139534, LR: 0.001
[2025-04-19 00:43:41] (step=0000292) Train Loss: 0.6490, Train Steps/Sec: 0.02, Epoch: 0.8488372093023255, LR: 0.001
[2025-04-19 00:43:54] (step=0000506) Train Loss: 0.8407, Train Steps/Sec: 0.03, Epoch: 1.4709302325581395, LR: 0.001
[2025-04-19 00:44:24] (step=0000507) Train Loss: 0.4944, Train Steps/Sec: 0.03, Epoch: 1.4738372093023255, LR: 0.001
[2025-04-19 00:44:29] (step=0000293) Train Loss: 0.3991, Train Steps/Sec: 0.02, Epoch: 0.8517441860465116, LR: 0.001
[2025-04-19 00:44:55] (step=0000508) Train Loss: 0.8846, Train Steps/Sec: 0.03, Epoch: 1.4767441860465116, LR: 0.001
[2025-04-19 00:45:18] (step=0000294) Train Loss: 0.8266, Train Steps/Sec: 0.02, Epoch: 0.8546511627906976, LR: 0.001
[2025-04-19 00:45:25] (step=0000509) Train Loss: 0.7202, Train Steps/Sec: 0.03, Epoch: 1.4796511627906976, LR: 0.001
[2025-04-19 00:45:55] (step=0000510) Train Loss: 0.6767, Train Steps/Sec: 0.03, Epoch: 1.4825581395348837, LR: 0.001
[2025-04-19 00:46:06] (step=0000295) Train Loss: 0.6534, Train Steps/Sec: 0.02, Epoch: 0.8575581395348837, LR: 0.001
[2025-04-19 00:46:25] (step=0000511) Train Loss: 0.8065, Train Steps/Sec: 0.03, Epoch: 1.4854651162790697, LR: 0.001
[2025-04-19 00:46:55] (step=0000296) Train Loss: 0.4560, Train Steps/Sec: 0.02, Epoch: 0.8604651162790697, LR: 0.001
[2025-04-19 00:46:55] (step=0000512) Train Loss: 0.5955, Train Steps/Sec: 0.03, Epoch: 1.4883720930232558, LR: 0.001
[2025-04-19 00:47:25] (step=0000513) Train Loss: 0.6294, Train Steps/Sec: 0.03, Epoch: 1.4912790697674418, LR: 0.001
[2025-04-19 00:47:43] (step=0000297) Train Loss: 0.6485, Train Steps/Sec: 0.02, Epoch: 0.8633720930232558, LR: 0.001
[2025-04-19 00:47:56] (step=0000514) Train Loss: 0.5252, Train Steps/Sec: 0.03, Epoch: 1.494186046511628, LR: 0.001
[2025-04-19 00:48:26] (step=0000515) Train Loss: 0.6228, Train Steps/Sec: 0.03, Epoch: 1.497093023255814, LR: 0.001
[2025-04-19 00:48:32] (step=0000298) Train Loss: 0.6478, Train Steps/Sec: 0.02, Epoch: 0.8662790697674418, LR: 0.001
[2025-04-19 00:48:55] (step=0000516) Train Loss: 0.8028, Train Steps/Sec: 0.03, Epoch: 1.5, LR: 0.001
[2025-04-19 00:49:20] (step=0000299) Train Loss: 0.6038, Train Steps/Sec: 0.02, Epoch: 0.8691860465116279, LR: 0.001
[2025-04-19 00:49:25] (step=0000517) Train Loss: 0.8048, Train Steps/Sec: 0.03, Epoch: 1.502906976744186, LR: 0.001
[2025-04-19 00:49:39] (step=0000300) Train Loss: 0.8315, Train Steps/Sec: 0.05, Epoch: 0.872093023255814, LR: 0.001
[2025-04-19 00:49:55] (step=0000518) Train Loss: 0.7550, Train Steps/Sec: 0.03, Epoch: 1.505813953488372, LR: 0.001
[2025-04-19 00:50:24] (step=0000519) Train Loss: 0.6792, Train Steps/Sec: 0.03, Epoch: 1.5087209302325582, LR: 0.001
[2025-04-19 00:50:27] (step=0000301) Train Loss: 0.7361, Train Steps/Sec: 0.02, Epoch: 0.875, LR: 0.001
[2025-04-19 00:50:54] (step=0000520) Train Loss: 0.7690, Train Steps/Sec: 0.03, Epoch: 1.5116279069767442, LR: 0.001
[2025-04-19 00:51:16] (step=0000302) Train Loss: 0.7333, Train Steps/Sec: 0.02, Epoch: 0.877906976744186, LR: 0.001
[2025-04-19 00:51:24] (step=0000521) Train Loss: 0.6230, Train Steps/Sec: 0.03, Epoch: 1.5145348837209303, LR: 0.001
[2025-04-19 00:51:53] (step=0000522) Train Loss: 0.6956, Train Steps/Sec: 0.03, Epoch: 1.5174418604651163, LR: 0.001
[2025-04-19 00:52:04] (step=0000303) Train Loss: 0.3721, Train Steps/Sec: 0.02, Epoch: 0.8808139534883721, LR: 0.001
[2025-04-19 00:52:23] (step=0000523) Train Loss: 0.6087, Train Steps/Sec: 0.03, Epoch: 1.5203488372093024, LR: 0.001
[2025-04-19 00:52:52] (step=0000304) Train Loss: 0.8508, Train Steps/Sec: 0.02, Epoch: 0.8837209302325582, LR: 0.001
[2025-04-19 00:52:53] (step=0000524) Train Loss: 0.5551, Train Steps/Sec: 0.03, Epoch: 1.5232558139534884, LR: 0.001
[2025-04-19 00:53:23] (step=0000525) Train Loss: 0.7750, Train Steps/Sec: 0.03, Epoch: 1.5261627906976745, LR: 0.001
[2025-04-19 00:53:40] (step=0000305) Train Loss: 0.7813, Train Steps/Sec: 0.02, Epoch: 0.8866279069767442, LR: 0.001
[2025-04-19 00:53:52] (step=0000526) Train Loss: 0.6994, Train Steps/Sec: 0.03, Epoch: 1.5290697674418605, LR: 0.001
[2025-04-19 00:54:22] (step=0000527) Train Loss: 0.5731, Train Steps/Sec: 0.03, Epoch: 1.5319767441860466, LR: 0.001
[2025-04-19 00:54:29] (step=0000306) Train Loss: 0.6725, Train Steps/Sec: 0.02, Epoch: 0.8895348837209303, LR: 0.001
[2025-04-19 00:54:52] (step=0000528) Train Loss: 0.7342, Train Steps/Sec: 0.03, Epoch: 1.5348837209302326, LR: 0.001
[2025-04-19 00:55:17] (step=0000307) Train Loss: 0.8369, Train Steps/Sec: 0.02, Epoch: 0.8924418604651163, LR: 0.001
[2025-04-19 00:55:21] (step=0000529) Train Loss: 0.8556, Train Steps/Sec: 0.03, Epoch: 1.5377906976744187, LR: 0.001
[2025-04-19 00:55:51] (step=0000530) Train Loss: 0.8746, Train Steps/Sec: 0.03, Epoch: 1.5406976744186047, LR: 0.001
[2025-04-19 00:56:05] (step=0000308) Train Loss: 0.4649, Train Steps/Sec: 0.02, Epoch: 0.8953488372093024, LR: 0.001
[2025-04-19 00:56:21] (step=0000531) Train Loss: 0.5798, Train Steps/Sec: 0.03, Epoch: 1.5436046511627908, LR: 0.001
[2025-04-19 00:56:50] (step=0000532) Train Loss: 0.5073, Train Steps/Sec: 0.03, Epoch: 1.5465116279069768, LR: 0.001
[2025-04-19 00:56:53] (step=0000309) Train Loss: 0.8074, Train Steps/Sec: 0.02, Epoch: 0.8982558139534884, LR: 0.001
[2025-04-19 00:57:20] (step=0000533) Train Loss: 0.8635, Train Steps/Sec: 0.03, Epoch: 1.5494186046511629, LR: 0.001
[2025-04-19 00:57:42] (step=0000310) Train Loss: 0.5655, Train Steps/Sec: 0.02, Epoch: 0.9011627906976745, LR: 0.001
[2025-04-19 00:57:49] (step=0000534) Train Loss: 0.7808, Train Steps/Sec: 0.03, Epoch: 1.552325581395349, LR: 0.001
[2025-04-19 00:58:19] (step=0000535) Train Loss: 0.6488, Train Steps/Sec: 0.03, Epoch: 1.555232558139535, LR: 0.001
[2025-04-19 00:58:30] (step=0000311) Train Loss: 0.8539, Train Steps/Sec: 0.02, Epoch: 0.9040697674418605, LR: 0.001
[2025-04-19 00:58:49] (step=0000536) Train Loss: 0.7864, Train Steps/Sec: 0.03, Epoch: 1.558139534883721, LR: 0.001
[2025-04-19 00:59:18] (step=0000312) Train Loss: 0.7417, Train Steps/Sec: 0.02, Epoch: 0.9069767441860465, LR: 0.001
[2025-04-19 00:59:19] (step=0000537) Train Loss: 0.5104, Train Steps/Sec: 0.03, Epoch: 1.561046511627907, LR: 0.001
[2025-04-19 00:59:49] (step=0000538) Train Loss: 0.7185, Train Steps/Sec: 0.03, Epoch: 1.563953488372093, LR: 0.001
[2025-04-19 01:00:06] (step=0000313) Train Loss: 0.4378, Train Steps/Sec: 0.02, Epoch: 0.9098837209302325, LR: 0.001
[2025-04-19 01:00:18] (step=0000539) Train Loss: 0.6867, Train Steps/Sec: 0.03, Epoch: 1.566860465116279, LR: 0.001
[2025-04-19 01:00:48] (step=0000540) Train Loss: 0.8695, Train Steps/Sec: 0.03, Epoch: 1.569767441860465, LR: 0.001
[2025-04-19 01:00:55] (step=0000314) Train Loss: 0.4099, Train Steps/Sec: 0.02, Epoch: 0.9127906976744186, LR: 0.001
[2025-04-19 01:01:17] (step=0000541) Train Loss: 0.8965, Train Steps/Sec: 0.03, Epoch: 1.572674418604651, LR: 0.001
[2025-04-19 01:01:43] (step=0000315) Train Loss: 0.4557, Train Steps/Sec: 0.02, Epoch: 0.9156976744186046, LR: 0.001
[2025-04-19 01:01:47] (step=0000542) Train Loss: 0.4564, Train Steps/Sec: 0.03, Epoch: 1.5755813953488371, LR: 0.001
[2025-04-19 01:02:17] (step=0000543) Train Loss: 0.5750, Train Steps/Sec: 0.03, Epoch: 1.5784883720930232, LR: 0.001
[2025-04-19 01:02:32] (step=0000316) Train Loss: 0.7332, Train Steps/Sec: 0.02, Epoch: 0.9186046511627907, LR: 0.001
[2025-04-19 01:02:46] (step=0000544) Train Loss: 0.7551, Train Steps/Sec: 0.03, Epoch: 1.5813953488372092, LR: 0.001
[2025-04-19 01:03:16] (step=0000545) Train Loss: 0.8349, Train Steps/Sec: 0.03, Epoch: 1.5843023255813953, LR: 0.001
[2025-04-19 01:03:20] (step=0000317) Train Loss: 0.7721, Train Steps/Sec: 0.02, Epoch: 0.9215116279069767, LR: 0.001
[2025-04-19 01:03:46] (step=0000546) Train Loss: 0.4342, Train Steps/Sec: 0.03, Epoch: 1.5872093023255813, LR: 0.001
[2025-04-19 01:04:08] (step=0000318) Train Loss: 0.5986, Train Steps/Sec: 0.02, Epoch: 0.9244186046511628, LR: 0.001
[2025-04-19 01:04:15] (step=0000547) Train Loss: 0.4558, Train Steps/Sec: 0.03, Epoch: 1.5901162790697674, LR: 0.001
[2025-04-19 01:04:45] (step=0000548) Train Loss: 0.8350, Train Steps/Sec: 0.03, Epoch: 1.5930232558139534, LR: 0.001
[2025-04-19 01:04:56] (step=0000319) Train Loss: 0.6457, Train Steps/Sec: 0.02, Epoch: 0.9273255813953488, LR: 0.001
[2025-04-19 01:05:15] (step=0000549) Train Loss: 0.5432, Train Steps/Sec: 0.03, Epoch: 1.5959302325581395, LR: 0.001
[2025-04-19 01:05:44] (step=0000550) Train Loss: 0.5853, Train Steps/Sec: 0.03, Epoch: 1.5988372093023255, LR: 0.001
[2025-04-19 01:05:45] (step=0000320) Train Loss: 0.8022, Train Steps/Sec: 0.02, Epoch: 0.9302325581395349, LR: 0.001
[2025-04-19 01:06:14] (step=0000551) Train Loss: 0.7783, Train Steps/Sec: 0.03, Epoch: 1.6017441860465116, LR: 0.001
[2025-04-19 01:06:33] (step=0000321) Train Loss: 0.5893, Train Steps/Sec: 0.02, Epoch: 0.9331395348837209, LR: 0.001
[2025-04-19 01:06:44] (step=0000552) Train Loss: 0.5075, Train Steps/Sec: 0.03, Epoch: 1.6046511627906976, LR: 0.001
[2025-04-19 01:06:52] (step=0000322) Train Loss: 0.7667, Train Steps/Sec: 0.05, Epoch: 0.936046511627907, LR: 0.001
[2025-04-19 01:07:14] (step=0000553) Train Loss: 0.4208, Train Steps/Sec: 0.03, Epoch: 1.6075581395348837, LR: 0.001
[2025-04-19 01:07:40] (step=0000323) Train Loss: 0.5287, Train Steps/Sec: 0.02, Epoch: 0.938953488372093, LR: 0.001
[2025-04-19 01:07:45] (step=0000554) Train Loss: 0.5323, Train Steps/Sec: 0.03, Epoch: 1.6104651162790697, LR: 0.001
[2025-04-19 01:08:15] (step=0000555) Train Loss: 0.5655, Train Steps/Sec: 0.03, Epoch: 1.6133720930232558, LR: 0.001
[2025-04-19 01:08:29] (step=0000324) Train Loss: 0.7706, Train Steps/Sec: 0.02, Epoch: 0.9418604651162791, LR: 0.001
[2025-04-19 01:08:46] (step=0000556) Train Loss: 0.8224, Train Steps/Sec: 0.03, Epoch: 1.6162790697674418, LR: 0.001
[2025-04-19 01:09:17] (step=0000325) Train Loss: 0.8390, Train Steps/Sec: 0.02, Epoch: 0.9447674418604651, LR: 0.001
[2025-04-19 01:09:17] (step=0000557) Train Loss: 0.8745, Train Steps/Sec: 0.03, Epoch: 1.619186046511628, LR: 0.001
[2025-04-19 01:09:48] (step=0000558) Train Loss: 0.4839, Train Steps/Sec: 0.03, Epoch: 1.622093023255814, LR: 0.001
[2025-04-19 01:10:05] (step=0000326) Train Loss: 0.6263, Train Steps/Sec: 0.02, Epoch: 0.9476744186046512, LR: 0.001
[2025-04-19 01:10:19] (step=0000559) Train Loss: 0.5655, Train Steps/Sec: 0.03, Epoch: 1.625, LR: 0.001
[2025-04-19 01:10:50] (step=0000560) Train Loss: 0.7892, Train Steps/Sec: 0.03, Epoch: 1.627906976744186, LR: 0.001
[2025-04-19 01:10:54] (step=0000327) Train Loss: 0.5799, Train Steps/Sec: 0.02, Epoch: 0.9505813953488372, LR: 0.001
[2025-04-19 01:11:21] (step=0000561) Train Loss: 0.8775, Train Steps/Sec: 0.03, Epoch: 1.630813953488372, LR: 0.001
[2025-04-19 01:11:42] (step=0000328) Train Loss: 0.5483, Train Steps/Sec: 0.02, Epoch: 0.9534883720930233, LR: 0.001
[2025-04-19 01:11:52] (step=0000562) Train Loss: 0.8431, Train Steps/Sec: 0.03, Epoch: 1.6337209302325582, LR: 0.001
[2025-04-19 01:12:23] (step=0000563) Train Loss: 0.5794, Train Steps/Sec: 0.03, Epoch: 1.6366279069767442, LR: 0.001
[2025-04-19 01:12:31] (step=0000329) Train Loss: 0.5583, Train Steps/Sec: 0.02, Epoch: 0.9563953488372093, LR: 0.001
[2025-04-19 01:12:53] (step=0000564) Train Loss: 0.8685, Train Steps/Sec: 0.03, Epoch: 1.6395348837209303, LR: 0.001
[2025-04-19 01:13:19] (step=0000330) Train Loss: 0.8089, Train Steps/Sec: 0.02, Epoch: 0.9593023255813954, LR: 0.001
[2025-04-19 01:13:23] (step=0000565) Train Loss: 0.5663, Train Steps/Sec: 0.03, Epoch: 1.6424418604651163, LR: 0.001
[2025-04-19 01:13:53] (step=0000566) Train Loss: 0.5922, Train Steps/Sec: 0.03, Epoch: 1.6453488372093024, LR: 0.001
[2025-04-19 01:14:08] (step=0000331) Train Loss: 0.4097, Train Steps/Sec: 0.02, Epoch: 0.9622093023255814, LR: 0.001
[2025-04-19 01:14:23] (step=0000567) Train Loss: 0.7458, Train Steps/Sec: 0.03, Epoch: 1.6482558139534884, LR: 0.001
[2025-04-19 01:14:53] (step=0000568) Train Loss: 0.8601, Train Steps/Sec: 0.03, Epoch: 1.6511627906976745, LR: 0.001
[2025-04-19 01:14:56] (step=0000332) Train Loss: 0.6942, Train Steps/Sec: 0.02, Epoch: 0.9651162790697675, LR: 0.001
[2025-04-19 01:15:24] (step=0000569) Train Loss: 0.8297, Train Steps/Sec: 0.03, Epoch: 1.6540697674418605, LR: 0.001
[2025-04-19 01:15:45] (step=0000333) Train Loss: 0.7950, Train Steps/Sec: 0.02, Epoch: 0.9680232558139535, LR: 0.001
[2025-04-19 01:15:54] (step=0000570) Train Loss: 0.7689, Train Steps/Sec: 0.03, Epoch: 1.6569767441860466, LR: 0.001
[2025-04-19 01:16:24] (step=0000571) Train Loss: 0.6536, Train Steps/Sec: 0.03, Epoch: 1.6598837209302326, LR: 0.001
[2025-04-19 01:16:33] (step=0000334) Train Loss: 0.3971, Train Steps/Sec: 0.02, Epoch: 0.9709302325581395, LR: 0.001
[2025-04-19 01:16:54] (step=0000572) Train Loss: 0.5881, Train Steps/Sec: 0.03, Epoch: 1.6627906976744187, LR: 0.001
[2025-04-19 01:17:21] (step=0000335) Train Loss: 0.5090, Train Steps/Sec: 0.02, Epoch: 0.9738372093023255, LR: 0.001
[2025-04-19 01:17:24] (step=0000573) Train Loss: 0.4174, Train Steps/Sec: 0.03, Epoch: 1.6656976744186047, LR: 0.001
[2025-04-19 01:17:55] (step=0000574) Train Loss: 0.7361, Train Steps/Sec: 0.03, Epoch: 1.6686046511627908, LR: 0.001
[2025-04-19 01:18:10] (step=0000336) Train Loss: 0.8665, Train Steps/Sec: 0.02, Epoch: 0.9767441860465116, LR: 0.001
[2025-04-19 01:18:25] (step=0000575) Train Loss: 0.7868, Train Steps/Sec: 0.03, Epoch: 1.6715116279069768, LR: 0.001
[2025-04-19 01:18:55] (step=0000576) Train Loss: 0.8670, Train Steps/Sec: 0.03, Epoch: 1.6744186046511629, LR: 0.001
[2025-04-19 01:18:58] (step=0000337) Train Loss: 0.7973, Train Steps/Sec: 0.02, Epoch: 0.9796511627906976, LR: 0.001
[2025-04-19 01:19:26] (step=0000577) Train Loss: 0.8790, Train Steps/Sec: 0.03, Epoch: 1.677325581395349, LR: 0.001
[2025-04-19 01:19:47] (step=0000338) Train Loss: 0.5173, Train Steps/Sec: 0.02, Epoch: 0.9825581395348837, LR: 0.001
[2025-04-19 01:19:56] (step=0000578) Train Loss: 0.4906, Train Steps/Sec: 0.03, Epoch: 1.680232558139535, LR: 0.001
[2025-04-19 01:20:26] (step=0000579) Train Loss: 0.4644, Train Steps/Sec: 0.03, Epoch: 1.683139534883721, LR: 0.001
[2025-04-19 01:20:35] (step=0000339) Train Loss: 0.4928, Train Steps/Sec: 0.02, Epoch: 0.9854651162790697, LR: 0.001
[2025-04-19 01:20:57] (step=0000580) Train Loss: 0.8604, Train Steps/Sec: 0.03, Epoch: 1.686046511627907, LR: 0.001
[2025-04-19 01:21:24] (step=0000340) Train Loss: 0.6462, Train Steps/Sec: 0.02, Epoch: 0.9883720930232558, LR: 0.001
[2025-04-19 01:21:27] (step=0000581) Train Loss: 0.5815, Train Steps/Sec: 0.03, Epoch: 1.688953488372093, LR: 0.001
[2025-04-19 01:21:57] (step=0000582) Train Loss: 0.6290, Train Steps/Sec: 0.03, Epoch: 1.691860465116279, LR: 0.001
[2025-04-19 01:22:12] (step=0000341) Train Loss: 0.6476, Train Steps/Sec: 0.02, Epoch: 0.9912790697674418, LR: 0.001
[2025-04-19 01:22:27] (step=0000583) Train Loss: 0.5459, Train Steps/Sec: 0.03, Epoch: 1.694767441860465, LR: 0.001
[2025-04-19 01:22:58] (step=0000584) Train Loss: 0.6692, Train Steps/Sec: 0.03, Epoch: 1.697674418604651, LR: 0.001
[2025-04-19 01:23:00] (step=0000342) Train Loss: 0.3827, Train Steps/Sec: 0.02, Epoch: 0.9941860465116279, LR: 0.001
[2025-04-19 01:23:28] (step=0000585) Train Loss: 0.8273, Train Steps/Sec: 0.03, Epoch: 1.7005813953488371, LR: 0.001
[2025-04-19 01:23:49] (step=0000343) Train Loss: 0.8677, Train Steps/Sec: 0.02, Epoch: 0.997093023255814, LR: 0.001
[2025-04-19 01:23:59] (step=0000586) Train Loss: 0.8632, Train Steps/Sec: 0.03, Epoch: 1.7034883720930232, LR: 0.001
[2025-04-19 01:24:29] (step=0000587) Train Loss: 0.8262, Train Steps/Sec: 0.03, Epoch: 1.7063953488372092, LR: 0.001
[2025-04-19 01:24:38] (step=0000344) Train Loss: 0.7995, Train Steps/Sec: 0.02, Epoch: 1.0, LR: 0.001
[2025-04-19 01:24:38] Beginning epoch 1...
[2025-04-19 01:24:59] (step=0000588) Train Loss: 0.8018, Train Steps/Sec: 0.03, Epoch: 1.7093023255813953, LR: 0.001
[2025-04-19 01:25:30] (step=0000589) Train Loss: 0.8460, Train Steps/Sec: 0.03, Epoch: 1.7122093023255813, LR: 0.001
[2025-04-19 01:25:33] (step=0000345) Train Loss: 0.8413, Train Steps/Sec: 0.02, Epoch: 1.002906976744186, LR: 0.001
[2025-04-19 01:26:00] (step=0000590) Train Loss: 0.7954, Train Steps/Sec: 0.03, Epoch: 1.7151162790697674, LR: 0.001
[2025-04-19 01:26:22] (step=0000346) Train Loss: 0.8625, Train Steps/Sec: 0.02, Epoch: 1.005813953488372, LR: 0.001
[2025-04-19 01:26:30] (step=0000591) Train Loss: 0.4780, Train Steps/Sec: 0.03, Epoch: 1.7180232558139534, LR: 0.001
[2025-04-19 01:26:59] (step=0000592) Train Loss: 0.5274, Train Steps/Sec: 0.03, Epoch: 1.7209302325581395, LR: 0.001
[2025-04-19 01:27:11] (step=0000347) Train Loss: 0.6293, Train Steps/Sec: 0.02, Epoch: 1.0087209302325582, LR: 0.001
[2025-04-19 01:27:29] (step=0000593) Train Loss: 0.5240, Train Steps/Sec: 0.03, Epoch: 1.7238372093023255, LR: 0.001
[2025-04-19 01:27:59] (step=0000594) Train Loss: 0.7534, Train Steps/Sec: 0.03, Epoch: 1.7267441860465116, LR: 0.001
[2025-04-19 01:27:59] (step=0000348) Train Loss: 0.4097, Train Steps/Sec: 0.02, Epoch: 1.0116279069767442, LR: 0.001
[2025-04-19 01:28:28] (step=0000595) Train Loss: 0.5383, Train Steps/Sec: 0.03, Epoch: 1.7296511627906976, LR: 0.001
[2025-04-19 01:28:48] (step=0000349) Train Loss: 0.7274, Train Steps/Sec: 0.02, Epoch: 1.0145348837209303, LR: 0.001
[2025-04-19 01:28:58] (step=0000596) Train Loss: 0.5048, Train Steps/Sec: 0.03, Epoch: 1.7325581395348837, LR: 0.001
[2025-04-19 01:29:06] (step=0000350) Train Loss: 0.8533, Train Steps/Sec: 0.05, Epoch: 1.0174418604651163, LR: 0.001
[2025-04-19 01:29:27] (step=0000597) Train Loss: 0.5129, Train Steps/Sec: 0.03, Epoch: 1.7354651162790697, LR: 0.001
[2025-04-19 01:29:55] (step=0000351) Train Loss: 0.8262, Train Steps/Sec: 0.02, Epoch: 1.0203488372093024, LR: 0.001
[2025-04-19 01:29:57] (step=0000598) Train Loss: 0.5288, Train Steps/Sec: 0.03, Epoch: 1.7383720930232558, LR: 0.001
[2025-04-19 01:30:27] (step=0000599) Train Loss: 0.6710, Train Steps/Sec: 0.03, Epoch: 1.7412790697674418, LR: 0.001
[2025-04-19 01:30:43] (step=0000352) Train Loss: 0.6556, Train Steps/Sec: 0.02, Epoch: 1.0232558139534884, LR: 0.001
[2025-04-19 01:30:56] (step=0000600) Train Loss: 0.7305, Train Steps/Sec: 0.03, Epoch: 1.744186046511628, LR: 0.001
[2025-04-19 01:31:09] Saved checkpoint to ./results/sfm_based//checkpoints/0000600/
[2025-04-19 01:31:31] (step=0000353) Train Loss: 0.5800, Train Steps/Sec: 0.02, Epoch: 1.0261627906976745, LR: 0.001
[2025-04-19 01:31:39] (step=0000601) Train Loss: 0.7721, Train Steps/Sec: 0.02, Epoch: 1.747093023255814, LR: 0.001
[2025-04-19 01:32:08] (step=0000602) Train Loss: 0.7032, Train Steps/Sec: 0.03, Epoch: 1.75, LR: 0.001
[2025-04-19 01:32:19] (step=0000354) Train Loss: 0.4545, Train Steps/Sec: 0.02, Epoch: 1.0290697674418605, LR: 0.001
[2025-04-19 01:32:38] (step=0000603) Train Loss: 0.5159, Train Steps/Sec: 0.03, Epoch: 1.752906976744186, LR: 0.001
[2025-04-19 01:33:07] (step=0000355) Train Loss: 0.8213, Train Steps/Sec: 0.02, Epoch: 1.0319767441860466, LR: 0.001
[2025-04-19 01:33:08] (step=0000604) Train Loss: 0.5765, Train Steps/Sec: 0.03, Epoch: 1.755813953488372, LR: 0.001
[2025-04-19 01:33:38] (step=0000605) Train Loss: 0.7052, Train Steps/Sec: 0.03, Epoch: 1.7587209302325582, LR: 0.001
[2025-04-19 01:33:56] (step=0000356) Train Loss: 0.4926, Train Steps/Sec: 0.02, Epoch: 1.0348837209302326, LR: 0.001
[2025-04-19 01:34:08] (step=0000606) Train Loss: 0.8001, Train Steps/Sec: 0.03, Epoch: 1.7616279069767442, LR: 0.001
[2025-04-19 01:34:38] (step=0000607) Train Loss: 0.8890, Train Steps/Sec: 0.03, Epoch: 1.7645348837209303, LR: 0.001
[2025-04-19 01:34:44] (step=0000357) Train Loss: 0.3852, Train Steps/Sec: 0.02, Epoch: 1.0377906976744187, LR: 0.001
[2025-04-19 01:35:07] (step=0000608) Train Loss: 0.8744, Train Steps/Sec: 0.03, Epoch: 1.7674418604651163, LR: 0.001
[2025-04-19 01:35:32] (step=0000358) Train Loss: 0.7467, Train Steps/Sec: 0.02, Epoch: 1.0406976744186047, LR: 0.001
[2025-04-19 01:35:37] (step=0000609) Train Loss: 0.6897, Train Steps/Sec: 0.03, Epoch: 1.7703488372093024, LR: 0.001
[2025-04-19 01:36:07] (step=0000610) Train Loss: 0.6198, Train Steps/Sec: 0.03, Epoch: 1.7732558139534884, LR: 0.001
[2025-04-19 01:36:21] (step=0000359) Train Loss: 0.8457, Train Steps/Sec: 0.02, Epoch: 1.0436046511627908, LR: 0.001
[2025-04-19 01:36:36] (step=0000611) Train Loss: 0.7374, Train Steps/Sec: 0.03, Epoch: 1.7761627906976745, LR: 0.001
[2025-04-19 01:37:06] (step=0000612) Train Loss: 0.4955, Train Steps/Sec: 0.03, Epoch: 1.7790697674418605, LR: 0.001
[2025-04-19 01:37:09] (step=0000360) Train Loss: 0.5412, Train Steps/Sec: 0.02, Epoch: 1.0465116279069768, LR: 0.001
[2025-04-19 01:37:36] (step=0000613) Train Loss: 0.5227, Train Steps/Sec: 0.03, Epoch: 1.7819767441860466, LR: 0.001
[2025-04-19 01:37:57] (step=0000361) Train Loss: 0.6144, Train Steps/Sec: 0.02, Epoch: 1.0494186046511629, LR: 0.001
[2025-04-19 01:38:06] (step=0000614) Train Loss: 0.4773, Train Steps/Sec: 0.03, Epoch: 1.7848837209302326, LR: 0.001
[2025-04-19 01:38:35] (step=0000615) Train Loss: 0.8794, Train Steps/Sec: 0.03, Epoch: 1.7877906976744187, LR: 0.001
[2025-04-19 01:38:46] (step=0000362) Train Loss: 0.7695, Train Steps/Sec: 0.02, Epoch: 1.052325581395349, LR: 0.001
[2025-04-19 01:39:05] (step=0000616) Train Loss: 0.8255, Train Steps/Sec: 0.03, Epoch: 1.7906976744186047, LR: 0.001
[2025-04-19 01:39:34] (step=0000363) Train Loss: 0.5817, Train Steps/Sec: 0.02, Epoch: 1.055232558139535, LR: 0.001
[2025-04-19 01:39:35] (step=0000617) Train Loss: 0.7355, Train Steps/Sec: 0.03, Epoch: 1.7936046511627908, LR: 0.001
[2025-04-19 01:40:05] (step=0000618) Train Loss: 0.9580, Train Steps/Sec: 0.03, Epoch: 1.7965116279069768, LR: 0.001
[2025-04-19 01:40:22] (step=0000364) Train Loss: 0.0062, Train Steps/Sec: 0.02, Epoch: 1.058139534883721, LR: 0.001
[2025-04-19 01:40:34] (step=0000619) Train Loss: 0.8510, Train Steps/Sec: 0.03, Epoch: 1.7994186046511629, LR: 0.001
[2025-04-19 01:41:04] (step=0000620) Train Loss: 0.8102, Train Steps/Sec: 0.03, Epoch: 1.802325581395349, LR: 0.001
[2025-04-19 01:41:11] (step=0000365) Train Loss: 0.3915, Train Steps/Sec: 0.02, Epoch: 1.061046511627907, LR: 0.001
[2025-04-19 01:41:34] (step=0000621) Train Loss: 0.8456, Train Steps/Sec: 0.03, Epoch: 1.805232558139535, LR: 0.001
[2025-04-19 01:41:59] (step=0000366) Train Loss: 0.8041, Train Steps/Sec: 0.02, Epoch: 1.063953488372093, LR: 0.001
[2025-04-19 01:42:03] (step=0000622) Train Loss: 0.6580, Train Steps/Sec: 0.03, Epoch: 1.808139534883721, LR: 0.001
[2025-04-19 01:42:33] (step=0000623) Train Loss: 0.7643, Train Steps/Sec: 0.03, Epoch: 1.811046511627907, LR: 0.001
[2025-04-19 01:42:47] (step=0000367) Train Loss: 0.4633, Train Steps/Sec: 0.02, Epoch: 1.066860465116279, LR: 0.001
[2025-04-19 01:43:03] (step=0000624) Train Loss: 0.7764, Train Steps/Sec: 0.03, Epoch: 1.813953488372093, LR: 0.001
[2025-04-19 01:43:33] (step=0000625) Train Loss: 0.8696, Train Steps/Sec: 0.03, Epoch: 1.816860465116279, LR: 0.001
[2025-04-19 01:43:36] (step=0000368) Train Loss: 0.6364, Train Steps/Sec: 0.02, Epoch: 1.069767441860465, LR: 0.001
[2025-04-19 01:44:03] (step=0000626) Train Loss: 0.5345, Train Steps/Sec: 0.03, Epoch: 1.819767441860465, LR: 0.001
[2025-04-19 01:44:24] (step=0000369) Train Loss: 0.6498, Train Steps/Sec: 0.02, Epoch: 1.072674418604651, LR: 0.001
[2025-04-19 01:44:32] (step=0000627) Train Loss: 0.4948, Train Steps/Sec: 0.03, Epoch: 1.822674418604651, LR: 0.001
[2025-04-19 01:45:02] (step=0000628) Train Loss: 0.7398, Train Steps/Sec: 0.03, Epoch: 1.8255813953488371, LR: 0.001
[2025-04-19 01:45:12] (step=0000370) Train Loss: 0.7426, Train Steps/Sec: 0.02, Epoch: 1.0755813953488371, LR: 0.001
[2025-04-19 01:45:31] (step=0000629) Train Loss: 1.0630, Train Steps/Sec: 0.03, Epoch: 1.8284883720930232, LR: 0.001
[2025-04-19 01:46:00] (step=0000371) Train Loss: 0.7337, Train Steps/Sec: 0.02, Epoch: 1.0784883720930232, LR: 0.001
[2025-04-19 01:46:01] (step=0000630) Train Loss: 1.1587, Train Steps/Sec: 0.03, Epoch: 1.8313953488372092, LR: 0.001
[2025-04-19 01:46:31] (step=0000631) Train Loss: 0.6957, Train Steps/Sec: 0.03, Epoch: 1.8343023255813953, LR: 0.001
[2025-04-19 01:46:49] (step=0000372) Train Loss: 0.7440, Train Steps/Sec: 0.02, Epoch: 1.0813953488372092, LR: 0.001
[2025-04-19 01:47:00] (step=0000632) Train Loss: 0.8298, Train Steps/Sec: 0.03, Epoch: 1.8372093023255813, LR: 0.001
[2025-04-19 01:47:30] (step=0000633) Train Loss: 0.8733, Train Steps/Sec: 0.03, Epoch: 1.8401162790697674, LR: 0.001
[2025-04-19 01:47:37] (step=0000373) Train Loss: 0.5311, Train Steps/Sec: 0.02, Epoch: 1.0843023255813953, LR: 0.001
[2025-04-19 01:48:00] (step=0000634) Train Loss: 0.6540, Train Steps/Sec: 0.03, Epoch: 1.8430232558139534, LR: 0.001
[2025-04-19 01:48:25] (step=0000374) Train Loss: 0.5502, Train Steps/Sec: 0.02, Epoch: 1.0872093023255813, LR: 0.001
[2025-04-19 01:48:29] (step=0000635) Train Loss: 1.3131, Train Steps/Sec: 0.03, Epoch: 1.8459302325581395, LR: 0.001
[2025-04-19 01:48:59] (step=0000636) Train Loss: 1.0113, Train Steps/Sec: 0.03, Epoch: 1.8488372093023255, LR: 0.001
[2025-04-19 01:49:14] (step=0000375) Train Loss: 0.4037, Train Steps/Sec: 0.02, Epoch: 1.0901162790697674, LR: 0.001
[2025-04-19 01:49:29] (step=0000637) Train Loss: 0.5253, Train Steps/Sec: 0.03, Epoch: 1.8517441860465116, LR: 0.001
[2025-04-19 01:49:58] (step=0000638) Train Loss: 0.8563, Train Steps/Sec: 0.03, Epoch: 1.8546511627906976, LR: 0.001
[2025-04-19 01:50:02] (step=0000376) Train Loss: 0.8594, Train Steps/Sec: 0.02, Epoch: 1.0930232558139534, LR: 0.001
[2025-04-19 01:50:28] (step=0000639) Train Loss: 0.4496, Train Steps/Sec: 0.03, Epoch: 1.8575581395348837, LR: 0.001
[2025-04-19 01:50:50] (step=0000377) Train Loss: 0.8523, Train Steps/Sec: 0.02, Epoch: 1.0959302325581395, LR: 0.001
[2025-04-19 01:50:58] (step=0000640) Train Loss: 0.7368, Train Steps/Sec: 0.03, Epoch: 1.8604651162790697, LR: 0.001
[2025-04-19 01:51:27] (step=0000641) Train Loss: 1.0754, Train Steps/Sec: 0.03, Epoch: 1.8633720930232558, LR: 0.001
[2025-04-19 01:51:39] (step=0000378) Train Loss: 0.5546, Train Steps/Sec: 0.02, Epoch: 1.0988372093023255, LR: 0.001
[2025-04-19 01:51:57] (step=0000642) Train Loss: 0.8130, Train Steps/Sec: 0.03, Epoch: 1.8662790697674418, LR: 0.001
[2025-04-19 01:52:27] (step=0000643) Train Loss: 0.8391, Train Steps/Sec: 0.03, Epoch: 1.869186046511628, LR: 0.001
[2025-04-19 01:52:27] (step=0000379) Train Loss: 0.7994, Train Steps/Sec: 0.02, Epoch: 1.1017441860465116, LR: 0.001
[2025-04-19 01:52:56] (step=0000644) Train Loss: 0.8120, Train Steps/Sec: 0.03, Epoch: 1.872093023255814, LR: 0.001
[2025-04-19 01:53:15] (step=0000380) Train Loss: 0.6817, Train Steps/Sec: 0.02, Epoch: 1.1046511627906976, LR: 0.001
[2025-04-19 01:53:26] (step=0000645) Train Loss: 0.5106, Train Steps/Sec: 0.03, Epoch: 1.875, LR: 0.001
[2025-04-19 01:53:56] (step=0000646) Train Loss: 0.9119, Train Steps/Sec: 0.03, Epoch: 1.877906976744186, LR: 0.001
[2025-04-19 01:54:03] (step=0000381) Train Loss: 0.8254, Train Steps/Sec: 0.02, Epoch: 1.1075581395348837, LR: 0.001
[2025-04-19 01:54:25] (step=0000647) Train Loss: 0.8009, Train Steps/Sec: 0.03, Epoch: 1.880813953488372, LR: 0.001
[2025-04-19 01:54:52] (step=0000382) Train Loss: 0.7041, Train Steps/Sec: 0.02, Epoch: 1.1104651162790697, LR: 0.001
[2025-04-19 01:54:55] (step=0000648) Train Loss: 0.6751, Train Steps/Sec: 0.03, Epoch: 1.8837209302325582, LR: 0.001
[2025-04-19 01:55:24] (step=0000649) Train Loss: 0.4915, Train Steps/Sec: 0.03, Epoch: 1.8866279069767442, LR: 0.001
[2025-04-19 01:55:40] (step=0000383) Train Loss: 0.5115, Train Steps/Sec: 0.02, Epoch: 1.1133720930232558, LR: 0.001
[2025-04-19 01:55:54] (step=0000650) Train Loss: 1.4342, Train Steps/Sec: 0.03, Epoch: 1.8895348837209303, LR: 0.001
[2025-04-19 01:56:24] (step=0000651) Train Loss: 1.0296, Train Steps/Sec: 0.03, Epoch: 1.8924418604651163, LR: 0.001
[2025-04-19 01:56:28] (step=0000384) Train Loss: 0.6530, Train Steps/Sec: 0.02, Epoch: 1.1162790697674418, LR: 0.001
[2025-04-19 01:56:53] (step=0000652) Train Loss: 0.5539, Train Steps/Sec: 0.03, Epoch: 1.8953488372093024, LR: 0.001
[2025-04-19 01:57:17] (step=0000385) Train Loss: 0.4501, Train Steps/Sec: 0.02, Epoch: 1.119186046511628, LR: 0.001
[2025-04-19 01:57:23] (step=0000653) Train Loss: 1.5608, Train Steps/Sec: 0.03, Epoch: 1.8982558139534884, LR: 0.001
[2025-04-19 01:57:52] (step=0000654) Train Loss: 1.1263, Train Steps/Sec: 0.03, Epoch: 1.9011627906976745, LR: 0.001
[2025-04-19 01:58:05] (step=0000386) Train Loss: 0.4836, Train Steps/Sec: 0.02, Epoch: 1.122093023255814, LR: 0.001
[2025-04-19 01:58:22] (step=0000655) Train Loss: 1.2776, Train Steps/Sec: 0.03, Epoch: 1.9040697674418605, LR: 0.001
[2025-04-19 01:58:52] (step=0000656) Train Loss: 0.9325, Train Steps/Sec: 0.03, Epoch: 1.9069767441860466, LR: 0.001
[2025-04-19 01:58:53] (step=0000387) Train Loss: 0.3639, Train Steps/Sec: 0.02, Epoch: 1.125, LR: 0.001
[2025-04-19 01:59:21] (step=0000657) Train Loss: 0.7697, Train Steps/Sec: 0.03, Epoch: 1.9098837209302326, LR: 0.001
[2025-04-19 01:59:41] (step=0000388) Train Loss: 0.8651, Train Steps/Sec: 0.02, Epoch: 1.127906976744186, LR: 0.001
[2025-04-19 01:59:51] (step=0000658) Train Loss: 0.9916, Train Steps/Sec: 0.03, Epoch: 1.9127906976744187, LR: 0.001
[2025-04-19 02:00:21] (step=0000659) Train Loss: 0.9951, Train Steps/Sec: 0.03, Epoch: 1.9156976744186047, LR: 0.001
[2025-04-19 02:00:30] (step=0000389) Train Loss: 0.8306, Train Steps/Sec: 0.02, Epoch: 1.130813953488372, LR: 0.001
[2025-04-19 02:00:51] (step=0000660) Train Loss: 0.6663, Train Steps/Sec: 0.03, Epoch: 1.9186046511627908, LR: 0.001
[2025-04-19 02:01:18] (step=0000390) Train Loss: 0.6406, Train Steps/Sec: 0.02, Epoch: 1.1337209302325582, LR: 0.001
[2025-04-19 02:01:20] (step=0000661) Train Loss: 0.9985, Train Steps/Sec: 0.03, Epoch: 1.9215116279069768, LR: 0.001
[2025-04-19 02:01:50] (step=0000662) Train Loss: 1.1557, Train Steps/Sec: 0.03, Epoch: 1.9244186046511629, LR: 0.001
[2025-04-19 02:02:06] (step=0000391) Train Loss: 0.5964, Train Steps/Sec: 0.02, Epoch: 1.1366279069767442, LR: 0.001
[2025-04-19 02:02:20] (step=0000663) Train Loss: 0.7045, Train Steps/Sec: 0.03, Epoch: 1.927325581395349, LR: 0.001
[2025-04-19 02:02:49] (step=0000664) Train Loss: 1.0140, Train Steps/Sec: 0.03, Epoch: 1.930232558139535, LR: 0.001
[2025-04-19 02:02:54] (step=0000392) Train Loss: 0.3822, Train Steps/Sec: 0.02, Epoch: 1.1395348837209303, LR: 0.001
[2025-04-19 02:03:19] (step=0000665) Train Loss: 0.6737, Train Steps/Sec: 0.03, Epoch: 1.933139534883721, LR: 0.001
[2025-04-19 02:03:43] (step=0000393) Train Loss: 0.8119, Train Steps/Sec: 0.02, Epoch: 1.1424418604651163, LR: 0.001
[2025-04-19 02:03:49] (step=0000666) Train Loss: 0.7776, Train Steps/Sec: 0.03, Epoch: 1.936046511627907, LR: 0.001
[2025-04-19 02:04:18] (step=0000667) Train Loss: 1.0959, Train Steps/Sec: 0.03, Epoch: 1.938953488372093, LR: 0.001
[2025-04-19 02:04:31] (step=0000394) Train Loss: 0.5717, Train Steps/Sec: 0.02, Epoch: 1.1453488372093024, LR: 0.001
[2025-04-19 02:04:48] (step=0000668) Train Loss: 0.5239, Train Steps/Sec: 0.03, Epoch: 1.941860465116279, LR: 0.001
[2025-04-19 02:05:18] (step=0000669) Train Loss: 1.1336, Train Steps/Sec: 0.03, Epoch: 1.944767441860465, LR: 0.001
[2025-04-19 02:05:20] (step=0000395) Train Loss: 0.4081, Train Steps/Sec: 0.02, Epoch: 1.1482558139534884, LR: 0.001
[2025-04-19 02:05:47] (step=0000670) Train Loss: 1.3426, Train Steps/Sec: 0.03, Epoch: 1.947674418604651, LR: 0.001
[2025-04-19 02:06:08] (step=0000396) Train Loss: 0.7923, Train Steps/Sec: 0.02, Epoch: 1.1511627906976745, LR: 0.001
[2025-04-19 02:06:17] (step=0000671) Train Loss: 0.7674, Train Steps/Sec: 0.03, Epoch: 1.9505813953488371, LR: 0.001
[2025-04-19 02:06:47] (step=0000672) Train Loss: 0.6618, Train Steps/Sec: 0.03, Epoch: 1.9534883720930232, LR: 0.001
[2025-04-19 02:06:56] (step=0000397) Train Loss: 0.5977, Train Steps/Sec: 0.02, Epoch: 1.1540697674418605, LR: 0.001
[2025-04-19 02:07:16] (step=0000673) Train Loss: 1.1405, Train Steps/Sec: 0.03, Epoch: 1.9563953488372092, LR: 0.001
[2025-04-19 02:07:45] (step=0000398) Train Loss: 0.8056, Train Steps/Sec: 0.02, Epoch: 1.1569767441860466, LR: 0.001
[2025-04-19 02:07:46] (step=0000674) Train Loss: 1.0533, Train Steps/Sec: 0.03, Epoch: 1.9593023255813953, LR: 0.001
[2025-04-19 02:08:16] (step=0000675) Train Loss: 0.7062, Train Steps/Sec: 0.03, Epoch: 1.9622093023255813, LR: 0.001
[2025-04-19 02:08:33] (step=0000399) Train Loss: 0.3907, Train Steps/Sec: 0.02, Epoch: 1.1598837209302326, LR: 0.001
[2025-04-19 02:08:45] (step=0000676) Train Loss: 0.8336, Train Steps/Sec: 0.03, Epoch: 1.9651162790697674, LR: 0.001
[2025-04-19 02:09:15] (step=0000677) Train Loss: 3.1701, Train Steps/Sec: 0.03, Epoch: 1.9680232558139534, LR: 0.001
[2025-04-19 02:09:21] (step=0000400) Train Loss: 0.8457, Train Steps/Sec: 0.02, Epoch: 1.1627906976744187, LR: 0.001
[2025-04-19 02:09:25] (step=0000678) Train Loss: 1.1560, Train Steps/Sec: 0.10, Epoch: 1.9709302325581395, LR: 0.001
[2025-04-19 02:09:35] Saved checkpoint to ./results/sfm_based//checkpoints/0000400/
[2025-04-19 02:09:54] (step=0000679) Train Loss: 2.5216, Train Steps/Sec: 0.03, Epoch: 1.9738372093023255, LR: 0.001
[2025-04-19 02:10:22] (step=0000401) Train Loss: 0.7499, Train Steps/Sec: 0.02, Epoch: 1.1656976744186047, LR: 0.001
[2025-04-19 02:10:24] (step=0000680) Train Loss: 0.7563, Train Steps/Sec: 0.03, Epoch: 1.9767441860465116, LR: 0.001
[2025-04-19 02:10:54] (step=0000681) Train Loss: 1.3190, Train Steps/Sec: 0.03, Epoch: 1.9796511627906976, LR: 0.001
[2025-04-19 02:11:11] (step=0000402) Train Loss: 0.7631, Train Steps/Sec: 0.02, Epoch: 1.1686046511627908, LR: 0.001
[2025-04-19 02:11:23] (step=0000682) Train Loss: 0.7908, Train Steps/Sec: 0.03, Epoch: 1.9825581395348837, LR: 0.001
[2025-04-19 02:11:53] (step=0000683) Train Loss: 0.7018, Train Steps/Sec: 0.03, Epoch: 1.9854651162790697, LR: 0.001
[2025-04-19 02:11:59] (step=0000403) Train Loss: 0.7306, Train Steps/Sec: 0.02, Epoch: 1.1715116279069768, LR: 0.001
[2025-04-19 02:12:23] (step=0000684) Train Loss: 0.7396, Train Steps/Sec: 0.03, Epoch: 1.9883720930232558, LR: 0.001
[2025-04-19 02:12:48] (step=0000404) Train Loss: 0.6990, Train Steps/Sec: 0.02, Epoch: 1.1744186046511629, LR: 0.001
[2025-04-19 02:12:52] (step=0000685) Train Loss: 1.9692, Train Steps/Sec: 0.03, Epoch: 1.9912790697674418, LR: 0.001
[2025-04-19 02:13:22] (step=0000686) Train Loss: 1.1724, Train Steps/Sec: 0.03, Epoch: 1.994186046511628, LR: 0.001
[2025-04-19 02:13:36] (step=0000405) Train Loss: 0.4598, Train Steps/Sec: 0.02, Epoch: 1.177325581395349, LR: 0.001
[2025-04-19 02:13:52] (step=0000687) Train Loss: 0.8056, Train Steps/Sec: 0.03, Epoch: 1.997093023255814, LR: 0.001
[2025-04-19 02:14:21] (step=0000688) Train Loss: 0.7649, Train Steps/Sec: 0.03, Epoch: 2.0, LR: 0.001
[2025-04-19 02:14:21] Beginning epoch 2...
[2025-04-19 02:14:25] (step=0000406) Train Loss: 0.7209, Train Steps/Sec: 0.02, Epoch: 1.180232558139535, LR: 0.001
[2025-04-19 02:14:57] (step=0000689) Train Loss: 2.1249, Train Steps/Sec: 0.03, Epoch: 2.002906976744186, LR: 0.001
[2025-04-19 02:15:13] (step=0000407) Train Loss: 0.5483, Train Steps/Sec: 0.02, Epoch: 1.183139534883721, LR: 0.001
[2025-04-19 02:15:27] (step=0000690) Train Loss: 1.0690, Train Steps/Sec: 0.03, Epoch: 2.005813953488372, LR: 0.001
[2025-04-19 02:15:36] (step=0000691) Train Loss: 1.5939, Train Steps/Sec: 0.10, Epoch: 2.008720930232558, LR: 0.001
[2025-04-19 02:16:02] (step=0000408) Train Loss: 0.7436, Train Steps/Sec: 0.02, Epoch: 1.186046511627907, LR: 0.001
[2025-04-19 02:16:06] (step=0000692) Train Loss: 1.2207, Train Steps/Sec: 0.03, Epoch: 2.011627906976744, LR: 0.001
[2025-04-19 02:16:36] (step=0000693) Train Loss: 1.1171, Train Steps/Sec: 0.03, Epoch: 2.01453488372093, LR: 0.001
[2025-04-19 02:16:50] (step=0000409) Train Loss: 0.6377, Train Steps/Sec: 0.02, Epoch: 1.188953488372093, LR: 0.001
[2025-04-19 02:17:06] (step=0000694) Train Loss: 0.7414, Train Steps/Sec: 0.03, Epoch: 2.0174418604651163, LR: 0.001
[2025-04-19 02:17:36] (step=0000695) Train Loss: 1.8919, Train Steps/Sec: 0.03, Epoch: 2.020348837209302, LR: 0.001
[2025-04-19 02:17:38] (step=0000410) Train Loss: 0.8517, Train Steps/Sec: 0.02, Epoch: 1.191860465116279, LR: 0.001
[2025-04-19 02:18:05] (step=0000696) Train Loss: 1.1915, Train Steps/Sec: 0.03, Epoch: 2.0232558139534884, LR: 0.001
[2025-04-19 02:18:27] (step=0000411) Train Loss: 0.7438, Train Steps/Sec: 0.02, Epoch: 1.194767441860465, LR: 0.001
[2025-04-19 02:18:35] (step=0000697) Train Loss: 1.1510, Train Steps/Sec: 0.03, Epoch: 2.0261627906976742, LR: 0.001
[2025-04-19 02:19:05] (step=0000698) Train Loss: 1.4382, Train Steps/Sec: 0.03, Epoch: 2.0290697674418605, LR: 0.001
[2025-04-19 02:19:15] (step=0000412) Train Loss: 0.8096, Train Steps/Sec: 0.02, Epoch: 1.197674418604651, LR: 0.001
[2025-04-19 02:19:34] (step=0000699) Train Loss: 0.8241, Train Steps/Sec: 0.03, Epoch: 2.0319767441860463, LR: 0.001
[2025-04-19 02:20:04] (step=0000413) Train Loss: 0.3689, Train Steps/Sec: 0.02, Epoch: 1.2005813953488371, LR: 0.001
[2025-04-19 02:20:04] (step=0000700) Train Loss: 1.0100, Train Steps/Sec: 0.03, Epoch: 2.0348837209302326, LR: 0.001
[2025-04-19 02:20:33] (step=0000701) Train Loss: 1.0045, Train Steps/Sec: 0.03, Epoch: 2.0377906976744184, LR: 0.001
[2025-04-19 02:20:52] (step=0000414) Train Loss: 0.3989, Train Steps/Sec: 0.02, Epoch: 1.2034883720930232, LR: 0.001
[2025-04-19 02:21:03] (step=0000702) Train Loss: 0.8122, Train Steps/Sec: 0.03, Epoch: 2.0406976744186047, LR: 0.001
[2025-04-19 02:21:33] (step=0000703) Train Loss: 0.6047, Train Steps/Sec: 0.03, Epoch: 2.0436046511627906, LR: 0.001
[2025-04-19 02:21:40] (step=0000415) Train Loss: 0.7194, Train Steps/Sec: 0.02, Epoch: 1.2063953488372092, LR: 0.001
[2025-04-19 02:22:02] (step=0000704) Train Loss: 1.6665, Train Steps/Sec: 0.03, Epoch: 2.046511627906977, LR: 0.001
[2025-04-19 02:22:29] (step=0000416) Train Loss: 0.6928, Train Steps/Sec: 0.02, Epoch: 1.2093023255813953, LR: 0.001
[2025-04-19 02:22:32] (step=0000705) Train Loss: 0.9961, Train Steps/Sec: 0.03, Epoch: 2.0494186046511627, LR: 0.001
[2025-04-19 02:23:01] (step=0000706) Train Loss: 0.9263, Train Steps/Sec: 0.03, Epoch: 2.052325581395349, LR: 0.001
[2025-04-19 02:23:17] (step=0000417) Train Loss: 0.5323, Train Steps/Sec: 0.02, Epoch: 1.2122093023255813, LR: 0.001
[2025-04-19 02:23:31] (step=0000707) Train Loss: 1.0353, Train Steps/Sec: 0.03, Epoch: 2.0552325581395348, LR: 0.001
[2025-04-19 02:24:01] (step=0000708) Train Loss: 1.0786, Train Steps/Sec: 0.03, Epoch: 2.058139534883721, LR: 0.001
[2025-04-19 02:24:05] (step=0000418) Train Loss: 0.5934, Train Steps/Sec: 0.02, Epoch: 1.2151162790697674, LR: 0.001
[2025-04-19 02:24:31] (step=0000709) Train Loss: 2.3424, Train Steps/Sec: 0.03, Epoch: 2.061046511627907, LR: 0.001
[2025-04-19 02:24:54] (step=0000419) Train Loss: 0.4608, Train Steps/Sec: 0.02, Epoch: 1.2180232558139534, LR: 0.001
[2025-04-19 02:25:00] (step=0000710) Train Loss: 1.3150, Train Steps/Sec: 0.03, Epoch: 2.063953488372093, LR: 0.001
[2025-04-19 02:25:30] (step=0000711) Train Loss: 1.6516, Train Steps/Sec: 0.03, Epoch: 2.066860465116279, LR: 0.001
[2025-04-19 02:25:42] (step=0000420) Train Loss: 0.8417, Train Steps/Sec: 0.02, Epoch: 1.2209302325581395, LR: 0.001
[2025-04-19 02:26:00] (step=0000712) Train Loss: 1.2583, Train Steps/Sec: 0.03, Epoch: 2.0697674418604652, LR: 0.001
[2025-04-19 02:26:29] (step=0000713) Train Loss: 1.2317, Train Steps/Sec: 0.03, Epoch: 2.072674418604651, LR: 0.001
[2025-04-19 02:26:30] (step=0000421) Train Loss: 0.8122, Train Steps/Sec: 0.02, Epoch: 1.2238372093023255, LR: 0.001
[2025-04-19 02:26:59] (step=0000714) Train Loss: 1.3601, Train Steps/Sec: 0.03, Epoch: 2.0755813953488373, LR: 0.001
[2025-04-19 02:27:18] (step=0000422) Train Loss: 0.8027, Train Steps/Sec: 0.02, Epoch: 1.2267441860465116, LR: 0.001
[2025-04-19 02:27:29] (step=0000715) Train Loss: 6.2117, Train Steps/Sec: 0.03, Epoch: 2.078488372093023, LR: 0.001
[2025-04-19 02:27:59] (step=0000716) Train Loss: 2.0955, Train Steps/Sec: 0.03, Epoch: 2.0813953488372094, LR: 0.001
[2025-04-19 02:28:07] (step=0000423) Train Loss: 0.6242, Train Steps/Sec: 0.02, Epoch: 1.2296511627906976, LR: 0.001
[2025-04-19 02:28:28] (step=0000717) Train Loss: 5.4592, Train Steps/Sec: 0.03, Epoch: 2.0843023255813953, LR: 0.001
[2025-04-19 02:28:55] (step=0000424) Train Loss: 0.8071, Train Steps/Sec: 0.02, Epoch: 1.2325581395348837, LR: 0.001
[2025-04-19 02:28:58] (step=0000718) Train Loss: 4.4155, Train Steps/Sec: 0.03, Epoch: 2.0872093023255816, LR: 0.001
[2025-04-19 02:29:28] (step=0000719) Train Loss: 0.9630, Train Steps/Sec: 0.03, Epoch: 2.0901162790697674, LR: 0.001
[2025-04-19 02:29:43] (step=0000425) Train Loss: 0.4118, Train Steps/Sec: 0.02, Epoch: 1.2354651162790697, LR: 0.001
[2025-04-19 02:29:58] (step=0000720) Train Loss: 2.1486, Train Steps/Sec: 0.03, Epoch: 2.0930232558139537, LR: 0.001
[2025-04-19 02:30:27] (step=0000721) Train Loss: 1.1837, Train Steps/Sec: 0.03, Epoch: 2.0959302325581395, LR: 0.001
[2025-04-19 02:30:32] (step=0000426) Train Loss: 0.6395, Train Steps/Sec: 0.02, Epoch: 1.2383720930232558, LR: 0.001
[2025-04-19 02:30:57] (step=0000722) Train Loss: 1.4441, Train Steps/Sec: 0.03, Epoch: 2.0988372093023258, LR: 0.001
[2025-04-19 02:31:20] (step=0000427) Train Loss: 0.8342, Train Steps/Sec: 0.02, Epoch: 1.2412790697674418, LR: 0.001
[2025-04-19 02:31:26] (step=0000723) Train Loss: 1.0733, Train Steps/Sec: 0.03, Epoch: 2.1017441860465116, LR: 0.001
[2025-04-19 02:31:56] (step=0000724) Train Loss: 1.1459, Train Steps/Sec: 0.03, Epoch: 2.104651162790698, LR: 0.001
[2025-04-19 02:32:08] (step=0000428) Train Loss: 0.5280, Train Steps/Sec: 0.02, Epoch: 1.244186046511628, LR: 0.001
[2025-04-19 02:32:25] (step=0000725) Train Loss: 0.6318, Train Steps/Sec: 0.03, Epoch: 2.1075581395348837, LR: 0.001
[2025-04-19 02:32:55] (step=0000726) Train Loss: 0.8211, Train Steps/Sec: 0.03, Epoch: 2.11046511627907, LR: 0.001
[2025-04-19 02:32:56] (step=0000429) Train Loss: 0.6658, Train Steps/Sec: 0.02, Epoch: 1.247093023255814, LR: 0.001
[2025-04-19 02:33:25] (step=0000727) Train Loss: 1.2099, Train Steps/Sec: 0.03, Epoch: 2.113372093023256, LR: 0.001
[2025-04-19 02:33:45] (step=0000430) Train Loss: 0.4290, Train Steps/Sec: 0.02, Epoch: 1.25, LR: 0.001
[2025-04-19 02:33:54] (step=0000728) Train Loss: 1.7100, Train Steps/Sec: 0.03, Epoch: 2.116279069767442, LR: 0.001
[2025-04-19 02:34:24] (step=0000729) Train Loss: 1.0701, Train Steps/Sec: 0.03, Epoch: 2.119186046511628, LR: 0.001
[2025-04-19 02:34:33] (step=0000431) Train Loss: 0.6092, Train Steps/Sec: 0.02, Epoch: 1.252906976744186, LR: 0.001
[2025-04-19 02:34:54] (step=0000730) Train Loss: 1.3196, Train Steps/Sec: 0.03, Epoch: 2.122093023255814, LR: 0.001
[2025-04-19 02:35:22] (step=0000432) Train Loss: 0.8446, Train Steps/Sec: 0.02, Epoch: 1.255813953488372, LR: 0.001
[2025-04-19 02:35:23] (step=0000731) Train Loss: 0.7462, Train Steps/Sec: 0.03, Epoch: 2.125, LR: 0.001
[2025-04-19 02:35:53] (step=0000732) Train Loss: 0.8381, Train Steps/Sec: 0.03, Epoch: 2.127906976744186, LR: 0.001
[2025-04-19 02:36:10] (step=0000433) Train Loss: 0.5880, Train Steps/Sec: 0.02, Epoch: 1.2587209302325582, LR: 0.001
[2025-04-19 02:36:23] (step=0000733) Train Loss: 1.6482, Train Steps/Sec: 0.03, Epoch: 2.130813953488372, LR: 0.001
[2025-04-19 02:36:52] (step=0000734) Train Loss: 1.0418, Train Steps/Sec: 0.03, Epoch: 2.133720930232558, LR: 0.001
[2025-04-19 02:36:58] (step=0000434) Train Loss: 0.8676, Train Steps/Sec: 0.02, Epoch: 1.2616279069767442, LR: 0.001
[2025-04-19 02:37:22] (step=0000735) Train Loss: 1.0071, Train Steps/Sec: 0.03, Epoch: 2.136627906976744, LR: 0.001
[2025-04-19 02:37:47] (step=0000435) Train Loss: 0.6910, Train Steps/Sec: 0.02, Epoch: 1.2645348837209303, LR: 0.001
[2025-04-19 02:37:52] (step=0000736) Train Loss: 0.9580, Train Steps/Sec: 0.03, Epoch: 2.13953488372093, LR: 0.001
[2025-04-19 02:38:22] (step=0000737) Train Loss: 1.5131, Train Steps/Sec: 0.03, Epoch: 2.1424418604651163, LR: 0.001
[2025-04-19 02:38:35] (step=0000436) Train Loss: 0.8791, Train Steps/Sec: 0.02, Epoch: 1.2674418604651163, LR: 0.001
[2025-04-19 02:38:51] (step=0000738) Train Loss: 0.8743, Train Steps/Sec: 0.03, Epoch: 2.145348837209302, LR: 0.001
[2025-04-19 02:39:21] (step=0000739) Train Loss: 1.4576, Train Steps/Sec: 0.03, Epoch: 2.1482558139534884, LR: 0.001
[2025-04-19 02:39:24] (step=0000437) Train Loss: 0.5214, Train Steps/Sec: 0.02, Epoch: 1.2703488372093024, LR: 0.001
[2025-04-19 02:39:50] (step=0000740) Train Loss: 1.1030, Train Steps/Sec: 0.03, Epoch: 2.1511627906976742, LR: 0.001
[2025-04-19 02:40:12] (step=0000438) Train Loss: 0.4956, Train Steps/Sec: 0.02, Epoch: 1.2732558139534884, LR: 0.001
[2025-04-19 02:40:20] (step=0000741) Train Loss: 0.7154, Train Steps/Sec: 0.03, Epoch: 2.1540697674418605, LR: 0.001
[2025-04-19 02:40:50] (step=0000742) Train Loss: 1.2517, Train Steps/Sec: 0.03, Epoch: 2.1569767441860463, LR: 0.001
[2025-04-19 02:41:00] (step=0000439) Train Loss: 0.8692, Train Steps/Sec: 0.02, Epoch: 1.2761627906976745, LR: 0.001
[2025-04-19 02:41:20] (step=0000743) Train Loss: 0.5966, Train Steps/Sec: 0.03, Epoch: 2.1598837209302326, LR: 0.001
[2025-04-19 02:41:48] (step=0000440) Train Loss: 0.6004, Train Steps/Sec: 0.02, Epoch: 1.2790697674418605, LR: 0.001
[2025-04-19 02:41:49] (step=0000744) Train Loss: 2.2162, Train Steps/Sec: 0.03, Epoch: 2.1627906976744184, LR: 0.001
[2025-04-19 02:42:19] (step=0000745) Train Loss: 1.3999, Train Steps/Sec: 0.03, Epoch: 2.1656976744186047, LR: 0.001
[2025-04-19 02:42:37] (step=0000441) Train Loss: 0.7310, Train Steps/Sec: 0.02, Epoch: 1.2819767441860466, LR: 0.001
[2025-04-19 02:42:49] (step=0000746) Train Loss: 1.2138, Train Steps/Sec: 0.03, Epoch: 2.1686046511627906, LR: 0.001
[2025-04-19 02:43:18] (step=0000747) Train Loss: 2.3382, Train Steps/Sec: 0.03, Epoch: 2.171511627906977, LR: 0.001
[2025-04-19 02:43:25] (step=0000442) Train Loss: 0.6790, Train Steps/Sec: 0.02, Epoch: 1.2848837209302326, LR: 0.001
[2025-04-19 02:43:48] (step=0000748) Train Loss: 0.5392, Train Steps/Sec: 0.03, Epoch: 2.1744186046511627, LR: 0.001
[2025-04-19 02:44:14] (step=0000443) Train Loss: 0.6328, Train Steps/Sec: 0.02, Epoch: 1.2877906976744187, LR: 0.001
[2025-04-19 02:44:17] (step=0000749) Train Loss: 0.8846, Train Steps/Sec: 0.03, Epoch: 2.177325581395349, LR: 0.001
[2025-04-19 02:44:47] (step=0000750) Train Loss: 0.5577, Train Steps/Sec: 0.03, Epoch: 2.1802325581395348, LR: 0.001
[2025-04-19 02:45:02] (step=0000444) Train Loss: 0.6733, Train Steps/Sec: 0.02, Epoch: 1.2906976744186047, LR: 0.001
[2025-04-19 02:45:17] (step=0000751) Train Loss: 0.8187, Train Steps/Sec: 0.03, Epoch: 2.183139534883721, LR: 0.001
[2025-04-19 02:45:46] (step=0000752) Train Loss: 0.8112, Train Steps/Sec: 0.03, Epoch: 2.186046511627907, LR: 0.001
[2025-04-19 02:45:50] (step=0000445) Train Loss: 0.6154, Train Steps/Sec: 0.02, Epoch: 1.2936046511627908, LR: 0.001
[2025-04-19 02:46:16] (step=0000753) Train Loss: 0.9132, Train Steps/Sec: 0.03, Epoch: 2.188953488372093, LR: 0.001
[2025-04-19 02:46:39] (step=0000446) Train Loss: 0.4574, Train Steps/Sec: 0.02, Epoch: 1.2965116279069768, LR: 0.001
[2025-04-19 02:46:46] (step=0000754) Train Loss: 1.0313, Train Steps/Sec: 0.03, Epoch: 2.191860465116279, LR: 0.001
[2025-04-19 02:47:15] (step=0000755) Train Loss: 0.8452, Train Steps/Sec: 0.03, Epoch: 2.1947674418604652, LR: 0.001
[2025-04-19 02:47:27] (step=0000447) Train Loss: 0.4738, Train Steps/Sec: 0.02, Epoch: 1.2994186046511629, LR: 0.001
[2025-04-19 02:47:45] (step=0000756) Train Loss: 0.8908, Train Steps/Sec: 0.03, Epoch: 2.197674418604651, LR: 0.001
[2025-04-19 02:48:15] (step=0000757) Train Loss: 0.8730, Train Steps/Sec: 0.03, Epoch: 2.2005813953488373, LR: 0.001
[2025-04-19 02:48:15] (step=0000448) Train Loss: 0.6165, Train Steps/Sec: 0.02, Epoch: 1.302325581395349, LR: 0.001
[2025-04-19 02:48:44] (step=0000758) Train Loss: 0.7515, Train Steps/Sec: 0.03, Epoch: 2.203488372093023, LR: 0.001
[2025-04-19 02:49:03] (step=0000449) Train Loss: 0.8253, Train Steps/Sec: 0.02, Epoch: 1.305232558139535, LR: 0.001
[2025-04-19 02:49:14] (step=0000759) Train Loss: 0.9289, Train Steps/Sec: 0.03, Epoch: 2.2063953488372094, LR: 0.001
[2025-04-19 02:49:44] (step=0000760) Train Loss: 1.1576, Train Steps/Sec: 0.03, Epoch: 2.2093023255813953, LR: 0.001
[2025-04-19 02:49:52] (step=0000450) Train Loss: 0.7851, Train Steps/Sec: 0.02, Epoch: 1.308139534883721, LR: 0.001
[2025-04-19 02:50:13] (step=0000761) Train Loss: 0.7168, Train Steps/Sec: 0.03, Epoch: 2.2122093023255816, LR: 0.001
[2025-04-19 02:50:40] (step=0000451) Train Loss: 0.6804, Train Steps/Sec: 0.02, Epoch: 1.311046511627907, LR: 0.001
[2025-04-19 02:50:43] (step=0000762) Train Loss: 0.5413, Train Steps/Sec: 0.03, Epoch: 2.2151162790697674, LR: 0.001
[2025-04-19 02:51:13] (step=0000763) Train Loss: 0.6639, Train Steps/Sec: 0.03, Epoch: 2.2180232558139537, LR: 0.001
[2025-04-19 02:51:28] (step=0000452) Train Loss: 0.7078, Train Steps/Sec: 0.02, Epoch: 1.313953488372093, LR: 0.001
[2025-04-19 02:51:42] (step=0000764) Train Loss: 0.6916, Train Steps/Sec: 0.03, Epoch: 2.2209302325581395, LR: 0.001
[2025-04-19 02:52:12] (step=0000765) Train Loss: 1.0540, Train Steps/Sec: 0.03, Epoch: 2.2238372093023258, LR: 0.001
[2025-04-19 02:52:17] (step=0000453) Train Loss: 0.6422, Train Steps/Sec: 0.02, Epoch: 1.316860465116279, LR: 0.001
[2025-04-19 02:52:42] (step=0000766) Train Loss: 0.8475, Train Steps/Sec: 0.03, Epoch: 2.2267441860465116, LR: 0.001
[2025-04-19 02:53:05] (step=0000454) Train Loss: 0.6893, Train Steps/Sec: 0.02, Epoch: 1.319767441860465, LR: 0.001
[2025-04-19 02:53:12] (step=0000767) Train Loss: 0.6708, Train Steps/Sec: 0.03, Epoch: 2.229651162790698, LR: 0.001
[2025-04-19 02:53:41] (step=0000768) Train Loss: 0.9718, Train Steps/Sec: 0.03, Epoch: 2.2325581395348837, LR: 0.001
[2025-04-19 02:53:54] (step=0000455) Train Loss: 0.4931, Train Steps/Sec: 0.02, Epoch: 1.322674418604651, LR: 0.001
[2025-04-19 02:54:10] (step=0000769) Train Loss: 0.6355, Train Steps/Sec: 0.03, Epoch: 2.23546511627907, LR: 0.001
[2025-04-19 02:54:40] (step=0000770) Train Loss: 0.9538, Train Steps/Sec: 0.03, Epoch: 2.238372093023256, LR: 0.001
[2025-04-19 02:54:42] (step=0000456) Train Loss: 0.7359, Train Steps/Sec: 0.02, Epoch: 1.3255813953488371, LR: 0.001
[2025-04-19 02:55:10] (step=0000771) Train Loss: 1.0142, Train Steps/Sec: 0.03, Epoch: 2.241279069767442, LR: 0.001
[2025-04-19 02:55:30] (step=0000457) Train Loss: 0.5239, Train Steps/Sec: 0.02, Epoch: 1.3284883720930232, LR: 0.001
[2025-04-19 02:55:40] (step=0000772) Train Loss: 0.4788, Train Steps/Sec: 0.03, Epoch: 2.244186046511628, LR: 0.001
[2025-04-19 02:56:09] (step=0000773) Train Loss: 0.6304, Train Steps/Sec: 0.03, Epoch: 2.247093023255814, LR: 0.001
[2025-04-19 02:56:18] (step=0000458) Train Loss: 0.4596, Train Steps/Sec: 0.02, Epoch: 1.3313953488372092, LR: 0.001
[2025-04-19 02:56:39] (step=0000774) Train Loss: 0.9227, Train Steps/Sec: 0.03, Epoch: 2.25, LR: 0.001
[2025-04-19 02:57:07] (step=0000459) Train Loss: 0.4859, Train Steps/Sec: 0.02, Epoch: 1.3343023255813953, LR: 0.001
[2025-04-19 02:57:09] (step=0000775) Train Loss: 0.6316, Train Steps/Sec: 0.03, Epoch: 2.252906976744186, LR: 0.001
[2025-04-19 02:57:39] (step=0000776) Train Loss: 0.6233, Train Steps/Sec: 0.03, Epoch: 2.255813953488372, LR: 0.001
[2025-04-19 02:57:55] (step=0000460) Train Loss: 0.8375, Train Steps/Sec: 0.02, Epoch: 1.3372093023255813, LR: 0.001
[2025-04-19 02:58:08] (step=0000777) Train Loss: 0.4612, Train Steps/Sec: 0.03, Epoch: 2.258720930232558, LR: 0.001
[2025-04-19 02:58:38] (step=0000778) Train Loss: 0.4682, Train Steps/Sec: 0.03, Epoch: 2.261627906976744, LR: 0.001
[2025-04-19 02:58:43] (step=0000461) Train Loss: 0.3944, Train Steps/Sec: 0.02, Epoch: 1.3401162790697674, LR: 0.001
[2025-04-19 02:59:08] (step=0000779) Train Loss: 0.6515, Train Steps/Sec: 0.03, Epoch: 2.26453488372093, LR: 0.001
[2025-04-19 02:59:31] (step=0000462) Train Loss: 0.4077, Train Steps/Sec: 0.02, Epoch: 1.3430232558139534, LR: 0.001
[2025-04-19 02:59:37] (step=0000780) Train Loss: 0.8440, Train Steps/Sec: 0.03, Epoch: 2.2674418604651163, LR: 0.001
[2025-04-19 03:00:07] (step=0000781) Train Loss: 0.8974, Train Steps/Sec: 0.03, Epoch: 2.270348837209302, LR: 0.001
[2025-04-19 03:00:19] (step=0000463) Train Loss: 0.6553, Train Steps/Sec: 0.02, Epoch: 1.3459302325581395, LR: 0.001
[2025-04-19 03:00:37] (step=0000782) Train Loss: 0.7433, Train Steps/Sec: 0.03, Epoch: 2.2732558139534884, LR: 0.001
[2025-04-19 03:01:07] (step=0000783) Train Loss: 0.8076, Train Steps/Sec: 0.03, Epoch: 2.2761627906976742, LR: 0.001
[2025-04-19 03:01:07] (step=0000464) Train Loss: 0.8181, Train Steps/Sec: 0.02, Epoch: 1.3488372093023255, LR: 0.001
[2025-04-19 03:01:37] (step=0000784) Train Loss: 0.5591, Train Steps/Sec: 0.03, Epoch: 2.2790697674418605, LR: 0.001
[2025-04-19 03:01:56] (step=0000465) Train Loss: 0.6571, Train Steps/Sec: 0.02, Epoch: 1.3517441860465116, LR: 0.001
[2025-04-19 03:02:06] (step=0000785) Train Loss: 0.5269, Train Steps/Sec: 0.03, Epoch: 2.2819767441860463, LR: 0.001
[2025-04-19 03:02:36] (step=0000786) Train Loss: 0.8509, Train Steps/Sec: 0.03, Epoch: 2.2848837209302326, LR: 0.001
[2025-04-19 03:02:44] (step=0000466) Train Loss: 0.4714, Train Steps/Sec: 0.02, Epoch: 1.3546511627906976, LR: 0.001
[2025-04-19 03:03:06] (step=0000787) Train Loss: 0.8940, Train Steps/Sec: 0.03, Epoch: 2.2877906976744184, LR: 0.001
[2025-04-19 03:03:32] (step=0000467) Train Loss: 0.8068, Train Steps/Sec: 0.02, Epoch: 1.3575581395348837, LR: 0.001
[2025-04-19 03:03:35] (step=0000788) Train Loss: 0.7166, Train Steps/Sec: 0.03, Epoch: 2.2906976744186047, LR: 0.001
[2025-04-19 03:04:05] (step=0000789) Train Loss: 0.8799, Train Steps/Sec: 0.03, Epoch: 2.2936046511627906, LR: 0.001
[2025-04-19 03:04:21] (step=0000468) Train Loss: 0.4432, Train Steps/Sec: 0.02, Epoch: 1.3604651162790697, LR: 0.001
[2025-04-19 03:04:35] (step=0000790) Train Loss: 0.8768, Train Steps/Sec: 0.03, Epoch: 2.296511627906977, LR: 0.001
[2025-04-19 03:05:04] (step=0000791) Train Loss: 0.5090, Train Steps/Sec: 0.03, Epoch: 2.2994186046511627, LR: 0.001
[2025-04-19 03:05:09] (step=0000469) Train Loss: 0.7643, Train Steps/Sec: 0.02, Epoch: 1.3633720930232558, LR: 0.001
[2025-04-19 03:05:34] (step=0000792) Train Loss: 0.8783, Train Steps/Sec: 0.03, Epoch: 2.302325581395349, LR: 0.001
[2025-04-19 03:05:57] (step=0000470) Train Loss: 0.5254, Train Steps/Sec: 0.02, Epoch: 1.3662790697674418, LR: 0.001
[2025-04-19 03:06:04] (step=0000793) Train Loss: 0.7419, Train Steps/Sec: 0.03, Epoch: 2.3052325581395348, LR: 0.001
[2025-04-19 03:06:33] (step=0000794) Train Loss: 0.7159, Train Steps/Sec: 0.03, Epoch: 2.308139534883721, LR: 0.001
[2025-04-19 03:06:45] (step=0000471) Train Loss: 0.8402, Train Steps/Sec: 0.02, Epoch: 1.369186046511628, LR: 0.001
[2025-04-19 03:07:03] (step=0000795) Train Loss: 0.8069, Train Steps/Sec: 0.03, Epoch: 2.311046511627907, LR: 0.001
[2025-04-19 03:07:33] (step=0000796) Train Loss: 0.7893, Train Steps/Sec: 0.03, Epoch: 2.313953488372093, LR: 0.001
[2025-04-19 03:07:33] (step=0000472) Train Loss: 0.6985, Train Steps/Sec: 0.02, Epoch: 1.372093023255814, LR: 0.001
[2025-04-19 03:08:02] (step=0000797) Train Loss: 0.8730, Train Steps/Sec: 0.03, Epoch: 2.316860465116279, LR: 0.001
[2025-04-19 03:08:22] (step=0000473) Train Loss: 0.7683, Train Steps/Sec: 0.02, Epoch: 1.375, LR: 0.001
[2025-04-19 03:08:32] (step=0000798) Train Loss: 0.7989, Train Steps/Sec: 0.03, Epoch: 2.3197674418604652, LR: 0.001
[2025-04-19 03:09:02] (step=0000799) Train Loss: 0.7541, Train Steps/Sec: 0.03, Epoch: 2.322674418604651, LR: 0.001
[2025-04-19 03:09:10] (step=0000474) Train Loss: 0.5373, Train Steps/Sec: 0.02, Epoch: 1.377906976744186, LR: 0.001
[2025-04-19 03:09:31] (step=0000800) Train Loss: 0.5772, Train Steps/Sec: 0.03, Epoch: 2.3255813953488373, LR: 0.001
[2025-04-19 03:09:44] Saved checkpoint to ./results/sfm_based//checkpoints/0000800/
[2025-04-19 03:09:58] (step=0000475) Train Loss: 0.6783, Train Steps/Sec: 0.02, Epoch: 1.380813953488372, LR: 0.001
[2025-04-19 03:10:14] (step=0000801) Train Loss: 0.8415, Train Steps/Sec: 0.02, Epoch: 2.328488372093023, LR: 0.001
[2025-04-19 03:10:43] (step=0000802) Train Loss: 0.8501, Train Steps/Sec: 0.03, Epoch: 2.3313953488372094, LR: 0.001
[2025-04-19 03:10:47] (step=0000476) Train Loss: 0.5943, Train Steps/Sec: 0.02, Epoch: 1.3837209302325582, LR: 0.001
[2025-04-19 03:11:13] (step=0000803) Train Loss: 0.6210, Train Steps/Sec: 0.03, Epoch: 2.3343023255813953, LR: 0.001
[2025-04-19 03:11:35] (step=0000477) Train Loss: 0.7981, Train Steps/Sec: 0.02, Epoch: 1.3866279069767442, LR: 0.001
[2025-04-19 03:11:43] (step=0000804) Train Loss: 0.7904, Train Steps/Sec: 0.03, Epoch: 2.3372093023255816, LR: 0.001
[2025-04-19 03:12:13] (step=0000805) Train Loss: 0.8771, Train Steps/Sec: 0.03, Epoch: 2.3401162790697674, LR: 0.001
[2025-04-19 03:12:23] (step=0000478) Train Loss: 0.5477, Train Steps/Sec: 0.02, Epoch: 1.3895348837209303, LR: 0.001
[2025-04-19 03:12:43] (step=0000806) Train Loss: 0.7966, Train Steps/Sec: 0.03, Epoch: 2.3430232558139537, LR: 0.001
[2025-04-19 03:13:11] (step=0000479) Train Loss: 0.5586, Train Steps/Sec: 0.02, Epoch: 1.3924418604651163, LR: 0.001
[2025-04-19 03:13:12] (step=0000807) Train Loss: 0.8359, Train Steps/Sec: 0.03, Epoch: 2.3459302325581395, LR: 0.001
[2025-04-19 03:13:42] (step=0000808) Train Loss: 0.6538, Train Steps/Sec: 0.03, Epoch: 2.3488372093023258, LR: 0.001
[2025-04-19 03:13:59] (step=0000480) Train Loss: 0.6375, Train Steps/Sec: 0.02, Epoch: 1.3953488372093024, LR: 0.001
[2025-04-19 03:14:12] (step=0000809) Train Loss: 0.8431, Train Steps/Sec: 0.03, Epoch: 2.3517441860465116, LR: 0.001
[2025-04-19 03:14:42] (step=0000810) Train Loss: 0.5090, Train Steps/Sec: 0.03, Epoch: 2.354651162790698, LR: 0.001
[2025-04-19 03:14:47] (step=0000481) Train Loss: 0.6242, Train Steps/Sec: 0.02, Epoch: 1.3982558139534884, LR: 0.001
[2025-04-19 03:15:11] (step=0000811) Train Loss: 0.6356, Train Steps/Sec: 0.03, Epoch: 2.3575581395348837, LR: 0.001
[2025-04-19 03:15:36] (step=0000482) Train Loss: 0.5046, Train Steps/Sec: 0.02, Epoch: 1.4011627906976745, LR: 0.001
[2025-04-19 03:15:41] (step=0000812) Train Loss: 0.8614, Train Steps/Sec: 0.03, Epoch: 2.36046511627907, LR: 0.001
[2025-04-19 03:16:10] (step=0000813) Train Loss: 0.4251, Train Steps/Sec: 0.03, Epoch: 2.363372093023256, LR: 0.001
[2025-04-19 03:16:24] (step=0000483) Train Loss: 0.7197, Train Steps/Sec: 0.02, Epoch: 1.4040697674418605, LR: 0.001
[2025-04-19 03:16:40] (step=0000814) Train Loss: 0.4874, Train Steps/Sec: 0.03, Epoch: 2.366279069767442, LR: 0.001
[2025-04-19 03:17:10] (step=0000815) Train Loss: 0.6389, Train Steps/Sec: 0.03, Epoch: 2.369186046511628, LR: 0.001
[2025-04-19 03:17:12] (step=0000484) Train Loss: 0.7774, Train Steps/Sec: 0.02, Epoch: 1.4069767441860466, LR: 0.001
[2025-04-19 03:17:39] (step=0000816) Train Loss: 0.4923, Train Steps/Sec: 0.03, Epoch: 2.372093023255814, LR: 0.001
[2025-04-19 03:18:00] (step=0000485) Train Loss: 0.7872, Train Steps/Sec: 0.02, Epoch: 1.4098837209302326, LR: 0.001
[2025-04-19 03:18:09] (step=0000817) Train Loss: 0.6044, Train Steps/Sec: 0.03, Epoch: 2.375, LR: 0.001
[2025-04-19 03:18:38] (step=0000818) Train Loss: 0.4810, Train Steps/Sec: 0.03, Epoch: 2.377906976744186, LR: 0.001
[2025-04-19 03:18:49] (step=0000486) Train Loss: 0.7936, Train Steps/Sec: 0.02, Epoch: 1.4127906976744187, LR: 0.001
[2025-04-19 03:19:08] (step=0000819) Train Loss: 0.7062, Train Steps/Sec: 0.03, Epoch: 2.380813953488372, LR: 0.001
[2025-04-19 03:19:37] (step=0000487) Train Loss: 0.6057, Train Steps/Sec: 0.02, Epoch: 1.4156976744186047, LR: 0.001
[2025-04-19 03:19:38] (step=0000820) Train Loss: 0.7011, Train Steps/Sec: 0.03, Epoch: 2.383720930232558, LR: 0.001
[2025-04-19 03:20:07] (step=0000821) Train Loss: 0.5248, Train Steps/Sec: 0.03, Epoch: 2.386627906976744, LR: 0.001
[2025-04-19 03:20:25] (step=0000488) Train Loss: 0.5633, Train Steps/Sec: 0.02, Epoch: 1.4186046511627908, LR: 0.001
[2025-04-19 03:20:37] (step=0000822) Train Loss: 0.8299, Train Steps/Sec: 0.03, Epoch: 2.38953488372093, LR: 0.001
[2025-04-19 03:21:07] (step=0000823) Train Loss: 0.4983, Train Steps/Sec: 0.03, Epoch: 2.3924418604651163, LR: 0.001
[2025-04-19 03:21:14] (step=0000489) Train Loss: 0.5202, Train Steps/Sec: 0.02, Epoch: 1.4215116279069768, LR: 0.001
[2025-04-19 03:21:36] (step=0000824) Train Loss: 0.6209, Train Steps/Sec: 0.03, Epoch: 2.395348837209302, LR: 0.001
[2025-04-19 03:22:02] (step=0000490) Train Loss: 0.8213, Train Steps/Sec: 0.02, Epoch: 1.4244186046511629, LR: 0.001
[2025-04-19 03:22:06] (step=0000825) Train Loss: 0.8308, Train Steps/Sec: 0.03, Epoch: 2.3982558139534884, LR: 0.001
[2025-04-19 03:22:36] (step=0000826) Train Loss: 0.5950, Train Steps/Sec: 0.03, Epoch: 2.4011627906976742, LR: 0.001
[2025-04-19 03:22:50] (step=0000491) Train Loss: 0.4685, Train Steps/Sec: 0.02, Epoch: 1.427325581395349, LR: 0.001
[2025-04-19 03:23:05] (step=0000827) Train Loss: 0.7914, Train Steps/Sec: 0.03, Epoch: 2.4040697674418605, LR: 0.001
[2025-04-19 03:23:35] (step=0000828) Train Loss: 0.8191, Train Steps/Sec: 0.03, Epoch: 2.4069767441860463, LR: 0.001
[2025-04-19 03:23:38] (step=0000492) Train Loss: 0.7022, Train Steps/Sec: 0.02, Epoch: 1.430232558139535, LR: 0.001
[2025-04-19 03:24:05] (step=0000829) Train Loss: 0.5726, Train Steps/Sec: 0.03, Epoch: 2.4098837209302326, LR: 0.001
[2025-04-19 03:24:26] (step=0000493) Train Loss: 0.5752, Train Steps/Sec: 0.02, Epoch: 1.433139534883721, LR: 0.001
[2025-04-19 03:24:34] (step=0000830) Train Loss: 0.4055, Train Steps/Sec: 0.03, Epoch: 2.4127906976744184, LR: 0.001
[2025-04-19 03:25:04] (step=0000831) Train Loss: 0.5620, Train Steps/Sec: 0.03, Epoch: 2.4156976744186047, LR: 0.001
[2025-04-19 03:25:15] (step=0000494) Train Loss: 0.6116, Train Steps/Sec: 0.02, Epoch: 1.436046511627907, LR: 0.001
[2025-04-19 03:25:33] (step=0000832) Train Loss: 0.9083, Train Steps/Sec: 0.03, Epoch: 2.4186046511627906, LR: 0.001
[2025-04-19 03:26:03] (step=0000833) Train Loss: 0.8679, Train Steps/Sec: 0.03, Epoch: 2.421511627906977, LR: 0.001
[2025-04-19 03:26:03] (step=0000495) Train Loss: 0.7873, Train Steps/Sec: 0.02, Epoch: 1.438953488372093, LR: 0.001
[2025-04-19 03:26:33] (step=0000834) Train Loss: 0.4859, Train Steps/Sec: 0.03, Epoch: 2.4244186046511627, LR: 0.001
[2025-04-19 03:26:51] (step=0000496) Train Loss: 0.6805, Train Steps/Sec: 0.02, Epoch: 1.441860465116279, LR: 0.001
[2025-04-19 03:27:02] (step=0000835) Train Loss: 0.5868, Train Steps/Sec: 0.03, Epoch: 2.427325581395349, LR: 0.001
[2025-04-19 03:27:32] (step=0000836) Train Loss: 0.8532, Train Steps/Sec: 0.03, Epoch: 2.4302325581395348, LR: 0.001
[2025-04-19 03:27:39] (step=0000497) Train Loss: 0.8132, Train Steps/Sec: 0.02, Epoch: 1.444767441860465, LR: 0.001
[2025-04-19 03:28:01] (step=0000837) Train Loss: 0.7363, Train Steps/Sec: 0.03, Epoch: 2.433139534883721, LR: 0.001
[2025-04-19 03:28:27] (step=0000498) Train Loss: 0.5537, Train Steps/Sec: 0.02, Epoch: 1.447674418604651, LR: 0.001
[2025-04-19 03:28:31] (step=0000838) Train Loss: 0.5533, Train Steps/Sec: 0.03, Epoch: 2.436046511627907, LR: 0.001
[2025-04-19 03:29:01] (step=0000839) Train Loss: 0.4843, Train Steps/Sec: 0.03, Epoch: 2.438953488372093, LR: 0.001
[2025-04-19 03:29:15] (step=0000499) Train Loss: 0.5922, Train Steps/Sec: 0.02, Epoch: 1.4505813953488371, LR: 0.001
[2025-04-19 03:29:31] (step=0000840) Train Loss: 0.6229, Train Steps/Sec: 0.03, Epoch: 2.441860465116279, LR: 0.001
[2025-04-19 03:30:00] (step=0000841) Train Loss: 0.7143, Train Steps/Sec: 0.03, Epoch: 2.4447674418604652, LR: 0.001
[2025-04-19 03:30:04] (step=0000500) Train Loss: 0.6924, Train Steps/Sec: 0.02, Epoch: 1.4534883720930232, LR: 0.001
[2025-04-19 03:30:30] (step=0000842) Train Loss: 0.7712, Train Steps/Sec: 0.03, Epoch: 2.447674418604651, LR: 0.001
[2025-04-19 03:30:52] (step=0000501) Train Loss: 0.8089, Train Steps/Sec: 0.02, Epoch: 1.4563953488372092, LR: 0.001
[2025-04-19 03:31:00] (step=0000843) Train Loss: 0.8103, Train Steps/Sec: 0.03, Epoch: 2.4505813953488373, LR: 0.001
[2025-04-19 03:31:30] (step=0000844) Train Loss: 0.5797, Train Steps/Sec: 0.03, Epoch: 2.453488372093023, LR: 0.001
[2025-04-19 03:31:40] (step=0000502) Train Loss: 0.4038, Train Steps/Sec: 0.02, Epoch: 1.4593023255813953, LR: 0.001
[2025-04-19 03:32:00] (step=0000845) Train Loss: 0.8140, Train Steps/Sec: 0.03, Epoch: 2.4563953488372094, LR: 0.001
[2025-04-19 03:32:28] (step=0000503) Train Loss: 0.4974, Train Steps/Sec: 0.02, Epoch: 1.4622093023255813, LR: 0.001
[2025-04-19 03:32:29] (step=0000846) Train Loss: 0.5846, Train Steps/Sec: 0.03, Epoch: 2.4593023255813953, LR: 0.001
[2025-04-19 03:32:59] (step=0000847) Train Loss: 0.4775, Train Steps/Sec: 0.03, Epoch: 2.4622093023255816, LR: 0.001
[2025-04-19 03:33:17] (step=0000504) Train Loss: 0.7102, Train Steps/Sec: 0.02, Epoch: 1.4651162790697674, LR: 0.001
[2025-04-19 03:33:29] (step=0000848) Train Loss: 0.5413, Train Steps/Sec: 0.03, Epoch: 2.4651162790697674, LR: 0.001
[2025-04-19 03:33:58] (step=0000849) Train Loss: 0.7516, Train Steps/Sec: 0.03, Epoch: 2.4680232558139537, LR: 0.001
[2025-04-19 03:34:05] (step=0000505) Train Loss: 0.4756, Train Steps/Sec: 0.02, Epoch: 1.4680232558139534, LR: 0.001
[2025-04-19 03:34:28] (step=0000850) Train Loss: 0.8190, Train Steps/Sec: 0.03, Epoch: 2.4709302325581395, LR: 0.001
[2025-04-19 03:34:53] (step=0000506) Train Loss: 0.5030, Train Steps/Sec: 0.02, Epoch: 1.4709302325581395, LR: 0.001
[2025-04-19 03:34:58] (step=0000851) Train Loss: 0.6257, Train Steps/Sec: 0.03, Epoch: 2.4738372093023258, LR: 0.001
[2025-04-19 03:35:27] (step=0000852) Train Loss: 0.6249, Train Steps/Sec: 0.03, Epoch: 2.4767441860465116, LR: 0.001
[2025-04-19 03:35:42] (step=0000507) Train Loss: 0.7195, Train Steps/Sec: 0.02, Epoch: 1.4738372093023255, LR: 0.001
[2025-04-19 03:35:57] (step=0000853) Train Loss: 0.8280, Train Steps/Sec: 0.03, Epoch: 2.479651162790698, LR: 0.001
[2025-04-19 03:36:27] (step=0000854) Train Loss: 0.6609, Train Steps/Sec: 0.03, Epoch: 2.4825581395348837, LR: 0.001
[2025-04-19 03:36:30] (step=0000508) Train Loss: 0.5933, Train Steps/Sec: 0.02, Epoch: 1.4767441860465116, LR: 0.001
[2025-04-19 03:36:57] (step=0000855) Train Loss: 0.4912, Train Steps/Sec: 0.03, Epoch: 2.48546511627907, LR: 0.001
[2025-04-19 03:37:18] (step=0000509) Train Loss: 0.2182, Train Steps/Sec: 0.02, Epoch: 1.4796511627906976, LR: 0.001
[2025-04-19 03:37:26] (step=0000856) Train Loss: 0.8106, Train Steps/Sec: 0.03, Epoch: 2.488372093023256, LR: 0.001
[2025-04-19 03:37:56] (step=0000857) Train Loss: 0.6187, Train Steps/Sec: 0.03, Epoch: 2.491279069767442, LR: 0.001
[2025-04-19 03:38:06] (step=0000510) Train Loss: 0.7132, Train Steps/Sec: 0.02, Epoch: 1.4825581395348837, LR: 0.001
[2025-04-19 03:38:26] (step=0000858) Train Loss: 0.5944, Train Steps/Sec: 0.03, Epoch: 2.494186046511628, LR: 0.001
[2025-04-19 03:38:55] (step=0000511) Train Loss: 0.5836, Train Steps/Sec: 0.02, Epoch: 1.4854651162790697, LR: 0.001
[2025-04-19 03:38:56] (step=0000859) Train Loss: 0.5321, Train Steps/Sec: 0.03, Epoch: 2.497093023255814, LR: 0.001
[2025-04-19 03:39:25] (step=0000860) Train Loss: 0.8706, Train Steps/Sec: 0.03, Epoch: 2.5, LR: 0.001
[2025-04-19 03:39:43] (step=0000512) Train Loss: 0.8029, Train Steps/Sec: 0.02, Epoch: 1.4883720930232558, LR: 0.001
[2025-04-19 03:39:55] (step=0000861) Train Loss: 0.5517, Train Steps/Sec: 0.03, Epoch: 2.502906976744186, LR: 0.001
[2025-04-19 03:40:25] (step=0000862) Train Loss: 0.4845, Train Steps/Sec: 0.03, Epoch: 2.505813953488372, LR: 0.001
[2025-04-19 03:40:31] (step=0000513) Train Loss: 0.8622, Train Steps/Sec: 0.02, Epoch: 1.4912790697674418, LR: 0.001
[2025-04-19 03:40:55] (step=0000863) Train Loss: 0.4775, Train Steps/Sec: 0.03, Epoch: 2.508720930232558, LR: 0.001
[2025-04-19 03:41:19] (step=0000514) Train Loss: 0.2617, Train Steps/Sec: 0.02, Epoch: 1.494186046511628, LR: 0.001
[2025-04-19 03:41:24] (step=0000864) Train Loss: 0.7764, Train Steps/Sec: 0.03, Epoch: 2.511627906976744, LR: 0.001
[2025-04-19 03:41:54] (step=0000865) Train Loss: 0.8198, Train Steps/Sec: 0.03, Epoch: 2.51453488372093, LR: 0.001
[2025-04-19 03:42:07] (step=0000515) Train Loss: 0.6595, Train Steps/Sec: 0.02, Epoch: 1.497093023255814, LR: 0.001
[2025-04-19 03:42:23] (step=0000866) Train Loss: 0.5447, Train Steps/Sec: 0.03, Epoch: 2.5174418604651163, LR: 0.001
[2025-04-19 03:42:53] (step=0000867) Train Loss: 0.5480, Train Steps/Sec: 0.03, Epoch: 2.520348837209302, LR: 0.001
[2025-04-19 03:42:55] (step=0000516) Train Loss: 0.5670, Train Steps/Sec: 0.02, Epoch: 1.5, LR: 0.001
[2025-04-19 03:43:23] (step=0000868) Train Loss: 0.6920, Train Steps/Sec: 0.03, Epoch: 2.5232558139534884, LR: 0.001
[2025-04-19 03:43:44] (step=0000517) Train Loss: 0.7895, Train Steps/Sec: 0.02, Epoch: 1.502906976744186, LR: 0.001
[2025-04-19 03:43:53] (step=0000869) Train Loss: 0.7600, Train Steps/Sec: 0.03, Epoch: 2.5261627906976742, LR: 0.001
[2025-04-19 03:44:22] (step=0000870) Train Loss: 0.6729, Train Steps/Sec: 0.03, Epoch: 2.5290697674418605, LR: 0.001
[2025-04-19 03:44:32] (step=0000518) Train Loss: 0.6684, Train Steps/Sec: 0.02, Epoch: 1.505813953488372, LR: 0.001
[2025-04-19 03:44:52] (step=0000871) Train Loss: 0.5630, Train Steps/Sec: 0.03, Epoch: 2.5319767441860463, LR: 0.001
[2025-04-19 03:45:21] (step=0000519) Train Loss: 0.7175, Train Steps/Sec: 0.02, Epoch: 1.5087209302325582, LR: 0.001
[2025-04-19 03:45:22] (step=0000872) Train Loss: 0.7819, Train Steps/Sec: 0.03, Epoch: 2.5348837209302326, LR: 0.001
[2025-04-19 03:45:51] (step=0000873) Train Loss: 0.7506, Train Steps/Sec: 0.03, Epoch: 2.5377906976744184, LR: 0.001
[2025-04-19 03:46:09] (step=0000520) Train Loss: 0.6240, Train Steps/Sec: 0.02, Epoch: 1.5116279069767442, LR: 0.001
[2025-04-19 03:46:21] (step=0000874) Train Loss: 0.5817, Train Steps/Sec: 0.03, Epoch: 2.5406976744186047, LR: 0.001
[2025-04-19 03:46:51] (step=0000875) Train Loss: 0.7377, Train Steps/Sec: 0.03, Epoch: 2.5436046511627906, LR: 0.001
[2025-04-19 03:46:57] (step=0000521) Train Loss: 0.6072, Train Steps/Sec: 0.02, Epoch: 1.5145348837209303, LR: 0.001
[2025-04-19 03:47:20] (step=0000876) Train Loss: 0.7675, Train Steps/Sec: 0.03, Epoch: 2.546511627906977, LR: 0.001
[2025-04-19 03:47:45] (step=0000522) Train Loss: 0.7719, Train Steps/Sec: 0.02, Epoch: 1.5174418604651163, LR: 0.001
[2025-04-19 03:47:50] (step=0000877) Train Loss: 0.8287, Train Steps/Sec: 0.03, Epoch: 2.5494186046511627, LR: 0.001
[2025-04-19 03:48:20] (step=0000878) Train Loss: 0.6953, Train Steps/Sec: 0.03, Epoch: 2.552325581395349, LR: 0.001
[2025-04-19 03:48:29] (step=0000879) Train Loss: 0.7355, Train Steps/Sec: 0.10, Epoch: 2.5552325581395348, LR: 0.001
[2025-04-19 03:48:34] (step=0000523) Train Loss: 0.5524, Train Steps/Sec: 0.02, Epoch: 1.5203488372093024, LR: 0.001
[2025-04-19 03:48:59] (step=0000880) Train Loss: 0.7580, Train Steps/Sec: 0.03, Epoch: 2.558139534883721, LR: 0.001
[2025-04-19 03:49:22] (step=0000524) Train Loss: 0.6958, Train Steps/Sec: 0.02, Epoch: 1.5232558139534884, LR: 0.001
[2025-04-19 03:49:29] (step=0000881) Train Loss: 0.4638, Train Steps/Sec: 0.03, Epoch: 2.561046511627907, LR: 0.001
[2025-04-19 03:49:59] (step=0000882) Train Loss: 0.8650, Train Steps/Sec: 0.03, Epoch: 2.563953488372093, LR: 0.001
[2025-04-19 03:50:10] (step=0000525) Train Loss: 0.7036, Train Steps/Sec: 0.02, Epoch: 1.5261627906976745, LR: 0.001
[2025-04-19 03:50:28] (step=0000883) Train Loss: 0.5936, Train Steps/Sec: 0.03, Epoch: 2.566860465116279, LR: 0.001
[2025-04-19 03:50:58] (step=0000884) Train Loss: 0.6215, Train Steps/Sec: 0.03, Epoch: 2.5697674418604652, LR: 0.001
[2025-04-19 03:50:58] (step=0000526) Train Loss: 0.8161, Train Steps/Sec: 0.02, Epoch: 1.5290697674418605, LR: 0.001
[2025-04-19 03:51:27] (step=0000885) Train Loss: 0.8260, Train Steps/Sec: 0.03, Epoch: 2.572674418604651, LR: 0.001
[2025-04-19 03:51:47] (step=0000527) Train Loss: 0.7046, Train Steps/Sec: 0.02, Epoch: 1.5319767441860466, LR: 0.001
[2025-04-19 03:51:57] (step=0000886) Train Loss: 0.6280, Train Steps/Sec: 0.03, Epoch: 2.5755813953488373, LR: 0.001
[2025-04-19 03:52:27] (step=0000887) Train Loss: 0.8109, Train Steps/Sec: 0.03, Epoch: 2.578488372093023, LR: 0.001
[2025-04-19 03:52:35] (step=0000528) Train Loss: 0.8539, Train Steps/Sec: 0.02, Epoch: 1.5348837209302326, LR: 0.001
[2025-04-19 03:52:56] (step=0000888) Train Loss: 0.5911, Train Steps/Sec: 0.03, Epoch: 2.5813953488372094, LR: 0.001
[2025-04-19 03:53:23] (step=0000529) Train Loss: 0.7552, Train Steps/Sec: 0.02, Epoch: 1.5377906976744187, LR: 0.001
[2025-04-19 03:53:26] (step=0000889) Train Loss: 0.7933, Train Steps/Sec: 0.03, Epoch: 2.5843023255813953, LR: 0.001
[2025-04-19 03:53:55] (step=0000890) Train Loss: 0.4687, Train Steps/Sec: 0.03, Epoch: 2.5872093023255816, LR: 0.001
[2025-04-19 03:54:12] (step=0000530) Train Loss: 0.7933, Train Steps/Sec: 0.02, Epoch: 1.5406976744186047, LR: 0.001
[2025-04-19 03:54:25] (step=0000891) Train Loss: 0.5572, Train Steps/Sec: 0.03, Epoch: 2.5901162790697674, LR: 0.001
[2025-04-19 03:54:55] (step=0000892) Train Loss: 0.7868, Train Steps/Sec: 0.03, Epoch: 2.5930232558139537, LR: 0.001
[2025-04-19 03:55:00] (step=0000531) Train Loss: 0.7633, Train Steps/Sec: 0.02, Epoch: 1.5436046511627908, LR: 0.001
[2025-04-19 03:55:25] (step=0000893) Train Loss: 0.6171, Train Steps/Sec: 0.03, Epoch: 2.5959302325581395, LR: 0.001
[2025-04-19 03:55:48] (step=0000532) Train Loss: 0.5343, Train Steps/Sec: 0.02, Epoch: 1.5465116279069768, LR: 0.001
[2025-04-19 03:55:54] (step=0000894) Train Loss: 0.7107, Train Steps/Sec: 0.03, Epoch: 2.5988372093023258, LR: 0.001
[2025-04-19 03:56:24] (step=0000895) Train Loss: 0.7652, Train Steps/Sec: 0.03, Epoch: 2.6017441860465116, LR: 0.001
[2025-04-19 03:56:37] (step=0000533) Train Loss: 0.4364, Train Steps/Sec: 0.02, Epoch: 1.5494186046511629, LR: 0.001
[2025-04-19 03:56:54] (step=0000896) Train Loss: 0.7181, Train Steps/Sec: 0.03, Epoch: 2.604651162790698, LR: 0.001
[2025-04-19 03:57:23] (step=0000897) Train Loss: 0.5942, Train Steps/Sec: 0.03, Epoch: 2.6075581395348837, LR: 0.001
[2025-04-19 03:57:25] (step=0000534) Train Loss: 0.7861, Train Steps/Sec: 0.02, Epoch: 1.552325581395349, LR: 0.001
[2025-04-19 03:57:53] (step=0000898) Train Loss: 0.5547, Train Steps/Sec: 0.03, Epoch: 2.61046511627907, LR: 0.001
[2025-04-19 03:58:13] (step=0000535) Train Loss: 0.8155, Train Steps/Sec: 0.02, Epoch: 1.555232558139535, LR: 0.001
[2025-04-19 03:58:23] (step=0000899) Train Loss: 0.5006, Train Steps/Sec: 0.03, Epoch: 2.613372093023256, LR: 0.001
[2025-04-19 03:58:52] (step=0000900) Train Loss: 0.7138, Train Steps/Sec: 0.03, Epoch: 2.616279069767442, LR: 0.001
[2025-04-19 03:59:01] (step=0000536) Train Loss: 0.7433, Train Steps/Sec: 0.02, Epoch: 1.558139534883721, LR: 0.001
[2025-04-19 03:59:22] (step=0000901) Train Loss: 0.6868, Train Steps/Sec: 0.03, Epoch: 2.619186046511628, LR: 0.001
[2025-04-19 03:59:50] (step=0000537) Train Loss: 0.6532, Train Steps/Sec: 0.02, Epoch: 1.561046511627907, LR: 0.001
[2025-04-19 03:59:51] (step=0000902) Train Loss: 0.6305, Train Steps/Sec: 0.03, Epoch: 2.622093023255814, LR: 0.001
[2025-04-19 04:00:01] (step=0000903) Train Loss: 0.5431, Train Steps/Sec: 0.10, Epoch: 2.625, LR: 0.001
[2025-04-19 04:00:31] (step=0000904) Train Loss: 0.7144, Train Steps/Sec: 0.03, Epoch: 2.627906976744186, LR: 0.001
[2025-04-19 04:00:38] (step=0000538) Train Loss: 0.6969, Train Steps/Sec: 0.02, Epoch: 1.563953488372093, LR: 0.001
[2025-04-19 04:01:01] (step=0000905) Train Loss: 0.8225, Train Steps/Sec: 0.03, Epoch: 2.630813953488372, LR: 0.001
[2025-04-19 04:01:26] (step=0000539) Train Loss: 0.7530, Train Steps/Sec: 0.02, Epoch: 1.566860465116279, LR: 0.001
[2025-04-19 04:01:30] (step=0000906) Train Loss: 0.4697, Train Steps/Sec: 0.03, Epoch: 2.633720930232558, LR: 0.001
[2025-04-19 04:02:00] (step=0000907) Train Loss: 0.8970, Train Steps/Sec: 0.03, Epoch: 2.636627906976744, LR: 0.001
[2025-04-19 04:02:14] (step=0000540) Train Loss: 0.6177, Train Steps/Sec: 0.02, Epoch: 1.569767441860465, LR: 0.001
[2025-04-19 04:02:30] (step=0000908) Train Loss: 0.8138, Train Steps/Sec: 0.03, Epoch: 2.63953488372093, LR: 0.001
[2025-04-19 04:03:00] (step=0000909) Train Loss: 0.6566, Train Steps/Sec: 0.03, Epoch: 2.6424418604651163, LR: 0.001
[2025-04-19 04:03:02] (step=0000541) Train Loss: 0.4606, Train Steps/Sec: 0.02, Epoch: 1.572674418604651, LR: 0.001
[2025-04-19 04:03:30] (step=0000910) Train Loss: 0.7263, Train Steps/Sec: 0.03, Epoch: 2.645348837209302, LR: 0.001
[2025-04-19 04:03:51] (step=0000542) Train Loss: 0.5115, Train Steps/Sec: 0.02, Epoch: 1.5755813953488371, LR: 0.001
[2025-04-19 04:03:59] (step=0000911) Train Loss: 0.8669, Train Steps/Sec: 0.03, Epoch: 2.6482558139534884, LR: 0.001
[2025-04-19 04:04:29] (step=0000912) Train Loss: 0.7990, Train Steps/Sec: 0.03, Epoch: 2.6511627906976742, LR: 0.001
[2025-04-19 04:04:39] (step=0000543) Train Loss: 0.7567, Train Steps/Sec: 0.02, Epoch: 1.5784883720930232, LR: 0.001
[2025-04-19 04:04:59] (step=0000913) Train Loss: 0.7251, Train Steps/Sec: 0.03, Epoch: 2.6540697674418605, LR: 0.001
[2025-04-19 04:05:27] (step=0000544) Train Loss: 0.4816, Train Steps/Sec: 0.02, Epoch: 1.5813953488372092, LR: 0.001
[2025-04-19 04:05:28] (step=0000914) Train Loss: 0.8557, Train Steps/Sec: 0.03, Epoch: 2.6569767441860463, LR: 0.001
[2025-04-19 04:05:58] (step=0000915) Train Loss: 0.8544, Train Steps/Sec: 0.03, Epoch: 2.6598837209302326, LR: 0.001
[2025-04-19 04:06:15] (step=0000545) Train Loss: 0.4214, Train Steps/Sec: 0.02, Epoch: 1.5843023255813953, LR: 0.001
[2025-04-19 04:06:28] (step=0000916) Train Loss: 0.8636, Train Steps/Sec: 0.03, Epoch: 2.6627906976744184, LR: 0.001
[2025-04-19 04:06:57] (step=0000917) Train Loss: 0.5550, Train Steps/Sec: 0.03, Epoch: 2.6656976744186047, LR: 0.001
[2025-04-19 04:07:03] (step=0000546) Train Loss: 0.8007, Train Steps/Sec: 0.02, Epoch: 1.5872093023255813, LR: 0.001
[2025-04-19 04:07:27] (step=0000918) Train Loss: 0.6369, Train Steps/Sec: 0.03, Epoch: 2.6686046511627906, LR: 0.001
[2025-04-19 04:07:52] (step=0000547) Train Loss: 0.6392, Train Steps/Sec: 0.02, Epoch: 1.5901162790697674, LR: 0.001
[2025-04-19 04:07:57] (step=0000919) Train Loss: 0.7746, Train Steps/Sec: 0.03, Epoch: 2.671511627906977, LR: 0.001
[2025-04-19 04:08:26] (step=0000920) Train Loss: 0.8097, Train Steps/Sec: 0.03, Epoch: 2.6744186046511627, LR: 0.001
[2025-04-19 04:08:40] (step=0000548) Train Loss: 0.7999, Train Steps/Sec: 0.02, Epoch: 1.5930232558139534, LR: 0.001
[2025-04-19 04:08:56] (step=0000921) Train Loss: 0.8365, Train Steps/Sec: 0.03, Epoch: 2.677325581395349, LR: 0.001
[2025-04-19 04:09:26] (step=0000922) Train Loss: 0.5173, Train Steps/Sec: 0.03, Epoch: 2.6802325581395348, LR: 0.001
[2025-04-19 04:09:28] (step=0000549) Train Loss: 0.4917, Train Steps/Sec: 0.02, Epoch: 1.5959302325581395, LR: 0.001
[2025-04-19 04:09:56] (step=0000923) Train Loss: 0.7620, Train Steps/Sec: 0.03, Epoch: 2.683139534883721, LR: 0.001
[2025-04-19 04:10:16] (step=0000550) Train Loss: 0.6994, Train Steps/Sec: 0.02, Epoch: 1.5988372093023255, LR: 0.001
[2025-04-19 04:10:25] (step=0000924) Train Loss: 0.6345, Train Steps/Sec: 0.03, Epoch: 2.686046511627907, LR: 0.001
[2025-04-19 04:10:55] (step=0000925) Train Loss: 0.8205, Train Steps/Sec: 0.03, Epoch: 2.688953488372093, LR: 0.001
[2025-04-19 04:11:05] (step=0000551) Train Loss: 0.7855, Train Steps/Sec: 0.02, Epoch: 1.6017441860465116, LR: 0.001
[2025-04-19 04:11:25] (step=0000926) Train Loss: 0.7934, Train Steps/Sec: 0.03, Epoch: 2.691860465116279, LR: 0.001
[2025-04-19 04:11:53] (step=0000552) Train Loss: 0.7841, Train Steps/Sec: 0.02, Epoch: 1.6046511627906976, LR: 0.001
[2025-04-19 04:11:55] (step=0000927) Train Loss: 0.6232, Train Steps/Sec: 0.03, Epoch: 2.6947674418604652, LR: 0.001
[2025-04-19 04:12:24] (step=0000928) Train Loss: 0.4469, Train Steps/Sec: 0.03, Epoch: 2.697674418604651, LR: 0.001
[2025-04-19 04:12:41] (step=0000553) Train Loss: 0.5823, Train Steps/Sec: 0.02, Epoch: 1.6075581395348837, LR: 0.001
[2025-04-19 04:12:54] (step=0000929) Train Loss: 0.4592, Train Steps/Sec: 0.03, Epoch: 2.7005813953488373, LR: 0.001
[2025-04-19 04:13:24] (step=0000930) Train Loss: 0.6357, Train Steps/Sec: 0.03, Epoch: 2.703488372093023, LR: 0.001
[2025-04-19 04:13:30] (step=0000554) Train Loss: 0.7211, Train Steps/Sec: 0.02, Epoch: 1.6104651162790697, LR: 0.001
[2025-04-19 04:13:53] (step=0000931) Train Loss: 0.7568, Train Steps/Sec: 0.03, Epoch: 2.7063953488372094, LR: 0.001
[2025-04-19 04:14:18] (step=0000555) Train Loss: 0.4779, Train Steps/Sec: 0.02, Epoch: 1.6133720930232558, LR: 0.001
[2025-04-19 04:14:23] (step=0000932) Train Loss: 0.5966, Train Steps/Sec: 0.03, Epoch: 2.7093023255813953, LR: 0.001
[2025-04-19 04:14:53] (step=0000933) Train Loss: 0.7030, Train Steps/Sec: 0.03, Epoch: 2.7122093023255816, LR: 0.001
[2025-04-19 04:15:06] (step=0000556) Train Loss: 0.5196, Train Steps/Sec: 0.02, Epoch: 1.6162790697674418, LR: 0.001
[2025-04-19 04:15:23] (step=0000934) Train Loss: 0.7986, Train Steps/Sec: 0.03, Epoch: 2.7151162790697674, LR: 0.001
[2025-04-19 04:15:52] (step=0000935) Train Loss: 0.5569, Train Steps/Sec: 0.03, Epoch: 2.7180232558139537, LR: 0.001
[2025-04-19 04:15:54] (step=0000557) Train Loss: 0.5826, Train Steps/Sec: 0.02, Epoch: 1.619186046511628, LR: 0.001
[2025-04-19 04:16:22] (step=0000936) Train Loss: 0.6869, Train Steps/Sec: 0.03, Epoch: 2.7209302325581395, LR: 0.001
[2025-04-19 04:16:43] (step=0000558) Train Loss: 0.7982, Train Steps/Sec: 0.02, Epoch: 1.622093023255814, LR: 0.001
[2025-04-19 04:16:51] (step=0000937) Train Loss: 0.8811, Train Steps/Sec: 0.03, Epoch: 2.7238372093023258, LR: 0.001
[2025-04-19 04:17:21] (step=0000938) Train Loss: 0.8020, Train Steps/Sec: 0.03, Epoch: 2.7267441860465116, LR: 0.001
[2025-04-19 04:17:31] (step=0000559) Train Loss: 0.6949, Train Steps/Sec: 0.02, Epoch: 1.625, LR: 0.001
[2025-04-19 04:17:51] (step=0000939) Train Loss: 0.8292, Train Steps/Sec: 0.03, Epoch: 2.729651162790698, LR: 0.001
[2025-04-19 04:18:19] (step=0000560) Train Loss: 0.6004, Train Steps/Sec: 0.02, Epoch: 1.627906976744186, LR: 0.001
[2025-04-19 04:18:20] (step=0000940) Train Loss: 0.7021, Train Steps/Sec: 0.03, Epoch: 2.7325581395348837, LR: 0.001
[2025-04-19 04:18:50] (step=0000941) Train Loss: 0.8422, Train Steps/Sec: 0.03, Epoch: 2.73546511627907, LR: 0.001
[2025-04-19 04:19:08] (step=0000561) Train Loss: 0.5475, Train Steps/Sec: 0.02, Epoch: 1.630813953488372, LR: 0.001
[2025-04-19 04:19:19] (step=0000942) Train Loss: 0.8345, Train Steps/Sec: 0.03, Epoch: 2.738372093023256, LR: 0.001
[2025-04-19 04:19:49] (step=0000943) Train Loss: 0.7382, Train Steps/Sec: 0.03, Epoch: 2.741279069767442, LR: 0.001
[2025-04-19 04:19:56] (step=0000562) Train Loss: 0.7080, Train Steps/Sec: 0.02, Epoch: 1.6337209302325582, LR: 0.001
[2025-04-19 04:20:15] (step=0000563) Train Loss: 0.6460, Train Steps/Sec: 0.05, Epoch: 1.6366279069767442, LR: 0.001
[2025-04-19 04:20:18] (step=0000944) Train Loss: 0.4966, Train Steps/Sec: 0.03, Epoch: 2.744186046511628, LR: 0.001
[2025-04-19 04:20:48] (step=0000945) Train Loss: 0.7027, Train Steps/Sec: 0.03, Epoch: 2.747093023255814, LR: 0.001
[2025-04-19 04:21:03] (step=0000564) Train Loss: 0.8279, Train Steps/Sec: 0.02, Epoch: 1.6395348837209303, LR: 0.001
[2025-04-19 04:21:18] (step=0000946) Train Loss: 0.5445, Train Steps/Sec: 0.03, Epoch: 2.75, LR: 0.001
[2025-04-19 04:21:47] (step=0000947) Train Loss: 0.6588, Train Steps/Sec: 0.03, Epoch: 2.752906976744186, LR: 0.001
[2025-04-19 04:21:51] (step=0000565) Train Loss: 0.7556, Train Steps/Sec: 0.02, Epoch: 1.6424418604651163, LR: 0.001
[2025-04-19 04:22:17] (step=0000948) Train Loss: 0.8599, Train Steps/Sec: 0.03, Epoch: 2.755813953488372, LR: 0.001
[2025-04-19 04:22:39] (step=0000566) Train Loss: 0.6115, Train Steps/Sec: 0.02, Epoch: 1.6453488372093024, LR: 0.001
[2025-04-19 04:22:47] (step=0000949) Train Loss: 0.4297, Train Steps/Sec: 0.03, Epoch: 2.758720930232558, LR: 0.001
[2025-04-19 04:23:17] (step=0000950) Train Loss: 0.6547, Train Steps/Sec: 0.03, Epoch: 2.761627906976744, LR: 0.001
[2025-04-19 04:23:27] (step=0000567) Train Loss: 0.8003, Train Steps/Sec: 0.02, Epoch: 1.6482558139534884, LR: 0.001
[2025-04-19 04:23:46] (step=0000951) Train Loss: 0.6891, Train Steps/Sec: 0.03, Epoch: 2.76453488372093, LR: 0.001
[2025-04-19 04:24:16] (step=0000568) Train Loss: 0.6708, Train Steps/Sec: 0.02, Epoch: 1.6511627906976745, LR: 0.001
[2025-04-19 04:24:16] (step=0000952) Train Loss: 0.7342, Train Steps/Sec: 0.03, Epoch: 2.7674418604651163, LR: 0.001
[2025-04-19 04:24:46] (step=0000953) Train Loss: 0.6517, Train Steps/Sec: 0.03, Epoch: 2.770348837209302, LR: 0.001
[2025-04-19 04:25:04] (step=0000569) Train Loss: 0.8565, Train Steps/Sec: 0.02, Epoch: 1.6540697674418605, LR: 0.001
[2025-04-19 04:25:16] (step=0000954) Train Loss: 0.7318, Train Steps/Sec: 0.03, Epoch: 2.7732558139534884, LR: 0.001
[2025-04-19 04:25:45] (step=0000955) Train Loss: 0.8808, Train Steps/Sec: 0.03, Epoch: 2.7761627906976742, LR: 0.001
[2025-04-19 04:25:53] (step=0000570) Train Loss: 0.6801, Train Steps/Sec: 0.02, Epoch: 1.6569767441860466, LR: 0.001
[2025-04-19 04:26:15] (step=0000956) Train Loss: 0.6320, Train Steps/Sec: 0.03, Epoch: 2.7790697674418605, LR: 0.001
[2025-04-19 04:26:41] (step=0000571) Train Loss: 0.5581, Train Steps/Sec: 0.02, Epoch: 1.6598837209302326, LR: 0.001
[2025-04-19 04:26:45] (step=0000957) Train Loss: 0.4939, Train Steps/Sec: 0.03, Epoch: 2.7819767441860463, LR: 0.001
[2025-04-19 04:27:14] (step=0000958) Train Loss: 0.7177, Train Steps/Sec: 0.03, Epoch: 2.7848837209302326, LR: 0.001
[2025-04-19 04:27:29] (step=0000572) Train Loss: 0.5955, Train Steps/Sec: 0.02, Epoch: 1.6627906976744187, LR: 0.001
[2025-04-19 04:27:44] (step=0000959) Train Loss: 0.8000, Train Steps/Sec: 0.03, Epoch: 2.7877906976744184, LR: 0.001
[2025-04-19 04:28:14] (step=0000960) Train Loss: 0.8538, Train Steps/Sec: 0.03, Epoch: 2.7906976744186047, LR: 0.001
[2025-04-19 04:28:17] (step=0000573) Train Loss: 0.8008, Train Steps/Sec: 0.02, Epoch: 1.6656976744186047, LR: 0.001
[2025-04-19 04:28:44] (step=0000961) Train Loss: 0.7362, Train Steps/Sec: 0.03, Epoch: 2.7936046511627906, LR: 0.001
[2025-04-19 04:29:06] (step=0000574) Train Loss: 0.7993, Train Steps/Sec: 0.02, Epoch: 1.6686046511627908, LR: 0.001
[2025-04-19 04:29:13] (step=0000962) Train Loss: 0.8277, Train Steps/Sec: 0.03, Epoch: 2.796511627906977, LR: 0.001
[2025-04-19 04:29:43] (step=0000963) Train Loss: 0.6051, Train Steps/Sec: 0.03, Epoch: 2.7994186046511627, LR: 0.001
[2025-04-19 04:29:54] (step=0000575) Train Loss: 0.7885, Train Steps/Sec: 0.02, Epoch: 1.6715116279069768, LR: 0.001
[2025-04-19 04:30:12] (step=0000964) Train Loss: 0.8577, Train Steps/Sec: 0.03, Epoch: 2.802325581395349, LR: 0.001
[2025-04-19 04:30:42] (step=0000965) Train Loss: 0.8919, Train Steps/Sec: 0.03, Epoch: 2.8052325581395348, LR: 0.001
[2025-04-19 04:30:43] (step=0000576) Train Loss: 0.4255, Train Steps/Sec: 0.02, Epoch: 1.6744186046511629, LR: 0.001
[2025-04-19 04:31:12] (step=0000966) Train Loss: 0.8302, Train Steps/Sec: 0.03, Epoch: 2.808139534883721, LR: 0.001
[2025-04-19 04:31:31] (step=0000577) Train Loss: 0.7477, Train Steps/Sec: 0.02, Epoch: 1.677325581395349, LR: 0.001
[2025-04-19 04:31:42] (step=0000967) Train Loss: 0.5085, Train Steps/Sec: 0.03, Epoch: 2.811046511627907, LR: 0.001
[2025-04-19 04:32:11] (step=0000968) Train Loss: 0.7721, Train Steps/Sec: 0.03, Epoch: 2.813953488372093, LR: 0.001
[2025-04-19 04:32:19] (step=0000578) Train Loss: 0.6831, Train Steps/Sec: 0.02, Epoch: 1.680232558139535, LR: 0.001
[2025-04-19 04:32:41] (step=0000969) Train Loss: 0.7550, Train Steps/Sec: 0.03, Epoch: 2.816860465116279, LR: 0.001
[2025-04-19 04:33:08] (step=0000579) Train Loss: 0.6361, Train Steps/Sec: 0.02, Epoch: 1.683139534883721, LR: 0.001
[2025-04-19 04:33:11] (step=0000970) Train Loss: 0.5024, Train Steps/Sec: 0.03, Epoch: 2.8197674418604652, LR: 0.001
[2025-04-19 04:33:40] (step=0000971) Train Loss: 0.6690, Train Steps/Sec: 0.03, Epoch: 2.822674418604651, LR: 0.001
[2025-04-19 04:33:56] (step=0000580) Train Loss: 0.7589, Train Steps/Sec: 0.02, Epoch: 1.686046511627907, LR: 0.001
[2025-04-19 04:34:10] (step=0000972) Train Loss: 0.8600, Train Steps/Sec: 0.03, Epoch: 2.8255813953488373, LR: 0.001
[2025-04-19 04:34:40] (step=0000973) Train Loss: 0.8492, Train Steps/Sec: 0.03, Epoch: 2.828488372093023, LR: 0.001
[2025-04-19 04:34:44] (step=0000581) Train Loss: 0.7808, Train Steps/Sec: 0.02, Epoch: 1.688953488372093, LR: 0.001
[2025-04-19 04:35:10] (step=0000974) Train Loss: 0.6153, Train Steps/Sec: 0.03, Epoch: 2.8313953488372094, LR: 0.001
[2025-04-19 04:35:32] (step=0000582) Train Loss: 0.5742, Train Steps/Sec: 0.02, Epoch: 1.691860465116279, LR: 0.001
[2025-04-19 04:35:39] (step=0000975) Train Loss: 0.7940, Train Steps/Sec: 0.03, Epoch: 2.8343023255813953, LR: 0.001
[2025-04-19 04:36:09] (step=0000976) Train Loss: 0.8414, Train Steps/Sec: 0.03, Epoch: 2.8372093023255816, LR: 0.001
[2025-04-19 04:36:20] (step=0000583) Train Loss: 0.4789, Train Steps/Sec: 0.02, Epoch: 1.694767441860465, LR: 0.001
[2025-04-19 04:36:39] (step=0000977) Train Loss: 0.8298, Train Steps/Sec: 0.03, Epoch: 2.8401162790697674, LR: 0.001
[2025-04-19 04:37:08] (step=0000978) Train Loss: 0.4897, Train Steps/Sec: 0.03, Epoch: 2.8430232558139537, LR: 0.001
[2025-04-19 04:37:09] (step=0000584) Train Loss: 0.4031, Train Steps/Sec: 0.02, Epoch: 1.697674418604651, LR: 0.001
[2025-04-19 04:37:38] (step=0000979) Train Loss: 0.8175, Train Steps/Sec: 0.03, Epoch: 2.8459302325581395, LR: 0.001
[2025-04-19 04:37:57] (step=0000585) Train Loss: 0.7468, Train Steps/Sec: 0.02, Epoch: 1.7005813953488371, LR: 0.001
[2025-04-19 04:38:08] (step=0000980) Train Loss: 0.5123, Train Steps/Sec: 0.03, Epoch: 2.8488372093023258, LR: 0.001
[2025-04-19 04:38:37] (step=0000981) Train Loss: 0.6749, Train Steps/Sec: 0.03, Epoch: 2.8517441860465116, LR: 0.001
[2025-04-19 04:38:45] (step=0000586) Train Loss: 0.8256, Train Steps/Sec: 0.02, Epoch: 1.7034883720930232, LR: 0.001
[2025-04-19 04:39:07] (step=0000982) Train Loss: 0.6719, Train Steps/Sec: 0.03, Epoch: 2.854651162790698, LR: 0.001
[2025-04-19 04:39:34] (step=0000587) Train Loss: 0.7450, Train Steps/Sec: 0.02, Epoch: 1.7063953488372092, LR: 0.001
[2025-04-19 04:39:37] (step=0000983) Train Loss: 0.6723, Train Steps/Sec: 0.03, Epoch: 2.8575581395348837, LR: 0.001
[2025-04-19 04:40:06] (step=0000984) Train Loss: 0.4614, Train Steps/Sec: 0.03, Epoch: 2.86046511627907, LR: 0.001
[2025-04-19 04:40:22] (step=0000588) Train Loss: 0.7536, Train Steps/Sec: 0.02, Epoch: 1.7093023255813953, LR: 0.001
[2025-04-19 04:40:36] (step=0000985) Train Loss: 0.6555, Train Steps/Sec: 0.03, Epoch: 2.863372093023256, LR: 0.001
[2025-04-19 04:41:06] (step=0000986) Train Loss: 0.5626, Train Steps/Sec: 0.03, Epoch: 2.866279069767442, LR: 0.001
[2025-04-19 04:41:11] (step=0000589) Train Loss: 0.4903, Train Steps/Sec: 0.02, Epoch: 1.7122093023255813, LR: 0.001
[2025-04-19 04:41:15] (step=0000987) Train Loss: 0.7104, Train Steps/Sec: 0.10, Epoch: 2.869186046511628, LR: 0.001
[2025-04-19 04:41:45] (step=0000988) Train Loss: 0.8045, Train Steps/Sec: 0.03, Epoch: 2.872093023255814, LR: 0.001
[2025-04-19 04:41:59] (step=0000590) Train Loss: 0.6437, Train Steps/Sec: 0.02, Epoch: 1.7151162790697674, LR: 0.001
[2025-04-19 04:42:15] (step=0000989) Train Loss: 0.8339, Train Steps/Sec: 0.03, Epoch: 2.875, LR: 0.001
[2025-04-19 04:42:44] (step=0000990) Train Loss: 0.7911, Train Steps/Sec: 0.03, Epoch: 2.877906976744186, LR: 0.001
[2025-04-19 04:42:47] (step=0000591) Train Loss: 0.7192, Train Steps/Sec: 0.02, Epoch: 1.7180232558139534, LR: 0.001
[2025-04-19 04:43:14] (step=0000991) Train Loss: 0.7567, Train Steps/Sec: 0.03, Epoch: 2.880813953488372, LR: 0.001
[2025-04-19 04:43:36] (step=0000592) Train Loss: 0.8173, Train Steps/Sec: 0.02, Epoch: 1.7209302325581395, LR: 0.001
[2025-04-19 04:43:44] (step=0000992) Train Loss: 0.5401, Train Steps/Sec: 0.03, Epoch: 2.883720930232558, LR: 0.001
[2025-04-19 04:44:13] (step=0000993) Train Loss: 0.7270, Train Steps/Sec: 0.03, Epoch: 2.886627906976744, LR: 0.001
[2025-04-19 04:44:24] (step=0000593) Train Loss: 0.6574, Train Steps/Sec: 0.02, Epoch: 1.7238372093023255, LR: 0.001
[2025-04-19 04:44:43] (step=0000994) Train Loss: 0.7905, Train Steps/Sec: 0.03, Epoch: 2.88953488372093, LR: 0.001
[2025-04-19 04:45:12] (step=0000594) Train Loss: 0.7416, Train Steps/Sec: 0.02, Epoch: 1.7267441860465116, LR: 0.001
[2025-04-19 04:45:13] (step=0000995) Train Loss: 0.8381, Train Steps/Sec: 0.03, Epoch: 2.8924418604651163, LR: 0.001
[2025-04-19 04:45:43] (step=0000996) Train Loss: 0.8217, Train Steps/Sec: 0.03, Epoch: 2.895348837209302, LR: 0.001
[2025-04-19 04:46:00] (step=0000595) Train Loss: 0.6971, Train Steps/Sec: 0.02, Epoch: 1.7296511627906976, LR: 0.001
[2025-04-19 04:46:12] (step=0000997) Train Loss: 0.6646, Train Steps/Sec: 0.03, Epoch: 2.8982558139534884, LR: 0.001
[2025-04-19 04:46:42] (step=0000998) Train Loss: 0.7675, Train Steps/Sec: 0.03, Epoch: 2.9011627906976742, LR: 0.001
[2025-04-19 04:46:49] (step=0000596) Train Loss: 0.8393, Train Steps/Sec: 0.02, Epoch: 1.7325581395348837, LR: 0.001
[2025-04-19 04:47:12] (step=0000999) Train Loss: 0.8108, Train Steps/Sec: 0.03, Epoch: 2.9040697674418605, LR: 0.001
[2025-04-19 04:47:37] (step=0000597) Train Loss: 0.8317, Train Steps/Sec: 0.02, Epoch: 1.7354651162790697, LR: 0.001
[2025-04-19 04:47:42] (step=0001000) Train Loss: 0.6268, Train Steps/Sec: 0.03, Epoch: 2.9069767441860463, LR: 0.001
[2025-04-19 04:47:55] Saved checkpoint to ./results/sfm_based//checkpoints/0001000/
[2025-04-19 04:48:24] (step=0001001) Train Loss: 0.6556, Train Steps/Sec: 0.02, Epoch: 2.9098837209302326, LR: 0.001
[2025-04-19 04:48:25] (step=0000598) Train Loss: 0.4898, Train Steps/Sec: 0.02, Epoch: 1.7383720930232558, LR: 0.001
[2025-04-19 04:48:54] (step=0001002) Train Loss: 0.4543, Train Steps/Sec: 0.03, Epoch: 2.9127906976744184, LR: 0.001
[2025-04-19 04:49:14] (step=0000599) Train Loss: 0.7265, Train Steps/Sec: 0.02, Epoch: 1.7412790697674418, LR: 0.001
[2025-04-19 04:49:24] (step=0001003) Train Loss: 0.4653, Train Steps/Sec: 0.03, Epoch: 2.9156976744186047, LR: 0.001
[2025-04-19 04:49:54] (step=0001004) Train Loss: 0.8519, Train Steps/Sec: 0.03, Epoch: 2.9186046511627906, LR: 0.001
[2025-04-19 04:50:02] (step=0000600) Train Loss: 0.6691, Train Steps/Sec: 0.02, Epoch: 1.744186046511628, LR: 0.001
[2025-04-19 04:50:15] Saved checkpoint to ./results/sfm_based//checkpoints/0000600/
[2025-04-19 04:50:23] (step=0001005) Train Loss: 0.4533, Train Steps/Sec: 0.03, Epoch: 2.921511627906977, LR: 0.001
[2025-04-19 04:50:53] (step=0001006) Train Loss: 0.8783, Train Steps/Sec: 0.03, Epoch: 2.9244186046511627, LR: 0.001
[2025-04-19 04:51:03] (step=0000601) Train Loss: 0.4399, Train Steps/Sec: 0.02, Epoch: 1.747093023255814, LR: 0.001
[2025-04-19 04:51:23] (step=0001007) Train Loss: 0.7186, Train Steps/Sec: 0.03, Epoch: 2.927325581395349, LR: 0.001
[2025-04-19 04:51:51] (step=0000602) Train Loss: 0.7552, Train Steps/Sec: 0.02, Epoch: 1.75, LR: 0.001
[2025-04-19 04:51:53] (step=0001008) Train Loss: 0.5549, Train Steps/Sec: 0.03, Epoch: 2.9302325581395348, LR: 0.001
[2025-04-19 04:52:22] (step=0001009) Train Loss: 0.5872, Train Steps/Sec: 0.03, Epoch: 2.933139534883721, LR: 0.001
[2025-04-19 04:52:39] (step=0000603) Train Loss: 0.7908, Train Steps/Sec: 0.02, Epoch: 1.752906976744186, LR: 0.001
[2025-04-19 04:52:52] (step=0001010) Train Loss: 0.4465, Train Steps/Sec: 0.03, Epoch: 2.936046511627907, LR: 0.001
[2025-04-19 04:53:22] (step=0001011) Train Loss: 0.4566, Train Steps/Sec: 0.03, Epoch: 2.938953488372093, LR: 0.001
[2025-04-19 04:53:28] (step=0000604) Train Loss: 0.5271, Train Steps/Sec: 0.02, Epoch: 1.755813953488372, LR: 0.001
[2025-04-19 04:53:52] (step=0001012) Train Loss: 0.5676, Train Steps/Sec: 0.03, Epoch: 2.941860465116279, LR: 0.001
[2025-04-19 04:54:16] (step=0000605) Train Loss: 0.6294, Train Steps/Sec: 0.02, Epoch: 1.7587209302325582, LR: 0.001
[2025-04-19 04:54:21] (step=0001013) Train Loss: 0.8329, Train Steps/Sec: 0.03, Epoch: 2.9447674418604652, LR: 0.001
[2025-04-19 04:54:51] (step=0001014) Train Loss: 0.7493, Train Steps/Sec: 0.03, Epoch: 2.947674418604651, LR: 0.001
[2025-04-19 04:55:05] (step=0000606) Train Loss: 0.6330, Train Steps/Sec: 0.02, Epoch: 1.7616279069767442, LR: 0.001
[2025-04-19 04:55:21] (step=0001015) Train Loss: 0.4770, Train Steps/Sec: 0.03, Epoch: 2.9505813953488373, LR: 0.001
[2025-04-19 04:55:50] (step=0001016) Train Loss: 0.8862, Train Steps/Sec: 0.03, Epoch: 2.953488372093023, LR: 0.001
[2025-04-19 04:55:53] (step=0000607) Train Loss: 0.4455, Train Steps/Sec: 0.02, Epoch: 1.7645348837209303, LR: 0.001
[2025-04-19 04:56:20] (step=0001017) Train Loss: 0.5954, Train Steps/Sec: 0.03, Epoch: 2.9563953488372094, LR: 0.001
[2025-04-19 04:56:41] (step=0000608) Train Loss: 0.4657, Train Steps/Sec: 0.02, Epoch: 1.7674418604651163, LR: 0.001
[2025-04-19 04:56:50] (step=0001018) Train Loss: 0.8542, Train Steps/Sec: 0.03, Epoch: 2.9593023255813953, LR: 0.001
[2025-04-19 04:57:19] (step=0001019) Train Loss: 0.6970, Train Steps/Sec: 0.03, Epoch: 2.9622093023255816, LR: 0.001
[2025-04-19 04:57:30] (step=0000609) Train Loss: 0.7649, Train Steps/Sec: 0.02, Epoch: 1.7703488372093024, LR: 0.001
[2025-04-19 04:57:49] (step=0001020) Train Loss: 0.8859, Train Steps/Sec: 0.03, Epoch: 2.9651162790697674, LR: 0.001
[2025-04-19 04:58:18] (step=0000610) Train Loss: 0.4681, Train Steps/Sec: 0.02, Epoch: 1.7732558139534884, LR: 0.001
[2025-04-19 04:58:19] (step=0001021) Train Loss: 0.4756, Train Steps/Sec: 0.03, Epoch: 2.9680232558139537, LR: 0.001
[2025-04-19 04:58:48] (step=0001022) Train Loss: 0.6999, Train Steps/Sec: 0.03, Epoch: 2.9709302325581395, LR: 0.001
[2025-04-19 04:59:06] (step=0000611) Train Loss: 0.6130, Train Steps/Sec: 0.02, Epoch: 1.7761627906976745, LR: 0.001
[2025-04-19 04:59:18] (step=0001023) Train Loss: 0.7481, Train Steps/Sec: 0.03, Epoch: 2.9738372093023258, LR: 0.001
[2025-04-19 04:59:48] (step=0001024) Train Loss: 0.5205, Train Steps/Sec: 0.03, Epoch: 2.9767441860465116, LR: 0.001
[2025-04-19 04:59:55] (step=0000612) Train Loss: 0.8620, Train Steps/Sec: 0.02, Epoch: 1.7790697674418605, LR: 0.001
[2025-04-19 05:00:17] (step=0001025) Train Loss: 0.5940, Train Steps/Sec: 0.03, Epoch: 2.979651162790698, LR: 0.001
[2025-04-19 05:00:43] (step=0000613) Train Loss: 0.7821, Train Steps/Sec: 0.02, Epoch: 1.7819767441860466, LR: 0.001
[2025-04-19 05:00:47] (step=0001026) Train Loss: 0.7926, Train Steps/Sec: 0.03, Epoch: 2.9825581395348837, LR: 0.001
[2025-04-19 05:01:17] (step=0001027) Train Loss: 0.8114, Train Steps/Sec: 0.03, Epoch: 2.98546511627907, LR: 0.001
[2025-04-19 05:01:31] (step=0000614) Train Loss: 0.5654, Train Steps/Sec: 0.02, Epoch: 1.7848837209302326, LR: 0.001
[2025-04-19 05:01:47] (step=0001028) Train Loss: 0.6284, Train Steps/Sec: 0.03, Epoch: 2.988372093023256, LR: 0.001
[2025-04-19 05:02:16] (step=0001029) Train Loss: 0.6942, Train Steps/Sec: 0.03, Epoch: 2.991279069767442, LR: 0.001
[2025-04-19 05:02:19] (step=0000615) Train Loss: 0.5074, Train Steps/Sec: 0.02, Epoch: 1.7877906976744187, LR: 0.001
[2025-04-19 05:02:46] (step=0001030) Train Loss: 0.8831, Train Steps/Sec: 0.03, Epoch: 2.994186046511628, LR: 0.001
[2025-04-19 05:03:07] (step=0000616) Train Loss: 0.6507, Train Steps/Sec: 0.02, Epoch: 1.7906976744186047, LR: 0.001
[2025-04-19 05:03:16] (step=0001031) Train Loss: 0.6655, Train Steps/Sec: 0.03, Epoch: 2.997093023255814, LR: 0.001
[2025-04-19 05:03:45] (step=0001032) Train Loss: 0.5026, Train Steps/Sec: 0.03, Epoch: 3.0, LR: 0.001
[2025-04-19 05:03:45] Beginning epoch 3...
[2025-04-19 05:03:55] (step=0000617) Train Loss: 0.4029, Train Steps/Sec: 0.02, Epoch: 1.7936046511627908, LR: 0.001
[2025-04-19 05:04:23] (step=0001033) Train Loss: 0.6745, Train Steps/Sec: 0.03, Epoch: 3.002906976744186, LR: 0.001
[2025-04-19 05:04:44] (step=0000618) Train Loss: 0.4205, Train Steps/Sec: 0.02, Epoch: 1.7965116279069768, LR: 0.001
[2025-04-19 05:04:52] (step=0001034) Train Loss: 0.7995, Train Steps/Sec: 0.03, Epoch: 3.005813953488372, LR: 0.001
[2025-04-19 05:05:22] (step=0001035) Train Loss: 0.6688, Train Steps/Sec: 0.03, Epoch: 3.008720930232558, LR: 0.001
[2025-04-19 05:05:32] (step=0000619) Train Loss: 0.7952, Train Steps/Sec: 0.02, Epoch: 1.7994186046511629, LR: 0.001
[2025-04-19 05:05:52] (step=0001036) Train Loss: 0.6284, Train Steps/Sec: 0.03, Epoch: 3.011627906976744, LR: 0.001
[2025-04-19 05:06:20] (step=0000620) Train Loss: 0.6779, Train Steps/Sec: 0.02, Epoch: 1.802325581395349, LR: 0.001
[2025-04-19 05:06:21] (step=0001037) Train Loss: 0.6972, Train Steps/Sec: 0.03, Epoch: 3.01453488372093, LR: 0.001
[2025-04-19 05:06:51] (step=0001038) Train Loss: 0.6053, Train Steps/Sec: 0.03, Epoch: 3.0174418604651163, LR: 0.001
[2025-04-19 05:07:09] (step=0000621) Train Loss: 0.6120, Train Steps/Sec: 0.02, Epoch: 1.805232558139535, LR: 0.001
[2025-04-19 05:07:21] (step=0001039) Train Loss: 0.6961, Train Steps/Sec: 0.03, Epoch: 3.020348837209302, LR: 0.001
[2025-04-19 05:07:51] (step=0001040) Train Loss: 0.6009, Train Steps/Sec: 0.03, Epoch: 3.0232558139534884, LR: 0.001
[2025-04-19 05:07:57] (step=0000622) Train Loss: 0.6592, Train Steps/Sec: 0.02, Epoch: 1.808139534883721, LR: 0.001
[2025-04-19 05:08:20] (step=0001041) Train Loss: 0.6045, Train Steps/Sec: 0.03, Epoch: 3.0261627906976742, LR: 0.001
[2025-04-19 05:08:45] (step=0000623) Train Loss: 0.4741, Train Steps/Sec: 0.02, Epoch: 1.811046511627907, LR: 0.001
[2025-04-19 05:08:50] (step=0001042) Train Loss: 0.8428, Train Steps/Sec: 0.03, Epoch: 3.0290697674418605, LR: 0.001
[2025-04-19 05:09:20] (step=0001043) Train Loss: 0.7963, Train Steps/Sec: 0.03, Epoch: 3.0319767441860463, LR: 0.001
[2025-04-19 05:09:34] (step=0000624) Train Loss: 0.4265, Train Steps/Sec: 0.02, Epoch: 1.813953488372093, LR: 0.001
[2025-04-19 05:09:50] (step=0001044) Train Loss: 0.4690, Train Steps/Sec: 0.03, Epoch: 3.0348837209302326, LR: 0.001
[2025-04-19 05:10:19] (step=0001045) Train Loss: 0.8753, Train Steps/Sec: 0.03, Epoch: 3.0377906976744184, LR: 0.001
[2025-04-19 05:10:22] (step=0000625) Train Loss: 0.7021, Train Steps/Sec: 0.02, Epoch: 1.816860465116279, LR: 0.001
[2025-04-19 05:10:49] (step=0001046) Train Loss: 0.8183, Train Steps/Sec: 0.03, Epoch: 3.0406976744186047, LR: 0.001
[2025-04-19 05:11:10] (step=0000626) Train Loss: 0.6792, Train Steps/Sec: 0.02, Epoch: 1.819767441860465, LR: 0.001
[2025-04-19 05:11:19] (step=0001047) Train Loss: 0.5222, Train Steps/Sec: 0.03, Epoch: 3.0436046511627906, LR: 0.001
[2025-04-19 05:11:48] (step=0001048) Train Loss: 0.4258, Train Steps/Sec: 0.03, Epoch: 3.046511627906977, LR: 0.001
[2025-04-19 05:11:58] (step=0000627) Train Loss: 0.7473, Train Steps/Sec: 0.02, Epoch: 1.822674418604651, LR: 0.001
[2025-04-19 05:12:18] (step=0001049) Train Loss: 0.5533, Train Steps/Sec: 0.03, Epoch: 3.0494186046511627, LR: 0.001
[2025-04-19 05:12:47] (step=0000628) Train Loss: 0.7740, Train Steps/Sec: 0.02, Epoch: 1.8255813953488371, LR: 0.001
[2025-04-19 05:12:47] (step=0001050) Train Loss: 0.7462, Train Steps/Sec: 0.03, Epoch: 3.052325581395349, LR: 0.001
[2025-04-19 05:13:17] (step=0001051) Train Loss: 0.5430, Train Steps/Sec: 0.03, Epoch: 3.0552325581395348, LR: 0.001
[2025-04-19 05:13:35] (step=0000629) Train Loss: 0.6197, Train Steps/Sec: 0.02, Epoch: 1.8284883720930232, LR: 0.001
[2025-04-19 05:13:47] (step=0001052) Train Loss: 0.6177, Train Steps/Sec: 0.03, Epoch: 3.058139534883721, LR: 0.001
[2025-04-19 05:14:17] (step=0001053) Train Loss: 0.6611, Train Steps/Sec: 0.03, Epoch: 3.061046511627907, LR: 0.001
[2025-04-19 05:14:23] (step=0000630) Train Loss: 0.6153, Train Steps/Sec: 0.02, Epoch: 1.8313953488372092, LR: 0.001
[2025-04-19 05:14:46] (step=0001054) Train Loss: 0.7708, Train Steps/Sec: 0.03, Epoch: 3.063953488372093, LR: 0.001
[2025-04-19 05:15:11] (step=0000631) Train Loss: 0.6994, Train Steps/Sec: 0.02, Epoch: 1.8343023255813953, LR: 0.001
[2025-04-19 05:15:16] (step=0001055) Train Loss: 0.8305, Train Steps/Sec: 0.03, Epoch: 3.066860465116279, LR: 0.001
[2025-04-19 05:15:46] (step=0001056) Train Loss: 0.8433, Train Steps/Sec: 0.03, Epoch: 3.0697674418604652, LR: 0.001
[2025-04-19 05:16:00] (step=0000632) Train Loss: 0.6505, Train Steps/Sec: 0.02, Epoch: 1.8372093023255813, LR: 0.001
[2025-04-19 05:16:15] (step=0001057) Train Loss: 0.4326, Train Steps/Sec: 0.03, Epoch: 3.072674418604651, LR: 0.001
[2025-04-19 05:16:45] (step=0001058) Train Loss: 0.6868, Train Steps/Sec: 0.03, Epoch: 3.0755813953488373, LR: 0.001
[2025-04-19 05:16:48] (step=0000633) Train Loss: 0.7481, Train Steps/Sec: 0.02, Epoch: 1.8401162790697674, LR: 0.001
[2025-04-19 05:17:15] (step=0001059) Train Loss: 0.6331, Train Steps/Sec: 0.03, Epoch: 3.078488372093023, LR: 0.001
[2025-04-19 05:17:36] (step=0000634) Train Loss: 0.7589, Train Steps/Sec: 0.02, Epoch: 1.8430232558139534, LR: 0.001
[2025-04-19 05:17:45] (step=0001060) Train Loss: 0.6738, Train Steps/Sec: 0.03, Epoch: 3.0813953488372094, LR: 0.001
[2025-04-19 05:18:14] (step=0001061) Train Loss: 0.8512, Train Steps/Sec: 0.03, Epoch: 3.0843023255813953, LR: 0.001
[2025-04-19 05:18:25] (step=0000635) Train Loss: 0.6473, Train Steps/Sec: 0.02, Epoch: 1.8459302325581395, LR: 0.001
[2025-04-19 05:18:44] (step=0001062) Train Loss: 0.7061, Train Steps/Sec: 0.03, Epoch: 3.0872093023255816, LR: 0.001
[2025-04-19 05:19:13] (step=0000636) Train Loss: 0.4175, Train Steps/Sec: 0.02, Epoch: 1.8488372093023255, LR: 0.001
[2025-04-19 05:19:13] (step=0001063) Train Loss: 0.8421, Train Steps/Sec: 0.03, Epoch: 3.0901162790697674, LR: 0.001
[2025-04-19 05:19:43] (step=0001064) Train Loss: 0.8052, Train Steps/Sec: 0.03, Epoch: 3.0930232558139537, LR: 0.001
[2025-04-19 05:20:01] (step=0000637) Train Loss: 0.8545, Train Steps/Sec: 0.02, Epoch: 1.8517441860465116, LR: 0.001
[2025-04-19 05:20:13] (step=0001065) Train Loss: 0.8561, Train Steps/Sec: 0.03, Epoch: 3.0959302325581395, LR: 0.001
[2025-04-19 05:20:42] (step=0001066) Train Loss: 0.8046, Train Steps/Sec: 0.03, Epoch: 3.0988372093023258, LR: 0.001
[2025-04-19 05:20:49] (step=0000638) Train Loss: 0.8334, Train Steps/Sec: 0.02, Epoch: 1.8546511627906976, LR: 0.001
[2025-04-19 05:21:12] (step=0001067) Train Loss: 0.4733, Train Steps/Sec: 0.03, Epoch: 3.1017441860465116, LR: 0.001
[2025-04-19 05:21:37] (step=0000639) Train Loss: 0.5776, Train Steps/Sec: 0.02, Epoch: 1.8575581395348837, LR: 0.001
[2025-04-19 05:21:42] (step=0001068) Train Loss: 0.7474, Train Steps/Sec: 0.03, Epoch: 3.104651162790698, LR: 0.001
[2025-04-19 05:22:11] (step=0001069) Train Loss: 0.7903, Train Steps/Sec: 0.03, Epoch: 3.1075581395348837, LR: 0.001
[2025-04-19 05:22:26] (step=0000640) Train Loss: 0.6119, Train Steps/Sec: 0.02, Epoch: 1.8604651162790697, LR: 0.001
[2025-04-19 05:22:41] (step=0001070) Train Loss: 0.7827, Train Steps/Sec: 0.03, Epoch: 3.11046511627907, LR: 0.001
[2025-04-19 05:23:11] (step=0001071) Train Loss: 0.4792, Train Steps/Sec: 0.03, Epoch: 3.113372093023256, LR: 0.001
[2025-04-19 05:23:14] (step=0000641) Train Loss: 0.4420, Train Steps/Sec: 0.02, Epoch: 1.8633720930232558, LR: 0.001
[2025-04-19 05:23:40] (step=0001072) Train Loss: 0.4372, Train Steps/Sec: 0.03, Epoch: 3.116279069767442, LR: 0.001
[2025-04-19 05:24:02] (step=0000642) Train Loss: 0.6156, Train Steps/Sec: 0.02, Epoch: 1.8662790697674418, LR: 0.001
[2025-04-19 05:24:10] (step=0001073) Train Loss: 0.5572, Train Steps/Sec: 0.03, Epoch: 3.119186046511628, LR: 0.001
[2025-04-19 05:24:40] (step=0001074) Train Loss: 0.8699, Train Steps/Sec: 0.03, Epoch: 3.122093023255814, LR: 0.001
[2025-04-19 05:24:51] (step=0000643) Train Loss: 0.8044, Train Steps/Sec: 0.02, Epoch: 1.869186046511628, LR: 0.001
[2025-04-19 05:25:09] (step=0001075) Train Loss: 0.7983, Train Steps/Sec: 0.03, Epoch: 3.125, LR: 0.001
[2025-04-19 05:25:39] (step=0001076) Train Loss: 0.5689, Train Steps/Sec: 0.03, Epoch: 3.127906976744186, LR: 0.001
[2025-04-19 05:25:39] (step=0000644) Train Loss: 0.4826, Train Steps/Sec: 0.02, Epoch: 1.872093023255814, LR: 0.001
[2025-04-19 05:26:08] (step=0001077) Train Loss: 0.6258, Train Steps/Sec: 0.03, Epoch: 3.130813953488372, LR: 0.001
[2025-04-19 05:26:28] (step=0000645) Train Loss: 0.3951, Train Steps/Sec: 0.02, Epoch: 1.875, LR: 0.001
[2025-04-19 05:26:38] (step=0001078) Train Loss: 0.8035, Train Steps/Sec: 0.03, Epoch: 3.133720930232558, LR: 0.001
[2025-04-19 05:27:07] (step=0001079) Train Loss: 0.5076, Train Steps/Sec: 0.03, Epoch: 3.136627906976744, LR: 0.001
[2025-04-19 05:27:16] (step=0000646) Train Loss: 0.7337, Train Steps/Sec: 0.02, Epoch: 1.877906976744186, LR: 0.001
[2025-04-19 05:27:37] (step=0001080) Train Loss: 0.5686, Train Steps/Sec: 0.03, Epoch: 3.13953488372093, LR: 0.001
[2025-04-19 05:28:04] (step=0000647) Train Loss: 0.6438, Train Steps/Sec: 0.02, Epoch: 1.880813953488372, LR: 0.001
[2025-04-19 05:28:07] (step=0001081) Train Loss: 0.5170, Train Steps/Sec: 0.03, Epoch: 3.1424418604651163, LR: 0.001
[2025-04-19 05:28:37] (step=0001082) Train Loss: 0.7037, Train Steps/Sec: 0.03, Epoch: 3.145348837209302, LR: 0.001
[2025-04-19 05:28:52] (step=0000648) Train Loss: 0.7907, Train Steps/Sec: 0.02, Epoch: 1.8837209302325582, LR: 0.001
[2025-04-19 05:29:06] (step=0001083) Train Loss: 0.5757, Train Steps/Sec: 0.03, Epoch: 3.1482558139534884, LR: 0.001
[2025-04-19 05:29:36] (step=0001084) Train Loss: 0.8304, Train Steps/Sec: 0.03, Epoch: 3.1511627906976742, LR: 0.001
[2025-04-19 05:29:40] (step=0000649) Train Loss: 0.7435, Train Steps/Sec: 0.02, Epoch: 1.8866279069767442, LR: 0.001
[2025-04-19 05:30:06] (step=0001085) Train Loss: 0.8813, Train Steps/Sec: 0.03, Epoch: 3.1540697674418605, LR: 0.001
[2025-04-19 05:30:29] (step=0000650) Train Loss: 0.6113, Train Steps/Sec: 0.02, Epoch: 1.8895348837209303, LR: 0.001
[2025-04-19 05:30:35] (step=0001086) Train Loss: 0.6911, Train Steps/Sec: 0.03, Epoch: 3.1569767441860463, LR: 0.001
[2025-04-19 05:31:05] (step=0001087) Train Loss: 0.8125, Train Steps/Sec: 0.03, Epoch: 3.1598837209302326, LR: 0.001
[2025-04-19 05:31:17] (step=0000651) Train Loss: 0.6935, Train Steps/Sec: 0.02, Epoch: 1.8924418604651163, LR: 0.001
[2025-04-19 05:31:34] (step=0001088) Train Loss: 0.5189, Train Steps/Sec: 0.03, Epoch: 3.1627906976744184, LR: 0.001
[2025-04-19 05:32:04] (step=0001089) Train Loss: 0.4379, Train Steps/Sec: 0.03, Epoch: 3.1656976744186047, LR: 0.001
[2025-04-19 05:32:06] (step=0000652) Train Loss: 0.6290, Train Steps/Sec: 0.02, Epoch: 1.8953488372093024, LR: 0.001
[2025-04-19 05:32:34] (step=0001090) Train Loss: 0.7825, Train Steps/Sec: 0.03, Epoch: 3.1686046511627906, LR: 0.001
[2025-04-19 05:32:54] (step=0000653) Train Loss: 0.5137, Train Steps/Sec: 0.02, Epoch: 1.8982558139534884, LR: 0.001
[2025-04-19 05:33:03] (step=0001091) Train Loss: 0.6362, Train Steps/Sec: 0.03, Epoch: 3.171511627906977, LR: 0.001
[2025-04-19 05:33:33] (step=0001092) Train Loss: 0.4291, Train Steps/Sec: 0.03, Epoch: 3.1744186046511627, LR: 0.001
[2025-04-19 05:33:42] (step=0000654) Train Loss: 0.3422, Train Steps/Sec: 0.02, Epoch: 1.9011627906976745, LR: 0.001
[2025-04-19 05:34:03] (step=0001093) Train Loss: 0.4867, Train Steps/Sec: 0.03, Epoch: 3.177325581395349, LR: 0.001
[2025-04-19 05:34:30] (step=0000655) Train Loss: 0.5917, Train Steps/Sec: 0.02, Epoch: 1.9040697674418605, LR: 0.001
[2025-04-19 05:34:32] (step=0001094) Train Loss: 0.4850, Train Steps/Sec: 0.03, Epoch: 3.1802325581395348, LR: 0.001
[2025-04-19 05:35:02] (step=0001095) Train Loss: 0.8367, Train Steps/Sec: 0.03, Epoch: 3.183139534883721, LR: 0.001
[2025-04-19 05:35:19] (step=0000656) Train Loss: 0.7593, Train Steps/Sec: 0.02, Epoch: 1.9069767441860466, LR: 0.001
[2025-04-19 05:35:32] (step=0001096) Train Loss: 0.8751, Train Steps/Sec: 0.03, Epoch: 3.186046511627907, LR: 0.001
[2025-04-19 05:36:01] (step=0001097) Train Loss: 0.7483, Train Steps/Sec: 0.03, Epoch: 3.188953488372093, LR: 0.001
[2025-04-19 05:36:07] (step=0000657) Train Loss: 0.5233, Train Steps/Sec: 0.02, Epoch: 1.9098837209302326, LR: 0.001
[2025-04-19 05:36:31] (step=0001098) Train Loss: 0.5938, Train Steps/Sec: 0.03, Epoch: 3.191860465116279, LR: 0.001
[2025-04-19 05:36:55] (step=0000658) Train Loss: 0.7689, Train Steps/Sec: 0.02, Epoch: 1.9127906976744187, LR: 0.001
[2025-04-19 05:37:01] (step=0001099) Train Loss: 0.7611, Train Steps/Sec: 0.03, Epoch: 3.1947674418604652, LR: 0.001
[2025-04-19 05:37:30] (step=0001100) Train Loss: 0.8409, Train Steps/Sec: 0.03, Epoch: 3.197674418604651, LR: 0.001
[2025-04-19 05:37:40] (step=0001101) Train Loss: 0.6993, Train Steps/Sec: 0.10, Epoch: 3.2005813953488373, LR: 0.001
[2025-04-19 05:37:43] (step=0000659) Train Loss: 0.7475, Train Steps/Sec: 0.02, Epoch: 1.9156976744186047, LR: 0.001
[2025-04-19 05:38:10] (step=0001102) Train Loss: 0.6967, Train Steps/Sec: 0.03, Epoch: 3.203488372093023, LR: 0.001
[2025-04-19 05:38:32] (step=0000660) Train Loss: 0.5439, Train Steps/Sec: 0.02, Epoch: 1.9186046511627908, LR: 0.001
[2025-04-19 05:38:40] (step=0001103) Train Loss: 0.6404, Train Steps/Sec: 0.03, Epoch: 3.2063953488372094, LR: 0.001
[2025-04-19 05:39:09] (step=0001104) Train Loss: 0.7409, Train Steps/Sec: 0.03, Epoch: 3.2093023255813953, LR: 0.001
[2025-04-19 05:39:20] (step=0000661) Train Loss: 0.8015, Train Steps/Sec: 0.02, Epoch: 1.9215116279069768, LR: 0.001
[2025-04-19 05:39:39] (step=0000662) Train Loss: 0.6781, Train Steps/Sec: 0.05, Epoch: 1.9244186046511629, LR: 0.001
[2025-04-19 05:39:39] (step=0001105) Train Loss: 0.8852, Train Steps/Sec: 0.03, Epoch: 3.2122093023255816, LR: 0.001
[2025-04-19 05:40:09] (step=0001106) Train Loss: 0.6151, Train Steps/Sec: 0.03, Epoch: 3.2151162790697674, LR: 0.001
[2025-04-19 05:40:27] (step=0000663) Train Loss: 0.7515, Train Steps/Sec: 0.02, Epoch: 1.927325581395349, LR: 0.001
[2025-04-19 05:40:38] (step=0001107) Train Loss: 0.6073, Train Steps/Sec: 0.03, Epoch: 3.2180232558139537, LR: 0.001
[2025-04-19 05:41:08] (step=0001108) Train Loss: 0.7884, Train Steps/Sec: 0.03, Epoch: 3.2209302325581395, LR: 0.001
[2025-04-19 05:41:15] (step=0000664) Train Loss: 0.8388, Train Steps/Sec: 0.02, Epoch: 1.930232558139535, LR: 0.001
[2025-04-19 05:41:38] (step=0001109) Train Loss: 0.7544, Train Steps/Sec: 0.03, Epoch: 3.2238372093023258, LR: 0.001
[2025-04-19 05:42:04] (step=0000665) Train Loss: 0.7804, Train Steps/Sec: 0.02, Epoch: 1.933139534883721, LR: 0.001
[2025-04-19 05:42:07] (step=0001110) Train Loss: 0.8553, Train Steps/Sec: 0.03, Epoch: 3.2267441860465116, LR: 0.001
[2025-04-19 05:42:37] (step=0001111) Train Loss: 0.4838, Train Steps/Sec: 0.03, Epoch: 3.229651162790698, LR: 0.001
[2025-04-19 05:42:52] (step=0000666) Train Loss: 0.8169, Train Steps/Sec: 0.02, Epoch: 1.936046511627907, LR: 0.001
[2025-04-19 05:43:07] (step=0001112) Train Loss: 0.8198, Train Steps/Sec: 0.03, Epoch: 3.2325581395348837, LR: 0.001
[2025-04-19 05:43:36] (step=0001113) Train Loss: 0.6144, Train Steps/Sec: 0.03, Epoch: 3.23546511627907, LR: 0.001
[2025-04-19 05:43:40] (step=0000667) Train Loss: 0.8294, Train Steps/Sec: 0.02, Epoch: 1.938953488372093, LR: 0.001
[2025-04-19 05:44:06] (step=0001114) Train Loss: 0.4299, Train Steps/Sec: 0.03, Epoch: 3.238372093023256, LR: 0.001
[2025-04-19 05:44:28] (step=0000668) Train Loss: 0.6532, Train Steps/Sec: 0.02, Epoch: 1.941860465116279, LR: 0.001
[2025-04-19 05:44:36] (step=0001115) Train Loss: 0.8603, Train Steps/Sec: 0.03, Epoch: 3.241279069767442, LR: 0.001
[2025-04-19 05:45:05] (step=0001116) Train Loss: 0.7165, Train Steps/Sec: 0.03, Epoch: 3.244186046511628, LR: 0.001
[2025-04-19 05:45:17] (step=0000669) Train Loss: 0.5603, Train Steps/Sec: 0.02, Epoch: 1.944767441860465, LR: 0.001
[2025-04-19 05:45:35] (step=0001117) Train Loss: 0.5450, Train Steps/Sec: 0.03, Epoch: 3.247093023255814, LR: 0.001
[2025-04-19 05:46:04] (step=0001118) Train Loss: 0.4556, Train Steps/Sec: 0.03, Epoch: 3.25, LR: 0.001
[2025-04-19 05:46:05] (step=0000670) Train Loss: 0.6139, Train Steps/Sec: 0.02, Epoch: 1.947674418604651, LR: 0.001
[2025-04-19 05:46:34] (step=0001119) Train Loss: 0.5742, Train Steps/Sec: 0.03, Epoch: 3.252906976744186, LR: 0.001
[2025-04-19 05:46:53] (step=0000671) Train Loss: 0.6297, Train Steps/Sec: 0.02, Epoch: 1.9505813953488371, LR: 0.001
[2025-04-19 05:47:04] (step=0001120) Train Loss: 0.5229, Train Steps/Sec: 0.03, Epoch: 3.255813953488372, LR: 0.001
[2025-04-19 05:47:34] (step=0001121) Train Loss: 0.8480, Train Steps/Sec: 0.03, Epoch: 3.258720930232558, LR: 0.001
[2025-04-19 05:47:41] (step=0000672) Train Loss: 0.8467, Train Steps/Sec: 0.02, Epoch: 1.9534883720930232, LR: 0.001
[2025-04-19 05:48:03] (step=0001122) Train Loss: 0.5094, Train Steps/Sec: 0.03, Epoch: 3.261627906976744, LR: 0.001
[2025-04-19 05:48:30] (step=0000673) Train Loss: 0.6337, Train Steps/Sec: 0.02, Epoch: 1.9563953488372092, LR: 0.001
[2025-04-19 05:48:33] (step=0001123) Train Loss: 0.7998, Train Steps/Sec: 0.03, Epoch: 3.26453488372093, LR: 0.001
[2025-04-19 05:49:03] (step=0001124) Train Loss: 0.7835, Train Steps/Sec: 0.03, Epoch: 3.2674418604651163, LR: 0.001
[2025-04-19 05:49:18] (step=0000674) Train Loss: 0.5870, Train Steps/Sec: 0.02, Epoch: 1.9593023255813953, LR: 0.001
[2025-04-19 05:49:32] (step=0001125) Train Loss: 0.8741, Train Steps/Sec: 0.03, Epoch: 3.270348837209302, LR: 0.001
[2025-04-19 05:50:02] (step=0001126) Train Loss: 0.8850, Train Steps/Sec: 0.03, Epoch: 3.2732558139534884, LR: 0.001
[2025-04-19 05:50:06] (step=0000675) Train Loss: 0.5714, Train Steps/Sec: 0.02, Epoch: 1.9622093023255813, LR: 0.001
[2025-04-19 05:50:32] (step=0001127) Train Loss: 0.7923, Train Steps/Sec: 0.03, Epoch: 3.2761627906976742, LR: 0.001
[2025-04-19 05:50:55] (step=0000676) Train Loss: 0.8676, Train Steps/Sec: 0.02, Epoch: 1.9651162790697674, LR: 0.001
[2025-04-19 05:51:01] (step=0001128) Train Loss: 0.8106, Train Steps/Sec: 0.03, Epoch: 3.2790697674418605, LR: 0.001
[2025-04-19 05:51:31] (step=0001129) Train Loss: 0.6489, Train Steps/Sec: 0.03, Epoch: 3.2819767441860463, LR: 0.001
[2025-04-19 05:51:43] (step=0000677) Train Loss: 0.5265, Train Steps/Sec: 0.02, Epoch: 1.9680232558139534, LR: 0.001
[2025-04-19 05:52:01] (step=0001130) Train Loss: 0.6543, Train Steps/Sec: 0.03, Epoch: 3.2848837209302326, LR: 0.001
[2025-04-19 05:52:30] (step=0001131) Train Loss: 0.4226, Train Steps/Sec: 0.03, Epoch: 3.2877906976744184, LR: 0.001
[2025-04-19 05:52:31] (step=0000678) Train Loss: 0.5230, Train Steps/Sec: 0.02, Epoch: 1.9709302325581395, LR: 0.001
[2025-04-19 05:53:00] (step=0001132) Train Loss: 0.6940, Train Steps/Sec: 0.03, Epoch: 3.2906976744186047, LR: 0.001
[2025-04-19 05:53:19] (step=0000679) Train Loss: 0.4035, Train Steps/Sec: 0.02, Epoch: 1.9738372093023255, LR: 0.001
[2025-04-19 05:53:30] (step=0001133) Train Loss: 0.7479, Train Steps/Sec: 0.03, Epoch: 3.2936046511627906, LR: 0.001
[2025-04-19 05:54:00] (step=0001134) Train Loss: 0.4330, Train Steps/Sec: 0.03, Epoch: 3.296511627906977, LR: 0.001
[2025-04-19 05:54:07] (step=0000680) Train Loss: 0.8432, Train Steps/Sec: 0.02, Epoch: 1.9767441860465116, LR: 0.001
[2025-04-19 05:54:29] (step=0001135) Train Loss: 0.6725, Train Steps/Sec: 0.03, Epoch: 3.2994186046511627, LR: 0.001
[2025-04-19 05:54:56] (step=0000681) Train Loss: 0.8732, Train Steps/Sec: 0.02, Epoch: 1.9796511627906976, LR: 0.001
[2025-04-19 05:54:59] (step=0001136) Train Loss: 0.4812, Train Steps/Sec: 0.03, Epoch: 3.302325581395349, LR: 0.001
[2025-04-19 05:55:28] (step=0001137) Train Loss: 0.7429, Train Steps/Sec: 0.03, Epoch: 3.3052325581395348, LR: 0.001
[2025-04-19 05:55:44] (step=0000682) Train Loss: 0.7571, Train Steps/Sec: 0.02, Epoch: 1.9825581395348837, LR: 0.001
[2025-04-19 05:55:58] (step=0001138) Train Loss: 0.4247, Train Steps/Sec: 0.03, Epoch: 3.308139534883721, LR: 0.001
[2025-04-19 05:56:28] (step=0001139) Train Loss: 0.6505, Train Steps/Sec: 0.03, Epoch: 3.311046511627907, LR: 0.001
[2025-04-19 05:56:32] (step=0000683) Train Loss: 0.8297, Train Steps/Sec: 0.02, Epoch: 1.9854651162790697, LR: 0.001
[2025-04-19 05:56:58] (step=0001140) Train Loss: 0.8058, Train Steps/Sec: 0.03, Epoch: 3.313953488372093, LR: 0.001
[2025-04-19 05:57:20] (step=0000684) Train Loss: 0.6544, Train Steps/Sec: 0.02, Epoch: 1.9883720930232558, LR: 0.001
[2025-04-19 05:57:27] (step=0001141) Train Loss: 0.6079, Train Steps/Sec: 0.03, Epoch: 3.316860465116279, LR: 0.001
[2025-04-19 05:57:57] (step=0001142) Train Loss: 0.6814, Train Steps/Sec: 0.03, Epoch: 3.3197674418604652, LR: 0.001
[2025-04-19 05:58:09] (step=0000685) Train Loss: 0.5735, Train Steps/Sec: 0.02, Epoch: 1.9912790697674418, LR: 0.001
[2025-04-19 05:58:27] (step=0001143) Train Loss: 0.8069, Train Steps/Sec: 0.03, Epoch: 3.322674418604651, LR: 0.001
[2025-04-19 05:58:56] (step=0001144) Train Loss: 0.7065, Train Steps/Sec: 0.03, Epoch: 3.3255813953488373, LR: 0.001
[2025-04-19 05:58:57] (step=0000686) Train Loss: 0.4365, Train Steps/Sec: 0.02, Epoch: 1.994186046511628, LR: 0.001
[2025-04-19 05:59:26] (step=0001145) Train Loss: 0.5550, Train Steps/Sec: 0.03, Epoch: 3.328488372093023, LR: 0.001
[2025-04-19 05:59:45] (step=0000687) Train Loss: 0.8357, Train Steps/Sec: 0.02, Epoch: 1.997093023255814, LR: 0.001
[2025-04-19 05:59:56] (step=0001146) Train Loss: 0.7277, Train Steps/Sec: 0.03, Epoch: 3.3313953488372094, LR: 0.001
[2025-04-19 06:00:25] (step=0001147) Train Loss: 0.5632, Train Steps/Sec: 0.03, Epoch: 3.3343023255813953, LR: 0.001
[2025-04-19 06:00:33] (step=0000688) Train Loss: 0.3788, Train Steps/Sec: 0.02, Epoch: 2.0, LR: 0.001
[2025-04-19 06:00:33] Beginning epoch 2...
[2025-04-19 06:00:55] (step=0001148) Train Loss: 0.6556, Train Steps/Sec: 0.03, Epoch: 3.3372093023255816, LR: 0.001
[2025-04-19 06:01:25] (step=0001149) Train Loss: 0.5087, Train Steps/Sec: 0.03, Epoch: 3.3401162790697674, LR: 0.001
[2025-04-19 06:01:29] (step=0000689) Train Loss: 0.6000, Train Steps/Sec: 0.02, Epoch: 2.002906976744186, LR: 0.001
[2025-04-19 06:01:54] (step=0001150) Train Loss: 0.8117, Train Steps/Sec: 0.03, Epoch: 3.3430232558139537, LR: 0.001
[2025-04-19 06:02:18] (step=0000690) Train Loss: 0.6709, Train Steps/Sec: 0.02, Epoch: 2.005813953488372, LR: 0.001
[2025-04-19 06:02:24] (step=0001151) Train Loss: 0.7382, Train Steps/Sec: 0.03, Epoch: 3.3459302325581395, LR: 0.001
[2025-04-19 06:02:54] (step=0001152) Train Loss: 0.8322, Train Steps/Sec: 0.03, Epoch: 3.3488372093023258, LR: 0.001
[2025-04-19 06:03:06] (step=0000691) Train Loss: 0.5641, Train Steps/Sec: 0.02, Epoch: 2.008720930232558, LR: 0.001
[2025-04-19 06:03:23] (step=0001153) Train Loss: 0.4402, Train Steps/Sec: 0.03, Epoch: 3.3517441860465116, LR: 0.001
[2025-04-19 06:03:53] (step=0001154) Train Loss: 0.4312, Train Steps/Sec: 0.03, Epoch: 3.354651162790698, LR: 0.001
[2025-04-19 06:03:55] (step=0000692) Train Loss: 0.7554, Train Steps/Sec: 0.02, Epoch: 2.011627906976744, LR: 0.001
[2025-04-19 06:04:23] (step=0001155) Train Loss: 0.8117, Train Steps/Sec: 0.03, Epoch: 3.3575581395348837, LR: 0.001
[2025-04-19 06:04:43] (step=0000693) Train Loss: 0.5991, Train Steps/Sec: 0.02, Epoch: 2.01453488372093, LR: 0.001
[2025-04-19 06:04:52] (step=0001156) Train Loss: 0.4580, Train Steps/Sec: 0.03, Epoch: 3.36046511627907, LR: 0.001
[2025-04-19 06:05:22] (step=0001157) Train Loss: 0.5626, Train Steps/Sec: 0.03, Epoch: 3.363372093023256, LR: 0.001
[2025-04-19 06:05:32] (step=0000694) Train Loss: 0.6308, Train Steps/Sec: 0.02, Epoch: 2.0174418604651163, LR: 0.001
[2025-04-19 06:05:50] (step=0000695) Train Loss: 0.7137, Train Steps/Sec: 0.05, Epoch: 2.020348837209302, LR: 0.001
[2025-04-19 06:05:52] (step=0001158) Train Loss: 0.7801, Train Steps/Sec: 0.03, Epoch: 3.366279069767442, LR: 0.001
[2025-04-19 06:06:21] (step=0001159) Train Loss: 0.7816, Train Steps/Sec: 0.03, Epoch: 3.369186046511628, LR: 0.001
[2025-04-19 06:06:39] (step=0000696) Train Loss: 0.7628, Train Steps/Sec: 0.02, Epoch: 2.0232558139534884, LR: 0.001
[2025-04-19 06:06:51] (step=0001160) Train Loss: 0.8324, Train Steps/Sec: 0.03, Epoch: 3.372093023255814, LR: 0.001
[2025-04-19 06:07:20] (step=0001161) Train Loss: 0.8674, Train Steps/Sec: 0.03, Epoch: 3.375, LR: 0.001
[2025-04-19 06:07:27] (step=0000697) Train Loss: 0.4557, Train Steps/Sec: 0.02, Epoch: 2.0261627906976742, LR: 0.001
[2025-04-19 06:07:50] (step=0001162) Train Loss: 0.7405, Train Steps/Sec: 0.03, Epoch: 3.377906976744186, LR: 0.001
[2025-04-19 06:08:15] (step=0000698) Train Loss: 0.8772, Train Steps/Sec: 0.02, Epoch: 2.0290697674418605, LR: 0.001
[2025-04-19 06:08:20] (step=0001163) Train Loss: 0.5921, Train Steps/Sec: 0.03, Epoch: 3.380813953488372, LR: 0.001
[2025-04-19 06:08:49] (step=0001164) Train Loss: 0.6245, Train Steps/Sec: 0.03, Epoch: 3.383720930232558, LR: 0.001
[2025-04-19 06:09:03] (step=0000699) Train Loss: 0.6228, Train Steps/Sec: 0.02, Epoch: 2.0319767441860463, LR: 0.001
[2025-04-19 06:09:19] (step=0001165) Train Loss: 0.8122, Train Steps/Sec: 0.03, Epoch: 3.386627906976744, LR: 0.001
[2025-04-19 06:09:49] (step=0001166) Train Loss: 0.5708, Train Steps/Sec: 0.03, Epoch: 3.38953488372093, LR: 0.001
[2025-04-19 06:09:52] (step=0000700) Train Loss: 0.5474, Train Steps/Sec: 0.02, Epoch: 2.0348837209302326, LR: 0.001
[2025-04-19 06:10:19] (step=0001167) Train Loss: 0.5737, Train Steps/Sec: 0.03, Epoch: 3.3924418604651163, LR: 0.001
[2025-04-19 06:10:40] (step=0000701) Train Loss: 0.6490, Train Steps/Sec: 0.02, Epoch: 2.0377906976744184, LR: 0.001
[2025-04-19 06:10:48] (step=0001168) Train Loss: 0.5701, Train Steps/Sec: 0.03, Epoch: 3.395348837209302, LR: 0.001
[2025-04-19 06:11:18] (step=0001169) Train Loss: 0.4498, Train Steps/Sec: 0.03, Epoch: 3.3982558139534884, LR: 0.001
[2025-04-19 06:11:28] (step=0000702) Train Loss: 0.8399, Train Steps/Sec: 0.02, Epoch: 2.0406976744186047, LR: 0.001
[2025-04-19 06:11:48] (step=0001170) Train Loss: 0.8118, Train Steps/Sec: 0.03, Epoch: 3.4011627906976742, LR: 0.001
[2025-04-19 06:12:17] (step=0000703) Train Loss: 0.8206, Train Steps/Sec: 0.02, Epoch: 2.0436046511627906, LR: 0.001
[2025-04-19 06:12:17] (step=0001171) Train Loss: 0.5326, Train Steps/Sec: 0.03, Epoch: 3.4040697674418605, LR: 0.001
[2025-04-19 06:12:47] (step=0001172) Train Loss: 0.8439, Train Steps/Sec: 0.03, Epoch: 3.4069767441860463, LR: 0.001
[2025-04-19 06:13:05] (step=0000704) Train Loss: 0.6682, Train Steps/Sec: 0.02, Epoch: 2.046511627906977, LR: 0.001
[2025-04-19 06:13:17] (step=0001173) Train Loss: 0.8483, Train Steps/Sec: 0.03, Epoch: 3.4098837209302326, LR: 0.001
[2025-04-19 06:13:46] (step=0001174) Train Loss: 0.5070, Train Steps/Sec: 0.03, Epoch: 3.4127906976744184, LR: 0.001
[2025-04-19 06:13:53] (step=0000705) Train Loss: 0.7476, Train Steps/Sec: 0.02, Epoch: 2.0494186046511627, LR: 0.001
[2025-04-19 06:14:16] (step=0001175) Train Loss: 0.8618, Train Steps/Sec: 0.03, Epoch: 3.4156976744186047, LR: 0.001
[2025-04-19 06:14:42] (step=0000706) Train Loss: 0.5555, Train Steps/Sec: 0.02, Epoch: 2.052325581395349, LR: 0.001
[2025-04-19 06:14:46] (step=0001176) Train Loss: 0.7474, Train Steps/Sec: 0.03, Epoch: 3.4186046511627906, LR: 0.001
[2025-04-19 06:15:15] (step=0001177) Train Loss: 0.8390, Train Steps/Sec: 0.03, Epoch: 3.421511627906977, LR: 0.001
[2025-04-19 06:15:30] (step=0000707) Train Loss: 0.4702, Train Steps/Sec: 0.02, Epoch: 2.0552325581395348, LR: 0.001
[2025-04-19 06:15:45] (step=0001178) Train Loss: 0.5349, Train Steps/Sec: 0.03, Epoch: 3.4244186046511627, LR: 0.001
[2025-04-19 06:16:15] (step=0001179) Train Loss: 0.6348, Train Steps/Sec: 0.03, Epoch: 3.427325581395349, LR: 0.001
[2025-04-19 06:16:18] (step=0000708) Train Loss: 0.7481, Train Steps/Sec: 0.02, Epoch: 2.058139534883721, LR: 0.001
[2025-04-19 06:16:44] (step=0001180) Train Loss: 0.8767, Train Steps/Sec: 0.03, Epoch: 3.4302325581395348, LR: 0.001
[2025-04-19 06:17:06] (step=0000709) Train Loss: 0.4413, Train Steps/Sec: 0.02, Epoch: 2.061046511627907, LR: 0.001
[2025-04-19 06:17:14] (step=0001181) Train Loss: 0.4249, Train Steps/Sec: 0.03, Epoch: 3.433139534883721, LR: 0.001
[2025-04-19 06:17:44] (step=0001182) Train Loss: 0.8673, Train Steps/Sec: 0.03, Epoch: 3.436046511627907, LR: 0.001
[2025-04-19 06:17:54] (step=0000710) Train Loss: 0.8004, Train Steps/Sec: 0.02, Epoch: 2.063953488372093, LR: 0.001
[2025-04-19 06:18:14] (step=0001183) Train Loss: 0.8272, Train Steps/Sec: 0.03, Epoch: 3.438953488372093, LR: 0.001
[2025-04-19 06:18:42] (step=0000711) Train Loss: 0.7096, Train Steps/Sec: 0.02, Epoch: 2.066860465116279, LR: 0.001
[2025-04-19 06:18:43] (step=0001184) Train Loss: 0.8438, Train Steps/Sec: 0.03, Epoch: 3.441860465116279, LR: 0.001
[2025-04-19 06:19:13] (step=0001185) Train Loss: 0.8514, Train Steps/Sec: 0.03, Epoch: 3.4447674418604652, LR: 0.001
[2025-04-19 06:19:31] (step=0000712) Train Loss: 0.5304, Train Steps/Sec: 0.02, Epoch: 2.0697674418604652, LR: 0.001
[2025-04-19 06:19:43] (step=0001186) Train Loss: 0.8852, Train Steps/Sec: 0.03, Epoch: 3.447674418604651, LR: 0.001
[2025-04-19 06:19:49] (step=0000713) Train Loss: 0.7113, Train Steps/Sec: 0.05, Epoch: 2.072674418604651, LR: 0.001
[2025-04-19 06:20:12] (step=0001187) Train Loss: 0.6154, Train Steps/Sec: 0.03, Epoch: 3.4505813953488373, LR: 0.001
[2025-04-19 06:20:37] (step=0000714) Train Loss: 0.7900, Train Steps/Sec: 0.02, Epoch: 2.0755813953488373, LR: 0.001
[2025-04-19 06:20:42] (step=0001188) Train Loss: 0.4877, Train Steps/Sec: 0.03, Epoch: 3.453488372093023, LR: 0.001
[2025-04-19 06:21:12] (step=0001189) Train Loss: 0.7109, Train Steps/Sec: 0.03, Epoch: 3.4563953488372094, LR: 0.001
[2025-04-19 06:21:25] (step=0000715) Train Loss: 0.8776, Train Steps/Sec: 0.02, Epoch: 2.078488372093023, LR: 0.001
[2025-04-19 06:21:41] (step=0001190) Train Loss: 0.7543, Train Steps/Sec: 0.03, Epoch: 3.4593023255813953, LR: 0.001
[2025-04-19 06:22:11] (step=0001191) Train Loss: 0.4070, Train Steps/Sec: 0.03, Epoch: 3.4622093023255816, LR: 0.001
[2025-04-19 06:22:13] (step=0000716) Train Loss: 0.7381, Train Steps/Sec: 0.02, Epoch: 2.0813953488372094, LR: 0.001
[2025-04-19 06:22:40] (step=0001192) Train Loss: 0.7259, Train Steps/Sec: 0.03, Epoch: 3.4651162790697674, LR: 0.001
[2025-04-19 06:23:02] (step=0000717) Train Loss: 0.5927, Train Steps/Sec: 0.02, Epoch: 2.0843023255813953, LR: 0.001
[2025-04-19 06:23:10] (step=0001193) Train Loss: 0.6769, Train Steps/Sec: 0.03, Epoch: 3.4680232558139537, LR: 0.001
[2025-04-19 06:23:39] (step=0001194) Train Loss: 0.6139, Train Steps/Sec: 0.03, Epoch: 3.4709302325581395, LR: 0.001
[2025-04-19 06:23:50] (step=0000718) Train Loss: 0.3953, Train Steps/Sec: 0.02, Epoch: 2.0872093023255816, LR: 0.001
[2025-04-19 06:24:09] (step=0001195) Train Loss: 0.8413, Train Steps/Sec: 0.03, Epoch: 3.4738372093023258, LR: 0.001
[2025-04-19 06:24:38] (step=0000719) Train Loss: 0.8603, Train Steps/Sec: 0.02, Epoch: 2.0901162790697674, LR: 0.001
[2025-04-19 06:24:39] (step=0001196) Train Loss: 0.5491, Train Steps/Sec: 0.03, Epoch: 3.4767441860465116, LR: 0.001
[2025-04-19 06:25:09] (step=0001197) Train Loss: 0.8439, Train Steps/Sec: 0.03, Epoch: 3.479651162790698, LR: 0.001
[2025-04-19 06:25:27] (step=0000720) Train Loss: 0.8805, Train Steps/Sec: 0.02, Epoch: 2.0930232558139537, LR: 0.001
[2025-04-19 06:25:38] (step=0001198) Train Loss: 0.4666, Train Steps/Sec: 0.03, Epoch: 3.4825581395348837, LR: 0.001
[2025-04-19 06:26:08] (step=0001199) Train Loss: 0.4889, Train Steps/Sec: 0.03, Epoch: 3.48546511627907, LR: 0.001
[2025-04-19 06:26:15] (step=0000721) Train Loss: 0.5746, Train Steps/Sec: 0.02, Epoch: 2.0959302325581395, LR: 0.001
[2025-04-19 06:26:38] (step=0001200) Train Loss: 0.8259, Train Steps/Sec: 0.03, Epoch: 3.488372093023256, LR: 0.001
[2025-04-19 06:26:51] Saved checkpoint to ./results/sfm_based//checkpoints/0001200/
[2025-04-19 06:27:03] (step=0000722) Train Loss: 0.6972, Train Steps/Sec: 0.02, Epoch: 2.0988372093023258, LR: 0.001
[2025-04-19 06:27:20] (step=0001201) Train Loss: 0.7173, Train Steps/Sec: 0.02, Epoch: 3.491279069767442, LR: 0.001
[2025-04-19 06:27:50] (step=0001202) Train Loss: 0.8779, Train Steps/Sec: 0.03, Epoch: 3.494186046511628, LR: 0.001
[2025-04-19 06:27:52] (step=0000723) Train Loss: 0.5408, Train Steps/Sec: 0.02, Epoch: 2.1017441860465116, LR: 0.001
[2025-04-19 06:28:20] (step=0001203) Train Loss: 0.7565, Train Steps/Sec: 0.03, Epoch: 3.497093023255814, LR: 0.001
[2025-04-19 06:28:40] (step=0000724) Train Loss: 0.8047, Train Steps/Sec: 0.02, Epoch: 2.104651162790698, LR: 0.001
[2025-04-19 06:28:50] (step=0001204) Train Loss: 0.7482, Train Steps/Sec: 0.03, Epoch: 3.5, LR: 0.001
[2025-04-19 06:29:19] (step=0001205) Train Loss: 0.8682, Train Steps/Sec: 0.03, Epoch: 3.502906976744186, LR: 0.001
[2025-04-19 06:29:28] (step=0000725) Train Loss: 0.8313, Train Steps/Sec: 0.02, Epoch: 2.1075581395348837, LR: 0.001
[2025-04-19 06:29:49] (step=0001206) Train Loss: 0.8005, Train Steps/Sec: 0.03, Epoch: 3.505813953488372, LR: 0.001
[2025-04-19 06:30:16] (step=0000726) Train Loss: 0.5751, Train Steps/Sec: 0.02, Epoch: 2.11046511627907, LR: 0.001
[2025-04-19 06:30:19] (step=0001207) Train Loss: 0.7744, Train Steps/Sec: 0.03, Epoch: 3.508720930232558, LR: 0.001
[2025-04-19 06:30:48] (step=0001208) Train Loss: 0.8001, Train Steps/Sec: 0.03, Epoch: 3.511627906976744, LR: 0.001
[2025-04-19 06:31:05] (step=0000727) Train Loss: 0.7144, Train Steps/Sec: 0.02, Epoch: 2.113372093023256, LR: 0.001
[2025-04-19 06:31:18] (step=0001209) Train Loss: 0.7153, Train Steps/Sec: 0.03, Epoch: 3.51453488372093, LR: 0.001
[2025-04-19 06:31:48] (step=0001210) Train Loss: 0.7627, Train Steps/Sec: 0.03, Epoch: 3.5174418604651163, LR: 0.001
[2025-04-19 06:31:53] (step=0000728) Train Loss: 0.7022, Train Steps/Sec: 0.02, Epoch: 2.116279069767442, LR: 0.001
[2025-04-19 06:32:17] (step=0001211) Train Loss: 0.4656, Train Steps/Sec: 0.03, Epoch: 3.520348837209302, LR: 0.001
[2025-04-19 06:32:41] (step=0000729) Train Loss: 0.7512, Train Steps/Sec: 0.02, Epoch: 2.119186046511628, LR: 0.001
[2025-04-19 06:32:47] (step=0001212) Train Loss: 0.5144, Train Steps/Sec: 0.03, Epoch: 3.5232558139534884, LR: 0.001
[2025-04-19 06:33:17] (step=0001213) Train Loss: 0.7770, Train Steps/Sec: 0.03, Epoch: 3.5261627906976742, LR: 0.001
[2025-04-19 06:33:30] (step=0000730) Train Loss: 0.4042, Train Steps/Sec: 0.02, Epoch: 2.122093023255814, LR: 0.001
[2025-04-19 06:33:47] (step=0001214) Train Loss: 0.5913, Train Steps/Sec: 0.03, Epoch: 3.5290697674418605, LR: 0.001
[2025-04-19 06:34:16] (step=0001215) Train Loss: 0.5110, Train Steps/Sec: 0.03, Epoch: 3.5319767441860463, LR: 0.001
[2025-04-19 06:34:18] (step=0000731) Train Loss: 0.6126, Train Steps/Sec: 0.02, Epoch: 2.125, LR: 0.001
[2025-04-19 06:34:46] (step=0001216) Train Loss: 0.5042, Train Steps/Sec: 0.03, Epoch: 3.5348837209302326, LR: 0.001
[2025-04-19 06:35:06] (step=0000732) Train Loss: 0.4028, Train Steps/Sec: 0.02, Epoch: 2.127906976744186, LR: 0.001
[2025-04-19 06:35:16] (step=0001217) Train Loss: 0.8412, Train Steps/Sec: 0.03, Epoch: 3.5377906976744184, LR: 0.001
[2025-04-19 06:35:46] (step=0001218) Train Loss: 0.7301, Train Steps/Sec: 0.03, Epoch: 3.5406976744186047, LR: 0.001
[2025-04-19 06:35:54] (step=0000733) Train Loss: 0.5931, Train Steps/Sec: 0.02, Epoch: 2.130813953488372, LR: 0.001
[2025-04-19 06:36:15] (step=0001219) Train Loss: 0.8776, Train Steps/Sec: 0.03, Epoch: 3.5436046511627906, LR: 0.001
[2025-04-19 06:36:43] (step=0000734) Train Loss: 0.5519, Train Steps/Sec: 0.02, Epoch: 2.133720930232558, LR: 0.001
[2025-04-19 06:36:45] (step=0001220) Train Loss: 0.7200, Train Steps/Sec: 0.03, Epoch: 3.546511627906977, LR: 0.001
[2025-04-19 06:37:14] (step=0001221) Train Loss: 0.7448, Train Steps/Sec: 0.03, Epoch: 3.5494186046511627, LR: 0.001
[2025-04-19 06:37:31] (step=0000735) Train Loss: 0.7948, Train Steps/Sec: 0.02, Epoch: 2.136627906976744, LR: 0.001
[2025-04-19 06:37:44] (step=0001222) Train Loss: 0.6223, Train Steps/Sec: 0.03, Epoch: 3.552325581395349, LR: 0.001
[2025-04-19 06:38:14] (step=0001223) Train Loss: 0.4580, Train Steps/Sec: 0.03, Epoch: 3.5552325581395348, LR: 0.001
[2025-04-19 06:38:19] (step=0000736) Train Loss: 0.7886, Train Steps/Sec: 0.02, Epoch: 2.13953488372093, LR: 0.001
[2025-04-19 06:38:43] (step=0001224) Train Loss: 0.4280, Train Steps/Sec: 0.03, Epoch: 3.558139534883721, LR: 0.001
[2025-04-19 06:39:07] (step=0000737) Train Loss: 0.6325, Train Steps/Sec: 0.02, Epoch: 2.1424418604651163, LR: 0.001
[2025-04-19 06:39:13] (step=0001225) Train Loss: 0.8139, Train Steps/Sec: 0.03, Epoch: 3.561046511627907, LR: 0.001
[2025-04-19 06:39:43] (step=0001226) Train Loss: 0.7592, Train Steps/Sec: 0.03, Epoch: 3.563953488372093, LR: 0.001
[2025-04-19 06:39:55] (step=0000738) Train Loss: 0.8664, Train Steps/Sec: 0.02, Epoch: 2.145348837209302, LR: 0.001
[2025-04-19 06:40:12] (step=0001227) Train Loss: 0.7236, Train Steps/Sec: 0.03, Epoch: 3.566860465116279, LR: 0.001
[2025-04-19 06:40:42] (step=0001228) Train Loss: 0.8396, Train Steps/Sec: 0.03, Epoch: 3.5697674418604652, LR: 0.001
[2025-04-19 06:40:44] (step=0000739) Train Loss: 0.8624, Train Steps/Sec: 0.02, Epoch: 2.1482558139534884, LR: 0.001
[2025-04-19 06:41:12] (step=0001229) Train Loss: 0.5349, Train Steps/Sec: 0.03, Epoch: 3.572674418604651, LR: 0.001
[2025-04-19 06:41:32] (step=0000740) Train Loss: 0.6972, Train Steps/Sec: 0.02, Epoch: 2.1511627906976742, LR: 0.001
[2025-04-19 06:41:41] (step=0001230) Train Loss: 0.6834, Train Steps/Sec: 0.03, Epoch: 3.5755813953488373, LR: 0.001
[2025-04-19 06:42:11] (step=0001231) Train Loss: 0.4588, Train Steps/Sec: 0.03, Epoch: 3.578488372093023, LR: 0.001
[2025-04-19 06:42:20] (step=0000741) Train Loss: 0.8261, Train Steps/Sec: 0.02, Epoch: 2.1540697674418605, LR: 0.001
[2025-04-19 06:42:40] (step=0001232) Train Loss: 0.6033, Train Steps/Sec: 0.03, Epoch: 3.5813953488372094, LR: 0.001
[2025-04-19 06:43:09] (step=0000742) Train Loss: 0.6636, Train Steps/Sec: 0.02, Epoch: 2.1569767441860463, LR: 0.001
[2025-04-19 06:43:10] (step=0001233) Train Loss: 0.6551, Train Steps/Sec: 0.03, Epoch: 3.5843023255813953, LR: 0.001
[2025-04-19 06:43:40] (step=0001234) Train Loss: 0.4178, Train Steps/Sec: 0.03, Epoch: 3.5872093023255816, LR: 0.001
[2025-04-19 06:43:57] (step=0000743) Train Loss: 0.7480, Train Steps/Sec: 0.02, Epoch: 2.1598837209302326, LR: 0.001
[2025-04-19 06:44:10] (step=0001235) Train Loss: 0.7586, Train Steps/Sec: 0.03, Epoch: 3.5901162790697674, LR: 0.001
[2025-04-19 06:44:39] (step=0001236) Train Loss: 0.4725, Train Steps/Sec: 0.03, Epoch: 3.5930232558139537, LR: 0.001
[2025-04-19 06:44:46] (step=0000744) Train Loss: 0.3707, Train Steps/Sec: 0.02, Epoch: 2.1627906976744184, LR: 0.001
[2025-04-19 06:45:09] (step=0001237) Train Loss: 0.6752, Train Steps/Sec: 0.03, Epoch: 3.5959302325581395, LR: 0.001
[2025-04-19 06:45:34] (step=0000745) Train Loss: 0.7640, Train Steps/Sec: 0.02, Epoch: 2.1656976744186047, LR: 0.001
[2025-04-19 06:45:39] (step=0001238) Train Loss: 0.8516, Train Steps/Sec: 0.03, Epoch: 3.5988372093023258, LR: 0.001
[2025-04-19 06:46:08] (step=0001239) Train Loss: 0.5938, Train Steps/Sec: 0.03, Epoch: 3.6017441860465116, LR: 0.001
[2025-04-19 06:46:22] (step=0000746) Train Loss: 0.6883, Train Steps/Sec: 0.02, Epoch: 2.1686046511627906, LR: 0.001
[2025-04-19 06:46:38] (step=0001240) Train Loss: 0.6306, Train Steps/Sec: 0.03, Epoch: 3.604651162790698, LR: 0.001
[2025-04-19 06:47:08] (step=0001241) Train Loss: 0.7691, Train Steps/Sec: 0.03, Epoch: 3.6075581395348837, LR: 0.001
[2025-04-19 06:47:11] (step=0000747) Train Loss: 0.8002, Train Steps/Sec: 0.02, Epoch: 2.171511627906977, LR: 0.001
[2025-04-19 06:47:38] (step=0001242) Train Loss: 0.8626, Train Steps/Sec: 0.03, Epoch: 3.61046511627907, LR: 0.001
[2025-04-19 06:47:59] (step=0000748) Train Loss: 0.6667, Train Steps/Sec: 0.02, Epoch: 2.1744186046511627, LR: 0.001
[2025-04-19 06:48:07] (step=0001243) Train Loss: 0.5254, Train Steps/Sec: 0.03, Epoch: 3.613372093023256, LR: 0.001
[2025-04-19 06:48:37] (step=0001244) Train Loss: 0.4692, Train Steps/Sec: 0.03, Epoch: 3.616279069767442, LR: 0.001
[2025-04-19 06:48:47] (step=0000749) Train Loss: 0.8148, Train Steps/Sec: 0.02, Epoch: 2.177325581395349, LR: 0.001
[2025-04-19 06:49:06] (step=0001245) Train Loss: 0.4027, Train Steps/Sec: 0.03, Epoch: 3.619186046511628, LR: 0.001
[2025-04-19 06:49:35] (step=0000750) Train Loss: 0.8329, Train Steps/Sec: 0.02, Epoch: 2.1802325581395348, LR: 0.001
[2025-04-19 06:49:36] (step=0001246) Train Loss: 0.6658, Train Steps/Sec: 0.03, Epoch: 3.622093023255814, LR: 0.001
[2025-04-19 06:50:06] (step=0001247) Train Loss: 0.7983, Train Steps/Sec: 0.03, Epoch: 3.625, LR: 0.001
[2025-04-19 06:50:24] (step=0000751) Train Loss: 0.3498, Train Steps/Sec: 0.02, Epoch: 2.183139534883721, LR: 0.001
[2025-04-19 06:50:35] (step=0001248) Train Loss: 0.8070, Train Steps/Sec: 0.03, Epoch: 3.627906976744186, LR: 0.001
[2025-04-19 06:51:05] (step=0001249) Train Loss: 0.4671, Train Steps/Sec: 0.03, Epoch: 3.630813953488372, LR: 0.001
[2025-04-19 06:51:12] (step=0000752) Train Loss: 0.5938, Train Steps/Sec: 0.02, Epoch: 2.186046511627907, LR: 0.001
[2025-04-19 06:51:34] (step=0001250) Train Loss: 0.8706, Train Steps/Sec: 0.03, Epoch: 3.633720930232558, LR: 0.001
[2025-04-19 06:52:00] (step=0000753) Train Loss: 0.6943, Train Steps/Sec: 0.02, Epoch: 2.188953488372093, LR: 0.001
[2025-04-19 06:52:04] (step=0001251) Train Loss: 0.7631, Train Steps/Sec: 0.03, Epoch: 3.636627906976744, LR: 0.001
[2025-04-19 06:52:34] (step=0001252) Train Loss: 0.5889, Train Steps/Sec: 0.03, Epoch: 3.63953488372093, LR: 0.001
[2025-04-19 06:52:49] (step=0000754) Train Loss: 0.8059, Train Steps/Sec: 0.02, Epoch: 2.191860465116279, LR: 0.001
[2025-04-19 06:53:03] (step=0001253) Train Loss: 0.7575, Train Steps/Sec: 0.03, Epoch: 3.6424418604651163, LR: 0.001
[2025-04-19 06:53:33] (step=0001254) Train Loss: 0.8288, Train Steps/Sec: 0.03, Epoch: 3.645348837209302, LR: 0.001
[2025-04-19 06:53:37] (step=0000755) Train Loss: 0.7360, Train Steps/Sec: 0.02, Epoch: 2.1947674418604652, LR: 0.001
[2025-04-19 06:54:03] (step=0001255) Train Loss: 0.5216, Train Steps/Sec: 0.03, Epoch: 3.6482558139534884, LR: 0.001
[2025-04-19 06:54:25] (step=0000756) Train Loss: 0.7765, Train Steps/Sec: 0.02, Epoch: 2.197674418604651, LR: 0.001
[2025-04-19 06:54:33] (step=0001256) Train Loss: 0.5202, Train Steps/Sec: 0.03, Epoch: 3.6511627906976742, LR: 0.001
[2025-04-19 06:55:02] (step=0001257) Train Loss: 0.5480, Train Steps/Sec: 0.03, Epoch: 3.6540697674418605, LR: 0.001
[2025-04-19 06:55:14] (step=0000757) Train Loss: 0.5415, Train Steps/Sec: 0.02, Epoch: 2.2005813953488373, LR: 0.001
[2025-04-19 06:55:32] (step=0001258) Train Loss: 0.7334, Train Steps/Sec: 0.03, Epoch: 3.6569767441860463, LR: 0.001
[2025-04-19 06:56:01] (step=0001259) Train Loss: 0.5415, Train Steps/Sec: 0.03, Epoch: 3.6598837209302326, LR: 0.001
[2025-04-19 06:56:02] (step=0000758) Train Loss: 0.7423, Train Steps/Sec: 0.02, Epoch: 2.203488372093023, LR: 0.001
[2025-04-19 06:56:31] (step=0001260) Train Loss: 0.5082, Train Steps/Sec: 0.03, Epoch: 3.6627906976744184, LR: 0.001
[2025-04-19 06:56:50] (step=0000759) Train Loss: 0.8810, Train Steps/Sec: 0.02, Epoch: 2.2063953488372094, LR: 0.001
[2025-04-19 06:57:01] (step=0001261) Train Loss: 0.8076, Train Steps/Sec: 0.03, Epoch: 3.6656976744186047, LR: 0.001
[2025-04-19 06:57:31] (step=0001262) Train Loss: 0.6043, Train Steps/Sec: 0.03, Epoch: 3.6686046511627906, LR: 0.001
[2025-04-19 06:57:39] (step=0000760) Train Loss: 0.7848, Train Steps/Sec: 0.02, Epoch: 2.2093023255813953, LR: 0.001
[2025-04-19 06:58:01] (step=0001263) Train Loss: 0.7918, Train Steps/Sec: 0.03, Epoch: 3.671511627906977, LR: 0.001
[2025-04-19 06:58:27] (step=0000761) Train Loss: 0.8332, Train Steps/Sec: 0.02, Epoch: 2.2122093023255816, LR: 0.001
[2025-04-19 06:58:30] (step=0001264) Train Loss: 0.5245, Train Steps/Sec: 0.03, Epoch: 3.6744186046511627, LR: 0.001
[2025-04-19 06:59:00] (step=0001265) Train Loss: 0.4321, Train Steps/Sec: 0.03, Epoch: 3.677325581395349, LR: 0.001
[2025-04-19 06:59:15] (step=0000762) Train Loss: 0.5187, Train Steps/Sec: 0.02, Epoch: 2.2151162790697674, LR: 0.001
[2025-04-19 06:59:30] (step=0001266) Train Loss: 0.4228, Train Steps/Sec: 0.03, Epoch: 3.6802325581395348, LR: 0.001
[2025-04-19 06:59:59] (step=0001267) Train Loss: 0.7723, Train Steps/Sec: 0.03, Epoch: 3.683139534883721, LR: 0.001
[2025-04-19 07:00:03] (step=0000763) Train Loss: 0.3685, Train Steps/Sec: 0.02, Epoch: 2.2180232558139537, LR: 0.001
[2025-04-19 07:00:29] (step=0001268) Train Loss: 0.5507, Train Steps/Sec: 0.03, Epoch: 3.686046511627907, LR: 0.001
[2025-04-19 07:00:52] (step=0000764) Train Loss: 0.8757, Train Steps/Sec: 0.02, Epoch: 2.2209302325581395, LR: 0.001
[2025-04-19 07:00:58] (step=0001269) Train Loss: 0.7641, Train Steps/Sec: 0.03, Epoch: 3.688953488372093, LR: 0.001
[2025-04-19 07:01:28] (step=0001270) Train Loss: 0.4650, Train Steps/Sec: 0.03, Epoch: 3.691860465116279, LR: 0.001
[2025-04-19 07:01:40] (step=0000765) Train Loss: 0.7839, Train Steps/Sec: 0.02, Epoch: 2.2238372093023258, LR: 0.001
[2025-04-19 07:01:57] (step=0001271) Train Loss: 0.4892, Train Steps/Sec: 0.03, Epoch: 3.6947674418604652, LR: 0.001
[2025-04-19 07:02:27] (step=0001272) Train Loss: 0.8041, Train Steps/Sec: 0.03, Epoch: 3.697674418604651, LR: 0.001
[2025-04-19 07:02:28] (step=0000766) Train Loss: 0.7834, Train Steps/Sec: 0.02, Epoch: 2.2267441860465116, LR: 0.001
[2025-04-19 07:02:57] (step=0001273) Train Loss: 0.5206, Train Steps/Sec: 0.03, Epoch: 3.7005813953488373, LR: 0.001
[2025-04-19 07:03:16] (step=0000767) Train Loss: 0.7586, Train Steps/Sec: 0.02, Epoch: 2.229651162790698, LR: 0.001
[2025-04-19 07:03:26] (step=0001274) Train Loss: 0.3843, Train Steps/Sec: 0.03, Epoch: 3.703488372093023, LR: 0.001
[2025-04-19 07:03:56] (step=0001275) Train Loss: 0.8117, Train Steps/Sec: 0.03, Epoch: 3.7063953488372094, LR: 0.001
[2025-04-19 07:04:04] (step=0000768) Train Loss: 0.5705, Train Steps/Sec: 0.02, Epoch: 2.2325581395348837, LR: 0.001
[2025-04-19 07:04:25] (step=0001276) Train Loss: 0.5242, Train Steps/Sec: 0.03, Epoch: 3.7093023255813953, LR: 0.001
[2025-04-19 07:04:53] (step=0000769) Train Loss: 0.6334, Train Steps/Sec: 0.02, Epoch: 2.23546511627907, LR: 0.001
[2025-04-19 07:04:55] (step=0001277) Train Loss: 0.5409, Train Steps/Sec: 0.03, Epoch: 3.7122093023255816, LR: 0.001
[2025-04-19 07:05:25] (step=0001278) Train Loss: 0.7964, Train Steps/Sec: 0.03, Epoch: 3.7151162790697674, LR: 0.001
[2025-04-19 07:05:41] (step=0000770) Train Loss: 0.8135, Train Steps/Sec: 0.02, Epoch: 2.238372093023256, LR: 0.001
[2025-04-19 07:05:54] (step=0001279) Train Loss: 0.6900, Train Steps/Sec: 0.03, Epoch: 3.7180232558139537, LR: 0.001
[2025-04-19 07:06:24] (step=0001280) Train Loss: 0.4782, Train Steps/Sec: 0.03, Epoch: 3.7209302325581395, LR: 0.001
[2025-04-19 07:06:29] (step=0000771) Train Loss: 0.8553, Train Steps/Sec: 0.02, Epoch: 2.241279069767442, LR: 0.001
[2025-04-19 07:06:53] (step=0001281) Train Loss: 0.8082, Train Steps/Sec: 0.03, Epoch: 3.7238372093023258, LR: 0.001
[2025-04-19 07:07:17] (step=0000772) Train Loss: 0.5564, Train Steps/Sec: 0.02, Epoch: 2.244186046511628, LR: 0.001
[2025-04-19 07:07:23] (step=0001282) Train Loss: 0.4977, Train Steps/Sec: 0.03, Epoch: 3.7267441860465116, LR: 0.001
[2025-04-19 07:07:53] (step=0001283) Train Loss: 0.7612, Train Steps/Sec: 0.03, Epoch: 3.729651162790698, LR: 0.001
[2025-04-19 07:08:05] (step=0000773) Train Loss: 0.7637, Train Steps/Sec: 0.02, Epoch: 2.247093023255814, LR: 0.001
[2025-04-19 07:08:22] (step=0001284) Train Loss: 0.8099, Train Steps/Sec: 0.03, Epoch: 3.7325581395348837, LR: 0.001
[2025-04-19 07:08:52] (step=0001285) Train Loss: 0.6663, Train Steps/Sec: 0.03, Epoch: 3.73546511627907, LR: 0.001
[2025-04-19 07:08:53] (step=0000774) Train Loss: 0.6828, Train Steps/Sec: 0.02, Epoch: 2.25, LR: 0.001
[2025-04-19 07:09:21] (step=0001286) Train Loss: 0.6198, Train Steps/Sec: 0.03, Epoch: 3.738372093023256, LR: 0.001
[2025-04-19 07:09:41] (step=0000775) Train Loss: 0.4606, Train Steps/Sec: 0.02, Epoch: 2.252906976744186, LR: 0.001
[2025-04-19 07:09:51] (step=0001287) Train Loss: 0.7190, Train Steps/Sec: 0.03, Epoch: 3.741279069767442, LR: 0.001
[2025-04-19 07:10:20] (step=0001288) Train Loss: 0.5205, Train Steps/Sec: 0.03, Epoch: 3.744186046511628, LR: 0.001
[2025-04-19 07:10:30] (step=0000776) Train Loss: 0.7177, Train Steps/Sec: 0.02, Epoch: 2.255813953488372, LR: 0.001
[2025-04-19 07:10:50] (step=0001289) Train Loss: 0.6689, Train Steps/Sec: 0.03, Epoch: 3.747093023255814, LR: 0.001
[2025-04-19 07:11:18] (step=0000777) Train Loss: 0.7980, Train Steps/Sec: 0.02, Epoch: 2.258720930232558, LR: 0.001
[2025-04-19 07:11:19] (step=0001290) Train Loss: 0.7080, Train Steps/Sec: 0.03, Epoch: 3.75, LR: 0.001
[2025-04-19 07:11:49] (step=0001291) Train Loss: 0.5634, Train Steps/Sec: 0.03, Epoch: 3.752906976744186, LR: 0.001
[2025-04-19 07:12:06] (step=0000778) Train Loss: 0.7786, Train Steps/Sec: 0.02, Epoch: 2.261627906976744, LR: 0.001
[2025-04-19 07:12:19] (step=0001292) Train Loss: 0.6588, Train Steps/Sec: 0.03, Epoch: 3.755813953488372, LR: 0.001
[2025-04-19 07:12:49] (step=0001293) Train Loss: 0.8330, Train Steps/Sec: 0.03, Epoch: 3.758720930232558, LR: 0.001
[2025-04-19 07:12:55] (step=0000779) Train Loss: 0.4103, Train Steps/Sec: 0.02, Epoch: 2.26453488372093, LR: 0.001
[2025-04-19 07:13:18] (step=0001294) Train Loss: 0.8008, Train Steps/Sec: 0.03, Epoch: 3.761627906976744, LR: 0.001
[2025-04-19 07:13:43] (step=0000780) Train Loss: 0.8301, Train Steps/Sec: 0.02, Epoch: 2.2674418604651163, LR: 0.001
[2025-04-19 07:13:48] (step=0001295) Train Loss: 0.6484, Train Steps/Sec: 0.03, Epoch: 3.76453488372093, LR: 0.001
[2025-04-19 07:14:17] (step=0001296) Train Loss: 0.7425, Train Steps/Sec: 0.03, Epoch: 3.7674418604651163, LR: 0.001
[2025-04-19 07:14:31] (step=0000781) Train Loss: 0.7300, Train Steps/Sec: 0.02, Epoch: 2.270348837209302, LR: 0.001
[2025-04-19 07:14:47] (step=0001297) Train Loss: 0.6740, Train Steps/Sec: 0.03, Epoch: 3.770348837209302, LR: 0.001
[2025-04-19 07:15:17] (step=0001298) Train Loss: 0.5166, Train Steps/Sec: 0.03, Epoch: 3.7732558139534884, LR: 0.001
[2025-04-19 07:15:19] (step=0000782) Train Loss: 0.7120, Train Steps/Sec: 0.02, Epoch: 2.2732558139534884, LR: 0.001
[2025-04-19 07:15:47] (step=0001299) Train Loss: 0.6798, Train Steps/Sec: 0.03, Epoch: 3.7761627906976742, LR: 0.001
[2025-04-19 07:16:08] (step=0000783) Train Loss: 0.5872, Train Steps/Sec: 0.02, Epoch: 2.2761627906976742, LR: 0.001
[2025-04-19 07:16:16] (step=0001300) Train Loss: 0.5402, Train Steps/Sec: 0.03, Epoch: 3.7790697674418605, LR: 0.001
[2025-04-19 07:16:46] (step=0001301) Train Loss: 0.5950, Train Steps/Sec: 0.03, Epoch: 3.7819767441860463, LR: 0.001
[2025-04-19 07:16:56] (step=0000784) Train Loss: 0.7981, Train Steps/Sec: 0.02, Epoch: 2.2790697674418605, LR: 0.001
[2025-04-19 07:17:15] (step=0001302) Train Loss: 0.5162, Train Steps/Sec: 0.03, Epoch: 3.7848837209302326, LR: 0.001
[2025-04-19 07:17:44] (step=0000785) Train Loss: 0.3798, Train Steps/Sec: 0.02, Epoch: 2.2819767441860463, LR: 0.001
[2025-04-19 07:17:45] (step=0001303) Train Loss: 0.5249, Train Steps/Sec: 0.03, Epoch: 3.7877906976744184, LR: 0.001
[2025-04-19 07:18:15] (step=0001304) Train Loss: 0.5661, Train Steps/Sec: 0.03, Epoch: 3.7906976744186047, LR: 0.001
[2025-04-19 07:18:32] (step=0000786) Train Loss: 0.4185, Train Steps/Sec: 0.02, Epoch: 2.2848837209302326, LR: 0.001
[2025-04-19 07:18:44] (step=0001305) Train Loss: 0.7828, Train Steps/Sec: 0.03, Epoch: 3.7936046511627906, LR: 0.001
[2025-04-19 07:19:14] (step=0001306) Train Loss: 0.7097, Train Steps/Sec: 0.03, Epoch: 3.796511627906977, LR: 0.001
[2025-04-19 07:19:20] (step=0000787) Train Loss: 0.5544, Train Steps/Sec: 0.02, Epoch: 2.2877906976744184, LR: 0.001
[2025-04-19 07:19:44] (step=0001307) Train Loss: 0.6057, Train Steps/Sec: 0.03, Epoch: 3.7994186046511627, LR: 0.001
[2025-04-19 07:20:09] (step=0000788) Train Loss: 0.5243, Train Steps/Sec: 0.02, Epoch: 2.2906976744186047, LR: 0.001
[2025-04-19 07:20:13] (step=0001308) Train Loss: 0.6814, Train Steps/Sec: 0.03, Epoch: 3.802325581395349, LR: 0.001
[2025-04-19 07:20:43] (step=0001309) Train Loss: 0.6719, Train Steps/Sec: 0.03, Epoch: 3.8052325581395348, LR: 0.001
[2025-04-19 07:20:57] (step=0000789) Train Loss: 0.8798, Train Steps/Sec: 0.02, Epoch: 2.2936046511627906, LR: 0.001
[2025-04-19 07:21:13] (step=0001310) Train Loss: 0.4501, Train Steps/Sec: 0.03, Epoch: 3.808139534883721, LR: 0.001
[2025-04-19 07:21:42] (step=0001311) Train Loss: 0.5973, Train Steps/Sec: 0.03, Epoch: 3.811046511627907, LR: 0.001
[2025-04-19 07:21:45] (step=0000790) Train Loss: 0.5685, Train Steps/Sec: 0.02, Epoch: 2.296511627906977, LR: 0.001
[2025-04-19 07:22:12] (step=0001312) Train Loss: 0.5475, Train Steps/Sec: 0.03, Epoch: 3.813953488372093, LR: 0.001
[2025-04-19 07:22:33] (step=0000791) Train Loss: 0.7328, Train Steps/Sec: 0.02, Epoch: 2.2994186046511627, LR: 0.001
[2025-04-19 07:22:42] (step=0001313) Train Loss: 0.8438, Train Steps/Sec: 0.03, Epoch: 3.816860465116279, LR: 0.001
[2025-04-19 07:23:12] (step=0001314) Train Loss: 0.8339, Train Steps/Sec: 0.03, Epoch: 3.8197674418604652, LR: 0.001
[2025-04-19 07:23:21] (step=0000792) Train Loss: 0.8590, Train Steps/Sec: 0.02, Epoch: 2.302325581395349, LR: 0.001
[2025-04-19 07:23:41] (step=0001315) Train Loss: 0.3960, Train Steps/Sec: 0.03, Epoch: 3.822674418604651, LR: 0.001
[2025-04-19 07:24:09] (step=0000793) Train Loss: 0.6344, Train Steps/Sec: 0.02, Epoch: 2.3052325581395348, LR: 0.001
[2025-04-19 07:24:10] (step=0001316) Train Loss: 0.8380, Train Steps/Sec: 0.03, Epoch: 3.8255813953488373, LR: 0.001
[2025-04-19 07:24:40] (step=0001317) Train Loss: 0.5694, Train Steps/Sec: 0.03, Epoch: 3.828488372093023, LR: 0.001
[2025-04-19 07:24:57] (step=0000794) Train Loss: 0.6144, Train Steps/Sec: 0.02, Epoch: 2.308139534883721, LR: 0.001
[2025-04-19 07:25:09] (step=0001318) Train Loss: 0.6184, Train Steps/Sec: 0.03, Epoch: 3.8313953488372094, LR: 0.001
[2025-04-19 07:25:39] (step=0001319) Train Loss: 0.4701, Train Steps/Sec: 0.03, Epoch: 3.8343023255813953, LR: 0.001
[2025-04-19 07:25:46] (step=0000795) Train Loss: 0.6204, Train Steps/Sec: 0.02, Epoch: 2.311046511627907, LR: 0.001
[2025-04-19 07:26:09] (step=0001320) Train Loss: 0.4148, Train Steps/Sec: 0.03, Epoch: 3.8372093023255816, LR: 0.001
[2025-04-19 07:26:34] (step=0000796) Train Loss: 0.7740, Train Steps/Sec: 0.02, Epoch: 2.313953488372093, LR: 0.001
[2025-04-19 07:26:39] (step=0001321) Train Loss: 0.7945, Train Steps/Sec: 0.03, Epoch: 3.8401162790697674, LR: 0.001
[2025-04-19 07:27:08] (step=0001322) Train Loss: 0.5435, Train Steps/Sec: 0.03, Epoch: 3.8430232558139537, LR: 0.001
[2025-04-19 07:27:22] (step=0000797) Train Loss: 0.8547, Train Steps/Sec: 0.02, Epoch: 2.316860465116279, LR: 0.001
[2025-04-19 07:27:38] (step=0001323) Train Loss: 0.6970, Train Steps/Sec: 0.03, Epoch: 3.8459302325581395, LR: 0.001
[2025-04-19 07:28:08] (step=0001324) Train Loss: 0.7639, Train Steps/Sec: 0.03, Epoch: 3.8488372093023258, LR: 0.001
[2025-04-19 07:28:11] (step=0000798) Train Loss: 0.5958, Train Steps/Sec: 0.02, Epoch: 2.3197674418604652, LR: 0.001
[2025-04-19 07:28:37] (step=0001325) Train Loss: 0.4517, Train Steps/Sec: 0.03, Epoch: 3.8517441860465116, LR: 0.001
[2025-04-19 07:28:59] (step=0000799) Train Loss: 0.8730, Train Steps/Sec: 0.02, Epoch: 2.322674418604651, LR: 0.001
[2025-04-19 07:29:07] (step=0001326) Train Loss: 0.6659, Train Steps/Sec: 0.03, Epoch: 3.854651162790698, LR: 0.001
[2025-04-19 07:29:37] (step=0001327) Train Loss: 0.7579, Train Steps/Sec: 0.03, Epoch: 3.8575581395348837, LR: 0.001
[2025-04-19 07:29:47] (step=0000800) Train Loss: 0.3860, Train Steps/Sec: 0.02, Epoch: 2.3255813953488373, LR: 0.001
[2025-04-19 07:30:01] Saved checkpoint to ./results/sfm_based//checkpoints/0000800/
[2025-04-19 07:30:06] (step=0001328) Train Loss: 0.8237, Train Steps/Sec: 0.03, Epoch: 3.86046511627907, LR: 0.001
[2025-04-19 07:30:36] (step=0001329) Train Loss: 0.8263, Train Steps/Sec: 0.03, Epoch: 3.863372093023256, LR: 0.001
[2025-04-19 07:30:49] (step=0000801) Train Loss: 0.7635, Train Steps/Sec: 0.02, Epoch: 2.328488372093023, LR: 0.001
[2025-04-19 07:31:06] (step=0001330) Train Loss: 0.5131, Train Steps/Sec: 0.03, Epoch: 3.866279069767442, LR: 0.001
[2025-04-19 07:31:36] (step=0001331) Train Loss: 0.7092, Train Steps/Sec: 0.03, Epoch: 3.869186046511628, LR: 0.001
[2025-04-19 07:31:37] (step=0000802) Train Loss: 0.8556, Train Steps/Sec: 0.02, Epoch: 2.3313953488372094, LR: 0.001
[2025-04-19 07:32:05] (step=0001332) Train Loss: 0.7635, Train Steps/Sec: 0.03, Epoch: 3.872093023255814, LR: 0.001
[2025-04-19 07:32:25] (step=0000803) Train Loss: 0.4648, Train Steps/Sec: 0.02, Epoch: 2.3343023255813953, LR: 0.001
[2025-04-19 07:32:35] (step=0001333) Train Loss: 0.8188, Train Steps/Sec: 0.03, Epoch: 3.875, LR: 0.001
[2025-04-19 07:33:04] (step=0001334) Train Loss: 0.8003, Train Steps/Sec: 0.03, Epoch: 3.877906976744186, LR: 0.001
[2025-04-19 07:33:14] (step=0000804) Train Loss: 0.8230, Train Steps/Sec: 0.02, Epoch: 2.3372093023255816, LR: 0.001
[2025-04-19 07:33:34] (step=0001335) Train Loss: 0.5765, Train Steps/Sec: 0.03, Epoch: 3.880813953488372, LR: 0.001
[2025-04-19 07:34:02] (step=0000805) Train Loss: 0.4385, Train Steps/Sec: 0.02, Epoch: 2.3401162790697674, LR: 0.001
[2025-04-19 07:34:04] (step=0001336) Train Loss: 0.5471, Train Steps/Sec: 0.03, Epoch: 3.883720930232558, LR: 0.001
[2025-04-19 07:34:33] (step=0001337) Train Loss: 0.5450, Train Steps/Sec: 0.03, Epoch: 3.886627906976744, LR: 0.001
[2025-04-19 07:34:50] (step=0000806) Train Loss: 0.6728, Train Steps/Sec: 0.02, Epoch: 2.3430232558139537, LR: 0.001
[2025-04-19 07:35:03] (step=0001338) Train Loss: 0.4018, Train Steps/Sec: 0.03, Epoch: 3.88953488372093, LR: 0.001
[2025-04-19 07:35:33] (step=0001339) Train Loss: 0.8099, Train Steps/Sec: 0.03, Epoch: 3.8924418604651163, LR: 0.001
[2025-04-19 07:35:39] (step=0000807) Train Loss: 0.2809, Train Steps/Sec: 0.02, Epoch: 2.3459302325581395, LR: 0.001
[2025-04-19 07:36:02] (step=0001340) Train Loss: 1.1705, Train Steps/Sec: 0.03, Epoch: 3.895348837209302, LR: 0.001
[2025-04-19 07:36:27] (step=0000808) Train Loss: 0.5208, Train Steps/Sec: 0.02, Epoch: 2.3488372093023258, LR: 0.001
[2025-04-19 07:36:32] (step=0001341) Train Loss: 1.1320, Train Steps/Sec: 0.03, Epoch: 3.8982558139534884, LR: 0.001
[2025-04-19 07:37:02] (step=0001342) Train Loss: 1.4616, Train Steps/Sec: 0.03, Epoch: 3.9011627906976742, LR: 0.001
[2025-04-19 07:37:15] (step=0000809) Train Loss: 0.4743, Train Steps/Sec: 0.02, Epoch: 2.3517441860465116, LR: 0.001
[2025-04-19 07:37:32] (step=0001343) Train Loss: 0.5148, Train Steps/Sec: 0.03, Epoch: 3.9040697674418605, LR: 0.001
[2025-04-19 07:37:41] (step=0001344) Train Loss: 0.4832, Train Steps/Sec: 0.10, Epoch: 3.9069767441860463, LR: 0.001
[2025-04-19 07:38:03] (step=0000810) Train Loss: 0.4607, Train Steps/Sec: 0.02, Epoch: 2.354651162790698, LR: 0.001
[2025-04-19 07:38:11] (step=0001345) Train Loss: 0.4985, Train Steps/Sec: 0.03, Epoch: 3.9098837209302326, LR: 0.001
[2025-04-19 07:38:41] (step=0001346) Train Loss: 0.8980, Train Steps/Sec: 0.03, Epoch: 3.9127906976744184, LR: 0.001
[2025-04-19 07:38:52] (step=0000811) Train Loss: 0.6798, Train Steps/Sec: 0.02, Epoch: 2.3575581395348837, LR: 0.001
[2025-04-19 07:39:10] (step=0001347) Train Loss: 0.8747, Train Steps/Sec: 0.03, Epoch: 3.9156976744186047, LR: 0.001
[2025-04-19 07:39:40] (step=0000812) Train Loss: 0.3812, Train Steps/Sec: 0.02, Epoch: 2.36046511627907, LR: 0.001
[2025-04-19 07:39:40] (step=0001348) Train Loss: 0.5184, Train Steps/Sec: 0.03, Epoch: 3.9186046511627906, LR: 0.001
[2025-04-19 07:40:09] (step=0001349) Train Loss: 0.9311, Train Steps/Sec: 0.03, Epoch: 3.921511627906977, LR: 0.001
[2025-04-19 07:40:28] (step=0000813) Train Loss: 0.8694, Train Steps/Sec: 0.02, Epoch: 2.363372093023256, LR: 0.001
[2025-04-19 07:40:39] (step=0001350) Train Loss: 0.5210, Train Steps/Sec: 0.03, Epoch: 3.9244186046511627, LR: 0.001
[2025-04-19 07:41:09] (step=0001351) Train Loss: 0.7021, Train Steps/Sec: 0.03, Epoch: 3.927325581395349, LR: 0.001
[2025-04-19 07:41:16] (step=0000814) Train Loss: 0.6956, Train Steps/Sec: 0.02, Epoch: 2.366279069767442, LR: 0.001
[2025-04-19 07:41:39] (step=0001352) Train Loss: 0.9505, Train Steps/Sec: 0.03, Epoch: 3.9302325581395348, LR: 0.001
[2025-04-19 07:42:04] (step=0000815) Train Loss: 0.5198, Train Steps/Sec: 0.02, Epoch: 2.369186046511628, LR: 0.001
[2025-04-19 07:42:08] (step=0001353) Train Loss: 0.6198, Train Steps/Sec: 0.03, Epoch: 3.933139534883721, LR: 0.001
[2025-04-19 07:42:38] (step=0001354) Train Loss: 0.7277, Train Steps/Sec: 0.03, Epoch: 3.936046511627907, LR: 0.001
[2025-04-19 07:42:53] (step=0000816) Train Loss: 0.5444, Train Steps/Sec: 0.02, Epoch: 2.372093023255814, LR: 0.001
[2025-04-19 07:43:07] (step=0001355) Train Loss: 1.6371, Train Steps/Sec: 0.03, Epoch: 3.938953488372093, LR: 0.001
[2025-04-19 07:43:37] (step=0001356) Train Loss: 1.4716, Train Steps/Sec: 0.03, Epoch: 3.941860465116279, LR: 0.001
[2025-04-19 07:43:41] (step=0000817) Train Loss: 0.4860, Train Steps/Sec: 0.02, Epoch: 2.375, LR: 0.001
[2025-04-19 07:44:06] (step=0001357) Train Loss: 0.9151, Train Steps/Sec: 0.03, Epoch: 3.9447674418604652, LR: 0.001
[2025-04-19 07:44:29] (step=0000818) Train Loss: 0.3435, Train Steps/Sec: 0.02, Epoch: 2.377906976744186, LR: 0.001
[2025-04-19 07:44:36] (step=0001358) Train Loss: 1.1432, Train Steps/Sec: 0.03, Epoch: 3.947674418604651, LR: 0.001
[2025-04-19 07:45:06] (step=0001359) Train Loss: 1.4764, Train Steps/Sec: 0.03, Epoch: 3.9505813953488373, LR: 0.001
[2025-04-19 07:45:17] (step=0000819) Train Loss: 0.7296, Train Steps/Sec: 0.02, Epoch: 2.380813953488372, LR: 0.001
[2025-04-19 07:45:35] (step=0001360) Train Loss: 1.6617, Train Steps/Sec: 0.03, Epoch: 3.953488372093023, LR: 0.001
[2025-04-19 07:46:05] (step=0001361) Train Loss: 1.0636, Train Steps/Sec: 0.03, Epoch: 3.9563953488372094, LR: 0.001
[2025-04-19 07:46:06] (step=0000820) Train Loss: 0.7737, Train Steps/Sec: 0.02, Epoch: 2.383720930232558, LR: 0.001
[2025-04-19 07:46:35] (step=0001362) Train Loss: 1.3051, Train Steps/Sec: 0.03, Epoch: 3.9593023255813953, LR: 0.001
[2025-04-19 07:46:54] (step=0000821) Train Loss: 0.6714, Train Steps/Sec: 0.02, Epoch: 2.386627906976744, LR: 0.001
[2025-04-19 07:47:04] (step=0001363) Train Loss: 1.0758, Train Steps/Sec: 0.03, Epoch: 3.9622093023255816, LR: 0.001
[2025-04-19 07:47:34] (step=0001364) Train Loss: 1.1589, Train Steps/Sec: 0.03, Epoch: 3.9651162790697674, LR: 0.001
[2025-04-19 07:47:42] (step=0000822) Train Loss: 0.8009, Train Steps/Sec: 0.02, Epoch: 2.38953488372093, LR: 0.001
[2025-04-19 07:48:04] (step=0001365) Train Loss: 1.7415, Train Steps/Sec: 0.03, Epoch: 3.9680232558139537, LR: 0.001
[2025-04-19 07:48:31] (step=0000823) Train Loss: 0.8153, Train Steps/Sec: 0.02, Epoch: 2.3924418604651163, LR: 0.001
[2025-04-19 07:48:34] (step=0001366) Train Loss: 1.8204, Train Steps/Sec: 0.03, Epoch: 3.9709302325581395, LR: 0.001
[2025-04-19 07:49:03] (step=0001367) Train Loss: 1.9106, Train Steps/Sec: 0.03, Epoch: 3.9738372093023258, LR: 0.001
[2025-04-19 07:49:19] (step=0000824) Train Loss: 0.4162, Train Steps/Sec: 0.02, Epoch: 2.395348837209302, LR: 0.001
[2025-04-19 07:49:32] (step=0001368) Train Loss: 1.6529, Train Steps/Sec: 0.03, Epoch: 3.9767441860465116, LR: 0.001
[2025-04-19 07:50:02] (step=0001369) Train Loss: 1.4912, Train Steps/Sec: 0.03, Epoch: 3.979651162790698, LR: 0.001
[2025-04-19 07:50:07] (step=0000825) Train Loss: 0.6382, Train Steps/Sec: 0.02, Epoch: 2.3982558139534884, LR: 0.001
[2025-04-19 07:50:31] (step=0001370) Train Loss: 1.5779, Train Steps/Sec: 0.03, Epoch: 3.9825581395348837, LR: 0.001
[2025-04-19 07:50:56] (step=0000826) Train Loss: 0.8060, Train Steps/Sec: 0.02, Epoch: 2.4011627906976742, LR: 0.001
[2025-04-19 07:51:01] (step=0001371) Train Loss: 1.4298, Train Steps/Sec: 0.03, Epoch: 3.98546511627907, LR: 0.001
[2025-04-19 07:51:30] (step=0001372) Train Loss: 1.5230, Train Steps/Sec: 0.03, Epoch: 3.988372093023256, LR: 0.001
[2025-04-19 07:51:44] (step=0000827) Train Loss: 0.6228, Train Steps/Sec: 0.02, Epoch: 2.4040697674418605, LR: 0.001
[2025-04-19 07:52:00] (step=0001373) Train Loss: 1.5074, Train Steps/Sec: 0.03, Epoch: 3.991279069767442, LR: 0.001
[2025-04-19 07:52:29] (step=0001374) Train Loss: 1.4983, Train Steps/Sec: 0.03, Epoch: 3.994186046511628, LR: 0.001
[2025-04-19 07:52:32] (step=0000828) Train Loss: 0.7611, Train Steps/Sec: 0.02, Epoch: 2.4069767441860463, LR: 0.001
[2025-04-19 07:52:59] (step=0001375) Train Loss: 1.4885, Train Steps/Sec: 0.03, Epoch: 3.997093023255814, LR: 0.001
[2025-04-19 07:53:20] (step=0000829) Train Loss: 0.5883, Train Steps/Sec: 0.02, Epoch: 2.4098837209302326, LR: 0.001
[2025-04-19 07:53:28] (step=0001376) Train Loss: 1.3923, Train Steps/Sec: 0.03, Epoch: 4.0, LR: 0.001
[2025-04-19 07:53:28] Beginning epoch 4...
[2025-04-19 07:54:07] (step=0001377) Train Loss: 1.5801, Train Steps/Sec: 0.03, Epoch: 4.002906976744186, LR: 0.001
[2025-04-19 07:54:09] (step=0000830) Train Loss: 0.5051, Train Steps/Sec: 0.02, Epoch: 2.4127906976744184, LR: 0.001
[2025-04-19 07:54:36] (step=0001378) Train Loss: 1.5431, Train Steps/Sec: 0.03, Epoch: 4.005813953488372, LR: 0.001
[2025-04-19 07:54:57] (step=0000831) Train Loss: 0.4933, Train Steps/Sec: 0.02, Epoch: 2.4156976744186047, LR: 0.001
[2025-04-19 07:55:06] (step=0001379) Train Loss: 1.4502, Train Steps/Sec: 0.03, Epoch: 4.008720930232558, LR: 0.001
[2025-04-19 07:55:35] (step=0001380) Train Loss: 1.4996, Train Steps/Sec: 0.03, Epoch: 4.011627906976744, LR: 0.001
[2025-04-19 07:55:45] (step=0000832) Train Loss: 0.7899, Train Steps/Sec: 0.02, Epoch: 2.4186046511627906, LR: 0.001
[2025-04-19 07:56:05] (step=0001381) Train Loss: 1.4529, Train Steps/Sec: 0.03, Epoch: 4.0145348837209305, LR: 0.001
[2025-04-19 07:56:34] (step=0000833) Train Loss: 0.4783, Train Steps/Sec: 0.02, Epoch: 2.421511627906977, LR: 0.001
[2025-04-19 07:56:35] (step=0001382) Train Loss: 1.4472, Train Steps/Sec: 0.03, Epoch: 4.017441860465116, LR: 0.001
[2025-04-19 07:57:04] (step=0001383) Train Loss: 1.3941, Train Steps/Sec: 0.03, Epoch: 4.020348837209302, LR: 0.001
[2025-04-19 07:57:22] (step=0000834) Train Loss: 0.6430, Train Steps/Sec: 0.02, Epoch: 2.4244186046511627, LR: 0.001
[2025-04-19 07:57:33] (step=0001384) Train Loss: 1.5201, Train Steps/Sec: 0.03, Epoch: 4.023255813953488, LR: 0.001
[2025-04-19 07:58:03] (step=0001385) Train Loss: 1.5445, Train Steps/Sec: 0.03, Epoch: 4.026162790697675, LR: 0.001
[2025-04-19 07:58:10] (step=0000835) Train Loss: 0.8805, Train Steps/Sec: 0.02, Epoch: 2.427325581395349, LR: 0.001
[2025-04-19 07:58:32] (step=0001386) Train Loss: 1.3657, Train Steps/Sec: 0.03, Epoch: 4.02906976744186, LR: 0.001
[2025-04-19 07:58:58] (step=0000836) Train Loss: 0.6296, Train Steps/Sec: 0.02, Epoch: 2.4302325581395348, LR: 0.001
[2025-04-19 07:59:02] (step=0001387) Train Loss: 1.4290, Train Steps/Sec: 0.03, Epoch: 4.031976744186046, LR: 0.001
[2025-04-19 07:59:31] (step=0001388) Train Loss: 1.5598, Train Steps/Sec: 0.03, Epoch: 4.034883720930233, LR: 0.001
[2025-04-19 07:59:47] (step=0000837) Train Loss: 0.7471, Train Steps/Sec: 0.02, Epoch: 2.433139534883721, LR: 0.001
[2025-04-19 08:00:00] (step=0001389) Train Loss: 1.5237, Train Steps/Sec: 0.03, Epoch: 4.037790697674419, LR: 0.001
[2025-04-19 08:00:30] (step=0001390) Train Loss: 1.4017, Train Steps/Sec: 0.03, Epoch: 4.040697674418604, LR: 0.001
[2025-04-19 08:00:35] (step=0000838) Train Loss: 0.4079, Train Steps/Sec: 0.02, Epoch: 2.436046511627907, LR: 0.001
[2025-04-19 08:00:59] (step=0001391) Train Loss: 1.4222, Train Steps/Sec: 0.03, Epoch: 4.0436046511627906, LR: 0.001
[2025-04-19 08:01:23] (step=0000839) Train Loss: 0.5007, Train Steps/Sec: 0.02, Epoch: 2.438953488372093, LR: 0.001
[2025-04-19 08:01:29] (step=0001392) Train Loss: 1.4086, Train Steps/Sec: 0.03, Epoch: 4.046511627906977, LR: 0.001
[2025-04-19 08:01:58] (step=0001393) Train Loss: 1.3585, Train Steps/Sec: 0.03, Epoch: 4.049418604651163, LR: 0.001
[2025-04-19 08:02:12] (step=0000840) Train Loss: 0.5002, Train Steps/Sec: 0.02, Epoch: 2.441860465116279, LR: 0.001
[2025-04-19 08:02:28] (step=0001394) Train Loss: 1.3445, Train Steps/Sec: 0.03, Epoch: 4.0523255813953485, LR: 0.001
[2025-04-19 08:02:57] (step=0001395) Train Loss: 1.4316, Train Steps/Sec: 0.03, Epoch: 4.055232558139535, LR: 0.001
[2025-04-19 08:03:00] (step=0000841) Train Loss: 0.7743, Train Steps/Sec: 0.02, Epoch: 2.4447674418604652, LR: 0.001
[2025-04-19 08:03:26] (step=0001396) Train Loss: 1.3833, Train Steps/Sec: 0.03, Epoch: 4.058139534883721, LR: 0.001
[2025-04-19 08:03:48] (step=0000842) Train Loss: 0.8374, Train Steps/Sec: 0.02, Epoch: 2.447674418604651, LR: 0.001
[2025-04-19 08:03:56] (step=0001397) Train Loss: 1.4385, Train Steps/Sec: 0.03, Epoch: 4.061046511627907, LR: 0.001
[2025-04-19 08:04:25] (step=0001398) Train Loss: 1.4065, Train Steps/Sec: 0.03, Epoch: 4.063953488372093, LR: 0.001
[2025-04-19 08:04:36] (step=0000843) Train Loss: 0.8328, Train Steps/Sec: 0.02, Epoch: 2.4505813953488373, LR: 0.001
[2025-04-19 08:04:55] (step=0001399) Train Loss: 1.3867, Train Steps/Sec: 0.03, Epoch: 4.066860465116279, LR: 0.001
[2025-04-19 08:05:24] (step=0001400) Train Loss: 1.5060, Train Steps/Sec: 0.03, Epoch: 4.069767441860465, LR: 0.001
[2025-04-19 08:05:24] (step=0000844) Train Loss: 0.6532, Train Steps/Sec: 0.02, Epoch: 2.453488372093023, LR: 0.001
[2025-04-19 08:05:39] Saved checkpoint to ./results/sfm_based//checkpoints/0001400/
[2025-04-19 08:06:08] (step=0001401) Train Loss: 1.4941, Train Steps/Sec: 0.02, Epoch: 4.0726744186046515, LR: 0.001
[2025-04-19 08:06:12] (step=0000845) Train Loss: 0.7711, Train Steps/Sec: 0.02, Epoch: 2.4563953488372094, LR: 0.001
[2025-04-19 08:06:37] (step=0001402) Train Loss: 1.4936, Train Steps/Sec: 0.03, Epoch: 4.075581395348837, LR: 0.001
[2025-04-19 08:07:01] (step=0000846) Train Loss: 0.7249, Train Steps/Sec: 0.02, Epoch: 2.4593023255813953, LR: 0.001
[2025-04-19 08:07:07] (step=0001403) Train Loss: 1.5138, Train Steps/Sec: 0.03, Epoch: 4.078488372093023, LR: 0.001
[2025-04-19 08:07:37] (step=0001404) Train Loss: 1.4374, Train Steps/Sec: 0.03, Epoch: 4.0813953488372094, LR: 0.001
[2025-04-19 08:07:49] (step=0000847) Train Loss: 0.4696, Train Steps/Sec: 0.02, Epoch: 2.4622093023255816, LR: 0.001
[2025-04-19 08:08:07] (step=0001405) Train Loss: 1.5063, Train Steps/Sec: 0.03, Epoch: 4.084302325581396, LR: 0.001
[2025-04-19 08:08:36] (step=0001406) Train Loss: 1.3753, Train Steps/Sec: 0.03, Epoch: 4.087209302325581, LR: 0.001
[2025-04-19 08:08:37] (step=0000848) Train Loss: 0.3733, Train Steps/Sec: 0.02, Epoch: 2.4651162790697674, LR: 0.001
[2025-04-19 08:09:06] (step=0001407) Train Loss: 1.4730, Train Steps/Sec: 0.03, Epoch: 4.090116279069767, LR: 0.001
[2025-04-19 08:09:26] (step=0000849) Train Loss: 0.6282, Train Steps/Sec: 0.02, Epoch: 2.4680232558139537, LR: 0.001
[2025-04-19 08:09:35] (step=0001408) Train Loss: 1.4201, Train Steps/Sec: 0.03, Epoch: 4.093023255813954, LR: 0.001
[2025-04-19 08:10:04] (step=0001409) Train Loss: 1.5283, Train Steps/Sec: 0.03, Epoch: 4.09593023255814, LR: 0.001
[2025-04-19 08:10:14] (step=0000850) Train Loss: 0.6447, Train Steps/Sec: 0.02, Epoch: 2.4709302325581395, LR: 0.001
[2025-04-19 08:10:34] (step=0001410) Train Loss: 1.4788, Train Steps/Sec: 0.03, Epoch: 4.098837209302325, LR: 0.001
[2025-04-19 08:11:02] (step=0000851) Train Loss: 0.4626, Train Steps/Sec: 0.02, Epoch: 2.4738372093023258, LR: 0.001
[2025-04-19 08:11:03] (step=0001411) Train Loss: 1.4819, Train Steps/Sec: 0.03, Epoch: 4.101744186046512, LR: 0.001
[2025-04-19 08:11:33] (step=0001412) Train Loss: 1.1435, Train Steps/Sec: 0.03, Epoch: 4.104651162790698, LR: 0.001
[2025-04-19 08:11:51] (step=0000852) Train Loss: 0.4836, Train Steps/Sec: 0.02, Epoch: 2.4767441860465116, LR: 0.001
[2025-04-19 08:12:02] (step=0001413) Train Loss: 1.5147, Train Steps/Sec: 0.03, Epoch: 4.107558139534884, LR: 0.001
[2025-04-19 08:12:32] (step=0001414) Train Loss: 1.5954, Train Steps/Sec: 0.03, Epoch: 4.1104651162790695, LR: 0.001
[2025-04-19 08:12:39] (step=0000853) Train Loss: 0.6652, Train Steps/Sec: 0.02, Epoch: 2.479651162790698, LR: 0.001
[2025-04-19 08:13:01] (step=0001415) Train Loss: 1.5100, Train Steps/Sec: 0.03, Epoch: 4.113372093023256, LR: 0.001
[2025-04-19 08:13:27] (step=0000854) Train Loss: 0.6628, Train Steps/Sec: 0.02, Epoch: 2.4825581395348837, LR: 0.001
[2025-04-19 08:13:31] (step=0001416) Train Loss: 1.4319, Train Steps/Sec: 0.03, Epoch: 4.116279069767442, LR: 0.001
[2025-04-19 08:14:01] (step=0001417) Train Loss: 1.5668, Train Steps/Sec: 0.03, Epoch: 4.119186046511628, LR: 0.001
[2025-04-19 08:14:15] (step=0000855) Train Loss: 0.7955, Train Steps/Sec: 0.02, Epoch: 2.48546511627907, LR: 0.001
[2025-04-19 08:14:30] (step=0001418) Train Loss: 1.7145, Train Steps/Sec: 0.03, Epoch: 4.122093023255814, LR: 0.001
[2025-04-19 08:15:00] (step=0001419) Train Loss: 1.4921, Train Steps/Sec: 0.03, Epoch: 4.125, LR: 0.001
[2025-04-19 08:15:04] (step=0000856) Train Loss: 0.7207, Train Steps/Sec: 0.02, Epoch: 2.488372093023256, LR: 0.001
[2025-04-19 08:15:29] (step=0001420) Train Loss: 1.4531, Train Steps/Sec: 0.03, Epoch: 4.127906976744186, LR: 0.001
[2025-04-19 08:15:52] (step=0000857) Train Loss: 0.4895, Train Steps/Sec: 0.02, Epoch: 2.491279069767442, LR: 0.001
[2025-04-19 08:15:59] (step=0001421) Train Loss: 1.4567, Train Steps/Sec: 0.03, Epoch: 4.130813953488372, LR: 0.001
[2025-04-19 08:16:28] (step=0001422) Train Loss: 1.5120, Train Steps/Sec: 0.03, Epoch: 4.133720930232558, LR: 0.001
[2025-04-19 08:16:40] (step=0000858) Train Loss: 0.8538, Train Steps/Sec: 0.02, Epoch: 2.494186046511628, LR: 0.001
[2025-04-19 08:16:58] (step=0001423) Train Loss: 1.5734, Train Steps/Sec: 0.03, Epoch: 4.136627906976744, LR: 0.001
[2025-04-19 08:17:27] (step=0001424) Train Loss: 1.4413, Train Steps/Sec: 0.03, Epoch: 4.1395348837209305, LR: 0.001
[2025-04-19 08:17:29] (step=0000859) Train Loss: 0.3793, Train Steps/Sec: 0.02, Epoch: 2.497093023255814, LR: 0.001
[2025-04-19 08:17:57] (step=0001425) Train Loss: 1.3986, Train Steps/Sec: 0.03, Epoch: 4.142441860465116, LR: 0.001
[2025-04-19 08:18:17] (step=0000860) Train Loss: 0.5445, Train Steps/Sec: 0.02, Epoch: 2.5, LR: 0.001
[2025-04-19 08:18:26] (step=0001426) Train Loss: 1.3976, Train Steps/Sec: 0.03, Epoch: 4.145348837209302, LR: 0.001
[2025-04-19 08:18:56] (step=0001427) Train Loss: 1.4274, Train Steps/Sec: 0.03, Epoch: 4.148255813953488, LR: 0.001
[2025-04-19 08:19:05] (step=0000861) Train Loss: 0.5555, Train Steps/Sec: 0.02, Epoch: 2.502906976744186, LR: 0.001
[2025-04-19 08:19:25] (step=0001428) Train Loss: 1.4547, Train Steps/Sec: 0.03, Epoch: 4.151162790697675, LR: 0.001
[2025-04-19 08:19:53] (step=0000862) Train Loss: 0.4331, Train Steps/Sec: 0.02, Epoch: 2.505813953488372, LR: 0.001
[2025-04-19 08:19:55] (step=0001429) Train Loss: 1.4119, Train Steps/Sec: 0.03, Epoch: 4.15406976744186, LR: 0.001
[2025-04-19 08:20:24] (step=0001430) Train Loss: 1.4064, Train Steps/Sec: 0.03, Epoch: 4.156976744186046, LR: 0.001
[2025-04-19 08:20:42] (step=0000863) Train Loss: 0.7067, Train Steps/Sec: 0.02, Epoch: 2.508720930232558, LR: 0.001
[2025-04-19 08:20:54] (step=0001431) Train Loss: 1.4682, Train Steps/Sec: 0.03, Epoch: 4.159883720930233, LR: 0.001
[2025-04-19 08:21:23] (step=0001432) Train Loss: 1.5110, Train Steps/Sec: 0.03, Epoch: 4.162790697674419, LR: 0.001
[2025-04-19 08:21:30] (step=0000864) Train Loss: 0.4790, Train Steps/Sec: 0.02, Epoch: 2.511627906976744, LR: 0.001
[2025-04-19 08:21:53] (step=0001433) Train Loss: 1.5219, Train Steps/Sec: 0.03, Epoch: 4.165697674418604, LR: 0.001
[2025-04-19 08:22:18] (step=0000865) Train Loss: 0.6302, Train Steps/Sec: 0.02, Epoch: 2.51453488372093, LR: 0.001
[2025-04-19 08:22:22] (step=0001434) Train Loss: 1.4253, Train Steps/Sec: 0.03, Epoch: 4.1686046511627906, LR: 0.001
[2025-04-19 08:22:52] (step=0001435) Train Loss: 1.5184, Train Steps/Sec: 0.03, Epoch: 4.171511627906977, LR: 0.001
[2025-04-19 08:23:07] (step=0000866) Train Loss: 0.3982, Train Steps/Sec: 0.02, Epoch: 2.5174418604651163, LR: 0.001
[2025-04-19 08:23:22] (step=0001436) Train Loss: 1.4668, Train Steps/Sec: 0.03, Epoch: 4.174418604651163, LR: 0.001
[2025-04-19 08:23:51] (step=0001437) Train Loss: 1.4609, Train Steps/Sec: 0.03, Epoch: 4.1773255813953485, LR: 0.001
[2025-04-19 08:23:55] (step=0000867) Train Loss: 0.7711, Train Steps/Sec: 0.02, Epoch: 2.520348837209302, LR: 0.001
[2025-04-19 08:24:21] (step=0001438) Train Loss: 1.3588, Train Steps/Sec: 0.03, Epoch: 4.180232558139535, LR: 0.001
[2025-04-19 08:24:43] (step=0000868) Train Loss: 0.5491, Train Steps/Sec: 0.02, Epoch: 2.5232558139534884, LR: 0.001
[2025-04-19 08:24:50] (step=0001439) Train Loss: 1.4382, Train Steps/Sec: 0.03, Epoch: 4.183139534883721, LR: 0.001
[2025-04-19 08:25:20] (step=0001440) Train Loss: 1.4579, Train Steps/Sec: 0.03, Epoch: 4.186046511627907, LR: 0.001
[2025-04-19 08:25:32] (step=0000869) Train Loss: 0.8600, Train Steps/Sec: 0.02, Epoch: 2.5261627906976742, LR: 0.001
[2025-04-19 08:25:50] (step=0001441) Train Loss: 1.5177, Train Steps/Sec: 0.03, Epoch: 4.188953488372093, LR: 0.001
[2025-04-19 08:26:19] (step=0001442) Train Loss: 1.4402, Train Steps/Sec: 0.03, Epoch: 4.191860465116279, LR: 0.001
[2025-04-19 08:26:20] (step=0000870) Train Loss: 0.5439, Train Steps/Sec: 0.02, Epoch: 2.5290697674418605, LR: 0.001
[2025-04-19 08:26:49] (step=0001443) Train Loss: 1.5115, Train Steps/Sec: 0.03, Epoch: 4.194767441860465, LR: 0.001
[2025-04-19 08:27:09] (step=0000871) Train Loss: 0.7467, Train Steps/Sec: 0.02, Epoch: 2.5319767441860463, LR: 0.001
[2025-04-19 08:27:18] (step=0001444) Train Loss: 1.4998, Train Steps/Sec: 0.03, Epoch: 4.1976744186046515, LR: 0.001
[2025-04-19 08:27:47] (step=0001445) Train Loss: 1.4132, Train Steps/Sec: 0.03, Epoch: 4.200581395348837, LR: 0.001
[2025-04-19 08:27:57] (step=0000872) Train Loss: 0.7188, Train Steps/Sec: 0.02, Epoch: 2.5348837209302326, LR: 0.001
[2025-04-19 08:28:17] (step=0001446) Train Loss: 1.4196, Train Steps/Sec: 0.03, Epoch: 4.203488372093023, LR: 0.001
[2025-04-19 08:28:45] (step=0000873) Train Loss: 0.3861, Train Steps/Sec: 0.02, Epoch: 2.5377906976744184, LR: 0.001
[2025-04-19 08:28:47] (step=0001447) Train Loss: 1.4977, Train Steps/Sec: 0.03, Epoch: 4.2063953488372094, LR: 0.001
[2025-04-19 08:29:16] (step=0001448) Train Loss: 1.4009, Train Steps/Sec: 0.03, Epoch: 4.209302325581396, LR: 0.001
[2025-04-19 08:29:34] (step=0000874) Train Loss: 0.3904, Train Steps/Sec: 0.02, Epoch: 2.5406976744186047, LR: 0.001
[2025-04-19 08:29:46] (step=0001449) Train Loss: 1.3963, Train Steps/Sec: 0.03, Epoch: 4.212209302325581, LR: 0.001
[2025-04-19 08:30:15] (step=0001450) Train Loss: 1.4658, Train Steps/Sec: 0.03, Epoch: 4.215116279069767, LR: 0.001
[2025-04-19 08:30:22] (step=0000875) Train Loss: 0.6169, Train Steps/Sec: 0.02, Epoch: 2.5436046511627906, LR: 0.001
[2025-04-19 08:30:45] (step=0001451) Train Loss: 1.4446, Train Steps/Sec: 0.03, Epoch: 4.218023255813954, LR: 0.001
[2025-04-19 08:31:10] (step=0000876) Train Loss: 0.8651, Train Steps/Sec: 0.02, Epoch: 2.546511627906977, LR: 0.001
[2025-04-19 08:31:15] (step=0001452) Train Loss: 1.5203, Train Steps/Sec: 0.03, Epoch: 4.22093023255814, LR: 0.001
[2025-04-19 08:31:44] (step=0001453) Train Loss: 1.3933, Train Steps/Sec: 0.03, Epoch: 4.223837209302325, LR: 0.001
[2025-04-19 08:31:59] (step=0000877) Train Loss: 0.4401, Train Steps/Sec: 0.02, Epoch: 2.5494186046511627, LR: 0.001
[2025-04-19 08:32:14] (step=0001454) Train Loss: 1.5094, Train Steps/Sec: 0.03, Epoch: 4.226744186046512, LR: 0.001
[2025-04-19 08:32:43] (step=0001455) Train Loss: 1.4476, Train Steps/Sec: 0.03, Epoch: 4.229651162790698, LR: 0.001
[2025-04-19 08:32:47] (step=0000878) Train Loss: 0.3909, Train Steps/Sec: 0.02, Epoch: 2.552325581395349, LR: 0.001
[2025-04-19 08:33:13] (step=0001456) Train Loss: 1.4953, Train Steps/Sec: 0.03, Epoch: 4.232558139534884, LR: 0.001
[2025-04-19 08:33:35] (step=0000879) Train Loss: 0.4427, Train Steps/Sec: 0.02, Epoch: 2.5552325581395348, LR: 0.001
[2025-04-19 08:33:42] (step=0001457) Train Loss: 1.4419, Train Steps/Sec: 0.03, Epoch: 4.2354651162790695, LR: 0.001
[2025-04-19 08:34:12] (step=0001458) Train Loss: 1.4665, Train Steps/Sec: 0.03, Epoch: 4.238372093023256, LR: 0.001
[2025-04-19 08:34:24] (step=0000880) Train Loss: 0.6827, Train Steps/Sec: 0.02, Epoch: 2.558139534883721, LR: 0.001
[2025-04-19 08:34:41] (step=0001459) Train Loss: 1.4297, Train Steps/Sec: 0.03, Epoch: 4.241279069767442, LR: 0.001
[2025-04-19 08:35:11] (step=0001460) Train Loss: 1.4167, Train Steps/Sec: 0.03, Epoch: 4.244186046511628, LR: 0.001
[2025-04-19 08:35:12] (step=0000881) Train Loss: 0.7456, Train Steps/Sec: 0.02, Epoch: 2.561046511627907, LR: 0.001
[2025-04-19 08:35:40] (step=0001461) Train Loss: 1.4202, Train Steps/Sec: 0.03, Epoch: 4.247093023255814, LR: 0.001
[2025-04-19 08:36:00] (step=0000882) Train Loss: 0.8478, Train Steps/Sec: 0.02, Epoch: 2.563953488372093, LR: 0.001
[2025-04-19 08:36:10] (step=0001462) Train Loss: 1.4145, Train Steps/Sec: 0.03, Epoch: 4.25, LR: 0.001
[2025-04-19 08:36:39] (step=0001463) Train Loss: 1.4333, Train Steps/Sec: 0.03, Epoch: 4.252906976744186, LR: 0.001
[2025-04-19 08:36:49] (step=0000883) Train Loss: 0.3755, Train Steps/Sec: 0.02, Epoch: 2.566860465116279, LR: 0.001
[2025-04-19 08:37:09] (step=0001464) Train Loss: 1.3893, Train Steps/Sec: 0.03, Epoch: 4.255813953488372, LR: 0.001
[2025-04-19 08:37:37] (step=0000884) Train Loss: 0.6928, Train Steps/Sec: 0.02, Epoch: 2.5697674418604652, LR: 0.001
[2025-04-19 08:37:38] (step=0001465) Train Loss: 1.4419, Train Steps/Sec: 0.03, Epoch: 4.258720930232558, LR: 0.001
[2025-04-19 08:38:08] (step=0001466) Train Loss: 1.3888, Train Steps/Sec: 0.03, Epoch: 4.261627906976744, LR: 0.001
[2025-04-19 08:38:25] (step=0000885) Train Loss: 0.7602, Train Steps/Sec: 0.02, Epoch: 2.572674418604651, LR: 0.001
[2025-04-19 08:38:37] (step=0001467) Train Loss: 1.5100, Train Steps/Sec: 0.03, Epoch: 4.2645348837209305, LR: 0.001
[2025-04-19 08:39:07] (step=0001468) Train Loss: 1.4832, Train Steps/Sec: 0.03, Epoch: 4.267441860465116, LR: 0.001
[2025-04-19 08:39:14] (step=0000886) Train Loss: 0.4654, Train Steps/Sec: 0.02, Epoch: 2.5755813953488373, LR: 0.001
[2025-04-19 08:39:37] (step=0001469) Train Loss: 1.4464, Train Steps/Sec: 0.03, Epoch: 4.270348837209302, LR: 0.001
[2025-04-19 08:40:02] (step=0000887) Train Loss: 0.6797, Train Steps/Sec: 0.02, Epoch: 2.578488372093023, LR: 0.001
[2025-04-19 08:40:06] (step=0001470) Train Loss: 1.3562, Train Steps/Sec: 0.03, Epoch: 4.273255813953488, LR: 0.001
[2025-04-19 08:40:16] (step=0001471) Train Loss: 1.3681, Train Steps/Sec: 0.10, Epoch: 4.276162790697675, LR: 0.001
[2025-04-19 08:40:45] (step=0001472) Train Loss: 1.4757, Train Steps/Sec: 0.03, Epoch: 4.27906976744186, LR: 0.001
[2025-04-19 08:40:50] (step=0000888) Train Loss: 0.8672, Train Steps/Sec: 0.02, Epoch: 2.5813953488372094, LR: 0.001
[2025-04-19 08:41:15] (step=0001473) Train Loss: 1.4495, Train Steps/Sec: 0.03, Epoch: 4.281976744186046, LR: 0.001
[2025-04-19 08:41:38] (step=0000889) Train Loss: 0.5575, Train Steps/Sec: 0.02, Epoch: 2.5843023255813953, LR: 0.001
[2025-04-19 08:41:44] (step=0001474) Train Loss: 1.4271, Train Steps/Sec: 0.03, Epoch: 4.284883720930233, LR: 0.001
[2025-04-19 08:42:14] (step=0001475) Train Loss: 1.3900, Train Steps/Sec: 0.03, Epoch: 4.287790697674419, LR: 0.001
[2025-04-19 08:42:27] (step=0000890) Train Loss: 0.7265, Train Steps/Sec: 0.02, Epoch: 2.5872093023255816, LR: 0.001
[2025-04-19 08:42:43] (step=0001476) Train Loss: 1.5002, Train Steps/Sec: 0.03, Epoch: 4.290697674418604, LR: 0.001
[2025-04-19 08:43:13] (step=0001477) Train Loss: 1.4566, Train Steps/Sec: 0.03, Epoch: 4.2936046511627906, LR: 0.001
[2025-04-19 08:43:15] (step=0000891) Train Loss: 0.8164, Train Steps/Sec: 0.02, Epoch: 2.5901162790697674, LR: 0.001
[2025-04-19 08:43:42] (step=0001478) Train Loss: 1.4081, Train Steps/Sec: 0.03, Epoch: 4.296511627906977, LR: 0.001
[2025-04-19 08:44:03] (step=0000892) Train Loss: 0.5894, Train Steps/Sec: 0.02, Epoch: 2.5930232558139537, LR: 0.001
[2025-04-19 08:44:12] (step=0001479) Train Loss: 1.3895, Train Steps/Sec: 0.03, Epoch: 4.299418604651163, LR: 0.001
[2025-04-19 08:44:21] (step=0001480) Train Loss: 1.4947, Train Steps/Sec: 0.11, Epoch: 4.3023255813953485, LR: 0.001
[2025-04-19 08:44:51] (step=0001481) Train Loss: 1.3680, Train Steps/Sec: 0.03, Epoch: 4.305232558139535, LR: 0.001
[2025-04-19 08:44:52] (step=0000893) Train Loss: 0.5373, Train Steps/Sec: 0.02, Epoch: 2.5959302325581395, LR: 0.001
[2025-04-19 08:45:20] (step=0001482) Train Loss: 1.3470, Train Steps/Sec: 0.03, Epoch: 4.308139534883721, LR: 0.001
[2025-04-19 08:45:40] (step=0000894) Train Loss: 0.6255, Train Steps/Sec: 0.02, Epoch: 2.5988372093023258, LR: 0.001
[2025-04-19 08:45:50] (step=0001483) Train Loss: 1.4190, Train Steps/Sec: 0.03, Epoch: 4.311046511627907, LR: 0.001
[2025-04-19 08:46:19] (step=0001484) Train Loss: 1.4234, Train Steps/Sec: 0.03, Epoch: 4.313953488372093, LR: 0.001
[2025-04-19 08:46:28] (step=0000895) Train Loss: 0.6085, Train Steps/Sec: 0.02, Epoch: 2.6017441860465116, LR: 0.001
[2025-04-19 08:46:48] (step=0001485) Train Loss: 1.3898, Train Steps/Sec: 0.03, Epoch: 4.316860465116279, LR: 0.001
[2025-04-19 08:47:16] (step=0000896) Train Loss: 0.4260, Train Steps/Sec: 0.02, Epoch: 2.604651162790698, LR: 0.001
[2025-04-19 08:47:18] (step=0001486) Train Loss: 1.4641, Train Steps/Sec: 0.03, Epoch: 4.319767441860465, LR: 0.001
[2025-04-19 08:47:48] (step=0001487) Train Loss: 1.4886, Train Steps/Sec: 0.03, Epoch: 4.3226744186046515, LR: 0.001
[2025-04-19 08:48:04] (step=0000897) Train Loss: 0.7687, Train Steps/Sec: 0.02, Epoch: 2.6075581395348837, LR: 0.001
[2025-04-19 08:48:17] (step=0001488) Train Loss: 1.4794, Train Steps/Sec: 0.03, Epoch: 4.325581395348837, LR: 0.001
[2025-04-19 08:48:47] (step=0001489) Train Loss: 1.4117, Train Steps/Sec: 0.03, Epoch: 4.328488372093023, LR: 0.001
[2025-04-19 08:48:53] (step=0000898) Train Loss: 0.8571, Train Steps/Sec: 0.02, Epoch: 2.61046511627907, LR: 0.001
[2025-04-19 08:49:16] (step=0001490) Train Loss: 1.4240, Train Steps/Sec: 0.03, Epoch: 4.3313953488372094, LR: 0.001
[2025-04-19 08:49:41] (step=0000899) Train Loss: 0.4060, Train Steps/Sec: 0.02, Epoch: 2.613372093023256, LR: 0.001
[2025-04-19 08:49:45] (step=0001491) Train Loss: 1.3679, Train Steps/Sec: 0.03, Epoch: 4.334302325581396, LR: 0.001
[2025-04-19 08:50:15] (step=0001492) Train Loss: 1.3516, Train Steps/Sec: 0.03, Epoch: 4.337209302325581, LR: 0.001
[2025-04-19 08:50:29] (step=0000900) Train Loss: 0.5456, Train Steps/Sec: 0.02, Epoch: 2.616279069767442, LR: 0.001
[2025-04-19 08:50:44] (step=0001493) Train Loss: 1.4989, Train Steps/Sec: 0.03, Epoch: 4.340116279069767, LR: 0.001
[2025-04-19 08:51:14] (step=0001494) Train Loss: 1.4435, Train Steps/Sec: 0.03, Epoch: 4.343023255813954, LR: 0.001
[2025-04-19 08:51:18] (step=0000901) Train Loss: 0.4543, Train Steps/Sec: 0.02, Epoch: 2.619186046511628, LR: 0.001
[2025-04-19 08:51:44] (step=0001495) Train Loss: 1.4258, Train Steps/Sec: 0.03, Epoch: 4.34593023255814, LR: 0.001
[2025-04-19 08:52:06] (step=0000902) Train Loss: 0.4566, Train Steps/Sec: 0.02, Epoch: 2.622093023255814, LR: 0.001
[2025-04-19 08:52:13] (step=0001496) Train Loss: 1.4246, Train Steps/Sec: 0.03, Epoch: 4.348837209302325, LR: 0.001
[2025-04-19 08:52:43] (step=0001497) Train Loss: 1.3835, Train Steps/Sec: 0.03, Epoch: 4.351744186046512, LR: 0.001
[2025-04-19 08:52:54] (step=0000903) Train Loss: 0.7534, Train Steps/Sec: 0.02, Epoch: 2.625, LR: 0.001
[2025-04-19 08:53:12] (step=0001498) Train Loss: 1.4066, Train Steps/Sec: 0.03, Epoch: 4.354651162790698, LR: 0.001
[2025-04-19 08:53:42] (step=0001499) Train Loss: 1.4248, Train Steps/Sec: 0.03, Epoch: 4.357558139534884, LR: 0.001
[2025-04-19 08:53:42] (step=0000904) Train Loss: 0.8609, Train Steps/Sec: 0.02, Epoch: 2.627906976744186, LR: 0.001
[2025-04-19 08:54:11] (step=0001500) Train Loss: 1.4544, Train Steps/Sec: 0.03, Epoch: 4.3604651162790695, LR: 0.001
[2025-04-19 08:54:31] (step=0000905) Train Loss: 0.7977, Train Steps/Sec: 0.02, Epoch: 2.630813953488372, LR: 0.001
[2025-04-19 08:54:41] (step=0001501) Train Loss: 1.4221, Train Steps/Sec: 0.03, Epoch: 4.363372093023256, LR: 0.001
[2025-04-19 08:55:11] (step=0001502) Train Loss: 1.4053, Train Steps/Sec: 0.03, Epoch: 4.366279069767442, LR: 0.001
[2025-04-19 08:55:19] (step=0000906) Train Loss: 0.2661, Train Steps/Sec: 0.02, Epoch: 2.633720930232558, LR: 0.001
[2025-04-19 08:55:41] (step=0001503) Train Loss: 1.4043, Train Steps/Sec: 0.03, Epoch: 4.369186046511628, LR: 0.001
[2025-04-19 08:56:07] (step=0000907) Train Loss: 0.6550, Train Steps/Sec: 0.02, Epoch: 2.636627906976744, LR: 0.001
[2025-04-19 08:56:10] (step=0001504) Train Loss: 1.4776, Train Steps/Sec: 0.03, Epoch: 4.372093023255814, LR: 0.001
[2025-04-19 08:56:40] (step=0001505) Train Loss: 1.3763, Train Steps/Sec: 0.03, Epoch: 4.375, LR: 0.001
[2025-04-19 08:56:56] (step=0000908) Train Loss: 0.7383, Train Steps/Sec: 0.02, Epoch: 2.63953488372093, LR: 0.001
[2025-04-19 08:57:09] (step=0001506) Train Loss: 1.3667, Train Steps/Sec: 0.03, Epoch: 4.377906976744186, LR: 0.001
[2025-04-19 08:57:39] (step=0001507) Train Loss: 1.4358, Train Steps/Sec: 0.03, Epoch: 4.380813953488372, LR: 0.001
[2025-04-19 08:57:44] (step=0000909) Train Loss: 0.8634, Train Steps/Sec: 0.02, Epoch: 2.6424418604651163, LR: 0.001
[2025-04-19 08:58:08] (step=0001508) Train Loss: 1.4238, Train Steps/Sec: 0.03, Epoch: 4.383720930232558, LR: 0.001
[2025-04-19 08:58:33] (step=0000910) Train Loss: 0.8151, Train Steps/Sec: 0.02, Epoch: 2.645348837209302, LR: 0.001
[2025-04-19 08:58:38] (step=0001509) Train Loss: 1.4041, Train Steps/Sec: 0.03, Epoch: 4.386627906976744, LR: 0.001
[2025-04-19 08:59:07] (step=0001510) Train Loss: 1.4228, Train Steps/Sec: 0.03, Epoch: 4.3895348837209305, LR: 0.001
[2025-04-19 08:59:21] (step=0000911) Train Loss: 0.7665, Train Steps/Sec: 0.02, Epoch: 2.6482558139534884, LR: 0.001
[2025-04-19 08:59:37] (step=0001511) Train Loss: 1.4123, Train Steps/Sec: 0.03, Epoch: 4.392441860465116, LR: 0.001
[2025-04-19 09:00:06] (step=0001512) Train Loss: 1.4204, Train Steps/Sec: 0.03, Epoch: 4.395348837209302, LR: 0.001
[2025-04-19 09:00:09] (step=0000912) Train Loss: 0.3863, Train Steps/Sec: 0.02, Epoch: 2.6511627906976742, LR: 0.001
[2025-04-19 09:00:36] (step=0001513) Train Loss: 1.4041, Train Steps/Sec: 0.03, Epoch: 4.398255813953488, LR: 0.001
[2025-04-19 09:00:57] (step=0000913) Train Loss: 0.7587, Train Steps/Sec: 0.02, Epoch: 2.6540697674418605, LR: 0.001
[2025-04-19 09:01:05] (step=0001514) Train Loss: 1.4549, Train Steps/Sec: 0.03, Epoch: 4.401162790697675, LR: 0.001
[2025-04-19 09:01:34] (step=0001515) Train Loss: 1.3828, Train Steps/Sec: 0.03, Epoch: 4.40406976744186, LR: 0.001
[2025-04-19 09:01:46] (step=0000914) Train Loss: 0.5938, Train Steps/Sec: 0.02, Epoch: 2.6569767441860463, LR: 0.001
[2025-04-19 09:02:04] (step=0001516) Train Loss: 1.4248, Train Steps/Sec: 0.03, Epoch: 4.406976744186046, LR: 0.001
[2025-04-19 09:02:34] (step=0001517) Train Loss: 1.4395, Train Steps/Sec: 0.03, Epoch: 4.409883720930233, LR: 0.001
[2025-04-19 09:02:34] (step=0000915) Train Loss: 0.6691, Train Steps/Sec: 0.02, Epoch: 2.6598837209302326, LR: 0.001
[2025-04-19 09:03:03] (step=0001518) Train Loss: 1.3777, Train Steps/Sec: 0.03, Epoch: 4.412790697674419, LR: 0.001
[2025-04-19 09:03:22] (step=0000916) Train Loss: 0.8479, Train Steps/Sec: 0.02, Epoch: 2.6627906976744184, LR: 0.001
[2025-04-19 09:03:33] (step=0001519) Train Loss: 1.3905, Train Steps/Sec: 0.03, Epoch: 4.415697674418604, LR: 0.001
[2025-04-19 09:04:02] (step=0001520) Train Loss: 1.4083, Train Steps/Sec: 0.03, Epoch: 4.4186046511627906, LR: 0.001
[2025-04-19 09:04:10] (step=0000917) Train Loss: 0.4457, Train Steps/Sec: 0.02, Epoch: 2.6656976744186047, LR: 0.001
[2025-04-19 09:04:32] (step=0001521) Train Loss: 1.4239, Train Steps/Sec: 0.03, Epoch: 4.421511627906977, LR: 0.001
[2025-04-19 09:04:59] (step=0000918) Train Loss: 0.5874, Train Steps/Sec: 0.02, Epoch: 2.6686046511627906, LR: 0.001
[2025-04-19 09:05:02] (step=0001522) Train Loss: 1.4231, Train Steps/Sec: 0.03, Epoch: 4.424418604651163, LR: 0.001
[2025-04-19 09:05:31] (step=0001523) Train Loss: 1.3844, Train Steps/Sec: 0.03, Epoch: 4.4273255813953485, LR: 0.001
[2025-04-19 09:05:47] (step=0000919) Train Loss: 0.7857, Train Steps/Sec: 0.02, Epoch: 2.671511627906977, LR: 0.001
[2025-04-19 09:06:01] (step=0001524) Train Loss: 1.4007, Train Steps/Sec: 0.03, Epoch: 4.430232558139535, LR: 0.001
[2025-04-19 09:06:31] (step=0001525) Train Loss: 1.3857, Train Steps/Sec: 0.03, Epoch: 4.433139534883721, LR: 0.001
[2025-04-19 09:06:35] (step=0000920) Train Loss: 0.7316, Train Steps/Sec: 0.02, Epoch: 2.6744186046511627, LR: 0.001
[2025-04-19 09:07:00] (step=0001526) Train Loss: 1.4318, Train Steps/Sec: 0.03, Epoch: 4.436046511627907, LR: 0.001
[2025-04-19 09:07:24] (step=0000921) Train Loss: 0.7352, Train Steps/Sec: 0.02, Epoch: 2.677325581395349, LR: 0.001
[2025-04-19 09:07:30] (step=0001527) Train Loss: 1.4241, Train Steps/Sec: 0.03, Epoch: 4.438953488372093, LR: 0.001
[2025-04-19 09:07:59] (step=0001528) Train Loss: 1.3806, Train Steps/Sec: 0.03, Epoch: 4.441860465116279, LR: 0.001
[2025-04-19 09:08:12] (step=0000922) Train Loss: 0.8436, Train Steps/Sec: 0.02, Epoch: 2.6802325581395348, LR: 0.001
[2025-04-19 09:08:28] (step=0001529) Train Loss: 1.3943, Train Steps/Sec: 0.03, Epoch: 4.444767441860465, LR: 0.001
[2025-04-19 09:08:58] (step=0001530) Train Loss: 1.4650, Train Steps/Sec: 0.03, Epoch: 4.4476744186046515, LR: 0.001
[2025-04-19 09:09:00] (step=0000923) Train Loss: 0.6504, Train Steps/Sec: 0.02, Epoch: 2.683139534883721, LR: 0.001
[2025-04-19 09:09:27] (step=0001531) Train Loss: 1.4846, Train Steps/Sec: 0.03, Epoch: 4.450581395348837, LR: 0.001
[2025-04-19 09:09:48] (step=0000924) Train Loss: 0.8007, Train Steps/Sec: 0.02, Epoch: 2.686046511627907, LR: 0.001
[2025-04-19 09:09:57] (step=0001532) Train Loss: 1.3957, Train Steps/Sec: 0.03, Epoch: 4.453488372093023, LR: 0.001
[2025-04-19 09:10:26] (step=0001533) Train Loss: 1.3921, Train Steps/Sec: 0.03, Epoch: 4.4563953488372094, LR: 0.001
[2025-04-19 09:10:36] (step=0000925) Train Loss: 0.6263, Train Steps/Sec: 0.02, Epoch: 2.688953488372093, LR: 0.001
[2025-04-19 09:10:56] (step=0001534) Train Loss: 1.3951, Train Steps/Sec: 0.03, Epoch: 4.459302325581396, LR: 0.001
[2025-04-19 09:11:24] (step=0000926) Train Loss: 0.7313, Train Steps/Sec: 0.02, Epoch: 2.691860465116279, LR: 0.001
[2025-04-19 09:11:25] (step=0001535) Train Loss: 1.3594, Train Steps/Sec: 0.03, Epoch: 4.462209302325581, LR: 0.001
[2025-04-19 09:11:55] (step=0001536) Train Loss: 1.4095, Train Steps/Sec: 0.03, Epoch: 4.465116279069767, LR: 0.001
[2025-04-19 09:12:13] (step=0000927) Train Loss: 0.4548, Train Steps/Sec: 0.02, Epoch: 2.6947674418604652, LR: 0.001
[2025-04-19 09:12:24] (step=0001537) Train Loss: 1.4412, Train Steps/Sec: 0.03, Epoch: 4.468023255813954, LR: 0.001
[2025-04-19 09:12:54] (step=0001538) Train Loss: 1.4109, Train Steps/Sec: 0.03, Epoch: 4.47093023255814, LR: 0.001
[2025-04-19 09:13:01] (step=0000928) Train Loss: 0.5891, Train Steps/Sec: 0.02, Epoch: 2.697674418604651, LR: 0.001
[2025-04-19 09:13:23] (step=0001539) Train Loss: 1.4066, Train Steps/Sec: 0.03, Epoch: 4.473837209302325, LR: 0.001
[2025-04-19 09:13:49] (step=0000929) Train Loss: 0.8077, Train Steps/Sec: 0.02, Epoch: 2.7005813953488373, LR: 0.001
[2025-04-19 09:13:53] (step=0001540) Train Loss: 1.3793, Train Steps/Sec: 0.03, Epoch: 4.476744186046512, LR: 0.001
[2025-04-19 09:14:22] (step=0001541) Train Loss: 1.4579, Train Steps/Sec: 0.03, Epoch: 4.479651162790698, LR: 0.001
[2025-04-19 09:14:38] (step=0000930) Train Loss: 0.7446, Train Steps/Sec: 0.02, Epoch: 2.703488372093023, LR: 0.001
[2025-04-19 09:14:52] (step=0001542) Train Loss: 1.3530, Train Steps/Sec: 0.03, Epoch: 4.482558139534884, LR: 0.001
[2025-04-19 09:15:21] (step=0001543) Train Loss: 1.4578, Train Steps/Sec: 0.03, Epoch: 4.4854651162790695, LR: 0.001
[2025-04-19 09:15:26] (step=0000931) Train Loss: 0.8116, Train Steps/Sec: 0.02, Epoch: 2.7063953488372094, LR: 0.001
[2025-04-19 09:15:51] (step=0001544) Train Loss: 1.3809, Train Steps/Sec: 0.03, Epoch: 4.488372093023256, LR: 0.001
[2025-04-19 09:16:14] (step=0000932) Train Loss: 0.7207, Train Steps/Sec: 0.02, Epoch: 2.7093023255813953, LR: 0.001
[2025-04-19 09:16:20] (step=0001545) Train Loss: 1.4473, Train Steps/Sec: 0.03, Epoch: 4.491279069767442, LR: 0.001
[2025-04-19 09:16:50] (step=0001546) Train Loss: 1.3659, Train Steps/Sec: 0.03, Epoch: 4.494186046511628, LR: 0.001
[2025-04-19 09:17:02] (step=0000933) Train Loss: 0.8165, Train Steps/Sec: 0.02, Epoch: 2.7122093023255816, LR: 0.001
[2025-04-19 09:17:19] (step=0001547) Train Loss: 1.3886, Train Steps/Sec: 0.03, Epoch: 4.497093023255814, LR: 0.001
[2025-04-19 09:17:49] (step=0001548) Train Loss: 1.3383, Train Steps/Sec: 0.03, Epoch: 4.5, LR: 0.001
[2025-04-19 09:17:50] (step=0000934) Train Loss: 0.7977, Train Steps/Sec: 0.02, Epoch: 2.7151162790697674, LR: 0.001
[2025-04-19 09:18:18] (step=0001549) Train Loss: 1.3797, Train Steps/Sec: 0.03, Epoch: 4.502906976744186, LR: 0.001
[2025-04-19 09:18:39] (step=0000935) Train Loss: 0.6960, Train Steps/Sec: 0.02, Epoch: 2.7180232558139537, LR: 0.001
[2025-04-19 09:18:48] (step=0001550) Train Loss: 1.4224, Train Steps/Sec: 0.03, Epoch: 4.505813953488372, LR: 0.001
[2025-04-19 09:19:18] (step=0001551) Train Loss: 1.3448, Train Steps/Sec: 0.03, Epoch: 4.508720930232558, LR: 0.001
[2025-04-19 09:19:27] (step=0000936) Train Loss: 0.5664, Train Steps/Sec: 0.02, Epoch: 2.7209302325581395, LR: 0.001
[2025-04-19 09:19:47] (step=0001552) Train Loss: 1.3822, Train Steps/Sec: 0.03, Epoch: 4.511627906976744, LR: 0.001
[2025-04-19 09:20:15] (step=0000937) Train Loss: 0.7635, Train Steps/Sec: 0.02, Epoch: 2.7238372093023258, LR: 0.001
[2025-04-19 09:20:17] (step=0001553) Train Loss: 1.4398, Train Steps/Sec: 0.03, Epoch: 4.5145348837209305, LR: 0.001
[2025-04-19 09:20:46] (step=0001554) Train Loss: 1.4090, Train Steps/Sec: 0.03, Epoch: 4.517441860465116, LR: 0.001
[2025-04-19 09:21:04] (step=0000938) Train Loss: 0.3667, Train Steps/Sec: 0.02, Epoch: 2.7267441860465116, LR: 0.001
[2025-04-19 09:21:16] (step=0001555) Train Loss: 1.4028, Train Steps/Sec: 0.03, Epoch: 4.520348837209302, LR: 0.001
[2025-04-19 09:21:45] (step=0001556) Train Loss: 1.3993, Train Steps/Sec: 0.03, Epoch: 4.523255813953488, LR: 0.001
[2025-04-19 09:21:52] (step=0000939) Train Loss: 0.5571, Train Steps/Sec: 0.02, Epoch: 2.729651162790698, LR: 0.001
[2025-04-19 09:22:15] (step=0001557) Train Loss: 1.4524, Train Steps/Sec: 0.03, Epoch: 4.526162790697675, LR: 0.001
[2025-04-19 09:22:40] (step=0000940) Train Loss: 0.8397, Train Steps/Sec: 0.02, Epoch: 2.7325581395348837, LR: 0.001
[2025-04-19 09:22:45] (step=0001558) Train Loss: 1.3575, Train Steps/Sec: 0.03, Epoch: 4.52906976744186, LR: 0.001
[2025-04-19 09:23:14] (step=0001559) Train Loss: 1.4368, Train Steps/Sec: 0.03, Epoch: 4.531976744186046, LR: 0.001
[2025-04-19 09:23:28] (step=0000941) Train Loss: 0.5267, Train Steps/Sec: 0.02, Epoch: 2.73546511627907, LR: 0.001
[2025-04-19 09:23:44] (step=0001560) Train Loss: 1.4153, Train Steps/Sec: 0.03, Epoch: 4.534883720930233, LR: 0.001
[2025-04-19 09:24:13] (step=0001561) Train Loss: 1.4273, Train Steps/Sec: 0.03, Epoch: 4.537790697674419, LR: 0.001
[2025-04-19 09:24:17] (step=0000942) Train Loss: 0.5371, Train Steps/Sec: 0.02, Epoch: 2.738372093023256, LR: 0.001
[2025-04-19 09:24:43] (step=0001562) Train Loss: 1.4333, Train Steps/Sec: 0.03, Epoch: 4.540697674418604, LR: 0.001
[2025-04-19 09:25:05] (step=0000943) Train Loss: 0.6715, Train Steps/Sec: 0.02, Epoch: 2.741279069767442, LR: 0.001
[2025-04-19 09:25:12] (step=0001563) Train Loss: 1.4258, Train Steps/Sec: 0.03, Epoch: 4.5436046511627906, LR: 0.001
[2025-04-19 09:25:42] (step=0001564) Train Loss: 1.4487, Train Steps/Sec: 0.03, Epoch: 4.546511627906977, LR: 0.001
[2025-04-19 09:25:53] (step=0000944) Train Loss: 0.7914, Train Steps/Sec: 0.02, Epoch: 2.744186046511628, LR: 0.001
[2025-04-19 09:26:11] (step=0001565) Train Loss: 1.3821, Train Steps/Sec: 0.03, Epoch: 4.549418604651163, LR: 0.001
[2025-04-19 09:26:40] (step=0001566) Train Loss: 1.4061, Train Steps/Sec: 0.03, Epoch: 4.5523255813953485, LR: 0.001
[2025-04-19 09:26:42] (step=0000945) Train Loss: 0.8417, Train Steps/Sec: 0.02, Epoch: 2.747093023255814, LR: 0.001
[2025-04-19 09:27:10] (step=0001567) Train Loss: 1.3894, Train Steps/Sec: 0.03, Epoch: 4.555232558139535, LR: 0.001
[2025-04-19 09:27:30] (step=0000946) Train Loss: 0.8538, Train Steps/Sec: 0.02, Epoch: 2.75, LR: 0.001
[2025-04-19 09:27:39] (step=0001568) Train Loss: 1.4047, Train Steps/Sec: 0.03, Epoch: 4.558139534883721, LR: 0.001
[2025-04-19 09:28:09] (step=0001569) Train Loss: 1.4243, Train Steps/Sec: 0.03, Epoch: 4.561046511627907, LR: 0.001
[2025-04-19 09:28:18] (step=0000947) Train Loss: 0.8673, Train Steps/Sec: 0.02, Epoch: 2.752906976744186, LR: 0.001
[2025-04-19 09:28:38] (step=0001570) Train Loss: 1.3798, Train Steps/Sec: 0.03, Epoch: 4.563953488372093, LR: 0.001
[2025-04-19 09:29:07] (step=0000948) Train Loss: 0.7986, Train Steps/Sec: 0.02, Epoch: 2.755813953488372, LR: 0.001
[2025-04-19 09:29:08] (step=0001571) Train Loss: 1.3485, Train Steps/Sec: 0.03, Epoch: 4.566860465116279, LR: 0.001
[2025-04-19 09:29:38] (step=0001572) Train Loss: 1.4652, Train Steps/Sec: 0.03, Epoch: 4.569767441860465, LR: 0.001
[2025-04-19 09:29:55] (step=0000949) Train Loss: 0.7765, Train Steps/Sec: 0.02, Epoch: 2.758720930232558, LR: 0.001
[2025-04-19 09:30:07] (step=0001573) Train Loss: 1.4462, Train Steps/Sec: 0.03, Epoch: 4.5726744186046515, LR: 0.001
[2025-04-19 09:30:37] (step=0001574) Train Loss: 1.4313, Train Steps/Sec: 0.03, Epoch: 4.575581395348837, LR: 0.001
[2025-04-19 09:30:43] (step=0000950) Train Loss: 0.5454, Train Steps/Sec: 0.02, Epoch: 2.761627906976744, LR: 0.001
[2025-04-19 09:31:06] (step=0001575) Train Loss: 1.4018, Train Steps/Sec: 0.03, Epoch: 4.578488372093023, LR: 0.001
[2025-04-19 09:31:32] (step=0000951) Train Loss: 0.7110, Train Steps/Sec: 0.02, Epoch: 2.76453488372093, LR: 0.001
[2025-04-19 09:31:35] (step=0001576) Train Loss: 1.4097, Train Steps/Sec: 0.03, Epoch: 4.5813953488372094, LR: 0.001
[2025-04-19 09:32:04] (step=0001577) Train Loss: 1.3726, Train Steps/Sec: 0.03, Epoch: 4.584302325581396, LR: 0.001
[2025-04-19 09:32:20] (step=0000952) Train Loss: 0.7606, Train Steps/Sec: 0.02, Epoch: 2.7674418604651163, LR: 0.001
[2025-04-19 09:32:34] (step=0001578) Train Loss: 1.4393, Train Steps/Sec: 0.03, Epoch: 4.587209302325581, LR: 0.001
[2025-04-19 09:33:04] (step=0001579) Train Loss: 1.3855, Train Steps/Sec: 0.03, Epoch: 4.590116279069767, LR: 0.001
[2025-04-19 09:33:08] (step=0000953) Train Loss: 0.7573, Train Steps/Sec: 0.02, Epoch: 2.770348837209302, LR: 0.001
[2025-04-19 09:33:33] (step=0001580) Train Loss: 1.3602, Train Steps/Sec: 0.03, Epoch: 4.593023255813954, LR: 0.001
[2025-04-19 09:33:56] (step=0000954) Train Loss: 0.5157, Train Steps/Sec: 0.02, Epoch: 2.7732558139534884, LR: 0.001
[2025-04-19 09:34:03] (step=0001581) Train Loss: 1.3493, Train Steps/Sec: 0.03, Epoch: 4.59593023255814, LR: 0.001
[2025-04-19 09:34:32] (step=0001582) Train Loss: 1.4226, Train Steps/Sec: 0.03, Epoch: 4.598837209302325, LR: 0.001
[2025-04-19 09:34:44] (step=0000955) Train Loss: 0.5120, Train Steps/Sec: 0.02, Epoch: 2.7761627906976742, LR: 0.001
[2025-04-19 09:35:02] (step=0001583) Train Loss: 1.4074, Train Steps/Sec: 0.03, Epoch: 4.601744186046512, LR: 0.001
[2025-04-19 09:35:31] (step=0001584) Train Loss: 1.4305, Train Steps/Sec: 0.03, Epoch: 4.604651162790698, LR: 0.001
[2025-04-19 09:35:33] (step=0000956) Train Loss: 0.6239, Train Steps/Sec: 0.02, Epoch: 2.7790697674418605, LR: 0.001
[2025-04-19 09:36:01] (step=0001585) Train Loss: 1.4254, Train Steps/Sec: 0.03, Epoch: 4.607558139534884, LR: 0.001
[2025-04-19 09:36:21] (step=0000957) Train Loss: 0.7676, Train Steps/Sec: 0.02, Epoch: 2.7819767441860463, LR: 0.001
[2025-04-19 09:36:30] (step=0001586) Train Loss: 1.4843, Train Steps/Sec: 0.03, Epoch: 4.6104651162790695, LR: 0.001
[2025-04-19 09:37:00] (step=0001587) Train Loss: 1.4126, Train Steps/Sec: 0.03, Epoch: 4.613372093023256, LR: 0.001
[2025-04-19 09:37:09] (step=0000958) Train Loss: 0.7398, Train Steps/Sec: 0.02, Epoch: 2.7848837209302326, LR: 0.001
[2025-04-19 09:37:29] (step=0001588) Train Loss: 1.3758, Train Steps/Sec: 0.03, Epoch: 4.616279069767442, LR: 0.001
[2025-04-19 09:37:58] (step=0000959) Train Loss: 0.6403, Train Steps/Sec: 0.02, Epoch: 2.7877906976744184, LR: 0.001
[2025-04-19 09:37:59] (step=0001589) Train Loss: 1.3875, Train Steps/Sec: 0.03, Epoch: 4.619186046511628, LR: 0.001
[2025-04-19 09:38:28] (step=0001590) Train Loss: 1.4386, Train Steps/Sec: 0.03, Epoch: 4.622093023255814, LR: 0.001
[2025-04-19 09:38:46] (step=0000960) Train Loss: 0.6630, Train Steps/Sec: 0.02, Epoch: 2.7906976744186047, LR: 0.001
[2025-04-19 09:38:58] (step=0001591) Train Loss: 1.3852, Train Steps/Sec: 0.03, Epoch: 4.625, LR: 0.001
[2025-04-19 09:39:27] (step=0001592) Train Loss: 1.4460, Train Steps/Sec: 0.03, Epoch: 4.627906976744186, LR: 0.001
[2025-04-19 09:39:34] (step=0000961) Train Loss: 0.8766, Train Steps/Sec: 0.02, Epoch: 2.7936046511627906, LR: 0.001
[2025-04-19 09:39:57] (step=0001593) Train Loss: 1.3907, Train Steps/Sec: 0.03, Epoch: 4.630813953488372, LR: 0.001
[2025-04-19 09:40:22] (step=0000962) Train Loss: 0.6766, Train Steps/Sec: 0.02, Epoch: 2.796511627906977, LR: 0.001
[2025-04-19 09:40:26] (step=0001594) Train Loss: 1.4832, Train Steps/Sec: 0.03, Epoch: 4.633720930232558, LR: 0.001
[2025-04-19 09:40:56] (step=0001595) Train Loss: 1.4501, Train Steps/Sec: 0.03, Epoch: 4.636627906976744, LR: 0.001
[2025-04-19 09:41:10] (step=0000963) Train Loss: 0.6122, Train Steps/Sec: 0.02, Epoch: 2.7994186046511627, LR: 0.001
[2025-04-19 09:41:26] (step=0001596) Train Loss: 1.4549, Train Steps/Sec: 0.03, Epoch: 4.6395348837209305, LR: 0.001
[2025-04-19 09:41:55] (step=0001597) Train Loss: 1.4160, Train Steps/Sec: 0.03, Epoch: 4.642441860465116, LR: 0.001
[2025-04-19 09:41:59] (step=0000964) Train Loss: 0.3970, Train Steps/Sec: 0.02, Epoch: 2.802325581395349, LR: 0.001
[2025-04-19 09:42:24] (step=0001598) Train Loss: 1.3664, Train Steps/Sec: 0.03, Epoch: 4.645348837209302, LR: 0.001
[2025-04-19 09:42:47] (step=0000965) Train Loss: 0.7049, Train Steps/Sec: 0.02, Epoch: 2.8052325581395348, LR: 0.001
[2025-04-19 09:42:54] (step=0001599) Train Loss: 1.3489, Train Steps/Sec: 0.03, Epoch: 4.648255813953488, LR: 0.001
[2025-04-19 09:43:23] (step=0001600) Train Loss: 1.4248, Train Steps/Sec: 0.03, Epoch: 4.651162790697675, LR: 0.001
[2025-04-19 09:43:35] (step=0000966) Train Loss: 0.7855, Train Steps/Sec: 0.02, Epoch: 2.808139534883721, LR: 0.001
[2025-04-19 09:43:37] Saved checkpoint to ./results/sfm_based//checkpoints/0001600/
[2025-04-19 09:44:07] (step=0001601) Train Loss: 1.4273, Train Steps/Sec: 0.02, Epoch: 4.65406976744186, LR: 0.001
[2025-04-19 09:44:24] (step=0000967) Train Loss: 0.6749, Train Steps/Sec: 0.02, Epoch: 2.811046511627907, LR: 0.001
[2025-04-19 09:44:36] (step=0001602) Train Loss: 1.4236, Train Steps/Sec: 0.03, Epoch: 4.656976744186046, LR: 0.001
[2025-04-19 09:45:06] (step=0001603) Train Loss: 1.4473, Train Steps/Sec: 0.03, Epoch: 4.659883720930233, LR: 0.001
[2025-04-19 09:45:12] (step=0000968) Train Loss: 0.5455, Train Steps/Sec: 0.02, Epoch: 2.813953488372093, LR: 0.001
[2025-04-19 09:45:35] (step=0001604) Train Loss: 1.3904, Train Steps/Sec: 0.03, Epoch: 4.662790697674419, LR: 0.001
[2025-04-19 09:46:00] (step=0000969) Train Loss: 0.7945, Train Steps/Sec: 0.02, Epoch: 2.816860465116279, LR: 0.001
[2025-04-19 09:46:05] (step=0001605) Train Loss: 1.4722, Train Steps/Sec: 0.03, Epoch: 4.665697674418604, LR: 0.001
[2025-04-19 09:46:35] (step=0001606) Train Loss: 1.3924, Train Steps/Sec: 0.03, Epoch: 4.6686046511627906, LR: 0.001
[2025-04-19 09:46:49] (step=0000970) Train Loss: 0.7616, Train Steps/Sec: 0.02, Epoch: 2.8197674418604652, LR: 0.001
[2025-04-19 09:47:04] (step=0001607) Train Loss: 1.4050, Train Steps/Sec: 0.03, Epoch: 4.671511627906977, LR: 0.001
[2025-04-19 09:47:34] (step=0001608) Train Loss: 1.4245, Train Steps/Sec: 0.03, Epoch: 4.674418604651163, LR: 0.001
[2025-04-19 09:47:37] (step=0000971) Train Loss: 0.8313, Train Steps/Sec: 0.02, Epoch: 2.822674418604651, LR: 0.001
[2025-04-19 09:48:04] (step=0001609) Train Loss: 1.4132, Train Steps/Sec: 0.03, Epoch: 4.6773255813953485, LR: 0.001
[2025-04-19 09:48:25] (step=0000972) Train Loss: 0.5345, Train Steps/Sec: 0.02, Epoch: 2.8255813953488373, LR: 0.001
[2025-04-19 09:48:33] (step=0001610) Train Loss: 1.4216, Train Steps/Sec: 0.03, Epoch: 4.680232558139535, LR: 0.001
[2025-04-19 09:49:03] (step=0001611) Train Loss: 1.3833, Train Steps/Sec: 0.03, Epoch: 4.683139534883721, LR: 0.001
[2025-04-19 09:49:13] (step=0000973) Train Loss: 0.3791, Train Steps/Sec: 0.02, Epoch: 2.828488372093023, LR: 0.001
[2025-04-19 09:49:33] (step=0001612) Train Loss: 1.4282, Train Steps/Sec: 0.03, Epoch: 4.686046511627907, LR: 0.001
[2025-04-19 09:50:01] (step=0000974) Train Loss: 0.7458, Train Steps/Sec: 0.02, Epoch: 2.8313953488372094, LR: 0.001
[2025-04-19 09:50:02] (step=0001613) Train Loss: 1.4171, Train Steps/Sec: 0.03, Epoch: 4.688953488372093, LR: 0.001
[2025-04-19 09:50:32] (step=0001614) Train Loss: 1.4306, Train Steps/Sec: 0.03, Epoch: 4.691860465116279, LR: 0.001
[2025-04-19 09:50:50] (step=0000975) Train Loss: 0.5733, Train Steps/Sec: 0.02, Epoch: 2.8343023255813953, LR: 0.001
[2025-04-19 09:51:01] (step=0001615) Train Loss: 1.4197, Train Steps/Sec: 0.03, Epoch: 4.694767441860465, LR: 0.001
[2025-04-19 09:51:31] (step=0001616) Train Loss: 1.3939, Train Steps/Sec: 0.03, Epoch: 4.6976744186046515, LR: 0.001
[2025-04-19 09:51:38] (step=0000976) Train Loss: 0.6475, Train Steps/Sec: 0.02, Epoch: 2.8372093023255816, LR: 0.001
[2025-04-19 09:52:00] (step=0001617) Train Loss: 1.4226, Train Steps/Sec: 0.03, Epoch: 4.700581395348837, LR: 0.001
[2025-04-19 09:52:26] (step=0000977) Train Loss: 0.4622, Train Steps/Sec: 0.02, Epoch: 2.8401162790697674, LR: 0.001
[2025-04-19 09:52:30] (step=0001618) Train Loss: 1.3849, Train Steps/Sec: 0.03, Epoch: 4.703488372093023, LR: 0.001
[2025-04-19 09:52:59] (step=0001619) Train Loss: 1.4442, Train Steps/Sec: 0.03, Epoch: 4.7063953488372094, LR: 0.001
[2025-04-19 09:53:14] (step=0000978) Train Loss: 0.8262, Train Steps/Sec: 0.02, Epoch: 2.8430232558139537, LR: 0.001
[2025-04-19 09:53:29] (step=0001620) Train Loss: 1.4365, Train Steps/Sec: 0.03, Epoch: 4.709302325581396, LR: 0.001
[2025-04-19 09:53:58] (step=0001621) Train Loss: 1.3931, Train Steps/Sec: 0.03, Epoch: 4.712209302325581, LR: 0.001
[2025-04-19 09:54:03] (step=0000979) Train Loss: 0.5680, Train Steps/Sec: 0.02, Epoch: 2.8459302325581395, LR: 0.001
[2025-04-19 09:54:28] (step=0001622) Train Loss: 1.3738, Train Steps/Sec: 0.03, Epoch: 4.715116279069767, LR: 0.001
[2025-04-19 09:54:51] (step=0000980) Train Loss: 0.6128, Train Steps/Sec: 0.02, Epoch: 2.8488372093023258, LR: 0.001
[2025-04-19 09:54:57] (step=0001623) Train Loss: 1.3891, Train Steps/Sec: 0.03, Epoch: 4.718023255813954, LR: 0.001
[2025-04-19 09:55:27] (step=0001624) Train Loss: 1.3951, Train Steps/Sec: 0.03, Epoch: 4.72093023255814, LR: 0.001
[2025-04-19 09:55:39] (step=0000981) Train Loss: 0.6864, Train Steps/Sec: 0.02, Epoch: 2.8517441860465116, LR: 0.001
[2025-04-19 09:55:56] (step=0001625) Train Loss: 1.4534, Train Steps/Sec: 0.03, Epoch: 4.723837209302325, LR: 0.001
[2025-04-19 09:56:26] (step=0001626) Train Loss: 1.3958, Train Steps/Sec: 0.03, Epoch: 4.726744186046512, LR: 0.001
[2025-04-19 09:56:28] (step=0000982) Train Loss: 0.5541, Train Steps/Sec: 0.02, Epoch: 2.854651162790698, LR: 0.001
[2025-04-19 09:56:55] (step=0001627) Train Loss: 1.4338, Train Steps/Sec: 0.03, Epoch: 4.729651162790698, LR: 0.001
[2025-04-19 09:57:16] (step=0000983) Train Loss: 0.5576, Train Steps/Sec: 0.02, Epoch: 2.8575581395348837, LR: 0.001
[2025-04-19 09:57:25] (step=0001628) Train Loss: 1.4768, Train Steps/Sec: 0.03, Epoch: 4.732558139534884, LR: 0.001
[2025-04-19 09:57:54] (step=0001629) Train Loss: 1.3907, Train Steps/Sec: 0.03, Epoch: 4.7354651162790695, LR: 0.001
[2025-04-19 09:58:04] (step=0000984) Train Loss: 0.6897, Train Steps/Sec: 0.02, Epoch: 2.86046511627907, LR: 0.001
[2025-04-19 09:58:24] (step=0001630) Train Loss: 1.4217, Train Steps/Sec: 0.03, Epoch: 4.738372093023256, LR: 0.001
[2025-04-19 09:58:52] (step=0000985) Train Loss: 0.7168, Train Steps/Sec: 0.02, Epoch: 2.863372093023256, LR: 0.001
[2025-04-19 09:58:53] (step=0001631) Train Loss: 1.4335, Train Steps/Sec: 0.03, Epoch: 4.741279069767442, LR: 0.001
[2025-04-19 09:59:23] (step=0001632) Train Loss: 1.3907, Train Steps/Sec: 0.03, Epoch: 4.744186046511628, LR: 0.001
[2025-04-19 09:59:41] (step=0000986) Train Loss: 0.7613, Train Steps/Sec: 0.02, Epoch: 2.866279069767442, LR: 0.001
[2025-04-19 09:59:52] (step=0001633) Train Loss: 1.3909, Train Steps/Sec: 0.03, Epoch: 4.747093023255814, LR: 0.001
[2025-04-19 10:00:22] (step=0001634) Train Loss: 1.3458, Train Steps/Sec: 0.03, Epoch: 4.75, LR: 0.001
[2025-04-19 10:00:29] (step=0000987) Train Loss: 0.7387, Train Steps/Sec: 0.02, Epoch: 2.869186046511628, LR: 0.001
[2025-04-19 10:00:52] (step=0001635) Train Loss: 1.4176, Train Steps/Sec: 0.03, Epoch: 4.752906976744186, LR: 0.001
[2025-04-19 10:01:17] (step=0000988) Train Loss: 0.8110, Train Steps/Sec: 0.02, Epoch: 2.872093023255814, LR: 0.001
[2025-04-19 10:01:21] (step=0001636) Train Loss: 1.4137, Train Steps/Sec: 0.03, Epoch: 4.755813953488372, LR: 0.001
[2025-04-19 10:01:50] (step=0001637) Train Loss: 1.4243, Train Steps/Sec: 0.03, Epoch: 4.758720930232558, LR: 0.001
[2025-04-19 10:02:06] (step=0000989) Train Loss: 0.4539, Train Steps/Sec: 0.02, Epoch: 2.875, LR: 0.001
[2025-04-19 10:02:20] (step=0001638) Train Loss: 1.3494, Train Steps/Sec: 0.03, Epoch: 4.761627906976744, LR: 0.001
[2025-04-19 10:02:50] (step=0001639) Train Loss: 1.4456, Train Steps/Sec: 0.03, Epoch: 4.7645348837209305, LR: 0.001
[2025-04-19 10:02:54] (step=0000990) Train Loss: 0.7031, Train Steps/Sec: 0.02, Epoch: 2.877906976744186, LR: 0.001
[2025-04-19 10:03:19] (step=0001640) Train Loss: 1.3954, Train Steps/Sec: 0.03, Epoch: 4.767441860465116, LR: 0.001
[2025-04-19 10:03:43] (step=0000991) Train Loss: 0.4555, Train Steps/Sec: 0.02, Epoch: 2.880813953488372, LR: 0.001
[2025-04-19 10:03:49] (step=0001641) Train Loss: 1.3926, Train Steps/Sec: 0.03, Epoch: 4.770348837209302, LR: 0.001
[2025-04-19 10:04:18] (step=0001642) Train Loss: 1.3593, Train Steps/Sec: 0.03, Epoch: 4.773255813953488, LR: 0.001
[2025-04-19 10:04:31] (step=0000992) Train Loss: 0.8082, Train Steps/Sec: 0.02, Epoch: 2.883720930232558, LR: 0.001
[2025-04-19 10:04:48] (step=0001643) Train Loss: 1.4312, Train Steps/Sec: 0.03, Epoch: 4.776162790697675, LR: 0.001
[2025-04-19 10:05:17] (step=0001644) Train Loss: 1.3664, Train Steps/Sec: 0.03, Epoch: 4.77906976744186, LR: 0.001
[2025-04-19 10:05:19] (step=0000993) Train Loss: 0.4676, Train Steps/Sec: 0.02, Epoch: 2.886627906976744, LR: 0.001
[2025-04-19 10:05:47] (step=0001645) Train Loss: 1.4244, Train Steps/Sec: 0.03, Epoch: 4.781976744186046, LR: 0.001
[2025-04-19 10:06:07] (step=0000994) Train Loss: 0.6877, Train Steps/Sec: 0.02, Epoch: 2.88953488372093, LR: 0.001
[2025-04-19 10:06:16] (step=0001646) Train Loss: 1.3804, Train Steps/Sec: 0.03, Epoch: 4.784883720930233, LR: 0.001
[2025-04-19 10:06:46] (step=0001647) Train Loss: 1.3600, Train Steps/Sec: 0.03, Epoch: 4.787790697674419, LR: 0.001
[2025-04-19 10:06:56] (step=0000995) Train Loss: 0.8215, Train Steps/Sec: 0.02, Epoch: 2.8924418604651163, LR: 0.001
[2025-04-19 10:07:15] (step=0001648) Train Loss: 1.3831, Train Steps/Sec: 0.03, Epoch: 4.790697674418604, LR: 0.001
[2025-04-19 10:07:44] (step=0000996) Train Loss: 0.8034, Train Steps/Sec: 0.02, Epoch: 2.895348837209302, LR: 0.001
[2025-04-19 10:07:44] (step=0001649) Train Loss: 1.3200, Train Steps/Sec: 0.03, Epoch: 4.7936046511627906, LR: 0.001
[2025-04-19 10:08:14] (step=0001650) Train Loss: 1.4022, Train Steps/Sec: 0.03, Epoch: 4.796511627906977, LR: 0.001
[2025-04-19 10:08:32] (step=0000997) Train Loss: 0.3743, Train Steps/Sec: 0.02, Epoch: 2.8982558139534884, LR: 0.001
[2025-04-19 10:08:44] (step=0001651) Train Loss: 1.4507, Train Steps/Sec: 0.03, Epoch: 4.799418604651163, LR: 0.001
[2025-04-19 10:09:14] (step=0001652) Train Loss: 1.4245, Train Steps/Sec: 0.03, Epoch: 4.8023255813953485, LR: 0.001
[2025-04-19 10:09:21] (step=0000998) Train Loss: 0.4447, Train Steps/Sec: 0.02, Epoch: 2.9011627906976742, LR: 0.001
[2025-04-19 10:09:43] (step=0001653) Train Loss: 1.3654, Train Steps/Sec: 0.03, Epoch: 4.805232558139535, LR: 0.001
[2025-04-19 10:10:09] (step=0000999) Train Loss: 0.8499, Train Steps/Sec: 0.02, Epoch: 2.9040697674418605, LR: 0.001
[2025-04-19 10:10:12] (step=0001654) Train Loss: 1.3632, Train Steps/Sec: 0.03, Epoch: 4.808139534883721, LR: 0.001
[2025-04-19 10:10:42] (step=0001655) Train Loss: 1.3920, Train Steps/Sec: 0.03, Epoch: 4.811046511627907, LR: 0.001
[2025-04-19 10:10:57] (step=0001000) Train Loss: 0.5220, Train Steps/Sec: 0.02, Epoch: 2.9069767441860463, LR: 0.001
[2025-04-19 10:11:11] (step=0001656) Train Loss: 1.3404, Train Steps/Sec: 0.03, Epoch: 4.813953488372093, LR: 0.001
[2025-04-19 10:11:12] Saved checkpoint to ./results/sfm_based//checkpoints/0001000/
[2025-04-19 10:11:41] (step=0001657) Train Loss: 1.3374, Train Steps/Sec: 0.03, Epoch: 4.816860465116279, LR: 0.001
[2025-04-19 10:12:00] (step=0001001) Train Loss: 0.5793, Train Steps/Sec: 0.02, Epoch: 2.9098837209302326, LR: 0.001
[2025-04-19 10:12:10] (step=0001658) Train Loss: 1.4080, Train Steps/Sec: 0.03, Epoch: 4.819767441860465, LR: 0.001
[2025-04-19 10:12:40] (step=0001659) Train Loss: 1.3605, Train Steps/Sec: 0.03, Epoch: 4.8226744186046515, LR: 0.001
[2025-04-19 10:12:48] (step=0001002) Train Loss: 0.5509, Train Steps/Sec: 0.02, Epoch: 2.9127906976744184, LR: 0.001
[2025-04-19 10:13:09] (step=0001660) Train Loss: 1.4346, Train Steps/Sec: 0.03, Epoch: 4.825581395348837, LR: 0.001
[2025-04-19 10:13:36] (step=0001003) Train Loss: 0.6780, Train Steps/Sec: 0.02, Epoch: 2.9156976744186047, LR: 0.001
[2025-04-19 10:13:39] (step=0001661) Train Loss: 1.3712, Train Steps/Sec: 0.03, Epoch: 4.828488372093023, LR: 0.001
[2025-04-19 10:14:08] (step=0001662) Train Loss: 1.3386, Train Steps/Sec: 0.03, Epoch: 4.8313953488372094, LR: 0.001
[2025-04-19 10:14:24] (step=0001004) Train Loss: 0.5544, Train Steps/Sec: 0.02, Epoch: 2.9186046511627906, LR: 0.001
[2025-04-19 10:14:38] (step=0001663) Train Loss: 1.4082, Train Steps/Sec: 0.03, Epoch: 4.834302325581396, LR: 0.001
[2025-04-19 10:15:08] (step=0001664) Train Loss: 1.3480, Train Steps/Sec: 0.03, Epoch: 4.837209302325581, LR: 0.001
[2025-04-19 10:15:13] (step=0001005) Train Loss: 0.6134, Train Steps/Sec: 0.02, Epoch: 2.921511627906977, LR: 0.001
[2025-04-19 10:15:37] (step=0001665) Train Loss: 1.3414, Train Steps/Sec: 0.03, Epoch: 4.840116279069767, LR: 0.001
[2025-04-19 10:16:01] (step=0001006) Train Loss: 0.8174, Train Steps/Sec: 0.02, Epoch: 2.9244186046511627, LR: 0.001
[2025-04-19 10:16:07] (step=0001666) Train Loss: 1.4603, Train Steps/Sec: 0.03, Epoch: 4.843023255813954, LR: 0.001
[2025-04-19 10:16:36] (step=0001667) Train Loss: 1.3159, Train Steps/Sec: 0.03, Epoch: 4.84593023255814, LR: 0.001
[2025-04-19 10:16:49] (step=0001007) Train Loss: 0.7755, Train Steps/Sec: 0.02, Epoch: 2.927325581395349, LR: 0.001
[2025-04-19 10:17:06] (step=0001668) Train Loss: 1.4400, Train Steps/Sec: 0.03, Epoch: 4.848837209302325, LR: 0.001
[2025-04-19 10:17:36] (step=0001669) Train Loss: 1.3408, Train Steps/Sec: 0.03, Epoch: 4.851744186046512, LR: 0.001
[2025-04-19 10:17:38] (step=0001008) Train Loss: 0.8031, Train Steps/Sec: 0.02, Epoch: 2.9302325581395348, LR: 0.001
[2025-04-19 10:18:05] (step=0001670) Train Loss: 1.4021, Train Steps/Sec: 0.03, Epoch: 4.854651162790698, LR: 0.001
[2025-04-19 10:18:26] (step=0001009) Train Loss: 0.7015, Train Steps/Sec: 0.02, Epoch: 2.933139534883721, LR: 0.001
[2025-04-19 10:18:35] (step=0001671) Train Loss: 1.4019, Train Steps/Sec: 0.03, Epoch: 4.857558139534884, LR: 0.001
[2025-04-19 10:19:05] (step=0001672) Train Loss: 1.4007, Train Steps/Sec: 0.03, Epoch: 4.8604651162790695, LR: 0.001
[2025-04-19 10:19:14] (step=0001010) Train Loss: 0.5805, Train Steps/Sec: 0.02, Epoch: 2.936046511627907, LR: 0.001
[2025-04-19 10:19:34] (step=0001673) Train Loss: 1.3591, Train Steps/Sec: 0.03, Epoch: 4.863372093023256, LR: 0.001
[2025-04-19 10:20:02] (step=0001011) Train Loss: 0.3513, Train Steps/Sec: 0.02, Epoch: 2.938953488372093, LR: 0.001
[2025-04-19 10:20:04] (step=0001674) Train Loss: 1.3646, Train Steps/Sec: 0.03, Epoch: 4.866279069767442, LR: 0.001
[2025-04-19 10:20:33] (step=0001675) Train Loss: 1.4245, Train Steps/Sec: 0.03, Epoch: 4.869186046511628, LR: 0.001
[2025-04-19 10:20:51] (step=0001012) Train Loss: 0.8094, Train Steps/Sec: 0.02, Epoch: 2.941860465116279, LR: 0.001
[2025-04-19 10:21:03] (step=0001676) Train Loss: 1.4185, Train Steps/Sec: 0.03, Epoch: 4.872093023255814, LR: 0.001
[2025-04-19 10:21:32] (step=0001677) Train Loss: 1.3332, Train Steps/Sec: 0.03, Epoch: 4.875, LR: 0.001
[2025-04-19 10:21:39] (step=0001013) Train Loss: 0.8084, Train Steps/Sec: 0.02, Epoch: 2.9447674418604652, LR: 0.001
[2025-04-19 10:22:02] (step=0001678) Train Loss: 1.3520, Train Steps/Sec: 0.03, Epoch: 4.877906976744186, LR: 0.001
[2025-04-19 10:22:27] (step=0001014) Train Loss: 0.5789, Train Steps/Sec: 0.02, Epoch: 2.947674418604651, LR: 0.001
[2025-04-19 10:22:31] (step=0001679) Train Loss: 1.3548, Train Steps/Sec: 0.03, Epoch: 4.880813953488372, LR: 0.001
[2025-04-19 10:23:01] (step=0001680) Train Loss: 1.3482, Train Steps/Sec: 0.03, Epoch: 4.883720930232558, LR: 0.001
[2025-04-19 10:23:15] (step=0001015) Train Loss: 0.5165, Train Steps/Sec: 0.02, Epoch: 2.9505813953488373, LR: 0.001
[2025-04-19 10:23:31] (step=0001681) Train Loss: 1.4194, Train Steps/Sec: 0.03, Epoch: 4.886627906976744, LR: 0.001
[2025-04-19 10:24:00] (step=0001682) Train Loss: 1.4278, Train Steps/Sec: 0.03, Epoch: 4.8895348837209305, LR: 0.001
[2025-04-19 10:24:03] (step=0001016) Train Loss: 0.7828, Train Steps/Sec: 0.02, Epoch: 2.953488372093023, LR: 0.001
[2025-04-19 10:24:30] (step=0001683) Train Loss: 1.3859, Train Steps/Sec: 0.03, Epoch: 4.892441860465116, LR: 0.001
[2025-04-19 10:24:52] (step=0001017) Train Loss: 0.4386, Train Steps/Sec: 0.02, Epoch: 2.9563953488372094, LR: 0.001
[2025-04-19 10:25:00] (step=0001684) Train Loss: 1.3898, Train Steps/Sec: 0.03, Epoch: 4.895348837209302, LR: 0.001
[2025-04-19 10:25:29] (step=0001685) Train Loss: 1.3952, Train Steps/Sec: 0.03, Epoch: 4.898255813953488, LR: 0.001
[2025-04-19 10:25:40] (step=0001018) Train Loss: 0.6441, Train Steps/Sec: 0.02, Epoch: 2.9593023255813953, LR: 0.001
[2025-04-19 10:25:59] (step=0001686) Train Loss: 1.3413, Train Steps/Sec: 0.03, Epoch: 4.901162790697675, LR: 0.001
[2025-04-19 10:26:28] (step=0001687) Train Loss: 1.3454, Train Steps/Sec: 0.03, Epoch: 4.90406976744186, LR: 0.001
[2025-04-19 10:26:28] (step=0001019) Train Loss: 0.5056, Train Steps/Sec: 0.02, Epoch: 2.9622093023255816, LR: 0.001
[2025-04-19 10:26:58] (step=0001688) Train Loss: 1.3629, Train Steps/Sec: 0.03, Epoch: 4.906976744186046, LR: 0.001
[2025-04-19 10:27:16] (step=0001020) Train Loss: 0.7520, Train Steps/Sec: 0.02, Epoch: 2.9651162790697674, LR: 0.001
[2025-04-19 10:27:27] (step=0001689) Train Loss: 1.4148, Train Steps/Sec: 0.03, Epoch: 4.909883720930233, LR: 0.001
[2025-04-19 10:27:56] (step=0001690) Train Loss: 1.3494, Train Steps/Sec: 0.03, Epoch: 4.912790697674419, LR: 0.001
[2025-04-19 10:28:05] (step=0001021) Train Loss: 0.5701, Train Steps/Sec: 0.02, Epoch: 2.9680232558139537, LR: 0.001
[2025-04-19 10:28:26] (step=0001691) Train Loss: 1.3827, Train Steps/Sec: 0.03, Epoch: 4.915697674418604, LR: 0.001
[2025-04-19 10:28:53] (step=0001022) Train Loss: 0.7503, Train Steps/Sec: 0.02, Epoch: 2.9709302325581395, LR: 0.001
[2025-04-19 10:28:55] (step=0001692) Train Loss: 1.3986, Train Steps/Sec: 0.03, Epoch: 4.9186046511627906, LR: 0.001
[2025-04-19 10:29:25] (step=0001693) Train Loss: 1.4503, Train Steps/Sec: 0.03, Epoch: 4.921511627906977, LR: 0.001
[2025-04-19 10:29:41] (step=0001023) Train Loss: 0.8370, Train Steps/Sec: 0.02, Epoch: 2.9738372093023258, LR: 0.001
[2025-04-19 10:29:55] (step=0001694) Train Loss: 1.3698, Train Steps/Sec: 0.03, Epoch: 4.924418604651163, LR: 0.001
[2025-04-19 10:30:24] (step=0001695) Train Loss: 1.3329, Train Steps/Sec: 0.03, Epoch: 4.9273255813953485, LR: 0.001
[2025-04-19 10:30:30] (step=0001024) Train Loss: 0.4826, Train Steps/Sec: 0.02, Epoch: 2.9767441860465116, LR: 0.001
[2025-04-19 10:30:54] (step=0001696) Train Loss: 1.3661, Train Steps/Sec: 0.03, Epoch: 4.930232558139535, LR: 0.001
[2025-04-19 10:31:18] (step=0001025) Train Loss: 0.6570, Train Steps/Sec: 0.02, Epoch: 2.979651162790698, LR: 0.001
[2025-04-19 10:31:23] (step=0001697) Train Loss: 1.3886, Train Steps/Sec: 0.03, Epoch: 4.933139534883721, LR: 0.001
[2025-04-19 10:31:53] (step=0001698) Train Loss: 1.3797, Train Steps/Sec: 0.03, Epoch: 4.936046511627907, LR: 0.001
[2025-04-19 10:32:06] (step=0001026) Train Loss: 0.8616, Train Steps/Sec: 0.02, Epoch: 2.9825581395348837, LR: 0.001
[2025-04-19 10:32:22] (step=0001699) Train Loss: 1.4124, Train Steps/Sec: 0.03, Epoch: 4.938953488372093, LR: 0.001
[2025-04-19 10:32:52] (step=0001700) Train Loss: 1.4149, Train Steps/Sec: 0.03, Epoch: 4.941860465116279, LR: 0.001
[2025-04-19 10:32:55] (step=0001027) Train Loss: 0.5980, Train Steps/Sec: 0.02, Epoch: 2.98546511627907, LR: 0.001
[2025-04-19 10:33:21] (step=0001701) Train Loss: 1.3556, Train Steps/Sec: 0.03, Epoch: 4.944767441860465, LR: 0.001
[2025-04-19 10:33:43] (step=0001028) Train Loss: 0.8197, Train Steps/Sec: 0.02, Epoch: 2.988372093023256, LR: 0.001
[2025-04-19 10:33:51] (step=0001702) Train Loss: 1.4042, Train Steps/Sec: 0.03, Epoch: 4.9476744186046515, LR: 0.001
[2025-04-19 10:34:20] (step=0001703) Train Loss: 1.3738, Train Steps/Sec: 0.03, Epoch: 4.950581395348837, LR: 0.001
[2025-04-19 10:34:31] (step=0001029) Train Loss: 0.4610, Train Steps/Sec: 0.02, Epoch: 2.991279069767442, LR: 0.001
[2025-04-19 10:34:50] (step=0001704) Train Loss: 1.3904, Train Steps/Sec: 0.03, Epoch: 4.953488372093023, LR: 0.001
[2025-04-19 10:35:19] (step=0001030) Train Loss: 0.5962, Train Steps/Sec: 0.02, Epoch: 2.994186046511628, LR: 0.001
[2025-04-19 10:35:20] (step=0001705) Train Loss: 1.3910, Train Steps/Sec: 0.03, Epoch: 4.9563953488372094, LR: 0.001
[2025-04-19 10:35:49] (step=0001706) Train Loss: 1.3819, Train Steps/Sec: 0.03, Epoch: 4.959302325581396, LR: 0.001
[2025-04-19 10:36:07] (step=0001031) Train Loss: 0.6562, Train Steps/Sec: 0.02, Epoch: 2.997093023255814, LR: 0.001
[2025-04-19 10:36:19] (step=0001707) Train Loss: 1.3841, Train Steps/Sec: 0.03, Epoch: 4.962209302325581, LR: 0.001
[2025-04-19 10:36:48] (step=0001708) Train Loss: 1.3641, Train Steps/Sec: 0.03, Epoch: 4.965116279069767, LR: 0.001
[2025-04-19 10:36:56] (step=0001032) Train Loss: 0.6033, Train Steps/Sec: 0.02, Epoch: 3.0, LR: 0.001
[2025-04-19 10:36:56] Beginning epoch 3...
[2025-04-19 10:37:18] (step=0001709) Train Loss: 1.4005, Train Steps/Sec: 0.03, Epoch: 4.968023255813954, LR: 0.001
[2025-04-19 10:37:47] (step=0001710) Train Loss: 1.4029, Train Steps/Sec: 0.03, Epoch: 4.97093023255814, LR: 0.001
[2025-04-19 10:37:52] (step=0001033) Train Loss: 0.5651, Train Steps/Sec: 0.02, Epoch: 3.002906976744186, LR: 0.001
[2025-04-19 10:38:17] (step=0001711) Train Loss: 1.3452, Train Steps/Sec: 0.03, Epoch: 4.973837209302325, LR: 0.001
[2025-04-19 10:38:41] (step=0001034) Train Loss: 0.6109, Train Steps/Sec: 0.02, Epoch: 3.005813953488372, LR: 0.001
[2025-04-19 10:38:47] (step=0001712) Train Loss: 1.3692, Train Steps/Sec: 0.03, Epoch: 4.976744186046512, LR: 0.001
[2025-04-19 10:39:16] (step=0001713) Train Loss: 1.3326, Train Steps/Sec: 0.03, Epoch: 4.979651162790698, LR: 0.001
[2025-04-19 10:39:29] (step=0001035) Train Loss: 0.6878, Train Steps/Sec: 0.02, Epoch: 3.008720930232558, LR: 0.001
[2025-04-19 10:39:45] (step=0001714) Train Loss: 1.3263, Train Steps/Sec: 0.03, Epoch: 4.982558139534884, LR: 0.001
[2025-04-19 10:40:15] (step=0001715) Train Loss: 1.3466, Train Steps/Sec: 0.03, Epoch: 4.9854651162790695, LR: 0.001
[2025-04-19 10:40:17] (step=0001036) Train Loss: 0.8348, Train Steps/Sec: 0.02, Epoch: 3.011627906976744, LR: 0.001
[2025-04-19 10:40:45] (step=0001716) Train Loss: 1.3231, Train Steps/Sec: 0.03, Epoch: 4.988372093023256, LR: 0.001
[2025-04-19 10:41:06] (step=0001037) Train Loss: 0.6013, Train Steps/Sec: 0.02, Epoch: 3.01453488372093, LR: 0.001
[2025-04-19 10:41:14] (step=0001717) Train Loss: 1.3880, Train Steps/Sec: 0.03, Epoch: 4.991279069767442, LR: 0.001
[2025-04-19 10:41:44] (step=0001718) Train Loss: 1.4675, Train Steps/Sec: 0.03, Epoch: 4.994186046511628, LR: 0.001
[2025-04-19 10:41:54] (step=0001038) Train Loss: 0.5579, Train Steps/Sec: 0.02, Epoch: 3.0174418604651163, LR: 0.001
[2025-04-19 10:42:13] (step=0001719) Train Loss: 1.3013, Train Steps/Sec: 0.03, Epoch: 4.997093023255814, LR: 0.001
[2025-04-19 10:42:42] (step=0001039) Train Loss: 0.8029, Train Steps/Sec: 0.02, Epoch: 3.020348837209302, LR: 0.001
[2025-04-19 10:42:43] (step=0001720) Train Loss: 1.3429, Train Steps/Sec: 0.03, Epoch: 5.0, LR: 0.001
[2025-04-19 10:42:43] Beginning epoch 5...
[2025-04-19 10:43:21] (step=0001721) Train Loss: 1.3926, Train Steps/Sec: 0.03, Epoch: 5.002906976744186, LR: 0.001
[2025-04-19 10:43:30] (step=0001040) Train Loss: 0.4027, Train Steps/Sec: 0.02, Epoch: 3.0232558139534884, LR: 0.001
[2025-04-19 10:43:50] (step=0001722) Train Loss: 1.3237, Train Steps/Sec: 0.03, Epoch: 5.005813953488372, LR: 0.001
[2025-04-19 10:44:19] (step=0001041) Train Loss: 0.5689, Train Steps/Sec: 0.02, Epoch: 3.0261627906976742, LR: 0.001
[2025-04-19 10:44:20] (step=0001723) Train Loss: 1.4040, Train Steps/Sec: 0.03, Epoch: 5.008720930232558, LR: 0.001
[2025-04-19 10:44:50] (step=0001724) Train Loss: 1.3892, Train Steps/Sec: 0.03, Epoch: 5.011627906976744, LR: 0.001
[2025-04-19 10:45:07] (step=0001042) Train Loss: 0.4589, Train Steps/Sec: 0.02, Epoch: 3.0290697674418605, LR: 0.001
[2025-04-19 10:45:19] (step=0001725) Train Loss: 1.3852, Train Steps/Sec: 0.03, Epoch: 5.0145348837209305, LR: 0.001
[2025-04-19 10:45:49] (step=0001726) Train Loss: 1.3418, Train Steps/Sec: 0.03, Epoch: 5.017441860465116, LR: 0.001
[2025-04-19 10:45:56] (step=0001043) Train Loss: 0.6870, Train Steps/Sec: 0.02, Epoch: 3.0319767441860463, LR: 0.001
[2025-04-19 10:46:19] (step=0001727) Train Loss: 1.3947, Train Steps/Sec: 0.03, Epoch: 5.020348837209302, LR: 0.001
[2025-04-19 10:46:44] (step=0001044) Train Loss: 0.5033, Train Steps/Sec: 0.02, Epoch: 3.0348837209302326, LR: 0.001
[2025-04-19 10:46:48] (step=0001728) Train Loss: 1.4216, Train Steps/Sec: 0.03, Epoch: 5.023255813953488, LR: 0.001
[2025-04-19 10:47:18] (step=0001729) Train Loss: 1.4597, Train Steps/Sec: 0.03, Epoch: 5.026162790697675, LR: 0.001
[2025-04-19 10:47:32] (step=0001045) Train Loss: 0.5430, Train Steps/Sec: 0.02, Epoch: 3.0377906976744184, LR: 0.001
[2025-04-19 10:47:48] (step=0001730) Train Loss: 1.3766, Train Steps/Sec: 0.03, Epoch: 5.02906976744186, LR: 0.001
[2025-04-19 10:48:17] (step=0001731) Train Loss: 1.3278, Train Steps/Sec: 0.03, Epoch: 5.031976744186046, LR: 0.001
[2025-04-19 10:48:21] (step=0001046) Train Loss: 0.8427, Train Steps/Sec: 0.02, Epoch: 3.0406976744186047, LR: 0.001
[2025-04-19 10:48:47] (step=0001732) Train Loss: 1.4287, Train Steps/Sec: 0.03, Epoch: 5.034883720930233, LR: 0.001
[2025-04-19 10:49:09] (step=0001047) Train Loss: 0.8216, Train Steps/Sec: 0.02, Epoch: 3.0436046511627906, LR: 0.001
[2025-04-19 10:49:16] (step=0001733) Train Loss: 1.3377, Train Steps/Sec: 0.03, Epoch: 5.037790697674419, LR: 0.001
[2025-04-19 10:49:46] (step=0001734) Train Loss: 1.3595, Train Steps/Sec: 0.03, Epoch: 5.040697674418604, LR: 0.001
[2025-04-19 10:49:57] (step=0001048) Train Loss: 0.4628, Train Steps/Sec: 0.02, Epoch: 3.046511627906977, LR: 0.001
[2025-04-19 10:50:16] (step=0001735) Train Loss: 1.3080, Train Steps/Sec: 0.03, Epoch: 5.0436046511627906, LR: 0.001
[2025-04-19 10:50:45] (step=0001736) Train Loss: 1.3209, Train Steps/Sec: 0.03, Epoch: 5.046511627906977, LR: 0.001
[2025-04-19 10:50:46] (step=0001049) Train Loss: 0.8231, Train Steps/Sec: 0.02, Epoch: 3.0494186046511627, LR: 0.001
[2025-04-19 10:51:15] (step=0001737) Train Loss: 1.4014, Train Steps/Sec: 0.03, Epoch: 5.049418604651163, LR: 0.001
[2025-04-19 10:51:34] (step=0001050) Train Loss: 0.6998, Train Steps/Sec: 0.02, Epoch: 3.052325581395349, LR: 0.001
[2025-04-19 10:51:45] (step=0001738) Train Loss: 1.3527, Train Steps/Sec: 0.03, Epoch: 5.0523255813953485, LR: 0.001
[2025-04-19 10:52:14] (step=0001739) Train Loss: 1.3520, Train Steps/Sec: 0.03, Epoch: 5.055232558139535, LR: 0.001
[2025-04-19 10:52:22] (step=0001051) Train Loss: 0.5410, Train Steps/Sec: 0.02, Epoch: 3.0552325581395348, LR: 0.001
[2025-04-19 10:52:44] (step=0001740) Train Loss: 1.3404, Train Steps/Sec: 0.03, Epoch: 5.058139534883721, LR: 0.001
[2025-04-19 10:53:10] (step=0001052) Train Loss: 0.3736, Train Steps/Sec: 0.02, Epoch: 3.058139534883721, LR: 0.001
[2025-04-19 10:53:13] (step=0001741) Train Loss: 1.3892, Train Steps/Sec: 0.03, Epoch: 5.061046511627907, LR: 0.001
[2025-04-19 10:53:43] (step=0001742) Train Loss: 1.3592, Train Steps/Sec: 0.03, Epoch: 5.063953488372093, LR: 0.001
[2025-04-19 10:53:59] (step=0001053) Train Loss: 0.5877, Train Steps/Sec: 0.02, Epoch: 3.061046511627907, LR: 0.001
[2025-04-19 10:54:13] (step=0001743) Train Loss: 1.4183, Train Steps/Sec: 0.03, Epoch: 5.066860465116279, LR: 0.001
[2025-04-19 10:54:17] (step=0001054) Train Loss: 0.3812, Train Steps/Sec: 0.05, Epoch: 3.063953488372093, LR: 0.001
[2025-04-19 10:54:42] (step=0001744) Train Loss: 1.3703, Train Steps/Sec: 0.03, Epoch: 5.069767441860465, LR: 0.001
[2025-04-19 10:55:05] (step=0001055) Train Loss: 0.7954, Train Steps/Sec: 0.02, Epoch: 3.066860465116279, LR: 0.001
[2025-04-19 10:55:12] (step=0001745) Train Loss: 1.3445, Train Steps/Sec: 0.03, Epoch: 5.0726744186046515, LR: 0.001
[2025-04-19 10:55:41] (step=0001746) Train Loss: 1.3835, Train Steps/Sec: 0.03, Epoch: 5.075581395348837, LR: 0.001
[2025-04-19 10:55:54] (step=0001056) Train Loss: 0.6050, Train Steps/Sec: 0.02, Epoch: 3.0697674418604652, LR: 0.001
[2025-04-19 10:56:11] (step=0001747) Train Loss: 1.3218, Train Steps/Sec: 0.03, Epoch: 5.078488372093023, LR: 0.001
[2025-04-19 10:56:40] (step=0001748) Train Loss: 1.3133, Train Steps/Sec: 0.03, Epoch: 5.0813953488372094, LR: 0.001
[2025-04-19 10:56:42] (step=0001057) Train Loss: 0.4460, Train Steps/Sec: 0.02, Epoch: 3.072674418604651, LR: 0.001
[2025-04-19 10:57:10] (step=0001749) Train Loss: 1.3632, Train Steps/Sec: 0.03, Epoch: 5.084302325581396, LR: 0.001
[2025-04-19 10:57:30] (step=0001058) Train Loss: 0.8788, Train Steps/Sec: 0.02, Epoch: 3.0755813953488373, LR: 0.001
[2025-04-19 10:57:39] (step=0001750) Train Loss: 1.3331, Train Steps/Sec: 0.03, Epoch: 5.087209302325581, LR: 0.001
[2025-04-19 10:58:09] (step=0001751) Train Loss: 1.3581, Train Steps/Sec: 0.03, Epoch: 5.090116279069767, LR: 0.001
[2025-04-19 10:58:19] (step=0001059) Train Loss: 0.3873, Train Steps/Sec: 0.02, Epoch: 3.078488372093023, LR: 0.001
[2025-04-19 10:58:39] (step=0001752) Train Loss: 1.3218, Train Steps/Sec: 0.03, Epoch: 5.093023255813954, LR: 0.001
[2025-04-19 10:59:07] (step=0001060) Train Loss: 0.4915, Train Steps/Sec: 0.02, Epoch: 3.0813953488372094, LR: 0.001
[2025-04-19 10:59:08] (step=0001753) Train Loss: 1.3365, Train Steps/Sec: 0.03, Epoch: 5.09593023255814, LR: 0.001
[2025-04-19 10:59:38] (step=0001754) Train Loss: 1.4630, Train Steps/Sec: 0.03, Epoch: 5.098837209302325, LR: 0.001
[2025-04-19 10:59:55] (step=0001061) Train Loss: 0.5449, Train Steps/Sec: 0.02, Epoch: 3.0843023255813953, LR: 0.001
[2025-04-19 11:00:07] (step=0001755) Train Loss: 1.4334, Train Steps/Sec: 0.03, Epoch: 5.101744186046512, LR: 0.001
[2025-04-19 11:00:37] (step=0001756) Train Loss: 1.4155, Train Steps/Sec: 0.03, Epoch: 5.104651162790698, LR: 0.001
[2025-04-19 11:00:43] (step=0001062) Train Loss: 0.3943, Train Steps/Sec: 0.02, Epoch: 3.0872093023255816, LR: 0.001
[2025-04-19 11:01:06] (step=0001757) Train Loss: 1.3163, Train Steps/Sec: 0.03, Epoch: 5.107558139534884, LR: 0.001
[2025-04-19 11:01:32] (step=0001063) Train Loss: 0.8398, Train Steps/Sec: 0.02, Epoch: 3.0901162790697674, LR: 0.001
[2025-04-19 11:01:36] (step=0001758) Train Loss: 1.3495, Train Steps/Sec: 0.03, Epoch: 5.1104651162790695, LR: 0.001
[2025-04-19 11:02:06] (step=0001759) Train Loss: 1.4282, Train Steps/Sec: 0.03, Epoch: 5.113372093023256, LR: 0.001
[2025-04-19 11:02:20] (step=0001064) Train Loss: 0.5126, Train Steps/Sec: 0.02, Epoch: 3.0930232558139537, LR: 0.001
[2025-04-19 11:02:35] (step=0001760) Train Loss: 1.3052, Train Steps/Sec: 0.03, Epoch: 5.116279069767442, LR: 0.001
[2025-04-19 11:03:05] (step=0001761) Train Loss: 1.4692, Train Steps/Sec: 0.03, Epoch: 5.119186046511628, LR: 0.001
[2025-04-19 11:03:08] (step=0001065) Train Loss: 0.6226, Train Steps/Sec: 0.02, Epoch: 3.0959302325581395, LR: 0.001
[2025-04-19 11:03:35] (step=0001762) Train Loss: 1.3135, Train Steps/Sec: 0.03, Epoch: 5.122093023255814, LR: 0.001
[2025-04-19 11:03:56] (step=0001066) Train Loss: 0.5222, Train Steps/Sec: 0.02, Epoch: 3.0988372093023258, LR: 0.001
[2025-04-19 11:04:04] (step=0001763) Train Loss: 1.3369, Train Steps/Sec: 0.03, Epoch: 5.125, LR: 0.001
[2025-04-19 11:04:34] (step=0001764) Train Loss: 1.3457, Train Steps/Sec: 0.03, Epoch: 5.127906976744186, LR: 0.001
[2025-04-19 11:04:44] (step=0001067) Train Loss: 0.6573, Train Steps/Sec: 0.02, Epoch: 3.1017441860465116, LR: 0.001
[2025-04-19 11:05:03] (step=0001765) Train Loss: 1.3893, Train Steps/Sec: 0.03, Epoch: 5.130813953488372, LR: 0.001
[2025-04-19 11:05:32] (step=0001068) Train Loss: 0.4791, Train Steps/Sec: 0.02, Epoch: 3.104651162790698, LR: 0.001
[2025-04-19 11:05:33] (step=0001766) Train Loss: 1.3052, Train Steps/Sec: 0.03, Epoch: 5.133720930232558, LR: 0.001
[2025-04-19 11:06:03] (step=0001767) Train Loss: 1.3303, Train Steps/Sec: 0.03, Epoch: 5.136627906976744, LR: 0.001
[2025-04-19 11:06:21] (step=0001069) Train Loss: 0.8051, Train Steps/Sec: 0.02, Epoch: 3.1075581395348837, LR: 0.001
[2025-04-19 11:06:32] (step=0001768) Train Loss: 1.3441, Train Steps/Sec: 0.03, Epoch: 5.1395348837209305, LR: 0.001
[2025-04-19 11:07:01] (step=0001769) Train Loss: 1.3798, Train Steps/Sec: 0.03, Epoch: 5.142441860465116, LR: 0.001
[2025-04-19 11:07:09] (step=0001070) Train Loss: 0.6435, Train Steps/Sec: 0.02, Epoch: 3.11046511627907, LR: 0.001
[2025-04-19 11:07:31] (step=0001770) Train Loss: 1.3925, Train Steps/Sec: 0.03, Epoch: 5.145348837209302, LR: 0.001
[2025-04-19 11:07:57] (step=0001071) Train Loss: 0.5564, Train Steps/Sec: 0.02, Epoch: 3.113372093023256, LR: 0.001
[2025-04-19 11:08:01] (step=0001771) Train Loss: 1.4306, Train Steps/Sec: 0.03, Epoch: 5.148255813953488, LR: 0.001
[2025-04-19 11:08:10] (step=0001772) Train Loss: 1.4595, Train Steps/Sec: 0.10, Epoch: 5.151162790697675, LR: 0.001
[2025-04-19 11:08:40] (step=0001773) Train Loss: 1.3824, Train Steps/Sec: 0.03, Epoch: 5.15406976744186, LR: 0.001
[2025-04-19 11:08:46] (step=0001072) Train Loss: 0.4210, Train Steps/Sec: 0.02, Epoch: 3.116279069767442, LR: 0.001
[2025-04-19 11:09:10] (step=0001774) Train Loss: 1.3772, Train Steps/Sec: 0.03, Epoch: 5.156976744186046, LR: 0.001
[2025-04-19 11:09:34] (step=0001073) Train Loss: 0.4264, Train Steps/Sec: 0.02, Epoch: 3.119186046511628, LR: 0.001
[2025-04-19 11:09:39] (step=0001775) Train Loss: 1.3939, Train Steps/Sec: 0.03, Epoch: 5.159883720930233, LR: 0.001
[2025-04-19 11:10:09] (step=0001776) Train Loss: 1.3643, Train Steps/Sec: 0.03, Epoch: 5.162790697674419, LR: 0.001
[2025-04-19 11:10:23] (step=0001074) Train Loss: 0.7961, Train Steps/Sec: 0.02, Epoch: 3.122093023255814, LR: 0.001
[2025-04-19 11:10:38] (step=0001777) Train Loss: 1.3728, Train Steps/Sec: 0.03, Epoch: 5.165697674418604, LR: 0.001
[2025-04-19 11:11:08] (step=0001778) Train Loss: 1.3636, Train Steps/Sec: 0.03, Epoch: 5.1686046511627906, LR: 0.001
[2025-04-19 11:11:11] (step=0001075) Train Loss: 0.4476, Train Steps/Sec: 0.02, Epoch: 3.125, LR: 0.001
[2025-04-19 11:11:38] (step=0001779) Train Loss: 1.3454, Train Steps/Sec: 0.03, Epoch: 5.171511627906977, LR: 0.001
[2025-04-19 11:11:59] (step=0001076) Train Loss: 0.6744, Train Steps/Sec: 0.02, Epoch: 3.127906976744186, LR: 0.001
[2025-04-19 11:12:07] (step=0001780) Train Loss: 1.3506, Train Steps/Sec: 0.03, Epoch: 5.174418604651163, LR: 0.001
[2025-04-19 11:12:37] (step=0001781) Train Loss: 1.4226, Train Steps/Sec: 0.03, Epoch: 5.1773255813953485, LR: 0.001
[2025-04-19 11:12:48] (step=0001077) Train Loss: 0.6109, Train Steps/Sec: 0.02, Epoch: 3.130813953488372, LR: 0.001
[2025-04-19 11:13:06] (step=0001782) Train Loss: 1.3249, Train Steps/Sec: 0.03, Epoch: 5.180232558139535, LR: 0.001
[2025-04-19 11:13:36] (step=0001078) Train Loss: 0.4466, Train Steps/Sec: 0.02, Epoch: 3.133720930232558, LR: 0.001
[2025-04-19 11:13:36] (step=0001783) Train Loss: 1.3490, Train Steps/Sec: 0.03, Epoch: 5.183139534883721, LR: 0.001
[2025-04-19 11:14:06] (step=0001784) Train Loss: 1.4035, Train Steps/Sec: 0.03, Epoch: 5.186046511627907, LR: 0.001
[2025-04-19 11:14:24] (step=0001079) Train Loss: 0.7055, Train Steps/Sec: 0.02, Epoch: 3.136627906976744, LR: 0.001
[2025-04-19 11:14:35] (step=0001785) Train Loss: 1.3085, Train Steps/Sec: 0.03, Epoch: 5.188953488372093, LR: 0.001
[2025-04-19 11:15:04] (step=0001786) Train Loss: 1.4617, Train Steps/Sec: 0.03, Epoch: 5.191860465116279, LR: 0.001
[2025-04-19 11:15:13] (step=0001080) Train Loss: 0.7821, Train Steps/Sec: 0.02, Epoch: 3.13953488372093, LR: 0.001
[2025-04-19 11:15:34] (step=0001787) Train Loss: 1.3434, Train Steps/Sec: 0.03, Epoch: 5.194767441860465, LR: 0.001
[2025-04-19 11:16:01] (step=0001081) Train Loss: 0.8642, Train Steps/Sec: 0.02, Epoch: 3.1424418604651163, LR: 0.001
[2025-04-19 11:16:03] (step=0001788) Train Loss: 1.3494, Train Steps/Sec: 0.03, Epoch: 5.1976744186046515, LR: 0.001
[2025-04-19 11:16:33] (step=0001789) Train Loss: 1.4408, Train Steps/Sec: 0.03, Epoch: 5.200581395348837, LR: 0.001
[2025-04-19 11:16:49] (step=0001082) Train Loss: 0.5950, Train Steps/Sec: 0.02, Epoch: 3.145348837209302, LR: 0.001
[2025-04-19 11:17:02] (step=0001790) Train Loss: 1.4113, Train Steps/Sec: 0.03, Epoch: 5.203488372093023, LR: 0.001
[2025-04-19 11:17:32] (step=0001791) Train Loss: 1.3401, Train Steps/Sec: 0.03, Epoch: 5.2063953488372094, LR: 0.001
[2025-04-19 11:17:38] (step=0001083) Train Loss: 0.8222, Train Steps/Sec: 0.02, Epoch: 3.1482558139534884, LR: 0.001
[2025-04-19 11:18:02] (step=0001792) Train Loss: 1.3310, Train Steps/Sec: 0.03, Epoch: 5.209302325581396, LR: 0.001
[2025-04-19 11:18:26] (step=0001084) Train Loss: 0.6857, Train Steps/Sec: 0.02, Epoch: 3.1511627906976742, LR: 0.001
[2025-04-19 11:18:31] (step=0001793) Train Loss: 1.4269, Train Steps/Sec: 0.03, Epoch: 5.212209302325581, LR: 0.001
[2025-04-19 11:19:01] (step=0001794) Train Loss: 1.3591, Train Steps/Sec: 0.03, Epoch: 5.215116279069767, LR: 0.001
[2025-04-19 11:19:14] (step=0001085) Train Loss: 0.6427, Train Steps/Sec: 0.02, Epoch: 3.1540697674418605, LR: 0.001
[2025-04-19 11:19:30] (step=0001795) Train Loss: 1.3171, Train Steps/Sec: 0.03, Epoch: 5.218023255813954, LR: 0.001
[2025-04-19 11:20:00] (step=0001796) Train Loss: 1.3477, Train Steps/Sec: 0.03, Epoch: 5.22093023255814, LR: 0.001
[2025-04-19 11:20:03] (step=0001086) Train Loss: 0.4988, Train Steps/Sec: 0.02, Epoch: 3.1569767441860463, LR: 0.001
[2025-04-19 11:20:29] (step=0001797) Train Loss: 1.3994, Train Steps/Sec: 0.03, Epoch: 5.223837209302325, LR: 0.001
[2025-04-19 11:20:51] (step=0001087) Train Loss: 0.8147, Train Steps/Sec: 0.02, Epoch: 3.1598837209302326, LR: 0.001
[2025-04-19 11:20:59] (step=0001798) Train Loss: 1.4119, Train Steps/Sec: 0.03, Epoch: 5.226744186046512, LR: 0.001
[2025-04-19 11:21:28] (step=0001799) Train Loss: 1.3817, Train Steps/Sec: 0.03, Epoch: 5.229651162790698, LR: 0.001
[2025-04-19 11:21:39] (step=0001088) Train Loss: 0.7336, Train Steps/Sec: 0.02, Epoch: 3.1627906976744184, LR: 0.001
[2025-04-19 11:21:58] (step=0001800) Train Loss: 1.3429, Train Steps/Sec: 0.03, Epoch: 5.232558139534884, LR: 0.001
[2025-04-19 11:22:12] Saved checkpoint to ./results/sfm_based//checkpoints/0001800/
[2025-04-19 11:22:27] (step=0001089) Train Loss: 0.8133, Train Steps/Sec: 0.02, Epoch: 3.1656976744186047, LR: 0.001
[2025-04-19 11:22:41] (step=0001801) Train Loss: 1.3537, Train Steps/Sec: 0.02, Epoch: 5.2354651162790695, LR: 0.001
[2025-04-19 11:23:10] (step=0001802) Train Loss: 1.4100, Train Steps/Sec: 0.03, Epoch: 5.238372093023256, LR: 0.001
[2025-04-19 11:23:16] (step=0001090) Train Loss: 0.4706, Train Steps/Sec: 0.02, Epoch: 3.1686046511627906, LR: 0.001
[2025-04-19 11:23:40] (step=0001803) Train Loss: 1.3339, Train Steps/Sec: 0.03, Epoch: 5.241279069767442, LR: 0.001
[2025-04-19 11:24:04] (step=0001091) Train Loss: 0.6349, Train Steps/Sec: 0.02, Epoch: 3.171511627906977, LR: 0.001
[2025-04-19 11:24:09] (step=0001804) Train Loss: 1.3859, Train Steps/Sec: 0.03, Epoch: 5.244186046511628, LR: 0.001
[2025-04-19 11:24:39] (step=0001805) Train Loss: 1.3281, Train Steps/Sec: 0.03, Epoch: 5.247093023255814, LR: 0.001
[2025-04-19 11:24:52] (step=0001092) Train Loss: 0.8346, Train Steps/Sec: 0.02, Epoch: 3.1744186046511627, LR: 0.001
[2025-04-19 11:25:09] (step=0001806) Train Loss: 1.3915, Train Steps/Sec: 0.03, Epoch: 5.25, LR: 0.001
[2025-04-19 11:25:39] (step=0001807) Train Loss: 1.3890, Train Steps/Sec: 0.03, Epoch: 5.252906976744186, LR: 0.001
[2025-04-19 11:25:41] (step=0001093) Train Loss: 0.7443, Train Steps/Sec: 0.02, Epoch: 3.177325581395349, LR: 0.001
[2025-04-19 11:26:08] (step=0001808) Train Loss: 1.3608, Train Steps/Sec: 0.03, Epoch: 5.255813953488372, LR: 0.001
[2025-04-19 11:26:29] (step=0001094) Train Loss: 0.7874, Train Steps/Sec: 0.02, Epoch: 3.1802325581395348, LR: 0.001
[2025-04-19 11:26:38] (step=0001809) Train Loss: 1.4174, Train Steps/Sec: 0.03, Epoch: 5.258720930232558, LR: 0.001
[2025-04-19 11:27:07] (step=0001810) Train Loss: 1.3223, Train Steps/Sec: 0.03, Epoch: 5.261627906976744, LR: 0.001
[2025-04-19 11:27:17] (step=0001095) Train Loss: 0.8156, Train Steps/Sec: 0.02, Epoch: 3.183139534883721, LR: 0.001
[2025-04-19 11:27:37] (step=0001811) Train Loss: 1.3721, Train Steps/Sec: 0.03, Epoch: 5.2645348837209305, LR: 0.001
[2025-04-19 11:28:06] (step=0001096) Train Loss: 0.6348, Train Steps/Sec: 0.02, Epoch: 3.186046511627907, LR: 0.001
[2025-04-19 11:28:07] (step=0001812) Train Loss: 1.3731, Train Steps/Sec: 0.03, Epoch: 5.267441860465116, LR: 0.001
[2025-04-19 11:28:36] (step=0001813) Train Loss: 1.3662, Train Steps/Sec: 0.03, Epoch: 5.270348837209302, LR: 0.001
[2025-04-19 11:28:54] (step=0001097) Train Loss: 0.5654, Train Steps/Sec: 0.02, Epoch: 3.188953488372093, LR: 0.001
[2025-04-19 11:29:06] (step=0001814) Train Loss: 1.3498, Train Steps/Sec: 0.03, Epoch: 5.273255813953488, LR: 0.001
[2025-04-19 11:29:35] (step=0001815) Train Loss: 1.4021, Train Steps/Sec: 0.03, Epoch: 5.276162790697675, LR: 0.001
[2025-04-19 11:29:42] (step=0001098) Train Loss: 0.5355, Train Steps/Sec: 0.02, Epoch: 3.191860465116279, LR: 0.001
[2025-04-19 11:30:05] (step=0001816) Train Loss: 1.4293, Train Steps/Sec: 0.03, Epoch: 5.27906976744186, LR: 0.001
[2025-04-19 11:30:30] (step=0001099) Train Loss: 0.4919, Train Steps/Sec: 0.02, Epoch: 3.1947674418604652, LR: 0.001
[2025-04-19 11:30:34] (step=0001817) Train Loss: 1.3399, Train Steps/Sec: 0.03, Epoch: 5.281976744186046, LR: 0.001
[2025-04-19 11:31:04] (step=0001818) Train Loss: 1.3139, Train Steps/Sec: 0.03, Epoch: 5.284883720930233, LR: 0.001
[2025-04-19 11:31:19] (step=0001100) Train Loss: 0.5628, Train Steps/Sec: 0.02, Epoch: 3.197674418604651, LR: 0.001
[2025-04-19 11:31:33] (step=0001819) Train Loss: 1.3790, Train Steps/Sec: 0.03, Epoch: 5.287790697674419, LR: 0.001
[2025-04-19 11:32:03] (step=0001820) Train Loss: 1.4037, Train Steps/Sec: 0.03, Epoch: 5.290697674418604, LR: 0.001
[2025-04-19 11:32:07] (step=0001101) Train Loss: 0.7883, Train Steps/Sec: 0.02, Epoch: 3.2005813953488373, LR: 0.001
[2025-04-19 11:32:33] (step=0001821) Train Loss: 1.3303, Train Steps/Sec: 0.03, Epoch: 5.2936046511627906, LR: 0.001
[2025-04-19 11:32:55] (step=0001102) Train Loss: 0.8500, Train Steps/Sec: 0.02, Epoch: 3.203488372093023, LR: 0.001
[2025-04-19 11:33:02] (step=0001822) Train Loss: 1.4239, Train Steps/Sec: 0.03, Epoch: 5.296511627906977, LR: 0.001
[2025-04-19 11:33:32] (step=0001823) Train Loss: 1.3693, Train Steps/Sec: 0.03, Epoch: 5.299418604651163, LR: 0.001
[2025-04-19 11:33:43] (step=0001103) Train Loss: 0.7980, Train Steps/Sec: 0.02, Epoch: 3.2063953488372094, LR: 0.001
[2025-04-19 11:34:02] (step=0001824) Train Loss: 1.3742, Train Steps/Sec: 0.03, Epoch: 5.3023255813953485, LR: 0.001
[2025-04-19 11:34:31] (step=0001825) Train Loss: 1.3563, Train Steps/Sec: 0.03, Epoch: 5.305232558139535, LR: 0.001
[2025-04-19 11:34:32] (step=0001104) Train Loss: 0.8739, Train Steps/Sec: 0.02, Epoch: 3.2093023255813953, LR: 0.001
[2025-04-19 11:35:01] (step=0001826) Train Loss: 1.3624, Train Steps/Sec: 0.03, Epoch: 5.308139534883721, LR: 0.001
[2025-04-19 11:35:20] (step=0001105) Train Loss: 0.8185, Train Steps/Sec: 0.02, Epoch: 3.2122093023255816, LR: 0.001
[2025-04-19 11:35:31] (step=0001827) Train Loss: 1.3958, Train Steps/Sec: 0.03, Epoch: 5.311046511627907, LR: 0.001
[2025-04-19 11:36:00] (step=0001828) Train Loss: 1.3711, Train Steps/Sec: 0.03, Epoch: 5.313953488372093, LR: 0.001
[2025-04-19 11:36:08] (step=0001106) Train Loss: 0.5956, Train Steps/Sec: 0.02, Epoch: 3.2151162790697674, LR: 0.001
[2025-04-19 11:36:30] (step=0001829) Train Loss: 1.3793, Train Steps/Sec: 0.03, Epoch: 5.316860465116279, LR: 0.001
[2025-04-19 11:36:57] (step=0001107) Train Loss: 0.6808, Train Steps/Sec: 0.02, Epoch: 3.2180232558139537, LR: 0.001
[2025-04-19 11:36:59] (step=0001830) Train Loss: 1.2774, Train Steps/Sec: 0.03, Epoch: 5.319767441860465, LR: 0.001
[2025-04-19 11:37:29] (step=0001831) Train Loss: 1.3681, Train Steps/Sec: 0.03, Epoch: 5.3226744186046515, LR: 0.001
[2025-04-19 11:37:45] (step=0001108) Train Loss: 0.5650, Train Steps/Sec: 0.02, Epoch: 3.2209302325581395, LR: 0.001
[2025-04-19 11:37:58] (step=0001832) Train Loss: 1.2996, Train Steps/Sec: 0.03, Epoch: 5.325581395348837, LR: 0.001
[2025-04-19 11:38:28] (step=0001833) Train Loss: 1.3860, Train Steps/Sec: 0.03, Epoch: 5.328488372093023, LR: 0.001
[2025-04-19 11:38:33] (step=0001109) Train Loss: 0.4917, Train Steps/Sec: 0.02, Epoch: 3.2238372093023258, LR: 0.001
[2025-04-19 11:38:58] (step=0001834) Train Loss: 1.3592, Train Steps/Sec: 0.03, Epoch: 5.3313953488372094, LR: 0.001
[2025-04-19 11:39:21] (step=0001110) Train Loss: 0.6860, Train Steps/Sec: 0.02, Epoch: 3.2267441860465116, LR: 0.001
[2025-04-19 11:39:27] (step=0001835) Train Loss: 1.3511, Train Steps/Sec: 0.03, Epoch: 5.334302325581396, LR: 0.001
[2025-04-19 11:39:57] (step=0001836) Train Loss: 1.3571, Train Steps/Sec: 0.03, Epoch: 5.337209302325581, LR: 0.001
[2025-04-19 11:40:10] (step=0001111) Train Loss: 0.6181, Train Steps/Sec: 0.02, Epoch: 3.229651162790698, LR: 0.001
[2025-04-19 11:40:26] (step=0001837) Train Loss: 1.3496, Train Steps/Sec: 0.03, Epoch: 5.340116279069767, LR: 0.001
[2025-04-19 11:40:56] (step=0001838) Train Loss: 1.3767, Train Steps/Sec: 0.03, Epoch: 5.343023255813954, LR: 0.001
[2025-04-19 11:40:58] (step=0001112) Train Loss: 0.6347, Train Steps/Sec: 0.02, Epoch: 3.2325581395348837, LR: 0.001
[2025-04-19 11:41:26] (step=0001839) Train Loss: 1.3998, Train Steps/Sec: 0.03, Epoch: 5.34593023255814, LR: 0.001
[2025-04-19 11:41:46] (step=0001113) Train Loss: 0.5240, Train Steps/Sec: 0.02, Epoch: 3.23546511627907, LR: 0.001
[2025-04-19 11:41:55] (step=0001840) Train Loss: 1.3157, Train Steps/Sec: 0.03, Epoch: 5.348837209302325, LR: 0.001
[2025-04-19 11:42:25] (step=0001841) Train Loss: 1.3249, Train Steps/Sec: 0.03, Epoch: 5.351744186046512, LR: 0.001
[2025-04-19 11:42:35] (step=0001114) Train Loss: 0.6493, Train Steps/Sec: 0.02, Epoch: 3.238372093023256, LR: 0.001
[2025-04-19 11:42:55] (step=0001842) Train Loss: 1.3164, Train Steps/Sec: 0.03, Epoch: 5.354651162790698, LR: 0.001
[2025-04-19 11:43:23] (step=0001115) Train Loss: 0.7547, Train Steps/Sec: 0.02, Epoch: 3.241279069767442, LR: 0.001
[2025-04-19 11:43:25] (step=0001843) Train Loss: 1.3732, Train Steps/Sec: 0.03, Epoch: 5.357558139534884, LR: 0.001
[2025-04-19 11:43:54] (step=0001844) Train Loss: 1.3190, Train Steps/Sec: 0.03, Epoch: 5.3604651162790695, LR: 0.001
[2025-04-19 11:44:11] (step=0001116) Train Loss: 0.3781, Train Steps/Sec: 0.02, Epoch: 3.244186046511628, LR: 0.001
[2025-04-19 11:44:24] (step=0001845) Train Loss: 1.3230, Train Steps/Sec: 0.03, Epoch: 5.363372093023256, LR: 0.001
[2025-04-19 11:44:54] (step=0001846) Train Loss: 1.3115, Train Steps/Sec: 0.03, Epoch: 5.366279069767442, LR: 0.001
[2025-04-19 11:45:00] (step=0001117) Train Loss: 0.5645, Train Steps/Sec: 0.02, Epoch: 3.247093023255814, LR: 0.001
[2025-04-19 11:45:24] (step=0001847) Train Loss: 1.3054, Train Steps/Sec: 0.03, Epoch: 5.369186046511628, LR: 0.001
[2025-04-19 11:45:48] (step=0001118) Train Loss: 0.8108, Train Steps/Sec: 0.02, Epoch: 3.25, LR: 0.001
[2025-04-19 11:45:53] (step=0001848) Train Loss: 1.4091, Train Steps/Sec: 0.03, Epoch: 5.372093023255814, LR: 0.001
[2025-04-19 11:46:22] (step=0001849) Train Loss: 1.3139, Train Steps/Sec: 0.03, Epoch: 5.375, LR: 0.001
[2025-04-19 11:46:36] (step=0001119) Train Loss: 0.5087, Train Steps/Sec: 0.02, Epoch: 3.252906976744186, LR: 0.001
[2025-04-19 11:46:52] (step=0001850) Train Loss: 1.3597, Train Steps/Sec: 0.03, Epoch: 5.377906976744186, LR: 0.001
[2025-04-19 11:47:21] (step=0001851) Train Loss: 1.3876, Train Steps/Sec: 0.03, Epoch: 5.380813953488372, LR: 0.001
[2025-04-19 11:47:24] (step=0001120) Train Loss: 0.7662, Train Steps/Sec: 0.02, Epoch: 3.255813953488372, LR: 0.001
[2025-04-19 11:47:43] (step=0001121) Train Loss: 0.8821, Train Steps/Sec: 0.05, Epoch: 3.258720930232558, LR: 0.001
[2025-04-19 11:47:51] (step=0001852) Train Loss: 1.3326, Train Steps/Sec: 0.03, Epoch: 5.383720930232558, LR: 0.001
[2025-04-19 11:48:21] (step=0001853) Train Loss: 1.3618, Train Steps/Sec: 0.03, Epoch: 5.386627906976744, LR: 0.001
[2025-04-19 11:48:31] (step=0001122) Train Loss: 0.8611, Train Steps/Sec: 0.02, Epoch: 3.261627906976744, LR: 0.001
[2025-04-19 11:48:50] (step=0001854) Train Loss: 1.4408, Train Steps/Sec: 0.03, Epoch: 5.3895348837209305, LR: 0.001
[2025-04-19 11:49:20] (step=0001123) Train Loss: 0.5256, Train Steps/Sec: 0.02, Epoch: 3.26453488372093, LR: 0.001
[2025-04-19 11:49:20] (step=0001855) Train Loss: 1.3021, Train Steps/Sec: 0.03, Epoch: 5.392441860465116, LR: 0.001
[2025-04-19 11:49:50] (step=0001856) Train Loss: 1.3419, Train Steps/Sec: 0.03, Epoch: 5.395348837209302, LR: 0.001
[2025-04-19 11:50:08] (step=0001124) Train Loss: 0.8551, Train Steps/Sec: 0.02, Epoch: 3.2674418604651163, LR: 0.001
[2025-04-19 11:50:19] (step=0001857) Train Loss: 1.3967, Train Steps/Sec: 0.03, Epoch: 5.398255813953488, LR: 0.001
[2025-04-19 11:50:49] (step=0001858) Train Loss: 1.3540, Train Steps/Sec: 0.03, Epoch: 5.401162790697675, LR: 0.001
[2025-04-19 11:50:56] (step=0001125) Train Loss: 0.7951, Train Steps/Sec: 0.02, Epoch: 3.270348837209302, LR: 0.001
[2025-04-19 11:51:18] (step=0001859) Train Loss: 1.3201, Train Steps/Sec: 0.03, Epoch: 5.40406976744186, LR: 0.001
[2025-04-19 11:51:45] (step=0001126) Train Loss: 0.8136, Train Steps/Sec: 0.02, Epoch: 3.2732558139534884, LR: 0.001
[2025-04-19 11:51:48] (step=0001860) Train Loss: 1.3215, Train Steps/Sec: 0.03, Epoch: 5.406976744186046, LR: 0.001
[2025-04-19 11:52:18] (step=0001861) Train Loss: 1.3284, Train Steps/Sec: 0.03, Epoch: 5.409883720930233, LR: 0.001
[2025-04-19 11:52:33] (step=0001127) Train Loss: 0.8248, Train Steps/Sec: 0.02, Epoch: 3.2761627906976742, LR: 0.001
[2025-04-19 11:52:47] (step=0001862) Train Loss: 1.3894, Train Steps/Sec: 0.03, Epoch: 5.412790697674419, LR: 0.001
[2025-04-19 11:53:17] (step=0001863) Train Loss: 1.3952, Train Steps/Sec: 0.03, Epoch: 5.415697674418604, LR: 0.001
[2025-04-19 11:53:21] (step=0001128) Train Loss: 0.8716, Train Steps/Sec: 0.02, Epoch: 3.2790697674418605, LR: 0.001
[2025-04-19 11:53:47] (step=0001864) Train Loss: 1.3897, Train Steps/Sec: 0.03, Epoch: 5.4186046511627906, LR: 0.001
[2025-04-19 11:54:10] (step=0001129) Train Loss: 0.8596, Train Steps/Sec: 0.02, Epoch: 3.2819767441860463, LR: 0.001
[2025-04-19 11:54:16] (step=0001865) Train Loss: 1.3883, Train Steps/Sec: 0.03, Epoch: 5.421511627906977, LR: 0.001
[2025-04-19 11:54:46] (step=0001866) Train Loss: 1.3945, Train Steps/Sec: 0.03, Epoch: 5.424418604651163, LR: 0.001
[2025-04-19 11:54:58] (step=0001130) Train Loss: 0.5713, Train Steps/Sec: 0.02, Epoch: 3.2848837209302326, LR: 0.001
[2025-04-19 11:55:16] (step=0001867) Train Loss: 1.3494, Train Steps/Sec: 0.03, Epoch: 5.4273255813953485, LR: 0.001
[2025-04-19 11:55:45] (step=0001868) Train Loss: 1.3876, Train Steps/Sec: 0.03, Epoch: 5.430232558139535, LR: 0.001
[2025-04-19 11:55:46] (step=0001131) Train Loss: 0.8156, Train Steps/Sec: 0.02, Epoch: 3.2877906976744184, LR: 0.001
[2025-04-19 11:56:15] (step=0001869) Train Loss: 1.4047, Train Steps/Sec: 0.03, Epoch: 5.433139534883721, LR: 0.001
[2025-04-19 11:56:35] (step=0001132) Train Loss: 0.7056, Train Steps/Sec: 0.02, Epoch: 3.2906976744186047, LR: 0.001
[2025-04-19 11:56:45] (step=0001870) Train Loss: 1.3223, Train Steps/Sec: 0.03, Epoch: 5.436046511627907, LR: 0.001
[2025-04-19 11:57:15] (step=0001871) Train Loss: 1.3313, Train Steps/Sec: 0.03, Epoch: 5.438953488372093, LR: 0.001
[2025-04-19 11:57:23] (step=0001133) Train Loss: 0.5528, Train Steps/Sec: 0.02, Epoch: 3.2936046511627906, LR: 0.001
[2025-04-19 11:57:44] (step=0001872) Train Loss: 1.3240, Train Steps/Sec: 0.03, Epoch: 5.441860465116279, LR: 0.001
[2025-04-19 11:58:11] (step=0001134) Train Loss: 0.8478, Train Steps/Sec: 0.02, Epoch: 3.296511627906977, LR: 0.001
[2025-04-19 11:58:14] (step=0001873) Train Loss: 1.3471, Train Steps/Sec: 0.03, Epoch: 5.444767441860465, LR: 0.001
[2025-04-19 11:58:43] (step=0001874) Train Loss: 1.4130, Train Steps/Sec: 0.03, Epoch: 5.4476744186046515, LR: 0.001
[2025-04-19 11:59:00] (step=0001135) Train Loss: 0.7249, Train Steps/Sec: 0.02, Epoch: 3.2994186046511627, LR: 0.001
[2025-04-19 11:59:13] (step=0001875) Train Loss: 1.3699, Train Steps/Sec: 0.03, Epoch: 5.450581395348837, LR: 0.001
[2025-04-19 11:59:42] (step=0001876) Train Loss: 1.3594, Train Steps/Sec: 0.03, Epoch: 5.453488372093023, LR: 0.001
[2025-04-19 11:59:48] (step=0001136) Train Loss: 0.3588, Train Steps/Sec: 0.02, Epoch: 3.302325581395349, LR: 0.001
[2025-04-19 12:00:12] (step=0001877) Train Loss: 1.3690, Train Steps/Sec: 0.03, Epoch: 5.4563953488372094, LR: 0.001
[2025-04-19 12:00:37] (step=0001137) Train Loss: 0.4104, Train Steps/Sec: 0.02, Epoch: 3.3052325581395348, LR: 0.001
[2025-04-19 12:00:42] (step=0001878) Train Loss: 1.3280, Train Steps/Sec: 0.03, Epoch: 5.459302325581396, LR: 0.001
[2025-04-19 12:01:11] (step=0001879) Train Loss: 1.3738, Train Steps/Sec: 0.03, Epoch: 5.462209302325581, LR: 0.001
[2025-04-19 12:01:25] (step=0001138) Train Loss: 0.6833, Train Steps/Sec: 0.02, Epoch: 3.308139534883721, LR: 0.001
[2025-04-19 12:01:41] (step=0001880) Train Loss: 1.3468, Train Steps/Sec: 0.03, Epoch: 5.465116279069767, LR: 0.001
[2025-04-19 12:02:10] (step=0001881) Train Loss: 1.3958, Train Steps/Sec: 0.03, Epoch: 5.468023255813954, LR: 0.001
[2025-04-19 12:02:13] (step=0001139) Train Loss: 0.8412, Train Steps/Sec: 0.02, Epoch: 3.311046511627907, LR: 0.001
[2025-04-19 12:02:40] (step=0001882) Train Loss: 1.3206, Train Steps/Sec: 0.03, Epoch: 5.47093023255814, LR: 0.001
[2025-04-19 12:03:02] (step=0001140) Train Loss: 0.7837, Train Steps/Sec: 0.02, Epoch: 3.313953488372093, LR: 0.001
[2025-04-19 12:03:09] (step=0001883) Train Loss: 1.3651, Train Steps/Sec: 0.03, Epoch: 5.473837209302325, LR: 0.001
[2025-04-19 12:03:39] (step=0001884) Train Loss: 1.3602, Train Steps/Sec: 0.03, Epoch: 5.476744186046512, LR: 0.001
[2025-04-19 12:03:50] (step=0001141) Train Loss: 0.7923, Train Steps/Sec: 0.02, Epoch: 3.316860465116279, LR: 0.001
[2025-04-19 12:04:09] (step=0001885) Train Loss: 1.3784, Train Steps/Sec: 0.03, Epoch: 5.479651162790698, LR: 0.001
[2025-04-19 12:04:38] (step=0001886) Train Loss: 1.3579, Train Steps/Sec: 0.03, Epoch: 5.482558139534884, LR: 0.001
[2025-04-19 12:04:39] (step=0001142) Train Loss: 0.5759, Train Steps/Sec: 0.02, Epoch: 3.3197674418604652, LR: 0.001
[2025-04-19 12:05:08] (step=0001887) Train Loss: 1.3225, Train Steps/Sec: 0.03, Epoch: 5.4854651162790695, LR: 0.001
[2025-04-19 12:05:27] (step=0001143) Train Loss: 0.4580, Train Steps/Sec: 0.02, Epoch: 3.322674418604651, LR: 0.001
[2025-04-19 12:05:38] (step=0001888) Train Loss: 1.3382, Train Steps/Sec: 0.03, Epoch: 5.488372093023256, LR: 0.001
[2025-04-19 12:06:07] (step=0001889) Train Loss: 1.3650, Train Steps/Sec: 0.03, Epoch: 5.491279069767442, LR: 0.001
[2025-04-19 12:06:15] (step=0001144) Train Loss: 0.6249, Train Steps/Sec: 0.02, Epoch: 3.3255813953488373, LR: 0.001
[2025-04-19 12:06:37] (step=0001890) Train Loss: 1.3541, Train Steps/Sec: 0.03, Epoch: 5.494186046511628, LR: 0.001
[2025-04-19 12:07:03] (step=0001145) Train Loss: 0.5130, Train Steps/Sec: 0.02, Epoch: 3.328488372093023, LR: 0.001
[2025-04-19 12:07:06] (step=0001891) Train Loss: 1.3543, Train Steps/Sec: 0.03, Epoch: 5.497093023255814, LR: 0.001
[2025-04-19 12:07:36] (step=0001892) Train Loss: 1.3668, Train Steps/Sec: 0.03, Epoch: 5.5, LR: 0.001
[2025-04-19 12:07:51] (step=0001146) Train Loss: 0.6019, Train Steps/Sec: 0.02, Epoch: 3.3313953488372094, LR: 0.001
[2025-04-19 12:08:06] (step=0001893) Train Loss: 1.3414, Train Steps/Sec: 0.03, Epoch: 5.502906976744186, LR: 0.001
[2025-04-19 12:08:35] (step=0001894) Train Loss: 1.3373, Train Steps/Sec: 0.03, Epoch: 5.505813953488372, LR: 0.001
[2025-04-19 12:08:40] (step=0001147) Train Loss: 0.3905, Train Steps/Sec: 0.02, Epoch: 3.3343023255813953, LR: 0.001
[2025-04-19 12:09:04] (step=0001895) Train Loss: 1.3380, Train Steps/Sec: 0.03, Epoch: 5.508720930232558, LR: 0.001
[2025-04-19 12:09:28] (step=0001148) Train Loss: 0.7377, Train Steps/Sec: 0.02, Epoch: 3.3372093023255816, LR: 0.001
[2025-04-19 12:09:34] (step=0001896) Train Loss: 1.3242, Train Steps/Sec: 0.03, Epoch: 5.511627906976744, LR: 0.001
[2025-04-19 12:10:04] (step=0001897) Train Loss: 1.3191, Train Steps/Sec: 0.03, Epoch: 5.5145348837209305, LR: 0.001
[2025-04-19 12:10:17] (step=0001149) Train Loss: 0.8731, Train Steps/Sec: 0.02, Epoch: 3.3401162790697674, LR: 0.001
[2025-04-19 12:10:34] (step=0001898) Train Loss: 1.3196, Train Steps/Sec: 0.03, Epoch: 5.517441860465116, LR: 0.001
[2025-04-19 12:11:03] (step=0001899) Train Loss: 1.3497, Train Steps/Sec: 0.03, Epoch: 5.520348837209302, LR: 0.001
[2025-04-19 12:11:05] (step=0001150) Train Loss: 0.6760, Train Steps/Sec: 0.02, Epoch: 3.3430232558139537, LR: 0.001
[2025-04-19 12:11:33] (step=0001900) Train Loss: 1.3660, Train Steps/Sec: 0.03, Epoch: 5.523255813953488, LR: 0.001
[2025-04-19 12:11:54] (step=0001151) Train Loss: 0.6767, Train Steps/Sec: 0.02, Epoch: 3.3459302325581395, LR: 0.001
[2025-04-19 12:12:03] (step=0001901) Train Loss: 1.3639, Train Steps/Sec: 0.03, Epoch: 5.526162790697675, LR: 0.001
[2025-04-19 12:12:32] (step=0001902) Train Loss: 1.3467, Train Steps/Sec: 0.03, Epoch: 5.52906976744186, LR: 0.001
[2025-04-19 12:12:42] (step=0001152) Train Loss: 0.7820, Train Steps/Sec: 0.02, Epoch: 3.3488372093023258, LR: 0.001
[2025-04-19 12:13:02] (step=0001903) Train Loss: 1.3427, Train Steps/Sec: 0.03, Epoch: 5.531976744186046, LR: 0.001
[2025-04-19 12:13:30] (step=0001153) Train Loss: 0.8205, Train Steps/Sec: 0.02, Epoch: 3.3517441860465116, LR: 0.001
[2025-04-19 12:13:31] (step=0001904) Train Loss: 1.3152, Train Steps/Sec: 0.03, Epoch: 5.534883720930233, LR: 0.001
[2025-04-19 12:14:00] (step=0001905) Train Loss: 1.4013, Train Steps/Sec: 0.03, Epoch: 5.537790697674419, LR: 0.001
[2025-04-19 12:14:18] (step=0001154) Train Loss: 0.7557, Train Steps/Sec: 0.02, Epoch: 3.354651162790698, LR: 0.001
[2025-04-19 12:14:30] (step=0001906) Train Loss: 1.4086, Train Steps/Sec: 0.03, Epoch: 5.540697674418604, LR: 0.001
[2025-04-19 12:15:00] (step=0001907) Train Loss: 1.3304, Train Steps/Sec: 0.03, Epoch: 5.5436046511627906, LR: 0.001
[2025-04-19 12:15:06] (step=0001155) Train Loss: 0.7007, Train Steps/Sec: 0.02, Epoch: 3.3575581395348837, LR: 0.001
[2025-04-19 12:15:29] (step=0001908) Train Loss: 1.4256, Train Steps/Sec: 0.03, Epoch: 5.546511627906977, LR: 0.001
[2025-04-19 12:15:54] (step=0001156) Train Loss: 0.6475, Train Steps/Sec: 0.02, Epoch: 3.36046511627907, LR: 0.001
[2025-04-19 12:15:59] (step=0001909) Train Loss: 1.2927, Train Steps/Sec: 0.03, Epoch: 5.549418604651163, LR: 0.001
[2025-04-19 12:16:28] (step=0001910) Train Loss: 1.3649, Train Steps/Sec: 0.03, Epoch: 5.5523255813953485, LR: 0.001
[2025-04-19 12:16:43] (step=0001157) Train Loss: 0.6692, Train Steps/Sec: 0.02, Epoch: 3.363372093023256, LR: 0.001
[2025-04-19 12:16:58] (step=0001911) Train Loss: 1.3499, Train Steps/Sec: 0.03, Epoch: 5.555232558139535, LR: 0.001
[2025-04-19 12:17:27] (step=0001912) Train Loss: 1.3348, Train Steps/Sec: 0.03, Epoch: 5.558139534883721, LR: 0.001
[2025-04-19 12:17:31] (step=0001158) Train Loss: 0.6727, Train Steps/Sec: 0.02, Epoch: 3.366279069767442, LR: 0.001
[2025-04-19 12:17:57] (step=0001913) Train Loss: 1.3478, Train Steps/Sec: 0.03, Epoch: 5.561046511627907, LR: 0.001
[2025-04-19 12:18:19] (step=0001159) Train Loss: 0.4369, Train Steps/Sec: 0.02, Epoch: 3.369186046511628, LR: 0.001
[2025-04-19 12:18:26] (step=0001914) Train Loss: 1.3136, Train Steps/Sec: 0.03, Epoch: 5.563953488372093, LR: 0.001
[2025-04-19 12:18:56] (step=0001915) Train Loss: 1.3292, Train Steps/Sec: 0.03, Epoch: 5.566860465116279, LR: 0.001
[2025-04-19 12:19:07] (step=0001160) Train Loss: 0.7278, Train Steps/Sec: 0.02, Epoch: 3.372093023255814, LR: 0.001
[2025-04-19 12:19:25] (step=0001916) Train Loss: 1.3556, Train Steps/Sec: 0.03, Epoch: 5.569767441860465, LR: 0.001
[2025-04-19 12:19:55] (step=0001917) Train Loss: 1.4294, Train Steps/Sec: 0.03, Epoch: 5.5726744186046515, LR: 0.001
[2025-04-19 12:19:55] (step=0001161) Train Loss: 0.3948, Train Steps/Sec: 0.02, Epoch: 3.375, LR: 0.001
[2025-04-19 12:20:24] (step=0001918) Train Loss: 1.3660, Train Steps/Sec: 0.03, Epoch: 5.575581395348837, LR: 0.001
[2025-04-19 12:20:44] (step=0001162) Train Loss: 0.7553, Train Steps/Sec: 0.02, Epoch: 3.377906976744186, LR: 0.001
[2025-04-19 12:20:54] (step=0001919) Train Loss: 1.3054, Train Steps/Sec: 0.03, Epoch: 5.578488372093023, LR: 0.001
[2025-04-19 12:21:23] (step=0001920) Train Loss: 1.3800, Train Steps/Sec: 0.03, Epoch: 5.5813953488372094, LR: 0.001
[2025-04-19 12:21:32] (step=0001163) Train Loss: 0.7866, Train Steps/Sec: 0.02, Epoch: 3.380813953488372, LR: 0.001
[2025-04-19 12:21:52] (step=0001921) Train Loss: 1.2792, Train Steps/Sec: 0.03, Epoch: 5.584302325581396, LR: 0.001
[2025-04-19 12:22:20] (step=0001164) Train Loss: 0.7895, Train Steps/Sec: 0.02, Epoch: 3.383720930232558, LR: 0.001
[2025-04-19 12:22:22] (step=0001922) Train Loss: 1.3408, Train Steps/Sec: 0.03, Epoch: 5.587209302325581, LR: 0.001
[2025-04-19 12:22:51] (step=0001923) Train Loss: 1.4384, Train Steps/Sec: 0.03, Epoch: 5.590116279069767, LR: 0.001
[2025-04-19 12:23:08] (step=0001165) Train Loss: 0.7286, Train Steps/Sec: 0.02, Epoch: 3.386627906976744, LR: 0.001
[2025-04-19 12:23:21] (step=0001924) Train Loss: 1.4032, Train Steps/Sec: 0.03, Epoch: 5.593023255813954, LR: 0.001
[2025-04-19 12:23:50] (step=0001925) Train Loss: 1.2882, Train Steps/Sec: 0.03, Epoch: 5.59593023255814, LR: 0.001
[2025-04-19 12:23:56] (step=0001166) Train Loss: 0.4508, Train Steps/Sec: 0.02, Epoch: 3.38953488372093, LR: 0.001
[2025-04-19 12:24:20] (step=0001926) Train Loss: 1.3312, Train Steps/Sec: 0.03, Epoch: 5.598837209302325, LR: 0.001
[2025-04-19 12:24:44] (step=0001167) Train Loss: 0.7075, Train Steps/Sec: 0.02, Epoch: 3.3924418604651163, LR: 0.001
[2025-04-19 12:24:49] (step=0001927) Train Loss: 1.2863, Train Steps/Sec: 0.03, Epoch: 5.601744186046512, LR: 0.001
[2025-04-19 12:25:19] (step=0001928) Train Loss: 1.3159, Train Steps/Sec: 0.03, Epoch: 5.604651162790698, LR: 0.001
[2025-04-19 12:25:32] (step=0001168) Train Loss: 0.6434, Train Steps/Sec: 0.02, Epoch: 3.395348837209302, LR: 0.001
[2025-04-19 12:25:49] (step=0001929) Train Loss: 1.3447, Train Steps/Sec: 0.03, Epoch: 5.607558139534884, LR: 0.001
[2025-04-19 12:26:18] (step=0001930) Train Loss: 1.3690, Train Steps/Sec: 0.03, Epoch: 5.6104651162790695, LR: 0.001
[2025-04-19 12:26:21] (step=0001169) Train Loss: 0.4557, Train Steps/Sec: 0.02, Epoch: 3.3982558139534884, LR: 0.001
[2025-04-19 12:26:48] (step=0001931) Train Loss: 1.3168, Train Steps/Sec: 0.03, Epoch: 5.613372093023256, LR: 0.001
[2025-04-19 12:27:09] (step=0001170) Train Loss: 0.6258, Train Steps/Sec: 0.02, Epoch: 3.4011627906976742, LR: 0.001
[2025-04-19 12:27:17] (step=0001932) Train Loss: 1.2871, Train Steps/Sec: 0.03, Epoch: 5.616279069767442, LR: 0.001
[2025-04-19 12:27:47] (step=0001933) Train Loss: 1.3419, Train Steps/Sec: 0.03, Epoch: 5.619186046511628, LR: 0.001
[2025-04-19 12:27:58] (step=0001171) Train Loss: 0.7662, Train Steps/Sec: 0.02, Epoch: 3.4040697674418605, LR: 0.001
[2025-04-19 12:28:16] (step=0001934) Train Loss: 1.2758, Train Steps/Sec: 0.03, Epoch: 5.622093023255814, LR: 0.001
[2025-04-19 12:28:46] (step=0001172) Train Loss: 0.8556, Train Steps/Sec: 0.02, Epoch: 3.4069767441860463, LR: 0.001
[2025-04-19 12:28:46] (step=0001935) Train Loss: 1.3079, Train Steps/Sec: 0.03, Epoch: 5.625, LR: 0.001
[2025-04-19 12:29:16] (step=0001936) Train Loss: 1.3667, Train Steps/Sec: 0.03, Epoch: 5.627906976744186, LR: 0.001
[2025-04-19 12:29:34] (step=0001173) Train Loss: 0.6100, Train Steps/Sec: 0.02, Epoch: 3.4098837209302326, LR: 0.001
[2025-04-19 12:29:45] (step=0001937) Train Loss: 1.4083, Train Steps/Sec: 0.03, Epoch: 5.630813953488372, LR: 0.001
[2025-04-19 12:30:15] (step=0001938) Train Loss: 1.3693, Train Steps/Sec: 0.03, Epoch: 5.633720930232558, LR: 0.001
[2025-04-19 12:30:22] (step=0001174) Train Loss: 0.8159, Train Steps/Sec: 0.02, Epoch: 3.4127906976744184, LR: 0.001
[2025-04-19 12:30:45] (step=0001939) Train Loss: 1.2837, Train Steps/Sec: 0.03, Epoch: 5.636627906976744, LR: 0.001
[2025-04-19 12:31:11] (step=0001175) Train Loss: 0.8405, Train Steps/Sec: 0.02, Epoch: 3.4156976744186047, LR: 0.001
[2025-04-19 12:31:14] (step=0001940) Train Loss: 1.3335, Train Steps/Sec: 0.03, Epoch: 5.6395348837209305, LR: 0.001
[2025-04-19 12:31:44] (step=0001941) Train Loss: 1.3682, Train Steps/Sec: 0.03, Epoch: 5.642441860465116, LR: 0.001
[2025-04-19 12:31:59] (step=0001176) Train Loss: 0.6584, Train Steps/Sec: 0.02, Epoch: 3.4186046511627906, LR: 0.001
[2025-04-19 12:32:14] (step=0001942) Train Loss: 1.3165, Train Steps/Sec: 0.03, Epoch: 5.645348837209302, LR: 0.001
[2025-04-19 12:32:43] (step=0001943) Train Loss: 1.3027, Train Steps/Sec: 0.03, Epoch: 5.648255813953488, LR: 0.001
[2025-04-19 12:32:47] (step=0001177) Train Loss: 0.5767, Train Steps/Sec: 0.02, Epoch: 3.421511627906977, LR: 0.001
[2025-04-19 12:33:13] (step=0001944) Train Loss: 1.3195, Train Steps/Sec: 0.03, Epoch: 5.651162790697675, LR: 0.001
[2025-04-19 12:33:35] (step=0001178) Train Loss: 0.8026, Train Steps/Sec: 0.02, Epoch: 3.4244186046511627, LR: 0.001
[2025-04-19 12:33:42] (step=0001945) Train Loss: 1.3666, Train Steps/Sec: 0.03, Epoch: 5.65406976744186, LR: 0.001
[2025-04-19 12:34:12] (step=0001946) Train Loss: 1.3890, Train Steps/Sec: 0.03, Epoch: 5.656976744186046, LR: 0.001
[2025-04-19 12:34:24] (step=0001179) Train Loss: 0.7371, Train Steps/Sec: 0.02, Epoch: 3.427325581395349, LR: 0.001
[2025-04-19 12:34:42] (step=0001947) Train Loss: 1.3001, Train Steps/Sec: 0.03, Epoch: 5.659883720930233, LR: 0.001
[2025-04-19 12:35:11] (step=0001948) Train Loss: 1.3295, Train Steps/Sec: 0.03, Epoch: 5.662790697674419, LR: 0.001
[2025-04-19 12:35:12] (step=0001180) Train Loss: 0.6041, Train Steps/Sec: 0.02, Epoch: 3.4302325581395348, LR: 0.001
[2025-04-19 12:35:41] (step=0001949) Train Loss: 1.3562, Train Steps/Sec: 0.03, Epoch: 5.665697674418604, LR: 0.001
[2025-04-19 12:36:00] (step=0001181) Train Loss: 0.7760, Train Steps/Sec: 0.02, Epoch: 3.433139534883721, LR: 0.001
[2025-04-19 12:36:10] (step=0001950) Train Loss: 1.3444, Train Steps/Sec: 0.03, Epoch: 5.6686046511627906, LR: 0.001
[2025-04-19 12:36:40] (step=0001951) Train Loss: 1.2948, Train Steps/Sec: 0.03, Epoch: 5.671511627906977, LR: 0.001
[2025-04-19 12:36:48] (step=0001182) Train Loss: 0.5898, Train Steps/Sec: 0.02, Epoch: 3.436046511627907, LR: 0.001
[2025-04-19 12:37:10] (step=0001952) Train Loss: 1.3061, Train Steps/Sec: 0.03, Epoch: 5.674418604651163, LR: 0.001
[2025-04-19 12:37:37] (step=0001183) Train Loss: 0.4209, Train Steps/Sec: 0.02, Epoch: 3.438953488372093, LR: 0.001
[2025-04-19 12:37:39] (step=0001953) Train Loss: 1.3068, Train Steps/Sec: 0.03, Epoch: 5.6773255813953485, LR: 0.001
[2025-04-19 12:38:09] (step=0001954) Train Loss: 1.3251, Train Steps/Sec: 0.03, Epoch: 5.680232558139535, LR: 0.001
[2025-04-19 12:38:25] (step=0001184) Train Loss: 0.8286, Train Steps/Sec: 0.02, Epoch: 3.441860465116279, LR: 0.001
[2025-04-19 12:38:38] (step=0001955) Train Loss: 1.2625, Train Steps/Sec: 0.03, Epoch: 5.683139534883721, LR: 0.001
[2025-04-19 12:39:08] (step=0001956) Train Loss: 1.2668, Train Steps/Sec: 0.03, Epoch: 5.686046511627907, LR: 0.001
[2025-04-19 12:39:13] (step=0001185) Train Loss: 0.6600, Train Steps/Sec: 0.02, Epoch: 3.4447674418604652, LR: 0.001
[2025-04-19 12:39:37] (step=0001957) Train Loss: 1.3531, Train Steps/Sec: 0.03, Epoch: 5.688953488372093, LR: 0.001
[2025-04-19 12:40:01] (step=0001186) Train Loss: 0.8053, Train Steps/Sec: 0.02, Epoch: 3.447674418604651, LR: 0.001
[2025-04-19 12:40:07] (step=0001958) Train Loss: 1.3281, Train Steps/Sec: 0.03, Epoch: 5.691860465116279, LR: 0.001
[2025-04-19 12:40:37] (step=0001959) Train Loss: 1.3847, Train Steps/Sec: 0.03, Epoch: 5.694767441860465, LR: 0.001
[2025-04-19 12:40:49] (step=0001187) Train Loss: 0.6078, Train Steps/Sec: 0.02, Epoch: 3.4505813953488373, LR: 0.001
[2025-04-19 12:41:07] (step=0001960) Train Loss: 1.3264, Train Steps/Sec: 0.03, Epoch: 5.6976744186046515, LR: 0.001
[2025-04-19 12:41:36] (step=0001961) Train Loss: 1.3056, Train Steps/Sec: 0.03, Epoch: 5.700581395348837, LR: 0.001
[2025-04-19 12:41:37] (step=0001188) Train Loss: 0.7162, Train Steps/Sec: 0.02, Epoch: 3.453488372093023, LR: 0.001
[2025-04-19 12:42:05] (step=0001962) Train Loss: 1.3050, Train Steps/Sec: 0.03, Epoch: 5.703488372093023, LR: 0.001
[2025-04-19 12:42:26] (step=0001189) Train Loss: 0.8807, Train Steps/Sec: 0.02, Epoch: 3.4563953488372094, LR: 0.001
[2025-04-19 12:42:35] (step=0001963) Train Loss: 1.3171, Train Steps/Sec: 0.03, Epoch: 5.7063953488372094, LR: 0.001
[2025-04-19 12:43:05] (step=0001964) Train Loss: 1.2924, Train Steps/Sec: 0.03, Epoch: 5.709302325581396, LR: 0.001
[2025-04-19 12:43:14] (step=0001190) Train Loss: 0.7560, Train Steps/Sec: 0.02, Epoch: 3.4593023255813953, LR: 0.001
[2025-04-19 12:43:34] (step=0001965) Train Loss: 1.3042, Train Steps/Sec: 0.03, Epoch: 5.712209302325581, LR: 0.001
[2025-04-19 12:44:03] (step=0001191) Train Loss: 0.7909, Train Steps/Sec: 0.02, Epoch: 3.4622093023255816, LR: 0.001
[2025-04-19 12:44:04] (step=0001966) Train Loss: 1.2686, Train Steps/Sec: 0.03, Epoch: 5.715116279069767, LR: 0.001
[2025-04-19 12:44:33] (step=0001967) Train Loss: 1.3696, Train Steps/Sec: 0.03, Epoch: 5.718023255813954, LR: 0.001
[2025-04-19 12:44:51] (step=0001192) Train Loss: 0.5165, Train Steps/Sec: 0.02, Epoch: 3.4651162790697674, LR: 0.001
[2025-04-19 12:45:03] (step=0001968) Train Loss: 1.3067, Train Steps/Sec: 0.03, Epoch: 5.72093023255814, LR: 0.001
[2025-04-19 12:45:33] (step=0001969) Train Loss: 1.3229, Train Steps/Sec: 0.03, Epoch: 5.723837209302325, LR: 0.001
[2025-04-19 12:45:39] (step=0001193) Train Loss: 0.4864, Train Steps/Sec: 0.02, Epoch: 3.4680232558139537, LR: 0.001
[2025-04-19 12:46:02] (step=0001970) Train Loss: 1.3230, Train Steps/Sec: 0.03, Epoch: 5.726744186046512, LR: 0.001
[2025-04-19 12:46:27] (step=0001194) Train Loss: 0.7398, Train Steps/Sec: 0.02, Epoch: 3.4709302325581395, LR: 0.001
[2025-04-19 12:46:32] (step=0001971) Train Loss: 1.3252, Train Steps/Sec: 0.03, Epoch: 5.729651162790698, LR: 0.001
[2025-04-19 12:47:01] (step=0001972) Train Loss: 1.3325, Train Steps/Sec: 0.03, Epoch: 5.732558139534884, LR: 0.001
[2025-04-19 12:47:15] (step=0001195) Train Loss: 0.4887, Train Steps/Sec: 0.02, Epoch: 3.4738372093023258, LR: 0.001
[2025-04-19 12:47:31] (step=0001973) Train Loss: 1.3061, Train Steps/Sec: 0.03, Epoch: 5.7354651162790695, LR: 0.001
[2025-04-19 12:48:00] (step=0001974) Train Loss: 1.2897, Train Steps/Sec: 0.03, Epoch: 5.738372093023256, LR: 0.001
[2025-04-19 12:48:03] (step=0001196) Train Loss: 0.6261, Train Steps/Sec: 0.02, Epoch: 3.4767441860465116, LR: 0.001
[2025-04-19 12:48:30] (step=0001975) Train Loss: 1.2591, Train Steps/Sec: 0.03, Epoch: 5.741279069767442, LR: 0.001
[2025-04-19 12:48:52] (step=0001197) Train Loss: 0.8703, Train Steps/Sec: 0.02, Epoch: 3.479651162790698, LR: 0.001
[2025-04-19 12:49:00] (step=0001976) Train Loss: 1.3612, Train Steps/Sec: 0.03, Epoch: 5.744186046511628, LR: 0.001
[2025-04-19 12:49:29] (step=0001977) Train Loss: 1.3158, Train Steps/Sec: 0.03, Epoch: 5.747093023255814, LR: 0.001
[2025-04-19 12:49:40] (step=0001198) Train Loss: 0.7834, Train Steps/Sec: 0.02, Epoch: 3.4825581395348837, LR: 0.001
[2025-04-19 12:49:59] (step=0001978) Train Loss: 1.2587, Train Steps/Sec: 0.03, Epoch: 5.75, LR: 0.001
[2025-04-19 12:50:28] (step=0001199) Train Loss: 0.6909, Train Steps/Sec: 0.02, Epoch: 3.48546511627907, LR: 0.001
[2025-04-19 12:50:28] (step=0001979) Train Loss: 1.2517, Train Steps/Sec: 0.03, Epoch: 5.752906976744186, LR: 0.001
[2025-04-19 12:50:58] (step=0001980) Train Loss: 1.3424, Train Steps/Sec: 0.03, Epoch: 5.755813953488372, LR: 0.001
[2025-04-19 12:51:16] (step=0001200) Train Loss: 0.8266, Train Steps/Sec: 0.02, Epoch: 3.488372093023256, LR: 0.001
[2025-04-19 12:51:28] (step=0001981) Train Loss: 1.2836, Train Steps/Sec: 0.03, Epoch: 5.758720930232558, LR: 0.001
[2025-04-19 12:51:30] Saved checkpoint to ./results/sfm_based//checkpoints/0001200/
[2025-04-19 12:51:58] (step=0001982) Train Loss: 1.2704, Train Steps/Sec: 0.03, Epoch: 5.761627906976744, LR: 0.001
[2025-04-19 12:52:18] (step=0001201) Train Loss: 0.6018, Train Steps/Sec: 0.02, Epoch: 3.491279069767442, LR: 0.001
[2025-04-19 12:52:27] (step=0001983) Train Loss: 1.3022, Train Steps/Sec: 0.03, Epoch: 5.7645348837209305, LR: 0.001
[2025-04-19 12:52:57] (step=0001984) Train Loss: 1.3192, Train Steps/Sec: 0.03, Epoch: 5.767441860465116, LR: 0.001
[2025-04-19 12:53:06] (step=0001202) Train Loss: 0.7212, Train Steps/Sec: 0.02, Epoch: 3.494186046511628, LR: 0.001
[2025-04-19 12:53:26] (step=0001985) Train Loss: 1.3261, Train Steps/Sec: 0.03, Epoch: 5.770348837209302, LR: 0.001
[2025-04-19 12:53:55] (step=0001203) Train Loss: 0.5466, Train Steps/Sec: 0.02, Epoch: 3.497093023255814, LR: 0.001
[2025-04-19 12:53:56] (step=0001986) Train Loss: 1.2842, Train Steps/Sec: 0.03, Epoch: 5.773255813953488, LR: 0.001
[2025-04-19 12:54:26] (step=0001987) Train Loss: 1.3631, Train Steps/Sec: 0.03, Epoch: 5.776162790697675, LR: 0.001
[2025-04-19 12:54:43] (step=0001204) Train Loss: 0.4280, Train Steps/Sec: 0.02, Epoch: 3.5, LR: 0.001
[2025-04-19 12:54:55] (step=0001988) Train Loss: 1.2688, Train Steps/Sec: 0.03, Epoch: 5.77906976744186, LR: 0.001
[2025-04-19 12:55:25] (step=0001989) Train Loss: 1.2935, Train Steps/Sec: 0.03, Epoch: 5.781976744186046, LR: 0.001
[2025-04-19 12:55:32] (step=0001205) Train Loss: 0.4545, Train Steps/Sec: 0.02, Epoch: 3.502906976744186, LR: 0.001
[2025-04-19 12:55:55] (step=0001990) Train Loss: 1.3245, Train Steps/Sec: 0.03, Epoch: 5.784883720930233, LR: 0.001
[2025-04-19 12:56:20] (step=0001206) Train Loss: 0.4419, Train Steps/Sec: 0.02, Epoch: 3.505813953488372, LR: 0.001
[2025-04-19 12:56:24] (step=0001991) Train Loss: 1.3238, Train Steps/Sec: 0.03, Epoch: 5.787790697674419, LR: 0.001
[2025-04-19 12:56:54] (step=0001992) Train Loss: 1.3553, Train Steps/Sec: 0.03, Epoch: 5.790697674418604, LR: 0.001
[2025-04-19 12:57:08] (step=0001207) Train Loss: 0.5183, Train Steps/Sec: 0.02, Epoch: 3.508720930232558, LR: 0.001
[2025-04-19 12:57:23] (step=0001993) Train Loss: 1.3411, Train Steps/Sec: 0.03, Epoch: 5.7936046511627906, LR: 0.001
[2025-04-19 12:57:53] (step=0001994) Train Loss: 1.2391, Train Steps/Sec: 0.03, Epoch: 5.796511627906977, LR: 0.001
[2025-04-19 12:57:57] (step=0001208) Train Loss: 0.5233, Train Steps/Sec: 0.02, Epoch: 3.511627906976744, LR: 0.001
[2025-04-19 12:58:22] (step=0001995) Train Loss: 1.2607, Train Steps/Sec: 0.03, Epoch: 5.799418604651163, LR: 0.001
[2025-04-19 12:58:45] (step=0001209) Train Loss: 0.5383, Train Steps/Sec: 0.02, Epoch: 3.51453488372093, LR: 0.001
[2025-04-19 12:58:52] (step=0001996) Train Loss: 1.4176, Train Steps/Sec: 0.03, Epoch: 5.8023255813953485, LR: 0.001
[2025-04-19 12:59:21] (step=0001997) Train Loss: 1.3696, Train Steps/Sec: 0.03, Epoch: 5.805232558139535, LR: 0.001
[2025-04-19 12:59:33] (step=0001210) Train Loss: 0.5724, Train Steps/Sec: 0.02, Epoch: 3.5174418604651163, LR: 0.001
[2025-04-19 12:59:51] (step=0001998) Train Loss: 1.2980, Train Steps/Sec: 0.03, Epoch: 5.808139534883721, LR: 0.001
[2025-04-19 13:00:21] (step=0001999) Train Loss: 1.3860, Train Steps/Sec: 0.03, Epoch: 5.811046511627907, LR: 0.001
[2025-04-19 13:00:21] (step=0001211) Train Loss: 0.7480, Train Steps/Sec: 0.02, Epoch: 3.520348837209302, LR: 0.001
[2025-04-19 13:00:50] (step=0002000) Train Loss: 1.3596, Train Steps/Sec: 0.03, Epoch: 5.813953488372093, LR: 0.001
[2025-04-19 13:01:04] Saved checkpoint to ./results/sfm_based//checkpoints/0002000/
[2025-04-19 13:01:09] (step=0001212) Train Loss: 0.6698, Train Steps/Sec: 0.02, Epoch: 3.5232558139534884, LR: 0.001
[2025-04-19 13:01:33] (step=0002001) Train Loss: 1.3117, Train Steps/Sec: 0.02, Epoch: 5.816860465116279, LR: 0.001
[2025-04-19 13:01:57] (step=0001213) Train Loss: 0.8067, Train Steps/Sec: 0.02, Epoch: 3.5261627906976742, LR: 0.001
[2025-04-19 13:02:03] (step=0002002) Train Loss: 1.2915, Train Steps/Sec: 0.03, Epoch: 5.819767441860465, LR: 0.001
[2025-04-19 13:02:32] (step=0002003) Train Loss: 1.3819, Train Steps/Sec: 0.03, Epoch: 5.8226744186046515, LR: 0.001
[2025-04-19 13:02:46] (step=0001214) Train Loss: 0.5595, Train Steps/Sec: 0.02, Epoch: 3.5290697674418605, LR: 0.001
[2025-04-19 13:03:02] (step=0002004) Train Loss: 1.3449, Train Steps/Sec: 0.03, Epoch: 5.825581395348837, LR: 0.001
[2025-04-19 13:03:12] (step=0002005) Train Loss: 1.4624, Train Steps/Sec: 0.10, Epoch: 5.828488372093023, LR: 0.001
[2025-04-19 13:03:34] (step=0001215) Train Loss: 0.4129, Train Steps/Sec: 0.02, Epoch: 3.5319767441860463, LR: 0.001
[2025-04-19 13:03:41] (step=0002006) Train Loss: 1.3424, Train Steps/Sec: 0.03, Epoch: 5.8313953488372094, LR: 0.001
[2025-04-19 13:04:11] (step=0002007) Train Loss: 1.3374, Train Steps/Sec: 0.03, Epoch: 5.834302325581396, LR: 0.001
[2025-04-19 13:04:22] (step=0001216) Train Loss: 0.4130, Train Steps/Sec: 0.02, Epoch: 3.5348837209302326, LR: 0.001
[2025-04-19 13:04:40] (step=0002008) Train Loss: 1.3337, Train Steps/Sec: 0.03, Epoch: 5.837209302325581, LR: 0.001
[2025-04-19 13:05:10] (step=0002009) Train Loss: 1.3427, Train Steps/Sec: 0.03, Epoch: 5.840116279069767, LR: 0.001
[2025-04-19 13:05:11] (step=0001217) Train Loss: 0.7604, Train Steps/Sec: 0.02, Epoch: 3.5377906976744184, LR: 0.001
[2025-04-19 13:05:39] (step=0002010) Train Loss: 1.3521, Train Steps/Sec: 0.03, Epoch: 5.843023255813954, LR: 0.001
[2025-04-19 13:05:59] (step=0001218) Train Loss: 0.4895, Train Steps/Sec: 0.02, Epoch: 3.5406976744186047, LR: 0.001
[2025-04-19 13:06:09] (step=0002011) Train Loss: 1.3565, Train Steps/Sec: 0.03, Epoch: 5.84593023255814, LR: 0.001
[2025-04-19 13:06:38] (step=0002012) Train Loss: 1.3960, Train Steps/Sec: 0.03, Epoch: 5.848837209302325, LR: 0.001
[2025-04-19 13:06:47] (step=0001219) Train Loss: 0.6664, Train Steps/Sec: 0.02, Epoch: 3.5436046511627906, LR: 0.001
[2025-04-19 13:07:07] (step=0002013) Train Loss: 1.3312, Train Steps/Sec: 0.03, Epoch: 5.851744186046512, LR: 0.001
[2025-04-19 13:07:35] (step=0001220) Train Loss: 0.5561, Train Steps/Sec: 0.02, Epoch: 3.546511627906977, LR: 0.001
[2025-04-19 13:07:37] (step=0002014) Train Loss: 1.3230, Train Steps/Sec: 0.03, Epoch: 5.854651162790698, LR: 0.001
[2025-04-19 13:08:06] (step=0002015) Train Loss: 1.3131, Train Steps/Sec: 0.03, Epoch: 5.857558139534884, LR: 0.001
[2025-04-19 13:08:24] (step=0001221) Train Loss: 0.7845, Train Steps/Sec: 0.02, Epoch: 3.5494186046511627, LR: 0.001
[2025-04-19 13:08:36] (step=0002016) Train Loss: 1.3454, Train Steps/Sec: 0.03, Epoch: 5.8604651162790695, LR: 0.001
[2025-04-19 13:09:05] (step=0002017) Train Loss: 1.3297, Train Steps/Sec: 0.03, Epoch: 5.863372093023256, LR: 0.001
[2025-04-19 13:09:12] (step=0001222) Train Loss: 0.7051, Train Steps/Sec: 0.02, Epoch: 3.552325581395349, LR: 0.001
[2025-04-19 13:09:15] (step=0002018) Train Loss: 1.3197, Train Steps/Sec: 0.10, Epoch: 5.866279069767442, LR: 0.001
[2025-04-19 13:09:44] (step=0002019) Train Loss: 1.3235, Train Steps/Sec: 0.03, Epoch: 5.869186046511628, LR: 0.001
[2025-04-19 13:10:00] (step=0001223) Train Loss: 0.6186, Train Steps/Sec: 0.02, Epoch: 3.5552325581395348, LR: 0.001
[2025-04-19 13:10:14] (step=0002020) Train Loss: 1.3591, Train Steps/Sec: 0.03, Epoch: 5.872093023255814, LR: 0.001
[2025-04-19 13:10:44] (step=0002021) Train Loss: 1.3096, Train Steps/Sec: 0.03, Epoch: 5.875, LR: 0.001
[2025-04-19 13:10:48] (step=0001224) Train Loss: 0.6682, Train Steps/Sec: 0.02, Epoch: 3.558139534883721, LR: 0.001
[2025-04-19 13:11:14] (step=0002022) Train Loss: 1.2730, Train Steps/Sec: 0.03, Epoch: 5.877906976744186, LR: 0.001
[2025-04-19 13:11:37] (step=0001225) Train Loss: 0.6639, Train Steps/Sec: 0.02, Epoch: 3.561046511627907, LR: 0.001
[2025-04-19 13:11:43] (step=0002023) Train Loss: 1.3739, Train Steps/Sec: 0.03, Epoch: 5.880813953488372, LR: 0.001
[2025-04-19 13:12:13] (step=0002024) Train Loss: 1.3396, Train Steps/Sec: 0.03, Epoch: 5.883720930232558, LR: 0.001
[2025-04-19 13:12:25] (step=0001226) Train Loss: 0.5185, Train Steps/Sec: 0.02, Epoch: 3.563953488372093, LR: 0.001
[2025-04-19 13:12:43] (step=0002025) Train Loss: 1.2989, Train Steps/Sec: 0.03, Epoch: 5.886627906976744, LR: 0.001
[2025-04-19 13:13:12] (step=0002026) Train Loss: 1.3472, Train Steps/Sec: 0.03, Epoch: 5.8895348837209305, LR: 0.001
[2025-04-19 13:13:13] (step=0001227) Train Loss: 0.7842, Train Steps/Sec: 0.02, Epoch: 3.566860465116279, LR: 0.001
[2025-04-19 13:13:42] (step=0002027) Train Loss: 1.3330, Train Steps/Sec: 0.03, Epoch: 5.892441860465116, LR: 0.001
[2025-04-19 13:14:02] (step=0001228) Train Loss: 0.8561, Train Steps/Sec: 0.02, Epoch: 3.5697674418604652, LR: 0.001
[2025-04-19 13:14:12] (step=0002028) Train Loss: 1.3124, Train Steps/Sec: 0.03, Epoch: 5.895348837209302, LR: 0.001
[2025-04-19 13:14:41] (step=0002029) Train Loss: 1.2482, Train Steps/Sec: 0.03, Epoch: 5.898255813953488, LR: 0.001
[2025-04-19 13:14:50] (step=0001229) Train Loss: 0.5415, Train Steps/Sec: 0.02, Epoch: 3.572674418604651, LR: 0.001
[2025-04-19 13:15:11] (step=0002030) Train Loss: 1.3450, Train Steps/Sec: 0.03, Epoch: 5.901162790697675, LR: 0.001
[2025-04-19 13:15:38] (step=0001230) Train Loss: 0.7991, Train Steps/Sec: 0.02, Epoch: 3.5755813953488373, LR: 0.001
[2025-04-19 13:15:41] (step=0002031) Train Loss: 1.2784, Train Steps/Sec: 0.03, Epoch: 5.90406976744186, LR: 0.001
[2025-04-19 13:15:50] (step=0002032) Train Loss: 1.3523, Train Steps/Sec: 0.10, Epoch: 5.906976744186046, LR: 0.001
[2025-04-19 13:16:20] (step=0002033) Train Loss: 1.3245, Train Steps/Sec: 0.03, Epoch: 5.909883720930233, LR: 0.001
[2025-04-19 13:16:27] (step=0001231) Train Loss: 0.8500, Train Steps/Sec: 0.02, Epoch: 3.578488372093023, LR: 0.001
[2025-04-19 13:16:49] (step=0002034) Train Loss: 1.3335, Train Steps/Sec: 0.03, Epoch: 5.912790697674419, LR: 0.001
[2025-04-19 13:17:15] (step=0001232) Train Loss: 0.6338, Train Steps/Sec: 0.02, Epoch: 3.5813953488372094, LR: 0.001
[2025-04-19 13:17:19] (step=0002035) Train Loss: 1.3343, Train Steps/Sec: 0.03, Epoch: 5.915697674418604, LR: 0.001
[2025-04-19 13:17:48] (step=0002036) Train Loss: 1.3134, Train Steps/Sec: 0.03, Epoch: 5.9186046511627906, LR: 0.001
[2025-04-19 13:18:03] (step=0001233) Train Loss: 0.7896, Train Steps/Sec: 0.02, Epoch: 3.5843023255813953, LR: 0.001
[2025-04-19 13:18:18] (step=0002037) Train Loss: 1.2929, Train Steps/Sec: 0.03, Epoch: 5.921511627906977, LR: 0.001
[2025-04-19 13:18:48] (step=0002038) Train Loss: 1.3064, Train Steps/Sec: 0.03, Epoch: 5.924418604651163, LR: 0.001
[2025-04-19 13:18:51] (step=0001234) Train Loss: 0.6014, Train Steps/Sec: 0.02, Epoch: 3.5872093023255816, LR: 0.001
[2025-04-19 13:19:17] (step=0002039) Train Loss: 1.2933, Train Steps/Sec: 0.03, Epoch: 5.9273255813953485, LR: 0.001
[2025-04-19 13:19:40] (step=0001235) Train Loss: 0.6491, Train Steps/Sec: 0.02, Epoch: 3.5901162790697674, LR: 0.001
[2025-04-19 13:19:47] (step=0002040) Train Loss: 1.2949, Train Steps/Sec: 0.03, Epoch: 5.930232558139535, LR: 0.001
[2025-04-19 13:20:17] (step=0002041) Train Loss: 1.3528, Train Steps/Sec: 0.03, Epoch: 5.933139534883721, LR: 0.001
[2025-04-19 13:20:28] (step=0001236) Train Loss: 0.6458, Train Steps/Sec: 0.02, Epoch: 3.5930232558139537, LR: 0.001
[2025-04-19 13:20:46] (step=0002042) Train Loss: 1.3807, Train Steps/Sec: 0.03, Epoch: 5.936046511627907, LR: 0.001
[2025-04-19 13:21:16] (step=0001237) Train Loss: 0.4625, Train Steps/Sec: 0.02, Epoch: 3.5959302325581395, LR: 0.001
[2025-04-19 13:21:16] (step=0002043) Train Loss: 1.2954, Train Steps/Sec: 0.03, Epoch: 5.938953488372093, LR: 0.001
[2025-04-19 13:21:45] (step=0002044) Train Loss: 1.3240, Train Steps/Sec: 0.03, Epoch: 5.941860465116279, LR: 0.001
[2025-04-19 13:22:04] (step=0001238) Train Loss: 0.8623, Train Steps/Sec: 0.02, Epoch: 3.5988372093023258, LR: 0.001
[2025-04-19 13:22:15] (step=0002045) Train Loss: 1.3788, Train Steps/Sec: 0.03, Epoch: 5.944767441860465, LR: 0.001
[2025-04-19 13:22:45] (step=0002046) Train Loss: 1.3653, Train Steps/Sec: 0.03, Epoch: 5.9476744186046515, LR: 0.001
[2025-04-19 13:22:52] (step=0001239) Train Loss: 0.4280, Train Steps/Sec: 0.02, Epoch: 3.6017441860465116, LR: 0.001
[2025-04-19 13:23:15] (step=0002047) Train Loss: 1.4408, Train Steps/Sec: 0.03, Epoch: 5.950581395348837, LR: 0.001
[2025-04-19 13:23:41] (step=0001240) Train Loss: 0.8031, Train Steps/Sec: 0.02, Epoch: 3.604651162790698, LR: 0.001
[2025-04-19 13:23:44] (step=0002048) Train Loss: 1.3642, Train Steps/Sec: 0.03, Epoch: 5.953488372093023, LR: 0.001
[2025-04-19 13:24:14] (step=0002049) Train Loss: 1.3076, Train Steps/Sec: 0.03, Epoch: 5.9563953488372094, LR: 0.001
[2025-04-19 13:24:29] (step=0001241) Train Loss: 0.7848, Train Steps/Sec: 0.02, Epoch: 3.6075581395348837, LR: 0.001
[2025-04-19 13:24:44] (step=0002050) Train Loss: 1.2635, Train Steps/Sec: 0.03, Epoch: 5.959302325581396, LR: 0.001
[2025-04-19 13:25:13] (step=0002051) Train Loss: 1.2623, Train Steps/Sec: 0.03, Epoch: 5.962209302325581, LR: 0.001
[2025-04-19 13:25:17] (step=0001242) Train Loss: 0.7597, Train Steps/Sec: 0.02, Epoch: 3.61046511627907, LR: 0.001
[2025-04-19 13:25:43] (step=0002052) Train Loss: 1.3392, Train Steps/Sec: 0.03, Epoch: 5.965116279069767, LR: 0.001
[2025-04-19 13:26:05] (step=0001243) Train Loss: 0.7905, Train Steps/Sec: 0.02, Epoch: 3.613372093023256, LR: 0.001
[2025-04-19 13:26:12] (step=0002053) Train Loss: 1.3299, Train Steps/Sec: 0.03, Epoch: 5.968023255813954, LR: 0.001
[2025-04-19 13:26:42] (step=0002054) Train Loss: 1.2955, Train Steps/Sec: 0.03, Epoch: 5.97093023255814, LR: 0.001
[2025-04-19 13:26:53] (step=0001244) Train Loss: 0.5992, Train Steps/Sec: 0.02, Epoch: 3.616279069767442, LR: 0.001
[2025-04-19 13:27:11] (step=0002055) Train Loss: 1.2897, Train Steps/Sec: 0.03, Epoch: 5.973837209302325, LR: 0.001
[2025-04-19 13:27:41] (step=0002056) Train Loss: 1.3392, Train Steps/Sec: 0.03, Epoch: 5.976744186046512, LR: 0.001
[2025-04-19 13:27:41] (step=0001245) Train Loss: 0.8339, Train Steps/Sec: 0.02, Epoch: 3.619186046511628, LR: 0.001
[2025-04-19 13:28:10] (step=0002057) Train Loss: 1.3296, Train Steps/Sec: 0.03, Epoch: 5.979651162790698, LR: 0.001
[2025-04-19 13:28:30] (step=0001246) Train Loss: 0.8575, Train Steps/Sec: 0.02, Epoch: 3.622093023255814, LR: 0.001
[2025-04-19 13:28:40] (step=0002058) Train Loss: 1.2585, Train Steps/Sec: 0.03, Epoch: 5.982558139534884, LR: 0.001
[2025-04-19 13:29:10] (step=0002059) Train Loss: 1.2846, Train Steps/Sec: 0.03, Epoch: 5.9854651162790695, LR: 0.001
[2025-04-19 13:29:18] (step=0001247) Train Loss: 0.8216, Train Steps/Sec: 0.02, Epoch: 3.625, LR: 0.001
[2025-04-19 13:29:39] (step=0002060) Train Loss: 1.2702, Train Steps/Sec: 0.03, Epoch: 5.988372093023256, LR: 0.001
[2025-04-19 13:30:06] (step=0001248) Train Loss: 0.6522, Train Steps/Sec: 0.02, Epoch: 3.627906976744186, LR: 0.001
[2025-04-19 13:30:09] (step=0002061) Train Loss: 1.3993, Train Steps/Sec: 0.03, Epoch: 5.991279069767442, LR: 0.001
[2025-04-19 13:30:38] (step=0002062) Train Loss: 1.2975, Train Steps/Sec: 0.03, Epoch: 5.994186046511628, LR: 0.001
[2025-04-19 13:30:54] (step=0001249) Train Loss: 0.4538, Train Steps/Sec: 0.02, Epoch: 3.630813953488372, LR: 0.001
[2025-04-19 13:31:08] (step=0002063) Train Loss: 1.2917, Train Steps/Sec: 0.03, Epoch: 5.997093023255814, LR: 0.001
[2025-04-19 13:31:38] (step=0002064) Train Loss: 1.2469, Train Steps/Sec: 0.03, Epoch: 6.0, LR: 0.001
[2025-04-19 13:31:38] Beginning epoch 6...
[2025-04-19 13:31:42] (step=0001250) Train Loss: 0.4127, Train Steps/Sec: 0.02, Epoch: 3.633720930232558, LR: 0.001
[2025-04-19 13:32:16] (step=0002065) Train Loss: 1.3407, Train Steps/Sec: 0.03, Epoch: 6.002906976744186, LR: 0.001
[2025-04-19 13:32:31] (step=0001251) Train Loss: 0.4670, Train Steps/Sec: 0.02, Epoch: 3.636627906976744, LR: 0.001
[2025-04-19 13:32:46] (step=0002066) Train Loss: 1.3103, Train Steps/Sec: 0.03, Epoch: 6.005813953488372, LR: 0.001
[2025-04-19 13:33:15] (step=0002067) Train Loss: 1.3389, Train Steps/Sec: 0.03, Epoch: 6.008720930232558, LR: 0.001
[2025-04-19 13:33:19] (step=0001252) Train Loss: 0.8684, Train Steps/Sec: 0.02, Epoch: 3.63953488372093, LR: 0.001
[2025-04-19 13:33:45] (step=0002068) Train Loss: 1.2645, Train Steps/Sec: 0.03, Epoch: 6.011627906976744, LR: 0.001
[2025-04-19 13:34:07] (step=0001253) Train Loss: 0.7636, Train Steps/Sec: 0.02, Epoch: 3.6424418604651163, LR: 0.001
[2025-04-19 13:34:14] (step=0002069) Train Loss: 1.2847, Train Steps/Sec: 0.03, Epoch: 6.0145348837209305, LR: 0.001
[2025-04-19 13:34:44] (step=0002070) Train Loss: 1.2882, Train Steps/Sec: 0.03, Epoch: 6.017441860465116, LR: 0.001
[2025-04-19 13:34:55] (step=0001254) Train Loss: 0.7842, Train Steps/Sec: 0.02, Epoch: 3.645348837209302, LR: 0.001
[2025-04-19 13:35:14] (step=0002071) Train Loss: 1.3837, Train Steps/Sec: 0.03, Epoch: 6.020348837209302, LR: 0.001
[2025-04-19 13:35:43] (step=0001255) Train Loss: 0.6759, Train Steps/Sec: 0.02, Epoch: 3.6482558139534884, LR: 0.001
[2025-04-19 13:35:44] (step=0002072) Train Loss: 1.3236, Train Steps/Sec: 0.03, Epoch: 6.023255813953488, LR: 0.001
[2025-04-19 13:36:13] (step=0002073) Train Loss: 1.2714, Train Steps/Sec: 0.03, Epoch: 6.026162790697675, LR: 0.001
[2025-04-19 13:36:32] (step=0001256) Train Loss: 0.4572, Train Steps/Sec: 0.02, Epoch: 3.6511627906976742, LR: 0.001
[2025-04-19 13:36:43] (step=0002074) Train Loss: 1.2825, Train Steps/Sec: 0.03, Epoch: 6.02906976744186, LR: 0.001
[2025-04-19 13:37:12] (step=0002075) Train Loss: 1.2986, Train Steps/Sec: 0.03, Epoch: 6.031976744186046, LR: 0.001
[2025-04-19 13:37:20] (step=0001257) Train Loss: 0.4198, Train Steps/Sec: 0.02, Epoch: 3.6540697674418605, LR: 0.001
[2025-04-19 13:37:42] (step=0002076) Train Loss: 1.2712, Train Steps/Sec: 0.03, Epoch: 6.034883720930233, LR: 0.001
[2025-04-19 13:38:08] (step=0001258) Train Loss: 0.4060, Train Steps/Sec: 0.02, Epoch: 3.6569767441860463, LR: 0.001
[2025-04-19 13:38:12] (step=0002077) Train Loss: 1.3608, Train Steps/Sec: 0.03, Epoch: 6.037790697674419, LR: 0.001
[2025-04-19 13:38:41] (step=0002078) Train Loss: 1.2919, Train Steps/Sec: 0.03, Epoch: 6.040697674418604, LR: 0.001
[2025-04-19 13:38:56] (step=0001259) Train Loss: 0.7959, Train Steps/Sec: 0.02, Epoch: 3.6598837209302326, LR: 0.001
[2025-04-19 13:39:11] (step=0002079) Train Loss: 1.3014, Train Steps/Sec: 0.03, Epoch: 6.0436046511627906, LR: 0.001
[2025-04-19 13:39:40] (step=0002080) Train Loss: 1.2697, Train Steps/Sec: 0.03, Epoch: 6.046511627906977, LR: 0.001
[2025-04-19 13:39:45] (step=0001260) Train Loss: 0.7546, Train Steps/Sec: 0.02, Epoch: 3.6627906976744184, LR: 0.001
[2025-04-19 13:40:10] (step=0002081) Train Loss: 1.3099, Train Steps/Sec: 0.03, Epoch: 6.049418604651163, LR: 0.001
[2025-04-19 13:40:19] (step=0002082) Train Loss: 1.3380, Train Steps/Sec: 0.10, Epoch: 6.0523255813953485, LR: 0.001
[2025-04-19 13:40:33] (step=0001261) Train Loss: 0.7226, Train Steps/Sec: 0.02, Epoch: 3.6656976744186047, LR: 0.001
[2025-04-19 13:40:49] (step=0002083) Train Loss: 1.3081, Train Steps/Sec: 0.03, Epoch: 6.055232558139535, LR: 0.001
[2025-04-19 13:41:19] (step=0002084) Train Loss: 1.2955, Train Steps/Sec: 0.03, Epoch: 6.058139534883721, LR: 0.001
[2025-04-19 13:41:21] (step=0001262) Train Loss: 0.7528, Train Steps/Sec: 0.02, Epoch: 3.6686046511627906, LR: 0.001
[2025-04-19 13:41:48] (step=0002085) Train Loss: 1.3041, Train Steps/Sec: 0.03, Epoch: 6.061046511627907, LR: 0.001
[2025-04-19 13:42:09] (step=0001263) Train Loss: 0.5354, Train Steps/Sec: 0.02, Epoch: 3.671511627906977, LR: 0.001
[2025-04-19 13:42:18] (step=0002086) Train Loss: 1.2606, Train Steps/Sec: 0.03, Epoch: 6.063953488372093, LR: 0.001
[2025-04-19 13:42:48] (step=0002087) Train Loss: 1.3905, Train Steps/Sec: 0.03, Epoch: 6.066860465116279, LR: 0.001
[2025-04-19 13:42:58] (step=0001264) Train Loss: 0.4765, Train Steps/Sec: 0.02, Epoch: 3.6744186046511627, LR: 0.001
[2025-04-19 13:43:17] (step=0002088) Train Loss: 1.2983, Train Steps/Sec: 0.03, Epoch: 6.069767441860465, LR: 0.001
[2025-04-19 13:43:46] (step=0001265) Train Loss: 0.6899, Train Steps/Sec: 0.02, Epoch: 3.677325581395349, LR: 0.001
[2025-04-19 13:43:47] (step=0002089) Train Loss: 1.2991, Train Steps/Sec: 0.03, Epoch: 6.0726744186046515, LR: 0.001
[2025-04-19 13:44:17] (step=0002090) Train Loss: 1.3331, Train Steps/Sec: 0.03, Epoch: 6.075581395348837, LR: 0.001
[2025-04-19 13:44:35] (step=0001266) Train Loss: 0.4976, Train Steps/Sec: 0.02, Epoch: 3.6802325581395348, LR: 0.001
[2025-04-19 13:44:46] (step=0002091) Train Loss: 1.2918, Train Steps/Sec: 0.03, Epoch: 6.078488372093023, LR: 0.001
[2025-04-19 13:45:16] (step=0002092) Train Loss: 1.3118, Train Steps/Sec: 0.03, Epoch: 6.0813953488372094, LR: 0.001
[2025-04-19 13:45:23] (step=0001267) Train Loss: 0.4175, Train Steps/Sec: 0.02, Epoch: 3.683139534883721, LR: 0.001
[2025-04-19 13:45:45] (step=0002093) Train Loss: 1.2894, Train Steps/Sec: 0.03, Epoch: 6.084302325581396, LR: 0.001
[2025-04-19 13:46:11] (step=0001268) Train Loss: 0.4843, Train Steps/Sec: 0.02, Epoch: 3.686046511627907, LR: 0.001
[2025-04-19 13:46:15] (step=0002094) Train Loss: 1.3714, Train Steps/Sec: 0.03, Epoch: 6.087209302325581, LR: 0.001
[2025-04-19 13:46:44] (step=0002095) Train Loss: 1.3617, Train Steps/Sec: 0.03, Epoch: 6.090116279069767, LR: 0.001
[2025-04-19 13:47:00] (step=0001269) Train Loss: 0.4565, Train Steps/Sec: 0.02, Epoch: 3.688953488372093, LR: 0.001
[2025-04-19 13:47:14] (step=0002096) Train Loss: 1.3230, Train Steps/Sec: 0.03, Epoch: 6.093023255813954, LR: 0.001
[2025-04-19 13:47:44] (step=0002097) Train Loss: 1.3166, Train Steps/Sec: 0.03, Epoch: 6.09593023255814, LR: 0.001
[2025-04-19 13:47:48] (step=0001270) Train Loss: 0.3960, Train Steps/Sec: 0.02, Epoch: 3.691860465116279, LR: 0.001
[2025-04-19 13:48:13] (step=0002098) Train Loss: 1.2916, Train Steps/Sec: 0.03, Epoch: 6.098837209302325, LR: 0.001
[2025-04-19 13:48:36] (step=0001271) Train Loss: 0.4149, Train Steps/Sec: 0.02, Epoch: 3.6947674418604652, LR: 0.001
[2025-04-19 13:48:42] (step=0002099) Train Loss: 1.3105, Train Steps/Sec: 0.03, Epoch: 6.101744186046512, LR: 0.001
[2025-04-19 13:49:12] (step=0002100) Train Loss: 1.3005, Train Steps/Sec: 0.03, Epoch: 6.104651162790698, LR: 0.001
[2025-04-19 13:49:24] (step=0001272) Train Loss: 0.8234, Train Steps/Sec: 0.02, Epoch: 3.697674418604651, LR: 0.001
[2025-04-19 13:49:42] (step=0002101) Train Loss: 1.3161, Train Steps/Sec: 0.03, Epoch: 6.107558139534884, LR: 0.001
[2025-04-19 13:50:11] (step=0002102) Train Loss: 1.3049, Train Steps/Sec: 0.03, Epoch: 6.1104651162790695, LR: 0.001
[2025-04-19 13:50:12] (step=0001273) Train Loss: 0.6016, Train Steps/Sec: 0.02, Epoch: 3.7005813953488373, LR: 0.001
[2025-04-19 13:50:41] (step=0002103) Train Loss: 1.2869, Train Steps/Sec: 0.03, Epoch: 6.113372093023256, LR: 0.001
[2025-04-19 13:51:00] (step=0001274) Train Loss: 0.5966, Train Steps/Sec: 0.02, Epoch: 3.703488372093023, LR: 0.001
[2025-04-19 13:51:11] (step=0002104) Train Loss: 1.2904, Train Steps/Sec: 0.03, Epoch: 6.116279069767442, LR: 0.001
[2025-04-19 13:51:40] (step=0002105) Train Loss: 1.3441, Train Steps/Sec: 0.03, Epoch: 6.119186046511628, LR: 0.001
[2025-04-19 13:51:49] (step=0001275) Train Loss: 0.5565, Train Steps/Sec: 0.02, Epoch: 3.7063953488372094, LR: 0.001
[2025-04-19 13:52:10] (step=0002106) Train Loss: 1.3344, Train Steps/Sec: 0.03, Epoch: 6.122093023255814, LR: 0.001
[2025-04-19 13:52:37] (step=0001276) Train Loss: 0.7692, Train Steps/Sec: 0.02, Epoch: 3.7093023255813953, LR: 0.001
[2025-04-19 13:52:39] (step=0002107) Train Loss: 1.2908, Train Steps/Sec: 0.03, Epoch: 6.125, LR: 0.001
[2025-04-19 13:53:09] (step=0002108) Train Loss: 1.2814, Train Steps/Sec: 0.03, Epoch: 6.127906976744186, LR: 0.001
[2025-04-19 13:53:25] (step=0001277) Train Loss: 0.7897, Train Steps/Sec: 0.02, Epoch: 3.7122093023255816, LR: 0.001
[2025-04-19 13:53:39] (step=0002109) Train Loss: 1.3129, Train Steps/Sec: 0.03, Epoch: 6.130813953488372, LR: 0.001
[2025-04-19 13:54:08] (step=0002110) Train Loss: 1.3596, Train Steps/Sec: 0.03, Epoch: 6.133720930232558, LR: 0.001
[2025-04-19 13:54:13] (step=0001278) Train Loss: 0.6279, Train Steps/Sec: 0.02, Epoch: 3.7151162790697674, LR: 0.001
[2025-04-19 13:54:38] (step=0002111) Train Loss: 1.2556, Train Steps/Sec: 0.03, Epoch: 6.136627906976744, LR: 0.001
[2025-04-19 13:55:02] (step=0001279) Train Loss: 0.5660, Train Steps/Sec: 0.02, Epoch: 3.7180232558139537, LR: 0.001
[2025-04-19 13:55:07] (step=0002112) Train Loss: 1.3522, Train Steps/Sec: 0.03, Epoch: 6.1395348837209305, LR: 0.001
[2025-04-19 13:55:37] (step=0002113) Train Loss: 1.2709, Train Steps/Sec: 0.03, Epoch: 6.142441860465116, LR: 0.001
[2025-04-19 13:55:50] (step=0001280) Train Loss: 0.7345, Train Steps/Sec: 0.02, Epoch: 3.7209302325581395, LR: 0.001
[2025-04-19 13:56:07] (step=0002114) Train Loss: 1.3615, Train Steps/Sec: 0.03, Epoch: 6.145348837209302, LR: 0.001
[2025-04-19 13:56:36] (step=0002115) Train Loss: 1.2757, Train Steps/Sec: 0.03, Epoch: 6.148255813953488, LR: 0.001
[2025-04-19 13:56:38] (step=0001281) Train Loss: 0.8213, Train Steps/Sec: 0.02, Epoch: 3.7238372093023258, LR: 0.001
[2025-04-19 13:57:06] (step=0002116) Train Loss: 1.2406, Train Steps/Sec: 0.03, Epoch: 6.151162790697675, LR: 0.001
[2025-04-19 13:57:26] (step=0001282) Train Loss: 0.5714, Train Steps/Sec: 0.02, Epoch: 3.7267441860465116, LR: 0.001
[2025-04-19 13:57:36] (step=0002117) Train Loss: 1.2929, Train Steps/Sec: 0.03, Epoch: 6.15406976744186, LR: 0.001
[2025-04-19 13:58:05] (step=0002118) Train Loss: 1.2930, Train Steps/Sec: 0.03, Epoch: 6.156976744186046, LR: 0.001
[2025-04-19 13:58:14] (step=0001283) Train Loss: 0.5898, Train Steps/Sec: 0.02, Epoch: 3.729651162790698, LR: 0.001
[2025-04-19 13:58:35] (step=0002119) Train Loss: 1.3594, Train Steps/Sec: 0.03, Epoch: 6.159883720930233, LR: 0.001
[2025-04-19 13:59:03] (step=0001284) Train Loss: 0.8011, Train Steps/Sec: 0.02, Epoch: 3.7325581395348837, LR: 0.001
[2025-04-19 13:59:04] (step=0002120) Train Loss: 1.2930, Train Steps/Sec: 0.03, Epoch: 6.162790697674419, LR: 0.001
[2025-04-19 13:59:34] (step=0002121) Train Loss: 1.2776, Train Steps/Sec: 0.03, Epoch: 6.165697674418604, LR: 0.001
[2025-04-19 13:59:51] (step=0001285) Train Loss: 0.6647, Train Steps/Sec: 0.02, Epoch: 3.73546511627907, LR: 0.001
[2025-04-19 14:00:03] (step=0002122) Train Loss: 1.3848, Train Steps/Sec: 0.03, Epoch: 6.1686046511627906, LR: 0.001
[2025-04-19 14:00:33] (step=0002123) Train Loss: 1.2959, Train Steps/Sec: 0.03, Epoch: 6.171511627906977, LR: 0.001
[2025-04-19 14:00:39] (step=0001286) Train Loss: 0.5961, Train Steps/Sec: 0.02, Epoch: 3.738372093023256, LR: 0.001
[2025-04-19 14:01:03] (step=0002124) Train Loss: 1.2603, Train Steps/Sec: 0.03, Epoch: 6.174418604651163, LR: 0.001
[2025-04-19 14:01:27] (step=0001287) Train Loss: 0.6838, Train Steps/Sec: 0.02, Epoch: 3.741279069767442, LR: 0.001
[2025-04-19 14:01:32] (step=0002125) Train Loss: 1.3492, Train Steps/Sec: 0.03, Epoch: 6.1773255813953485, LR: 0.001
[2025-04-19 14:02:02] (step=0002126) Train Loss: 1.3045, Train Steps/Sec: 0.03, Epoch: 6.180232558139535, LR: 0.001
[2025-04-19 14:02:15] (step=0001288) Train Loss: 0.3944, Train Steps/Sec: 0.02, Epoch: 3.744186046511628, LR: 0.001
[2025-04-19 14:02:31] (step=0002127) Train Loss: 1.3513, Train Steps/Sec: 0.03, Epoch: 6.183139534883721, LR: 0.001
[2025-04-19 14:03:01] (step=0002128) Train Loss: 1.2759, Train Steps/Sec: 0.03, Epoch: 6.186046511627907, LR: 0.001
[2025-04-19 14:03:04] (step=0001289) Train Loss: 0.3861, Train Steps/Sec: 0.02, Epoch: 3.747093023255814, LR: 0.001
[2025-04-19 14:03:30] (step=0002129) Train Loss: 1.3143, Train Steps/Sec: 0.03, Epoch: 6.188953488372093, LR: 0.001
[2025-04-19 14:03:52] (step=0001290) Train Loss: 0.8406, Train Steps/Sec: 0.02, Epoch: 3.75, LR: 0.001
[2025-04-19 14:04:00] (step=0002130) Train Loss: 1.2627, Train Steps/Sec: 0.03, Epoch: 6.191860465116279, LR: 0.001
[2025-04-19 14:04:30] (step=0002131) Train Loss: 1.3314, Train Steps/Sec: 0.03, Epoch: 6.194767441860465, LR: 0.001
[2025-04-19 14:04:40] (step=0001291) Train Loss: 0.6731, Train Steps/Sec: 0.02, Epoch: 3.752906976744186, LR: 0.001
[2025-04-19 14:04:59] (step=0002132) Train Loss: 1.2024, Train Steps/Sec: 0.03, Epoch: 6.1976744186046515, LR: 0.001
[2025-04-19 14:05:28] (step=0001292) Train Loss: 0.7055, Train Steps/Sec: 0.02, Epoch: 3.755813953488372, LR: 0.001
[2025-04-19 14:05:29] (step=0002133) Train Loss: 1.2810, Train Steps/Sec: 0.03, Epoch: 6.200581395348837, LR: 0.001
[2025-04-19 14:05:59] (step=0002134) Train Loss: 1.2787, Train Steps/Sec: 0.03, Epoch: 6.203488372093023, LR: 0.001
[2025-04-19 14:06:16] (step=0001293) Train Loss: 0.8247, Train Steps/Sec: 0.02, Epoch: 3.758720930232558, LR: 0.001
[2025-04-19 14:06:28] (step=0002135) Train Loss: 1.3847, Train Steps/Sec: 0.03, Epoch: 6.2063953488372094, LR: 0.001
[2025-04-19 14:06:58] (step=0002136) Train Loss: 1.2699, Train Steps/Sec: 0.03, Epoch: 6.209302325581396, LR: 0.001
[2025-04-19 14:07:05] (step=0001294) Train Loss: 0.4063, Train Steps/Sec: 0.02, Epoch: 3.761627906976744, LR: 0.001
[2025-04-19 14:07:27] (step=0002137) Train Loss: 1.2673, Train Steps/Sec: 0.03, Epoch: 6.212209302325581, LR: 0.001
[2025-04-19 14:07:53] (step=0001295) Train Loss: 0.7383, Train Steps/Sec: 0.02, Epoch: 3.76453488372093, LR: 0.001
[2025-04-19 14:07:57] (step=0002138) Train Loss: 1.2670, Train Steps/Sec: 0.03, Epoch: 6.215116279069767, LR: 0.001
[2025-04-19 14:08:26] (step=0002139) Train Loss: 1.2384, Train Steps/Sec: 0.03, Epoch: 6.218023255813954, LR: 0.001
[2025-04-19 14:08:41] (step=0001296) Train Loss: 0.4354, Train Steps/Sec: 0.02, Epoch: 3.7674418604651163, LR: 0.001
[2025-04-19 14:08:56] (step=0002140) Train Loss: 1.2562, Train Steps/Sec: 0.03, Epoch: 6.22093023255814, LR: 0.001
[2025-04-19 14:09:26] (step=0002141) Train Loss: 1.3783, Train Steps/Sec: 0.03, Epoch: 6.223837209302325, LR: 0.001
[2025-04-19 14:09:29] (step=0001297) Train Loss: 0.6163, Train Steps/Sec: 0.02, Epoch: 3.770348837209302, LR: 0.001
[2025-04-19 14:09:55] (step=0002142) Train Loss: 1.3757, Train Steps/Sec: 0.03, Epoch: 6.226744186046512, LR: 0.001
[2025-04-19 14:10:18] (step=0001298) Train Loss: 0.5024, Train Steps/Sec: 0.02, Epoch: 3.7732558139534884, LR: 0.001
[2025-04-19 14:10:25] (step=0002143) Train Loss: 1.2754, Train Steps/Sec: 0.03, Epoch: 6.229651162790698, LR: 0.001
[2025-04-19 14:10:54] (step=0002144) Train Loss: 1.3309, Train Steps/Sec: 0.03, Epoch: 6.232558139534884, LR: 0.001
[2025-04-19 14:11:06] (step=0001299) Train Loss: 0.8124, Train Steps/Sec: 0.02, Epoch: 3.7761627906976742, LR: 0.001
[2025-04-19 14:11:24] (step=0002145) Train Loss: 1.2635, Train Steps/Sec: 0.03, Epoch: 6.2354651162790695, LR: 0.001
[2025-04-19 14:11:54] (step=0002146) Train Loss: 1.2689, Train Steps/Sec: 0.03, Epoch: 6.238372093023256, LR: 0.001
[2025-04-19 14:11:55] (step=0001300) Train Loss: 0.7393, Train Steps/Sec: 0.02, Epoch: 3.7790697674418605, LR: 0.001
[2025-04-19 14:12:23] (step=0002147) Train Loss: 1.3204, Train Steps/Sec: 0.03, Epoch: 6.241279069767442, LR: 0.001
[2025-04-19 14:12:43] (step=0001301) Train Loss: 0.6511, Train Steps/Sec: 0.02, Epoch: 3.7819767441860463, LR: 0.001
[2025-04-19 14:12:53] (step=0002148) Train Loss: 1.2498, Train Steps/Sec: 0.03, Epoch: 6.244186046511628, LR: 0.001
[2025-04-19 14:13:22] (step=0002149) Train Loss: 1.3353, Train Steps/Sec: 0.03, Epoch: 6.247093023255814, LR: 0.001
[2025-04-19 14:13:31] (step=0001302) Train Loss: 0.6013, Train Steps/Sec: 0.02, Epoch: 3.7848837209302326, LR: 0.001
[2025-04-19 14:13:52] (step=0002150) Train Loss: 1.2412, Train Steps/Sec: 0.03, Epoch: 6.25, LR: 0.001
[2025-04-19 14:14:19] (step=0001303) Train Loss: 0.7645, Train Steps/Sec: 0.02, Epoch: 3.7877906976744184, LR: 0.001
[2025-04-19 14:14:22] (step=0002151) Train Loss: 1.3680, Train Steps/Sec: 0.03, Epoch: 6.252906976744186, LR: 0.001
[2025-04-19 14:14:51] (step=0002152) Train Loss: 1.2974, Train Steps/Sec: 0.03, Epoch: 6.255813953488372, LR: 0.001
[2025-04-19 14:15:08] (step=0001304) Train Loss: 0.8301, Train Steps/Sec: 0.02, Epoch: 3.7906976744186047, LR: 0.001
[2025-04-19 14:15:21] (step=0002153) Train Loss: 1.2633, Train Steps/Sec: 0.03, Epoch: 6.258720930232558, LR: 0.001
[2025-04-19 14:15:50] (step=0002154) Train Loss: 1.3731, Train Steps/Sec: 0.03, Epoch: 6.261627906976744, LR: 0.001
[2025-04-19 14:15:56] (step=0001305) Train Loss: 0.4061, Train Steps/Sec: 0.02, Epoch: 3.7936046511627906, LR: 0.001
[2025-04-19 14:16:20] (step=0002155) Train Loss: 1.2966, Train Steps/Sec: 0.03, Epoch: 6.2645348837209305, LR: 0.001
[2025-04-19 14:16:44] (step=0001306) Train Loss: 0.7343, Train Steps/Sec: 0.02, Epoch: 3.796511627906977, LR: 0.001
[2025-04-19 14:16:49] (step=0002156) Train Loss: 1.2348, Train Steps/Sec: 0.03, Epoch: 6.267441860465116, LR: 0.001
[2025-04-19 14:17:19] (step=0002157) Train Loss: 1.2520, Train Steps/Sec: 0.03, Epoch: 6.270348837209302, LR: 0.001
[2025-04-19 14:17:32] (step=0001307) Train Loss: 0.4837, Train Steps/Sec: 0.02, Epoch: 3.7994186046511627, LR: 0.001
[2025-04-19 14:17:48] (step=0002158) Train Loss: 1.3167, Train Steps/Sec: 0.03, Epoch: 6.273255813953488, LR: 0.001
[2025-04-19 14:18:18] (step=0002159) Train Loss: 1.2780, Train Steps/Sec: 0.03, Epoch: 6.276162790697675, LR: 0.001
[2025-04-19 14:18:20] (step=0001308) Train Loss: 0.8207, Train Steps/Sec: 0.02, Epoch: 3.802325581395349, LR: 0.001
[2025-04-19 14:18:47] (step=0002160) Train Loss: 1.2360, Train Steps/Sec: 0.03, Epoch: 6.27906976744186, LR: 0.001
[2025-04-19 14:19:08] (step=0001309) Train Loss: 0.6465, Train Steps/Sec: 0.02, Epoch: 3.8052325581395348, LR: 0.001
[2025-04-19 14:19:17] (step=0002161) Train Loss: 1.2760, Train Steps/Sec: 0.03, Epoch: 6.281976744186046, LR: 0.001
[2025-04-19 14:19:46] (step=0002162) Train Loss: 1.2379, Train Steps/Sec: 0.03, Epoch: 6.284883720930233, LR: 0.001
[2025-04-19 14:19:57] (step=0001310) Train Loss: 0.5686, Train Steps/Sec: 0.02, Epoch: 3.808139534883721, LR: 0.001
[2025-04-19 14:20:16] (step=0002163) Train Loss: 1.3441, Train Steps/Sec: 0.03, Epoch: 6.287790697674419, LR: 0.001
[2025-04-19 14:20:45] (step=0001311) Train Loss: 0.8315, Train Steps/Sec: 0.02, Epoch: 3.811046511627907, LR: 0.001
[2025-04-19 14:20:46] (step=0002164) Train Loss: 1.2519, Train Steps/Sec: 0.03, Epoch: 6.290697674418604, LR: 0.001
[2025-04-19 14:21:15] (step=0002165) Train Loss: 1.3523, Train Steps/Sec: 0.03, Epoch: 6.2936046511627906, LR: 0.001
[2025-04-19 14:21:34] (step=0001312) Train Loss: 0.3661, Train Steps/Sec: 0.02, Epoch: 3.813953488372093, LR: 0.001
[2025-04-19 14:21:45] (step=0002166) Train Loss: 1.2510, Train Steps/Sec: 0.03, Epoch: 6.296511627906977, LR: 0.001
[2025-04-19 14:22:14] (step=0002167) Train Loss: 1.2801, Train Steps/Sec: 0.03, Epoch: 6.299418604651163, LR: 0.001
[2025-04-19 14:22:22] (step=0001313) Train Loss: 0.7230, Train Steps/Sec: 0.02, Epoch: 3.816860465116279, LR: 0.001
[2025-04-19 14:22:44] (step=0002168) Train Loss: 1.2837, Train Steps/Sec: 0.03, Epoch: 6.3023255813953485, LR: 0.001
[2025-04-19 14:23:10] (step=0001314) Train Loss: 0.5752, Train Steps/Sec: 0.02, Epoch: 3.8197674418604652, LR: 0.001
[2025-04-19 14:23:14] (step=0002169) Train Loss: 1.3400, Train Steps/Sec: 0.03, Epoch: 6.305232558139535, LR: 0.001
[2025-04-19 14:23:43] (step=0002170) Train Loss: 1.2408, Train Steps/Sec: 0.03, Epoch: 6.308139534883721, LR: 0.001
[2025-04-19 14:23:58] (step=0001315) Train Loss: 0.4720, Train Steps/Sec: 0.02, Epoch: 3.822674418604651, LR: 0.001
[2025-04-19 14:24:13] (step=0002171) Train Loss: 1.3775, Train Steps/Sec: 0.03, Epoch: 6.311046511627907, LR: 0.001
[2025-04-19 14:24:43] (step=0002172) Train Loss: 1.2668, Train Steps/Sec: 0.03, Epoch: 6.313953488372093, LR: 0.001
[2025-04-19 14:24:46] (step=0001316) Train Loss: 0.4047, Train Steps/Sec: 0.02, Epoch: 3.8255813953488373, LR: 0.001
[2025-04-19 14:25:12] (step=0002173) Train Loss: 1.3370, Train Steps/Sec: 0.03, Epoch: 6.316860465116279, LR: 0.001
[2025-04-19 14:25:34] (step=0001317) Train Loss: 0.5630, Train Steps/Sec: 0.02, Epoch: 3.828488372093023, LR: 0.001
[2025-04-19 14:25:42] (step=0002174) Train Loss: 1.2368, Train Steps/Sec: 0.03, Epoch: 6.319767441860465, LR: 0.001
[2025-04-19 14:26:12] (step=0002175) Train Loss: 1.3062, Train Steps/Sec: 0.03, Epoch: 6.3226744186046515, LR: 0.001
[2025-04-19 14:26:23] (step=0001318) Train Loss: 0.8687, Train Steps/Sec: 0.02, Epoch: 3.8313953488372094, LR: 0.001
[2025-04-19 14:26:41] (step=0002176) Train Loss: 1.2926, Train Steps/Sec: 0.03, Epoch: 6.325581395348837, LR: 0.001
[2025-04-19 14:27:11] (step=0002177) Train Loss: 1.2175, Train Steps/Sec: 0.03, Epoch: 6.328488372093023, LR: 0.001
[2025-04-19 14:27:11] (step=0001319) Train Loss: 0.7560, Train Steps/Sec: 0.02, Epoch: 3.8343023255813953, LR: 0.001
[2025-04-19 14:27:40] (step=0002178) Train Loss: 1.2426, Train Steps/Sec: 0.03, Epoch: 6.3313953488372094, LR: 0.001
[2025-04-19 14:27:59] (step=0001320) Train Loss: 0.4921, Train Steps/Sec: 0.02, Epoch: 3.8372093023255816, LR: 0.001
[2025-04-19 14:28:10] (step=0002179) Train Loss: 1.2472, Train Steps/Sec: 0.03, Epoch: 6.334302325581396, LR: 0.001
[2025-04-19 14:28:40] (step=0002180) Train Loss: 1.3410, Train Steps/Sec: 0.03, Epoch: 6.337209302325581, LR: 0.001
[2025-04-19 14:28:48] (step=0001321) Train Loss: 0.8143, Train Steps/Sec: 0.02, Epoch: 3.8401162790697674, LR: 0.001
[2025-04-19 14:29:09] (step=0002181) Train Loss: 1.2676, Train Steps/Sec: 0.03, Epoch: 6.340116279069767, LR: 0.001
[2025-04-19 14:29:36] (step=0001322) Train Loss: 0.7135, Train Steps/Sec: 0.02, Epoch: 3.8430232558139537, LR: 0.001
[2025-04-19 14:29:39] (step=0002182) Train Loss: 1.3953, Train Steps/Sec: 0.03, Epoch: 6.343023255813954, LR: 0.001
[2025-04-19 14:30:09] (step=0002183) Train Loss: 1.2744, Train Steps/Sec: 0.03, Epoch: 6.34593023255814, LR: 0.001
[2025-04-19 14:30:24] (step=0001323) Train Loss: 0.7498, Train Steps/Sec: 0.02, Epoch: 3.8459302325581395, LR: 0.001
[2025-04-19 14:30:38] (step=0002184) Train Loss: 1.2677, Train Steps/Sec: 0.03, Epoch: 6.348837209302325, LR: 0.001
[2025-04-19 14:31:08] (step=0002185) Train Loss: 1.2810, Train Steps/Sec: 0.03, Epoch: 6.351744186046512, LR: 0.001
[2025-04-19 14:31:13] (step=0001324) Train Loss: 0.6642, Train Steps/Sec: 0.02, Epoch: 3.8488372093023258, LR: 0.001
[2025-04-19 14:31:37] (step=0002186) Train Loss: 1.1738, Train Steps/Sec: 0.03, Epoch: 6.354651162790698, LR: 0.001
[2025-04-19 14:32:01] (step=0001325) Train Loss: 0.4534, Train Steps/Sec: 0.02, Epoch: 3.8517441860465116, LR: 0.001
[2025-04-19 14:32:07] (step=0002187) Train Loss: 1.2966, Train Steps/Sec: 0.03, Epoch: 6.357558139534884, LR: 0.001
[2025-04-19 14:32:37] (step=0002188) Train Loss: 1.1950, Train Steps/Sec: 0.03, Epoch: 6.3604651162790695, LR: 0.001
[2025-04-19 14:32:49] (step=0001326) Train Loss: 0.5051, Train Steps/Sec: 0.02, Epoch: 3.854651162790698, LR: 0.001
[2025-04-19 14:33:06] (step=0002189) Train Loss: 1.3516, Train Steps/Sec: 0.03, Epoch: 6.363372093023256, LR: 0.001
[2025-04-19 14:33:36] (step=0002190) Train Loss: 1.4530, Train Steps/Sec: 0.03, Epoch: 6.366279069767442, LR: 0.001
[2025-04-19 14:33:37] (step=0001327) Train Loss: 0.0070, Train Steps/Sec: 0.02, Epoch: 3.8575581395348837, LR: 0.001
[2025-04-19 14:34:06] (step=0002191) Train Loss: 1.2707, Train Steps/Sec: 0.03, Epoch: 6.369186046511628, LR: 0.001
[2025-04-19 14:34:26] (step=0001328) Train Loss: 0.7525, Train Steps/Sec: 0.02, Epoch: 3.86046511627907, LR: 0.001
[2025-04-19 14:34:35] (step=0002192) Train Loss: 1.2777, Train Steps/Sec: 0.03, Epoch: 6.372093023255814, LR: 0.001
[2025-04-19 14:35:05] (step=0002193) Train Loss: 1.2084, Train Steps/Sec: 0.03, Epoch: 6.375, LR: 0.001
[2025-04-19 14:35:14] (step=0001329) Train Loss: 0.7813, Train Steps/Sec: 0.02, Epoch: 3.863372093023256, LR: 0.001
[2025-04-19 14:35:35] (step=0002194) Train Loss: 1.3676, Train Steps/Sec: 0.03, Epoch: 6.377906976744186, LR: 0.001
[2025-04-19 14:36:03] (step=0001330) Train Loss: 0.5144, Train Steps/Sec: 0.02, Epoch: 3.866279069767442, LR: 0.001
[2025-04-19 14:36:04] (step=0002195) Train Loss: 1.2623, Train Steps/Sec: 0.03, Epoch: 6.380813953488372, LR: 0.001
[2025-04-19 14:36:34] (step=0002196) Train Loss: 1.3562, Train Steps/Sec: 0.03, Epoch: 6.383720930232558, LR: 0.001
[2025-04-19 14:36:51] (step=0001331) Train Loss: 0.5778, Train Steps/Sec: 0.02, Epoch: 3.869186046511628, LR: 0.001
[2025-04-19 14:37:03] (step=0002197) Train Loss: 1.1847, Train Steps/Sec: 0.03, Epoch: 6.386627906976744, LR: 0.001
[2025-04-19 14:37:33] (step=0002198) Train Loss: 1.3256, Train Steps/Sec: 0.03, Epoch: 6.3895348837209305, LR: 0.001
[2025-04-19 14:37:39] (step=0001332) Train Loss: 0.4322, Train Steps/Sec: 0.02, Epoch: 3.872093023255814, LR: 0.001
[2025-04-19 14:38:02] (step=0002199) Train Loss: 1.2093, Train Steps/Sec: 0.03, Epoch: 6.392441860465116, LR: 0.001
[2025-04-19 14:38:27] (step=0001333) Train Loss: 0.6275, Train Steps/Sec: 0.02, Epoch: 3.875, LR: 0.001
[2025-04-19 14:38:32] (step=0002200) Train Loss: 1.2311, Train Steps/Sec: 0.03, Epoch: 6.395348837209302, LR: 0.001
[2025-04-19 14:38:46] Saved checkpoint to ./results/sfm_based//checkpoints/0002200/
[2025-04-19 14:39:15] (step=0002201) Train Loss: 1.1551, Train Steps/Sec: 0.02, Epoch: 6.398255813953488, LR: 0.001
[2025-04-19 14:39:15] (step=0001334) Train Loss: 0.4626, Train Steps/Sec: 0.02, Epoch: 3.877906976744186, LR: 0.001
[2025-04-19 14:39:44] (step=0002202) Train Loss: 1.2647, Train Steps/Sec: 0.03, Epoch: 6.401162790697675, LR: 0.001
[2025-04-19 14:40:03] (step=0001335) Train Loss: 0.5833, Train Steps/Sec: 0.02, Epoch: 3.880813953488372, LR: 0.001
[2025-04-19 14:40:14] (step=0002203) Train Loss: 1.3568, Train Steps/Sec: 0.03, Epoch: 6.40406976744186, LR: 0.001
[2025-04-19 14:40:44] (step=0002204) Train Loss: 1.2094, Train Steps/Sec: 0.03, Epoch: 6.406976744186046, LR: 0.001
[2025-04-19 14:40:52] (step=0001336) Train Loss: 0.5317, Train Steps/Sec: 0.02, Epoch: 3.883720930232558, LR: 0.001
[2025-04-19 14:41:14] (step=0002205) Train Loss: 1.2838, Train Steps/Sec: 0.03, Epoch: 6.409883720930233, LR: 0.001
[2025-04-19 14:41:40] (step=0001337) Train Loss: 0.5407, Train Steps/Sec: 0.02, Epoch: 3.886627906976744, LR: 0.001
[2025-04-19 14:41:43] (step=0002206) Train Loss: 1.2741, Train Steps/Sec: 0.03, Epoch: 6.412790697674419, LR: 0.001
[2025-04-19 14:42:13] (step=0002207) Train Loss: 1.2089, Train Steps/Sec: 0.03, Epoch: 6.415697674418604, LR: 0.001
[2025-04-19 14:42:28] (step=0001338) Train Loss: 0.6709, Train Steps/Sec: 0.02, Epoch: 3.88953488372093, LR: 0.001
[2025-04-19 14:42:43] (step=0002208) Train Loss: 1.2821, Train Steps/Sec: 0.03, Epoch: 6.4186046511627906, LR: 0.001
[2025-04-19 14:43:13] (step=0002209) Train Loss: 1.3182, Train Steps/Sec: 0.03, Epoch: 6.421511627906977, LR: 0.001
[2025-04-19 14:43:17] (step=0001339) Train Loss: 0.7234, Train Steps/Sec: 0.02, Epoch: 3.8924418604651163, LR: 0.001
[2025-04-19 14:43:42] (step=0002210) Train Loss: 1.2239, Train Steps/Sec: 0.03, Epoch: 6.424418604651163, LR: 0.001
[2025-04-19 14:44:05] (step=0001340) Train Loss: 0.7739, Train Steps/Sec: 0.02, Epoch: 3.895348837209302, LR: 0.001
[2025-04-19 14:44:12] (step=0002211) Train Loss: 1.3405, Train Steps/Sec: 0.03, Epoch: 6.4273255813953485, LR: 0.001
[2025-04-19 14:44:41] (step=0002212) Train Loss: 1.2713, Train Steps/Sec: 0.03, Epoch: 6.430232558139535, LR: 0.001
[2025-04-19 14:44:53] (step=0001341) Train Loss: 0.6386, Train Steps/Sec: 0.02, Epoch: 3.8982558139534884, LR: 0.001
[2025-04-19 14:45:11] (step=0002213) Train Loss: 1.2869, Train Steps/Sec: 0.03, Epoch: 6.433139534883721, LR: 0.001
[2025-04-19 14:45:40] (step=0002214) Train Loss: 1.2443, Train Steps/Sec: 0.03, Epoch: 6.436046511627907, LR: 0.001
[2025-04-19 14:45:41] (step=0001342) Train Loss: 0.6736, Train Steps/Sec: 0.02, Epoch: 3.9011627906976742, LR: 0.001
[2025-04-19 14:46:10] (step=0002215) Train Loss: 1.2109, Train Steps/Sec: 0.03, Epoch: 6.438953488372093, LR: 0.001
[2025-04-19 14:46:30] (step=0001343) Train Loss: 0.5919, Train Steps/Sec: 0.02, Epoch: 3.9040697674418605, LR: 0.001
[2025-04-19 14:46:39] (step=0002216) Train Loss: 1.2255, Train Steps/Sec: 0.03, Epoch: 6.441860465116279, LR: 0.001
[2025-04-19 14:47:09] (step=0002217) Train Loss: 1.2326, Train Steps/Sec: 0.03, Epoch: 6.444767441860465, LR: 0.001
[2025-04-19 14:47:18] (step=0001344) Train Loss: 0.3371, Train Steps/Sec: 0.02, Epoch: 3.9069767441860463, LR: 0.001
[2025-04-19 14:47:38] (step=0002218) Train Loss: 1.3338, Train Steps/Sec: 0.03, Epoch: 6.4476744186046515, LR: 0.001
[2025-04-19 14:48:06] (step=0001345) Train Loss: 0.3820, Train Steps/Sec: 0.02, Epoch: 3.9098837209302326, LR: 0.001
[2025-04-19 14:48:08] (step=0002219) Train Loss: 1.2701, Train Steps/Sec: 0.03, Epoch: 6.450581395348837, LR: 0.001
[2025-04-19 14:48:38] (step=0002220) Train Loss: 1.2708, Train Steps/Sec: 0.03, Epoch: 6.453488372093023, LR: 0.001
[2025-04-19 14:48:54] (step=0001346) Train Loss: 0.8173, Train Steps/Sec: 0.02, Epoch: 3.9127906976744184, LR: 0.001
[2025-04-19 14:49:07] (step=0002221) Train Loss: 1.2807, Train Steps/Sec: 0.03, Epoch: 6.4563953488372094, LR: 0.001
[2025-04-19 14:49:37] (step=0002222) Train Loss: 1.2774, Train Steps/Sec: 0.03, Epoch: 6.459302325581396, LR: 0.001
[2025-04-19 14:49:43] (step=0001347) Train Loss: 0.6985, Train Steps/Sec: 0.02, Epoch: 3.9156976744186047, LR: 0.001
[2025-04-19 14:50:07] (step=0002223) Train Loss: 1.2160, Train Steps/Sec: 0.03, Epoch: 6.462209302325581, LR: 0.001
[2025-04-19 14:50:31] (step=0001348) Train Loss: 0.4691, Train Steps/Sec: 0.02, Epoch: 3.9186046511627906, LR: 0.001
[2025-04-19 14:50:36] (step=0002224) Train Loss: 1.3892, Train Steps/Sec: 0.03, Epoch: 6.465116279069767, LR: 0.001
[2025-04-19 14:51:06] (step=0002225) Train Loss: 1.2125, Train Steps/Sec: 0.03, Epoch: 6.468023255813954, LR: 0.001
[2025-04-19 14:51:19] (step=0001349) Train Loss: 0.3770, Train Steps/Sec: 0.02, Epoch: 3.921511627906977, LR: 0.001
[2025-04-19 14:51:35] (step=0002226) Train Loss: 1.2396, Train Steps/Sec: 0.03, Epoch: 6.47093023255814, LR: 0.001
[2025-04-19 14:52:05] (step=0002227) Train Loss: 1.2357, Train Steps/Sec: 0.03, Epoch: 6.473837209302325, LR: 0.001
[2025-04-19 14:52:07] (step=0001350) Train Loss: 0.8695, Train Steps/Sec: 0.02, Epoch: 3.9244186046511627, LR: 0.001
[2025-04-19 14:52:34] (step=0002228) Train Loss: 1.2139, Train Steps/Sec: 0.03, Epoch: 6.476744186046512, LR: 0.001
[2025-04-19 14:52:55] (step=0001351) Train Loss: 0.6845, Train Steps/Sec: 0.02, Epoch: 3.927325581395349, LR: 0.001
[2025-04-19 14:53:04] (step=0002229) Train Loss: 1.2953, Train Steps/Sec: 0.03, Epoch: 6.479651162790698, LR: 0.001
[2025-04-19 14:53:33] (step=0002230) Train Loss: 1.2589, Train Steps/Sec: 0.03, Epoch: 6.482558139534884, LR: 0.001
[2025-04-19 14:53:44] (step=0001352) Train Loss: 0.5290, Train Steps/Sec: 0.02, Epoch: 3.9302325581395348, LR: 0.001
[2025-04-19 14:54:03] (step=0002231) Train Loss: 1.2699, Train Steps/Sec: 0.03, Epoch: 6.4854651162790695, LR: 0.001
[2025-04-19 14:54:32] (step=0001353) Train Loss: 0.7342, Train Steps/Sec: 0.02, Epoch: 3.933139534883721, LR: 0.001
[2025-04-19 14:54:33] (step=0002232) Train Loss: 1.2527, Train Steps/Sec: 0.03, Epoch: 6.488372093023256, LR: 0.001
[2025-04-19 14:55:03] (step=0002233) Train Loss: 1.2396, Train Steps/Sec: 0.03, Epoch: 6.491279069767442, LR: 0.001
[2025-04-19 14:55:20] (step=0001354) Train Loss: 0.5400, Train Steps/Sec: 0.02, Epoch: 3.936046511627907, LR: 0.001
[2025-04-19 14:55:32] (step=0002234) Train Loss: 1.2632, Train Steps/Sec: 0.03, Epoch: 6.494186046511628, LR: 0.001
[2025-04-19 14:56:02] (step=0002235) Train Loss: 1.2509, Train Steps/Sec: 0.03, Epoch: 6.497093023255814, LR: 0.001
[2025-04-19 14:56:09] (step=0001355) Train Loss: 0.6298, Train Steps/Sec: 0.02, Epoch: 3.938953488372093, LR: 0.001
[2025-04-19 14:56:32] (step=0002236) Train Loss: 1.2231, Train Steps/Sec: 0.03, Epoch: 6.5, LR: 0.001
[2025-04-19 14:56:57] (step=0001356) Train Loss: 0.6988, Train Steps/Sec: 0.02, Epoch: 3.941860465116279, LR: 0.001
[2025-04-19 14:57:01] (step=0002237) Train Loss: 1.1939, Train Steps/Sec: 0.03, Epoch: 6.502906976744186, LR: 0.001
[2025-04-19 14:57:31] (step=0002238) Train Loss: 1.3086, Train Steps/Sec: 0.03, Epoch: 6.505813953488372, LR: 0.001
[2025-04-19 14:57:45] (step=0001357) Train Loss: 0.6433, Train Steps/Sec: 0.02, Epoch: 3.9447674418604652, LR: 0.001
[2025-04-19 14:58:01] (step=0002239) Train Loss: 1.2691, Train Steps/Sec: 0.03, Epoch: 6.508720930232558, LR: 0.001
[2025-04-19 14:58:30] (step=0002240) Train Loss: 1.2530, Train Steps/Sec: 0.03, Epoch: 6.511627906976744, LR: 0.001
[2025-04-19 14:58:34] (step=0001358) Train Loss: 0.4224, Train Steps/Sec: 0.02, Epoch: 3.947674418604651, LR: 0.001
[2025-04-19 14:59:00] (step=0002241) Train Loss: 1.2812, Train Steps/Sec: 0.03, Epoch: 6.5145348837209305, LR: 0.001
[2025-04-19 14:59:22] (step=0001359) Train Loss: 0.8765, Train Steps/Sec: 0.02, Epoch: 3.9505813953488373, LR: 0.001
[2025-04-19 14:59:29] (step=0002242) Train Loss: 1.2742, Train Steps/Sec: 0.03, Epoch: 6.517441860465116, LR: 0.001
[2025-04-19 14:59:59] (step=0002243) Train Loss: 1.2414, Train Steps/Sec: 0.03, Epoch: 6.520348837209302, LR: 0.001
[2025-04-19 15:00:10] (step=0001360) Train Loss: 0.7837, Train Steps/Sec: 0.02, Epoch: 3.953488372093023, LR: 0.001
[2025-04-19 15:00:28] (step=0002244) Train Loss: 1.2089, Train Steps/Sec: 0.03, Epoch: 6.523255813953488, LR: 0.001
[2025-04-19 15:00:58] (step=0002245) Train Loss: 1.2776, Train Steps/Sec: 0.03, Epoch: 6.526162790697675, LR: 0.001
[2025-04-19 15:00:58] (step=0001361) Train Loss: 0.7732, Train Steps/Sec: 0.02, Epoch: 3.9563953488372094, LR: 0.001
[2025-04-19 15:01:27] (step=0002246) Train Loss: 1.2465, Train Steps/Sec: 0.03, Epoch: 6.52906976744186, LR: 0.001
[2025-04-19 15:01:46] (step=0001362) Train Loss: 0.8015, Train Steps/Sec: 0.02, Epoch: 3.9593023255813953, LR: 0.001
[2025-04-19 15:01:57] (step=0002247) Train Loss: 1.2804, Train Steps/Sec: 0.03, Epoch: 6.531976744186046, LR: 0.001
[2025-04-19 15:02:27] (step=0002248) Train Loss: 1.2912, Train Steps/Sec: 0.03, Epoch: 6.534883720930233, LR: 0.001
[2025-04-19 15:02:35] (step=0001363) Train Loss: 0.7938, Train Steps/Sec: 0.02, Epoch: 3.9622093023255816, LR: 0.001
[2025-04-19 15:02:56] (step=0002249) Train Loss: 1.1880, Train Steps/Sec: 0.03, Epoch: 6.537790697674419, LR: 0.001
[2025-04-19 15:03:23] (step=0001364) Train Loss: 0.7812, Train Steps/Sec: 0.02, Epoch: 3.9651162790697674, LR: 0.001
[2025-04-19 15:03:26] (step=0002250) Train Loss: 1.3815, Train Steps/Sec: 0.03, Epoch: 6.540697674418604, LR: 0.001
[2025-04-19 15:03:55] (step=0002251) Train Loss: 1.3072, Train Steps/Sec: 0.03, Epoch: 6.5436046511627906, LR: 0.001
[2025-04-19 15:04:11] (step=0001365) Train Loss: 0.6363, Train Steps/Sec: 0.02, Epoch: 3.9680232558139537, LR: 0.001
[2025-04-19 15:04:25] (step=0002252) Train Loss: 1.2320, Train Steps/Sec: 0.03, Epoch: 6.546511627906977, LR: 0.001
[2025-04-19 15:04:55] (step=0002253) Train Loss: 1.3356, Train Steps/Sec: 0.03, Epoch: 6.549418604651163, LR: 0.001
[2025-04-19 15:05:00] (step=0001366) Train Loss: 0.7573, Train Steps/Sec: 0.02, Epoch: 3.9709302325581395, LR: 0.001
[2025-04-19 15:05:24] (step=0002254) Train Loss: 1.3932, Train Steps/Sec: 0.03, Epoch: 6.5523255813953485, LR: 0.001
[2025-04-19 15:05:48] (step=0001367) Train Loss: 0.7144, Train Steps/Sec: 0.02, Epoch: 3.9738372093023258, LR: 0.001
[2025-04-19 15:05:54] (step=0002255) Train Loss: 1.2446, Train Steps/Sec: 0.03, Epoch: 6.555232558139535, LR: 0.001
[2025-04-19 15:06:24] (step=0002256) Train Loss: 1.3088, Train Steps/Sec: 0.03, Epoch: 6.558139534883721, LR: 0.001
[2025-04-19 15:06:37] (step=0001368) Train Loss: 0.7058, Train Steps/Sec: 0.02, Epoch: 3.9767441860465116, LR: 0.001
[2025-04-19 15:06:53] (step=0002257) Train Loss: 1.2762, Train Steps/Sec: 0.03, Epoch: 6.561046511627907, LR: 0.001
[2025-04-19 15:07:23] (step=0002258) Train Loss: 1.4761, Train Steps/Sec: 0.03, Epoch: 6.563953488372093, LR: 0.001
[2025-04-19 15:07:25] (step=0001369) Train Loss: 0.4305, Train Steps/Sec: 0.02, Epoch: 3.979651162790698, LR: 0.001
[2025-04-19 15:07:53] (step=0002259) Train Loss: 1.2709, Train Steps/Sec: 0.03, Epoch: 6.566860465116279, LR: 0.001
[2025-04-19 15:08:13] (step=0001370) Train Loss: 0.7209, Train Steps/Sec: 0.02, Epoch: 3.9825581395348837, LR: 0.001
[2025-04-19 15:08:22] (step=0002260) Train Loss: 1.3241, Train Steps/Sec: 0.03, Epoch: 6.569767441860465, LR: 0.001
[2025-04-19 15:08:52] (step=0002261) Train Loss: 1.3323, Train Steps/Sec: 0.03, Epoch: 6.5726744186046515, LR: 0.001
[2025-04-19 15:09:01] (step=0001371) Train Loss: 0.6944, Train Steps/Sec: 0.02, Epoch: 3.98546511627907, LR: 0.001
[2025-04-19 15:09:21] (step=0002262) Train Loss: 1.2410, Train Steps/Sec: 0.03, Epoch: 6.575581395348837, LR: 0.001
[2025-04-19 15:09:49] (step=0001372) Train Loss: 0.6753, Train Steps/Sec: 0.02, Epoch: 3.988372093023256, LR: 0.001
[2025-04-19 15:09:51] (step=0002263) Train Loss: 1.2649, Train Steps/Sec: 0.03, Epoch: 6.578488372093023, LR: 0.001
[2025-04-19 15:10:21] (step=0002264) Train Loss: 1.1875, Train Steps/Sec: 0.03, Epoch: 6.5813953488372094, LR: 0.001
[2025-04-19 15:10:37] (step=0001373) Train Loss: 0.7330, Train Steps/Sec: 0.02, Epoch: 3.991279069767442, LR: 0.001
[2025-04-19 15:10:50] (step=0002265) Train Loss: 1.2310, Train Steps/Sec: 0.03, Epoch: 6.584302325581396, LR: 0.001
[2025-04-19 15:11:20] (step=0002266) Train Loss: 1.2339, Train Steps/Sec: 0.03, Epoch: 6.587209302325581, LR: 0.001
[2025-04-19 15:11:26] (step=0001374) Train Loss: 0.5348, Train Steps/Sec: 0.02, Epoch: 3.994186046511628, LR: 0.001
[2025-04-19 15:11:49] (step=0002267) Train Loss: 1.2828, Train Steps/Sec: 0.03, Epoch: 6.590116279069767, LR: 0.001
[2025-04-19 15:12:14] (step=0001375) Train Loss: 0.7602, Train Steps/Sec: 0.02, Epoch: 3.997093023255814, LR: 0.001
[2025-04-19 15:12:19] (step=0002268) Train Loss: 1.2384, Train Steps/Sec: 0.03, Epoch: 6.593023255813954, LR: 0.001
[2025-04-19 15:12:49] (step=0002269) Train Loss: 1.1958, Train Steps/Sec: 0.03, Epoch: 6.59593023255814, LR: 0.001
[2025-04-19 15:13:03] (step=0001376) Train Loss: 0.6076, Train Steps/Sec: 0.02, Epoch: 4.0, LR: 0.001
[2025-04-19 15:13:03] Beginning epoch 4...
[2025-04-19 15:13:18] (step=0002270) Train Loss: 1.2763, Train Steps/Sec: 0.03, Epoch: 6.598837209302325, LR: 0.001
[2025-04-19 15:13:48] (step=0002271) Train Loss: 1.3545, Train Steps/Sec: 0.03, Epoch: 6.601744186046512, LR: 0.001
[2025-04-19 15:13:57] (step=0001377) Train Loss: 0.6757, Train Steps/Sec: 0.02, Epoch: 4.002906976744186, LR: 0.001
[2025-04-19 15:14:17] (step=0002272) Train Loss: 1.3080, Train Steps/Sec: 0.03, Epoch: 6.604651162790698, LR: 0.001
[2025-04-19 15:14:45] (step=0001378) Train Loss: 0.6002, Train Steps/Sec: 0.02, Epoch: 4.005813953488372, LR: 0.001
[2025-04-19 15:14:47] (step=0002273) Train Loss: 1.1710, Train Steps/Sec: 0.03, Epoch: 6.607558139534884, LR: 0.001
[2025-04-19 15:15:16] (step=0002274) Train Loss: 1.2101, Train Steps/Sec: 0.03, Epoch: 6.6104651162790695, LR: 0.001
[2025-04-19 15:15:34] (step=0001379) Train Loss: 0.6358, Train Steps/Sec: 0.02, Epoch: 4.008720930232558, LR: 0.001
[2025-04-19 15:15:46] (step=0002275) Train Loss: 1.3406, Train Steps/Sec: 0.03, Epoch: 6.613372093023256, LR: 0.001
[2025-04-19 15:16:15] (step=0002276) Train Loss: 1.3056, Train Steps/Sec: 0.03, Epoch: 6.616279069767442, LR: 0.001
[2025-04-19 15:16:22] (step=0001380) Train Loss: 0.4991, Train Steps/Sec: 0.02, Epoch: 4.011627906976744, LR: 0.001
[2025-04-19 15:16:45] (step=0002277) Train Loss: 1.2821, Train Steps/Sec: 0.03, Epoch: 6.619186046511628, LR: 0.001
[2025-04-19 15:17:10] (step=0001381) Train Loss: 0.3876, Train Steps/Sec: 0.02, Epoch: 4.0145348837209305, LR: 0.001
[2025-04-19 15:17:15] (step=0002278) Train Loss: 1.2681, Train Steps/Sec: 0.03, Epoch: 6.622093023255814, LR: 0.001
[2025-04-19 15:17:45] (step=0002279) Train Loss: 1.3173, Train Steps/Sec: 0.03, Epoch: 6.625, LR: 0.001
[2025-04-19 15:17:59] (step=0001382) Train Loss: 0.7367, Train Steps/Sec: 0.02, Epoch: 4.017441860465116, LR: 0.001
[2025-04-19 15:18:14] (step=0002280) Train Loss: 1.2473, Train Steps/Sec: 0.03, Epoch: 6.627906976744186, LR: 0.001
[2025-04-19 15:18:44] (step=0002281) Train Loss: 1.2514, Train Steps/Sec: 0.03, Epoch: 6.630813953488372, LR: 0.001
[2025-04-19 15:18:47] (step=0001383) Train Loss: 0.5443, Train Steps/Sec: 0.02, Epoch: 4.020348837209302, LR: 0.001
[2025-04-19 15:19:14] (step=0002282) Train Loss: 1.2567, Train Steps/Sec: 0.03, Epoch: 6.633720930232558, LR: 0.001
[2025-04-19 15:19:35] (step=0001384) Train Loss: 0.3890, Train Steps/Sec: 0.02, Epoch: 4.023255813953488, LR: 0.001
[2025-04-19 15:19:43] (step=0002283) Train Loss: 1.3083, Train Steps/Sec: 0.03, Epoch: 6.636627906976744, LR: 0.001
[2025-04-19 15:20:13] (step=0002284) Train Loss: 1.2313, Train Steps/Sec: 0.03, Epoch: 6.6395348837209305, LR: 0.001
[2025-04-19 15:20:24] (step=0001385) Train Loss: 0.7857, Train Steps/Sec: 0.02, Epoch: 4.026162790697675, LR: 0.001
[2025-04-19 15:20:42] (step=0002285) Train Loss: 1.2295, Train Steps/Sec: 0.03, Epoch: 6.642441860465116, LR: 0.001
[2025-04-19 15:21:12] (step=0001386) Train Loss: 0.5144, Train Steps/Sec: 0.02, Epoch: 4.02906976744186, LR: 0.001
[2025-04-19 15:21:12] (step=0002286) Train Loss: 1.2766, Train Steps/Sec: 0.03, Epoch: 6.645348837209302, LR: 0.001
[2025-04-19 15:21:42] (step=0002287) Train Loss: 1.2179, Train Steps/Sec: 0.03, Epoch: 6.648255813953488, LR: 0.001
[2025-04-19 15:22:00] (step=0001387) Train Loss: 0.8067, Train Steps/Sec: 0.02, Epoch: 4.031976744186046, LR: 0.001
[2025-04-19 15:22:12] (step=0002288) Train Loss: 1.3583, Train Steps/Sec: 0.03, Epoch: 6.651162790697675, LR: 0.001
[2025-04-19 15:22:41] (step=0002289) Train Loss: 1.1944, Train Steps/Sec: 0.03, Epoch: 6.65406976744186, LR: 0.001
[2025-04-19 15:22:48] (step=0001388) Train Loss: 0.8253, Train Steps/Sec: 0.02, Epoch: 4.034883720930233, LR: 0.001
[2025-04-19 15:23:11] (step=0002290) Train Loss: 1.2378, Train Steps/Sec: 0.03, Epoch: 6.656976744186046, LR: 0.001
[2025-04-19 15:23:36] (step=0001389) Train Loss: 0.8659, Train Steps/Sec: 0.02, Epoch: 4.037790697674419, LR: 0.001
[2025-04-19 15:23:40] (step=0002291) Train Loss: 1.1953, Train Steps/Sec: 0.03, Epoch: 6.659883720930233, LR: 0.001
[2025-04-19 15:24:09] (step=0002292) Train Loss: 1.2788, Train Steps/Sec: 0.03, Epoch: 6.662790697674419, LR: 0.001
[2025-04-19 15:24:25] (step=0001390) Train Loss: 0.8596, Train Steps/Sec: 0.02, Epoch: 4.040697674418604, LR: 0.001
[2025-04-19 15:24:39] (step=0002293) Train Loss: 1.3391, Train Steps/Sec: 0.03, Epoch: 6.665697674418604, LR: 0.001
[2025-04-19 15:25:09] (step=0002294) Train Loss: 1.2264, Train Steps/Sec: 0.03, Epoch: 6.6686046511627906, LR: 0.001
[2025-04-19 15:25:13] (step=0001391) Train Loss: 0.8819, Train Steps/Sec: 0.02, Epoch: 4.0436046511627906, LR: 0.001
[2025-04-19 15:25:38] (step=0002295) Train Loss: 1.3244, Train Steps/Sec: 0.03, Epoch: 6.671511627906977, LR: 0.001
[2025-04-19 15:26:02] (step=0001392) Train Loss: 0.8115, Train Steps/Sec: 0.02, Epoch: 4.046511627906977, LR: 0.001
[2025-04-19 15:26:08] (step=0002296) Train Loss: 1.2451, Train Steps/Sec: 0.03, Epoch: 6.674418604651163, LR: 0.001
[2025-04-19 15:26:37] (step=0002297) Train Loss: 1.2588, Train Steps/Sec: 0.03, Epoch: 6.6773255813953485, LR: 0.001
[2025-04-19 15:26:50] (step=0001393) Train Loss: 0.5070, Train Steps/Sec: 0.02, Epoch: 4.049418604651163, LR: 0.001
[2025-04-19 15:27:07] (step=0002298) Train Loss: 1.3674, Train Steps/Sec: 0.03, Epoch: 6.680232558139535, LR: 0.001
[2025-04-19 15:27:37] (step=0002299) Train Loss: 1.2459, Train Steps/Sec: 0.03, Epoch: 6.683139534883721, LR: 0.001
[2025-04-19 15:27:39] (step=0001394) Train Loss: 0.6987, Train Steps/Sec: 0.02, Epoch: 4.0523255813953485, LR: 0.001
[2025-04-19 15:28:06] (step=0002300) Train Loss: 1.1803, Train Steps/Sec: 0.03, Epoch: 6.686046511627907, LR: 0.001
[2025-04-19 15:28:27] (step=0001395) Train Loss: 0.8725, Train Steps/Sec: 0.02, Epoch: 4.055232558139535, LR: 0.001
[2025-04-19 15:28:36] (step=0002301) Train Loss: 1.2340, Train Steps/Sec: 0.03, Epoch: 6.688953488372093, LR: 0.001
[2025-04-19 15:29:05] (step=0002302) Train Loss: 1.2215, Train Steps/Sec: 0.03, Epoch: 6.691860465116279, LR: 0.001
[2025-04-19 15:29:15] (step=0001396) Train Loss: 0.3794, Train Steps/Sec: 0.02, Epoch: 4.058139534883721, LR: 0.001
[2025-04-19 15:29:35] (step=0002303) Train Loss: 1.3521, Train Steps/Sec: 0.03, Epoch: 6.694767441860465, LR: 0.001
[2025-04-19 15:30:03] (step=0001397) Train Loss: 0.6407, Train Steps/Sec: 0.02, Epoch: 4.061046511627907, LR: 0.001
[2025-04-19 15:30:04] (step=0002304) Train Loss: 1.1993, Train Steps/Sec: 0.03, Epoch: 6.6976744186046515, LR: 0.001
[2025-04-19 15:30:34] (step=0002305) Train Loss: 1.2398, Train Steps/Sec: 0.03, Epoch: 6.700581395348837, LR: 0.001
[2025-04-19 15:30:52] (step=0001398) Train Loss: 0.7409, Train Steps/Sec: 0.02, Epoch: 4.063953488372093, LR: 0.001
[2025-04-19 15:31:04] (step=0002306) Train Loss: 1.2636, Train Steps/Sec: 0.03, Epoch: 6.703488372093023, LR: 0.001
[2025-04-19 15:31:33] (step=0002307) Train Loss: 1.2780, Train Steps/Sec: 0.03, Epoch: 6.7063953488372094, LR: 0.001
[2025-04-19 15:31:40] (step=0001399) Train Loss: 0.6325, Train Steps/Sec: 0.02, Epoch: 4.066860465116279, LR: 0.001
[2025-04-19 15:32:03] (step=0002308) Train Loss: 1.2817, Train Steps/Sec: 0.03, Epoch: 6.709302325581396, LR: 0.001
[2025-04-19 15:32:28] (step=0001400) Train Loss: 0.8496, Train Steps/Sec: 0.02, Epoch: 4.069767441860465, LR: 0.001
[2025-04-19 15:32:33] (step=0002309) Train Loss: 1.2576, Train Steps/Sec: 0.03, Epoch: 6.712209302325581, LR: 0.001
[2025-04-19 15:32:42] Saved checkpoint to ./results/sfm_based//checkpoints/0001400/
[2025-04-19 15:33:02] (step=0002310) Train Loss: 1.1785, Train Steps/Sec: 0.03, Epoch: 6.715116279069767, LR: 0.001
[2025-04-19 15:33:30] (step=0001401) Train Loss: 0.3790, Train Steps/Sec: 0.02, Epoch: 4.0726744186046515, LR: 0.001
[2025-04-19 15:33:32] (step=0002311) Train Loss: 1.2387, Train Steps/Sec: 0.03, Epoch: 6.718023255813954, LR: 0.001
[2025-04-19 15:34:02] (step=0002312) Train Loss: 1.2218, Train Steps/Sec: 0.03, Epoch: 6.72093023255814, LR: 0.001
[2025-04-19 15:34:18] (step=0001402) Train Loss: 0.8536, Train Steps/Sec: 0.02, Epoch: 4.075581395348837, LR: 0.001
[2025-04-19 15:34:31] (step=0002313) Train Loss: 1.4176, Train Steps/Sec: 0.03, Epoch: 6.723837209302325, LR: 0.001
[2025-04-19 15:35:01] (step=0002314) Train Loss: 1.3281, Train Steps/Sec: 0.03, Epoch: 6.726744186046512, LR: 0.001
[2025-04-19 15:35:07] (step=0001403) Train Loss: 0.8188, Train Steps/Sec: 0.02, Epoch: 4.078488372093023, LR: 0.001
[2025-04-19 15:35:30] (step=0002315) Train Loss: 1.1595, Train Steps/Sec: 0.03, Epoch: 6.729651162790698, LR: 0.001
[2025-04-19 15:35:55] (step=0001404) Train Loss: 0.8279, Train Steps/Sec: 0.02, Epoch: 4.0813953488372094, LR: 0.001
[2025-04-19 15:36:00] (step=0002316) Train Loss: 1.3021, Train Steps/Sec: 0.03, Epoch: 6.732558139534884, LR: 0.001
[2025-04-19 15:36:30] (step=0002317) Train Loss: 1.2166, Train Steps/Sec: 0.03, Epoch: 6.7354651162790695, LR: 0.001
[2025-04-19 15:36:44] (step=0001405) Train Loss: 0.7575, Train Steps/Sec: 0.02, Epoch: 4.084302325581396, LR: 0.001
[2025-04-19 15:36:59] (step=0002318) Train Loss: 1.1757, Train Steps/Sec: 0.03, Epoch: 6.738372093023256, LR: 0.001
[2025-04-19 15:37:29] (step=0002319) Train Loss: 1.1381, Train Steps/Sec: 0.03, Epoch: 6.741279069767442, LR: 0.001
[2025-04-19 15:37:32] (step=0001406) Train Loss: 0.5182, Train Steps/Sec: 0.02, Epoch: 4.087209302325581, LR: 0.001
[2025-04-19 15:37:59] (step=0002320) Train Loss: 1.1613, Train Steps/Sec: 0.03, Epoch: 6.744186046511628, LR: 0.001
[2025-04-19 15:38:20] (step=0001407) Train Loss: 0.3521, Train Steps/Sec: 0.02, Epoch: 4.090116279069767, LR: 0.001
[2025-04-19 15:38:28] (step=0002321) Train Loss: 1.3018, Train Steps/Sec: 0.03, Epoch: 6.747093023255814, LR: 0.001
[2025-04-19 15:38:57] (step=0002322) Train Loss: 1.1168, Train Steps/Sec: 0.03, Epoch: 6.75, LR: 0.001
[2025-04-19 15:39:08] (step=0001408) Train Loss: 0.7695, Train Steps/Sec: 0.02, Epoch: 4.093023255813954, LR: 0.001
[2025-04-19 15:39:27] (step=0002323) Train Loss: 1.1513, Train Steps/Sec: 0.03, Epoch: 6.752906976744186, LR: 0.001
[2025-04-19 15:39:57] (step=0001409) Train Loss: 0.7084, Train Steps/Sec: 0.02, Epoch: 4.09593023255814, LR: 0.001
[2025-04-19 15:39:57] (step=0002324) Train Loss: 1.2240, Train Steps/Sec: 0.03, Epoch: 6.755813953488372, LR: 0.001
[2025-04-19 15:40:27] (step=0002325) Train Loss: 1.1743, Train Steps/Sec: 0.03, Epoch: 6.758720930232558, LR: 0.001
[2025-04-19 15:40:45] (step=0001410) Train Loss: 0.8125, Train Steps/Sec: 0.02, Epoch: 4.098837209302325, LR: 0.001
[2025-04-19 15:40:56] (step=0002326) Train Loss: 1.1184, Train Steps/Sec: 0.03, Epoch: 6.761627906976744, LR: 0.001
[2025-04-19 15:41:26] (step=0002327) Train Loss: 1.4279, Train Steps/Sec: 0.03, Epoch: 6.7645348837209305, LR: 0.001
[2025-04-19 15:41:34] (step=0001411) Train Loss: 0.7638, Train Steps/Sec: 0.02, Epoch: 4.101744186046512, LR: 0.001
[2025-04-19 15:41:55] (step=0002328) Train Loss: 1.1686, Train Steps/Sec: 0.03, Epoch: 6.767441860465116, LR: 0.001
[2025-04-19 15:42:22] (step=0001412) Train Loss: 0.6535, Train Steps/Sec: 0.02, Epoch: 4.104651162790698, LR: 0.001
[2025-04-19 15:42:25] (step=0002329) Train Loss: 1.1580, Train Steps/Sec: 0.03, Epoch: 6.770348837209302, LR: 0.001
[2025-04-19 15:42:55] (step=0002330) Train Loss: 1.1636, Train Steps/Sec: 0.03, Epoch: 6.773255813953488, LR: 0.001
[2025-04-19 15:43:10] (step=0001413) Train Loss: 0.7590, Train Steps/Sec: 0.02, Epoch: 4.107558139534884, LR: 0.001
[2025-04-19 15:43:24] (step=0002331) Train Loss: 1.1951, Train Steps/Sec: 0.03, Epoch: 6.776162790697675, LR: 0.001
[2025-04-19 15:43:54] (step=0002332) Train Loss: 1.1949, Train Steps/Sec: 0.03, Epoch: 6.77906976744186, LR: 0.001
[2025-04-19 15:43:59] (step=0001414) Train Loss: 0.7264, Train Steps/Sec: 0.02, Epoch: 4.1104651162790695, LR: 0.001
[2025-04-19 15:44:23] (step=0002333) Train Loss: 1.4808, Train Steps/Sec: 0.03, Epoch: 6.781976744186046, LR: 0.001
[2025-04-19 15:44:47] (step=0001415) Train Loss: 0.5741, Train Steps/Sec: 0.02, Epoch: 4.113372093023256, LR: 0.001
[2025-04-19 15:44:53] (step=0002334) Train Loss: 1.1289, Train Steps/Sec: 0.03, Epoch: 6.784883720930233, LR: 0.001
[2025-04-19 15:45:22] (step=0002335) Train Loss: 1.1708, Train Steps/Sec: 0.03, Epoch: 6.787790697674419, LR: 0.001
[2025-04-19 15:45:35] (step=0001416) Train Loss: 0.5951, Train Steps/Sec: 0.02, Epoch: 4.116279069767442, LR: 0.001
[2025-04-19 15:45:52] (step=0002336) Train Loss: 1.1545, Train Steps/Sec: 0.03, Epoch: 6.790697674418604, LR: 0.001
[2025-04-19 15:46:22] (step=0002337) Train Loss: 1.1770, Train Steps/Sec: 0.03, Epoch: 6.7936046511627906, LR: 0.001
[2025-04-19 15:46:23] (step=0001417) Train Loss: 0.7635, Train Steps/Sec: 0.02, Epoch: 4.119186046511628, LR: 0.001
[2025-04-19 15:46:51] (step=0002338) Train Loss: 1.0703, Train Steps/Sec: 0.03, Epoch: 6.796511627906977, LR: 0.001
[2025-04-19 15:47:11] (step=0001418) Train Loss: 0.7063, Train Steps/Sec: 0.02, Epoch: 4.122093023255814, LR: 0.001
[2025-04-19 15:47:21] (step=0002339) Train Loss: 1.2210, Train Steps/Sec: 0.03, Epoch: 6.799418604651163, LR: 0.001
[2025-04-19 15:47:50] (step=0002340) Train Loss: 1.1917, Train Steps/Sec: 0.03, Epoch: 6.8023255813953485, LR: 0.001
[2025-04-19 15:48:00] (step=0001419) Train Loss: 0.5225, Train Steps/Sec: 0.02, Epoch: 4.125, LR: 0.001
[2025-04-19 15:48:20] (step=0002341) Train Loss: 1.1594, Train Steps/Sec: 0.03, Epoch: 6.805232558139535, LR: 0.001
[2025-04-19 15:48:48] (step=0001420) Train Loss: 0.7972, Train Steps/Sec: 0.02, Epoch: 4.127906976744186, LR: 0.001
[2025-04-19 15:48:50] (step=0002342) Train Loss: 1.2457, Train Steps/Sec: 0.03, Epoch: 6.808139534883721, LR: 0.001
[2025-04-19 15:49:20] (step=0002343) Train Loss: 1.2111, Train Steps/Sec: 0.03, Epoch: 6.811046511627907, LR: 0.001
[2025-04-19 15:49:36] (step=0001421) Train Loss: 0.8637, Train Steps/Sec: 0.02, Epoch: 4.130813953488372, LR: 0.001
[2025-04-19 15:49:49] (step=0002344) Train Loss: 1.3961, Train Steps/Sec: 0.03, Epoch: 6.813953488372093, LR: 0.001
[2025-04-19 15:50:19] (step=0002345) Train Loss: 1.1557, Train Steps/Sec: 0.03, Epoch: 6.816860465116279, LR: 0.001
[2025-04-19 15:50:25] (step=0001422) Train Loss: 0.6879, Train Steps/Sec: 0.02, Epoch: 4.133720930232558, LR: 0.001
[2025-04-19 15:50:48] (step=0002346) Train Loss: 1.2211, Train Steps/Sec: 0.03, Epoch: 6.819767441860465, LR: 0.001
[2025-04-19 15:51:13] (step=0001423) Train Loss: 0.6794, Train Steps/Sec: 0.02, Epoch: 4.136627906976744, LR: 0.001
[2025-04-19 15:51:18] (step=0002347) Train Loss: 1.1481, Train Steps/Sec: 0.03, Epoch: 6.8226744186046515, LR: 0.001
[2025-04-19 15:51:48] (step=0002348) Train Loss: 1.1927, Train Steps/Sec: 0.03, Epoch: 6.825581395348837, LR: 0.001
[2025-04-19 15:52:01] (step=0001424) Train Loss: 0.5761, Train Steps/Sec: 0.02, Epoch: 4.1395348837209305, LR: 0.001
[2025-04-19 15:52:18] (step=0002349) Train Loss: 1.4641, Train Steps/Sec: 0.03, Epoch: 6.828488372093023, LR: 0.001
[2025-04-19 15:52:47] (step=0002350) Train Loss: 1.2637, Train Steps/Sec: 0.03, Epoch: 6.8313953488372094, LR: 0.001
[2025-04-19 15:52:50] (step=0001425) Train Loss: 0.6394, Train Steps/Sec: 0.02, Epoch: 4.142441860465116, LR: 0.001
[2025-04-19 15:53:17] (step=0002351) Train Loss: 1.1278, Train Steps/Sec: 0.03, Epoch: 6.834302325581396, LR: 0.001
[2025-04-19 15:53:38] (step=0001426) Train Loss: 0.7449, Train Steps/Sec: 0.02, Epoch: 4.145348837209302, LR: 0.001
[2025-04-19 15:53:47] (step=0002352) Train Loss: 1.1566, Train Steps/Sec: 0.03, Epoch: 6.837209302325581, LR: 0.001
[2025-04-19 15:54:16] (step=0002353) Train Loss: 1.1718, Train Steps/Sec: 0.03, Epoch: 6.840116279069767, LR: 0.001
[2025-04-19 15:54:26] (step=0001427) Train Loss: 0.7725, Train Steps/Sec: 0.02, Epoch: 4.148255813953488, LR: 0.001
[2025-04-19 15:54:46] (step=0002354) Train Loss: 1.1300, Train Steps/Sec: 0.03, Epoch: 6.843023255813954, LR: 0.001
[2025-04-19 15:55:15] (step=0001428) Train Loss: 0.6146, Train Steps/Sec: 0.02, Epoch: 4.151162790697675, LR: 0.001
[2025-04-19 15:55:15] (step=0002355) Train Loss: 1.1538, Train Steps/Sec: 0.03, Epoch: 6.84593023255814, LR: 0.001
[2025-04-19 15:55:45] (step=0002356) Train Loss: 1.0961, Train Steps/Sec: 0.03, Epoch: 6.848837209302325, LR: 0.001
[2025-04-19 15:56:03] (step=0001429) Train Loss: 0.7880, Train Steps/Sec: 0.02, Epoch: 4.15406976744186, LR: 0.001
[2025-04-19 15:56:14] (step=0002357) Train Loss: 1.2101, Train Steps/Sec: 0.03, Epoch: 6.851744186046512, LR: 0.001
[2025-04-19 15:56:44] (step=0002358) Train Loss: 1.3754, Train Steps/Sec: 0.03, Epoch: 6.854651162790698, LR: 0.001
[2025-04-19 15:56:51] (step=0001430) Train Loss: 0.7047, Train Steps/Sec: 0.02, Epoch: 4.156976744186046, LR: 0.001
[2025-04-19 15:57:13] (step=0002359) Train Loss: 1.2442, Train Steps/Sec: 0.03, Epoch: 6.857558139534884, LR: 0.001
[2025-04-19 15:57:39] (step=0001431) Train Loss: 0.5839, Train Steps/Sec: 0.02, Epoch: 4.159883720930233, LR: 0.001
[2025-04-19 15:57:43] (step=0002360) Train Loss: 1.1918, Train Steps/Sec: 0.03, Epoch: 6.8604651162790695, LR: 0.001
[2025-04-19 15:58:12] (step=0002361) Train Loss: 1.1973, Train Steps/Sec: 0.03, Epoch: 6.863372093023256, LR: 0.001
[2025-04-19 15:58:27] (step=0001432) Train Loss: 0.3626, Train Steps/Sec: 0.02, Epoch: 4.162790697674419, LR: 0.001
[2025-04-19 15:58:42] (step=0002362) Train Loss: 1.2679, Train Steps/Sec: 0.03, Epoch: 6.866279069767442, LR: 0.001
[2025-04-19 15:59:11] (step=0002363) Train Loss: 1.2437, Train Steps/Sec: 0.03, Epoch: 6.869186046511628, LR: 0.001
[2025-04-19 15:59:16] (step=0001433) Train Loss: 0.5222, Train Steps/Sec: 0.02, Epoch: 4.165697674418604, LR: 0.001
[2025-04-19 15:59:41] (step=0002364) Train Loss: 1.1781, Train Steps/Sec: 0.03, Epoch: 6.872093023255814, LR: 0.001
[2025-04-19 16:00:04] (step=0001434) Train Loss: 0.7033, Train Steps/Sec: 0.02, Epoch: 4.1686046511627906, LR: 0.001
[2025-04-19 16:00:11] (step=0002365) Train Loss: 1.2945, Train Steps/Sec: 0.03, Epoch: 6.875, LR: 0.001
[2025-04-19 16:00:40] (step=0002366) Train Loss: 1.3158, Train Steps/Sec: 0.03, Epoch: 6.877906976744186, LR: 0.001
[2025-04-19 16:00:52] (step=0001435) Train Loss: 0.7899, Train Steps/Sec: 0.02, Epoch: 4.171511627906977, LR: 0.001
[2025-04-19 16:01:10] (step=0002367) Train Loss: 1.4195, Train Steps/Sec: 0.03, Epoch: 6.880813953488372, LR: 0.001
[2025-04-19 16:01:39] (step=0002368) Train Loss: 1.2591, Train Steps/Sec: 0.03, Epoch: 6.883720930232558, LR: 0.001
[2025-04-19 16:01:40] (step=0001436) Train Loss: 0.5112, Train Steps/Sec: 0.02, Epoch: 4.174418604651163, LR: 0.001
[2025-04-19 16:01:59] (step=0001437) Train Loss: 0.7802, Train Steps/Sec: 0.05, Epoch: 4.1773255813953485, LR: 0.001
[2025-04-19 16:02:09] (step=0002369) Train Loss: 1.2885, Train Steps/Sec: 0.03, Epoch: 6.886627906976744, LR: 0.001
[2025-04-19 16:02:39] (step=0002370) Train Loss: 1.2860, Train Steps/Sec: 0.03, Epoch: 6.8895348837209305, LR: 0.001
[2025-04-19 16:02:47] (step=0001438) Train Loss: 0.7340, Train Steps/Sec: 0.02, Epoch: 4.180232558139535, LR: 0.001
[2025-04-19 16:03:08] (step=0002371) Train Loss: 1.4048, Train Steps/Sec: 0.03, Epoch: 6.892441860465116, LR: 0.001
[2025-04-19 16:03:36] (step=0001439) Train Loss: 0.7953, Train Steps/Sec: 0.02, Epoch: 4.183139534883721, LR: 0.001
[2025-04-19 16:03:38] (step=0002372) Train Loss: 1.2618, Train Steps/Sec: 0.03, Epoch: 6.895348837209302, LR: 0.001
[2025-04-19 16:04:07] (step=0002373) Train Loss: 1.2482, Train Steps/Sec: 0.03, Epoch: 6.898255813953488, LR: 0.001
[2025-04-19 16:04:24] (step=0001440) Train Loss: 0.6725, Train Steps/Sec: 0.02, Epoch: 4.186046511627907, LR: 0.001
[2025-04-19 16:04:37] (step=0002374) Train Loss: 1.1252, Train Steps/Sec: 0.03, Epoch: 6.901162790697675, LR: 0.001
[2025-04-19 16:05:07] (step=0002375) Train Loss: 1.2677, Train Steps/Sec: 0.03, Epoch: 6.90406976744186, LR: 0.001
[2025-04-19 16:05:12] (step=0001441) Train Loss: 0.4631, Train Steps/Sec: 0.02, Epoch: 4.188953488372093, LR: 0.001
[2025-04-19 16:05:36] (step=0002376) Train Loss: 1.1123, Train Steps/Sec: 0.03, Epoch: 6.906976744186046, LR: 0.001
[2025-04-19 16:06:00] (step=0001442) Train Loss: 0.4609, Train Steps/Sec: 0.02, Epoch: 4.191860465116279, LR: 0.001
[2025-04-19 16:06:06] (step=0002377) Train Loss: 1.1575, Train Steps/Sec: 0.03, Epoch: 6.909883720930233, LR: 0.001
[2025-04-19 16:06:35] (step=0002378) Train Loss: 1.1969, Train Steps/Sec: 0.03, Epoch: 6.912790697674419, LR: 0.001
[2025-04-19 16:06:49] (step=0001443) Train Loss: 0.3716, Train Steps/Sec: 0.02, Epoch: 4.194767441860465, LR: 0.001
[2025-04-19 16:07:05] (step=0002379) Train Loss: 1.2305, Train Steps/Sec: 0.03, Epoch: 6.915697674418604, LR: 0.001
[2025-04-19 16:07:34] (step=0002380) Train Loss: 1.1924, Train Steps/Sec: 0.03, Epoch: 6.9186046511627906, LR: 0.001
[2025-04-19 16:07:37] (step=0001444) Train Loss: 0.6760, Train Steps/Sec: 0.02, Epoch: 4.1976744186046515, LR: 0.001
[2025-04-19 16:08:04] (step=0002381) Train Loss: 1.1672, Train Steps/Sec: 0.03, Epoch: 6.921511627906977, LR: 0.001
[2025-04-19 16:08:26] (step=0001445) Train Loss: 0.7589, Train Steps/Sec: 0.02, Epoch: 4.200581395348837, LR: 0.001
[2025-04-19 16:08:34] (step=0002382) Train Loss: 1.1218, Train Steps/Sec: 0.03, Epoch: 6.924418604651163, LR: 0.001
[2025-04-19 16:09:03] (step=0002383) Train Loss: 1.2786, Train Steps/Sec: 0.03, Epoch: 6.9273255813953485, LR: 0.001
[2025-04-19 16:09:14] (step=0001446) Train Loss: 0.8008, Train Steps/Sec: 0.02, Epoch: 4.203488372093023, LR: 0.001
[2025-04-19 16:09:33] (step=0002384) Train Loss: 1.2002, Train Steps/Sec: 0.03, Epoch: 6.930232558139535, LR: 0.001
[2025-04-19 16:10:02] (step=0001447) Train Loss: 0.5615, Train Steps/Sec: 0.02, Epoch: 4.2063953488372094, LR: 0.001
[2025-04-19 16:10:03] (step=0002385) Train Loss: 1.1834, Train Steps/Sec: 0.03, Epoch: 6.933139534883721, LR: 0.001
[2025-04-19 16:10:32] (step=0002386) Train Loss: 1.2275, Train Steps/Sec: 0.03, Epoch: 6.936046511627907, LR: 0.001
[2025-04-19 16:10:51] (step=0001448) Train Loss: 0.6374, Train Steps/Sec: 0.02, Epoch: 4.209302325581396, LR: 0.001
[2025-04-19 16:11:02] (step=0002387) Train Loss: 1.1167, Train Steps/Sec: 0.03, Epoch: 6.938953488372093, LR: 0.001
[2025-04-19 16:11:32] (step=0002388) Train Loss: 1.2865, Train Steps/Sec: 0.03, Epoch: 6.941860465116279, LR: 0.001
[2025-04-19 16:11:39] (step=0001449) Train Loss: 0.7458, Train Steps/Sec: 0.02, Epoch: 4.212209302325581, LR: 0.001
[2025-04-19 16:12:01] (step=0002389) Train Loss: 1.1959, Train Steps/Sec: 0.03, Epoch: 6.944767441860465, LR: 0.001
[2025-04-19 16:12:27] (step=0001450) Train Loss: 0.4888, Train Steps/Sec: 0.02, Epoch: 4.215116279069767, LR: 0.001
[2025-04-19 16:12:31] (step=0002390) Train Loss: 1.1272, Train Steps/Sec: 0.03, Epoch: 6.9476744186046515, LR: 0.001
[2025-04-19 16:13:01] (step=0002391) Train Loss: 1.1201, Train Steps/Sec: 0.03, Epoch: 6.950581395348837, LR: 0.001
[2025-04-19 16:13:16] (step=0001451) Train Loss: 0.4948, Train Steps/Sec: 0.02, Epoch: 4.218023255813954, LR: 0.001
[2025-04-19 16:13:30] (step=0002392) Train Loss: 1.0504, Train Steps/Sec: 0.03, Epoch: 6.953488372093023, LR: 0.001
[2025-04-19 16:14:00] (step=0002393) Train Loss: 1.0830, Train Steps/Sec: 0.03, Epoch: 6.9563953488372094, LR: 0.001
[2025-04-19 16:14:04] (step=0001452) Train Loss: 0.8470, Train Steps/Sec: 0.02, Epoch: 4.22093023255814, LR: 0.001
[2025-04-19 16:14:29] (step=0002394) Train Loss: 1.2714, Train Steps/Sec: 0.03, Epoch: 6.959302325581396, LR: 0.001
[2025-04-19 16:14:52] (step=0001453) Train Loss: 0.8141, Train Steps/Sec: 0.02, Epoch: 4.223837209302325, LR: 0.001
[2025-04-19 16:14:59] (step=0002395) Train Loss: 1.2862, Train Steps/Sec: 0.03, Epoch: 6.962209302325581, LR: 0.001
[2025-04-19 16:15:28] (step=0002396) Train Loss: 1.0689, Train Steps/Sec: 0.03, Epoch: 6.965116279069767, LR: 0.001
[2025-04-19 16:15:41] (step=0001454) Train Loss: 0.8568, Train Steps/Sec: 0.02, Epoch: 4.226744186046512, LR: 0.001
[2025-04-19 16:15:58] (step=0002397) Train Loss: 1.1161, Train Steps/Sec: 0.03, Epoch: 6.968023255813954, LR: 0.001
[2025-04-19 16:16:28] (step=0002398) Train Loss: 1.0584, Train Steps/Sec: 0.03, Epoch: 6.97093023255814, LR: 0.001
[2025-04-19 16:16:29] (step=0001455) Train Loss: 0.4402, Train Steps/Sec: 0.02, Epoch: 4.229651162790698, LR: 0.001
[2025-04-19 16:16:58] (step=0002399) Train Loss: 1.1988, Train Steps/Sec: 0.03, Epoch: 6.973837209302325, LR: 0.001
[2025-04-19 16:17:17] (step=0001456) Train Loss: 0.8587, Train Steps/Sec: 0.02, Epoch: 4.232558139534884, LR: 0.001
[2025-04-19 16:17:27] (step=0002400) Train Loss: 1.1044, Train Steps/Sec: 0.03, Epoch: 6.976744186046512, LR: 0.001
[2025-04-19 16:17:41] Saved checkpoint to ./results/sfm_based//checkpoints/0002400/
[2025-04-19 16:18:05] (step=0001457) Train Loss: 0.5214, Train Steps/Sec: 0.02, Epoch: 4.2354651162790695, LR: 0.001
[2025-04-19 16:18:11] (step=0002401) Train Loss: 1.4352, Train Steps/Sec: 0.02, Epoch: 6.979651162790698, LR: 0.001
[2025-04-19 16:18:40] (step=0002402) Train Loss: 1.3666, Train Steps/Sec: 0.03, Epoch: 6.982558139534884, LR: 0.001
[2025-04-19 16:18:54] (step=0001458) Train Loss: 0.6178, Train Steps/Sec: 0.02, Epoch: 4.238372093023256, LR: 0.001
[2025-04-19 16:19:10] (step=0002403) Train Loss: 1.1503, Train Steps/Sec: 0.03, Epoch: 6.9854651162790695, LR: 0.001
[2025-04-19 16:19:40] (step=0002404) Train Loss: 1.1355, Train Steps/Sec: 0.03, Epoch: 6.988372093023256, LR: 0.001
[2025-04-19 16:19:42] (step=0001459) Train Loss: 0.6565, Train Steps/Sec: 0.02, Epoch: 4.241279069767442, LR: 0.001
[2025-04-19 16:20:10] (step=0002405) Train Loss: 1.0920, Train Steps/Sec: 0.03, Epoch: 6.991279069767442, LR: 0.001
[2025-04-19 16:20:31] (step=0001460) Train Loss: 0.7456, Train Steps/Sec: 0.02, Epoch: 4.244186046511628, LR: 0.001
[2025-04-19 16:20:39] (step=0002406) Train Loss: 1.0826, Train Steps/Sec: 0.03, Epoch: 6.994186046511628, LR: 0.001
[2025-04-19 16:21:09] (step=0002407) Train Loss: 1.2693, Train Steps/Sec: 0.03, Epoch: 6.997093023255814, LR: 0.001
[2025-04-19 16:21:19] (step=0001461) Train Loss: 0.5467, Train Steps/Sec: 0.02, Epoch: 4.247093023255814, LR: 0.001
[2025-04-19 16:21:39] (step=0002408) Train Loss: 1.1176, Train Steps/Sec: 0.03, Epoch: 7.0, LR: 0.001
[2025-04-19 16:21:39] Beginning epoch 7...
[2025-04-19 16:22:07] (step=0001462) Train Loss: 0.6573, Train Steps/Sec: 0.02, Epoch: 4.25, LR: 0.001
[2025-04-19 16:22:16] (step=0002409) Train Loss: 1.0925, Train Steps/Sec: 0.03, Epoch: 7.002906976744186, LR: 0.001
[2025-04-19 16:22:46] (step=0002410) Train Loss: 1.2080, Train Steps/Sec: 0.03, Epoch: 7.005813953488372, LR: 0.001
[2025-04-19 16:22:55] (step=0001463) Train Loss: 0.7692, Train Steps/Sec: 0.02, Epoch: 4.252906976744186, LR: 0.001
[2025-04-19 16:23:15] (step=0002411) Train Loss: 1.0990, Train Steps/Sec: 0.03, Epoch: 7.008720930232558, LR: 0.001
[2025-04-19 16:23:43] (step=0001464) Train Loss: 0.4762, Train Steps/Sec: 0.02, Epoch: 4.255813953488372, LR: 0.001
[2025-04-19 16:23:45] (step=0002412) Train Loss: 1.2289, Train Steps/Sec: 0.03, Epoch: 7.011627906976744, LR: 0.001
[2025-04-19 16:24:14] (step=0002413) Train Loss: 1.0566, Train Steps/Sec: 0.03, Epoch: 7.0145348837209305, LR: 0.001
[2025-04-19 16:24:31] (step=0001465) Train Loss: 0.5525, Train Steps/Sec: 0.02, Epoch: 4.258720930232558, LR: 0.001
[2025-04-19 16:24:44] (step=0002414) Train Loss: 1.0555, Train Steps/Sec: 0.03, Epoch: 7.017441860465116, LR: 0.001
[2025-04-19 16:25:14] (step=0002415) Train Loss: 1.0912, Train Steps/Sec: 0.03, Epoch: 7.020348837209302, LR: 0.001
[2025-04-19 16:25:20] (step=0001466) Train Loss: 0.6017, Train Steps/Sec: 0.02, Epoch: 4.261627906976744, LR: 0.001
[2025-04-19 16:25:43] (step=0002416) Train Loss: 1.2872, Train Steps/Sec: 0.03, Epoch: 7.023255813953488, LR: 0.001
[2025-04-19 16:26:08] (step=0001467) Train Loss: 0.7960, Train Steps/Sec: 0.02, Epoch: 4.2645348837209305, LR: 0.001
[2025-04-19 16:26:13] (step=0002417) Train Loss: 1.0866, Train Steps/Sec: 0.03, Epoch: 7.026162790697675, LR: 0.001
[2025-04-19 16:26:42] (step=0002418) Train Loss: 1.0306, Train Steps/Sec: 0.03, Epoch: 7.02906976744186, LR: 0.001
[2025-04-19 16:26:56] (step=0001468) Train Loss: 0.5745, Train Steps/Sec: 0.02, Epoch: 4.267441860465116, LR: 0.001
[2025-04-19 16:27:12] (step=0002419) Train Loss: 1.0425, Train Steps/Sec: 0.03, Epoch: 7.031976744186046, LR: 0.001
[2025-04-19 16:27:41] (step=0002420) Train Loss: 1.0183, Train Steps/Sec: 0.03, Epoch: 7.034883720930233, LR: 0.001
[2025-04-19 16:27:45] (step=0001469) Train Loss: 0.6659, Train Steps/Sec: 0.02, Epoch: 4.270348837209302, LR: 0.001
[2025-04-19 16:28:11] (step=0002421) Train Loss: 1.0472, Train Steps/Sec: 0.03, Epoch: 7.037790697674419, LR: 0.001
[2025-04-19 16:28:33] (step=0001470) Train Loss: 0.8509, Train Steps/Sec: 0.02, Epoch: 4.273255813953488, LR: 0.001
[2025-04-19 16:28:41] (step=0002422) Train Loss: 1.0056, Train Steps/Sec: 0.03, Epoch: 7.040697674418604, LR: 0.001
[2025-04-19 16:29:10] (step=0002423) Train Loss: 1.1016, Train Steps/Sec: 0.03, Epoch: 7.0436046511627906, LR: 0.001
[2025-04-19 16:29:21] (step=0001471) Train Loss: 0.8085, Train Steps/Sec: 0.02, Epoch: 4.276162790697675, LR: 0.001
[2025-04-19 16:29:39] (step=0002424) Train Loss: 1.1794, Train Steps/Sec: 0.03, Epoch: 7.046511627906977, LR: 0.001
[2025-04-19 16:30:09] (step=0001472) Train Loss: 0.4401, Train Steps/Sec: 0.02, Epoch: 4.27906976744186, LR: 0.001
[2025-04-19 16:30:09] (step=0002425) Train Loss: 1.3109, Train Steps/Sec: 0.03, Epoch: 7.049418604651163, LR: 0.001
[2025-04-19 16:30:39] (step=0002426) Train Loss: 1.0999, Train Steps/Sec: 0.03, Epoch: 7.0523255813953485, LR: 0.001
[2025-04-19 16:30:57] (step=0001473) Train Loss: 0.4746, Train Steps/Sec: 0.02, Epoch: 4.281976744186046, LR: 0.001
[2025-04-19 16:31:09] (step=0002427) Train Loss: 1.0913, Train Steps/Sec: 0.03, Epoch: 7.055232558139535, LR: 0.001
[2025-04-19 16:31:38] (step=0002428) Train Loss: 1.0170, Train Steps/Sec: 0.03, Epoch: 7.058139534883721, LR: 0.001
[2025-04-19 16:31:46] (step=0001474) Train Loss: 0.8247, Train Steps/Sec: 0.02, Epoch: 4.284883720930233, LR: 0.001
[2025-04-19 16:32:08] (step=0002429) Train Loss: 1.0791, Train Steps/Sec: 0.03, Epoch: 7.061046511627907, LR: 0.001
[2025-04-19 16:32:34] (step=0001475) Train Loss: 0.4876, Train Steps/Sec: 0.02, Epoch: 4.287790697674419, LR: 0.001
[2025-04-19 16:32:38] (step=0002430) Train Loss: 1.1693, Train Steps/Sec: 0.03, Epoch: 7.063953488372093, LR: 0.001
[2025-04-19 16:33:07] (step=0002431) Train Loss: 1.1490, Train Steps/Sec: 0.03, Epoch: 7.066860465116279, LR: 0.001
[2025-04-19 16:33:22] (step=0001476) Train Loss: 0.4245, Train Steps/Sec: 0.02, Epoch: 4.290697674418604, LR: 0.001
[2025-04-19 16:33:37] (step=0002432) Train Loss: 1.1595, Train Steps/Sec: 0.03, Epoch: 7.069767441860465, LR: 0.001
[2025-04-19 16:34:07] (step=0002433) Train Loss: 1.2472, Train Steps/Sec: 0.03, Epoch: 7.0726744186046515, LR: 0.001
[2025-04-19 16:34:11] (step=0001477) Train Loss: 0.6772, Train Steps/Sec: 0.02, Epoch: 4.2936046511627906, LR: 0.001
[2025-04-19 16:34:36] (step=0002434) Train Loss: 1.0773, Train Steps/Sec: 0.03, Epoch: 7.075581395348837, LR: 0.001
[2025-04-19 16:34:59] (step=0001478) Train Loss: 0.7691, Train Steps/Sec: 0.02, Epoch: 4.296511627906977, LR: 0.001
[2025-04-19 16:35:06] (step=0002435) Train Loss: 1.1042, Train Steps/Sec: 0.03, Epoch: 7.078488372093023, LR: 0.001
[2025-04-19 16:35:35] (step=0002436) Train Loss: 1.0224, Train Steps/Sec: 0.03, Epoch: 7.0813953488372094, LR: 0.001
[2025-04-19 16:35:48] (step=0001479) Train Loss: 0.4642, Train Steps/Sec: 0.02, Epoch: 4.299418604651163, LR: 0.001
[2025-04-19 16:36:05] (step=0002437) Train Loss: 1.1734, Train Steps/Sec: 0.03, Epoch: 7.084302325581396, LR: 0.001
[2025-04-19 16:36:35] (step=0002438) Train Loss: 1.0696, Train Steps/Sec: 0.03, Epoch: 7.087209302325581, LR: 0.001
[2025-04-19 16:36:36] (step=0001480) Train Loss: 0.8181, Train Steps/Sec: 0.02, Epoch: 4.3023255813953485, LR: 0.001
[2025-04-19 16:37:04] (step=0002439) Train Loss: 1.3249, Train Steps/Sec: 0.03, Epoch: 7.090116279069767, LR: 0.001
[2025-04-19 16:37:24] (step=0001481) Train Loss: 0.6255, Train Steps/Sec: 0.02, Epoch: 4.305232558139535, LR: 0.001
[2025-04-19 16:37:34] (step=0002440) Train Loss: 1.0819, Train Steps/Sec: 0.03, Epoch: 7.093023255813954, LR: 0.001
[2025-04-19 16:38:03] (step=0002441) Train Loss: 1.3357, Train Steps/Sec: 0.03, Epoch: 7.09593023255814, LR: 0.001
[2025-04-19 16:38:13] (step=0001482) Train Loss: 0.7903, Train Steps/Sec: 0.02, Epoch: 4.308139534883721, LR: 0.001
[2025-04-19 16:38:33] (step=0002442) Train Loss: 1.1053, Train Steps/Sec: 0.03, Epoch: 7.098837209302325, LR: 0.001
[2025-04-19 16:39:01] (step=0001483) Train Loss: 0.5942, Train Steps/Sec: 0.02, Epoch: 4.311046511627907, LR: 0.001
[2025-04-19 16:39:02] (step=0002443) Train Loss: 1.2607, Train Steps/Sec: 0.03, Epoch: 7.101744186046512, LR: 0.001
[2025-04-19 16:39:32] (step=0002444) Train Loss: 0.9989, Train Steps/Sec: 0.03, Epoch: 7.104651162790698, LR: 0.001
[2025-04-19 16:39:49] (step=0001484) Train Loss: 0.8633, Train Steps/Sec: 0.02, Epoch: 4.313953488372093, LR: 0.001
[2025-04-19 16:40:02] (step=0002445) Train Loss: 1.0515, Train Steps/Sec: 0.03, Epoch: 7.107558139534884, LR: 0.001
[2025-04-19 16:40:31] (step=0002446) Train Loss: 0.9713, Train Steps/Sec: 0.03, Epoch: 7.1104651162790695, LR: 0.001
[2025-04-19 16:40:38] (step=0001485) Train Loss: 0.7317, Train Steps/Sec: 0.02, Epoch: 4.316860465116279, LR: 0.001
[2025-04-19 16:41:01] (step=0002447) Train Loss: 1.2480, Train Steps/Sec: 0.03, Epoch: 7.113372093023256, LR: 0.001
[2025-04-19 16:41:26] (step=0001486) Train Loss: 0.7358, Train Steps/Sec: 0.02, Epoch: 4.319767441860465, LR: 0.001
[2025-04-19 16:41:30] (step=0002448) Train Loss: 1.0502, Train Steps/Sec: 0.03, Epoch: 7.116279069767442, LR: 0.001
[2025-04-19 16:42:00] (step=0002449) Train Loss: 1.2528, Train Steps/Sec: 0.03, Epoch: 7.119186046511628, LR: 0.001
[2025-04-19 16:42:14] (step=0001487) Train Loss: 0.6238, Train Steps/Sec: 0.02, Epoch: 4.3226744186046515, LR: 0.001
[2025-04-19 16:42:29] (step=0002450) Train Loss: 1.0303, Train Steps/Sec: 0.03, Epoch: 7.122093023255814, LR: 0.001
[2025-04-19 16:42:59] (step=0002451) Train Loss: 1.4773, Train Steps/Sec: 0.03, Epoch: 7.125, LR: 0.001
[2025-04-19 16:43:03] (step=0001488) Train Loss: 0.8052, Train Steps/Sec: 0.02, Epoch: 4.325581395348837, LR: 0.001
[2025-04-19 16:43:28] (step=0002452) Train Loss: 1.0417, Train Steps/Sec: 0.03, Epoch: 7.127906976744186, LR: 0.001
[2025-04-19 16:43:51] (step=0001489) Train Loss: 0.6894, Train Steps/Sec: 0.02, Epoch: 4.328488372093023, LR: 0.001
[2025-04-19 16:43:58] (step=0002453) Train Loss: 1.2256, Train Steps/Sec: 0.03, Epoch: 7.130813953488372, LR: 0.001
[2025-04-19 16:44:28] (step=0002454) Train Loss: 1.1411, Train Steps/Sec: 0.03, Epoch: 7.133720930232558, LR: 0.001
[2025-04-19 16:44:40] (step=0001490) Train Loss: 0.7737, Train Steps/Sec: 0.02, Epoch: 4.3313953488372094, LR: 0.001
[2025-04-19 16:44:57] (step=0002455) Train Loss: 1.0516, Train Steps/Sec: 0.03, Epoch: 7.136627906976744, LR: 0.001
[2025-04-19 16:45:27] (step=0002456) Train Loss: 1.0762, Train Steps/Sec: 0.03, Epoch: 7.1395348837209305, LR: 0.001
[2025-04-19 16:45:28] (step=0001491) Train Loss: 0.8049, Train Steps/Sec: 0.02, Epoch: 4.334302325581396, LR: 0.001
[2025-04-19 16:45:56] (step=0002457) Train Loss: 1.3506, Train Steps/Sec: 0.03, Epoch: 7.142441860465116, LR: 0.001
[2025-04-19 16:46:16] (step=0001492) Train Loss: 0.7711, Train Steps/Sec: 0.02, Epoch: 4.337209302325581, LR: 0.001
[2025-04-19 16:46:26] (step=0002458) Train Loss: 0.9796, Train Steps/Sec: 0.03, Epoch: 7.145348837209302, LR: 0.001
[2025-04-19 16:46:56] (step=0002459) Train Loss: 1.1938, Train Steps/Sec: 0.03, Epoch: 7.148255813953488, LR: 0.001
[2025-04-19 16:47:05] (step=0001493) Train Loss: 0.8207, Train Steps/Sec: 0.02, Epoch: 4.340116279069767, LR: 0.001
[2025-04-19 16:47:26] (step=0002460) Train Loss: 1.0678, Train Steps/Sec: 0.03, Epoch: 7.151162790697675, LR: 0.001
[2025-04-19 16:47:53] (step=0001494) Train Loss: 0.6411, Train Steps/Sec: 0.02, Epoch: 4.343023255813954, LR: 0.001
[2025-04-19 16:47:55] (step=0002461) Train Loss: 1.2476, Train Steps/Sec: 0.03, Epoch: 7.15406976744186, LR: 0.001
[2025-04-19 16:48:25] (step=0002462) Train Loss: 1.1696, Train Steps/Sec: 0.03, Epoch: 7.156976744186046, LR: 0.001
[2025-04-19 16:48:41] (step=0001495) Train Loss: 0.6172, Train Steps/Sec: 0.02, Epoch: 4.34593023255814, LR: 0.001
[2025-04-19 16:48:54] (step=0002463) Train Loss: 1.0694, Train Steps/Sec: 0.03, Epoch: 7.159883720930233, LR: 0.001
[2025-04-19 16:49:24] (step=0002464) Train Loss: 1.0395, Train Steps/Sec: 0.03, Epoch: 7.162790697674419, LR: 0.001
[2025-04-19 16:49:29] (step=0001496) Train Loss: 0.5100, Train Steps/Sec: 0.02, Epoch: 4.348837209302325, LR: 0.001
[2025-04-19 16:49:54] (step=0002465) Train Loss: 1.0171, Train Steps/Sec: 0.03, Epoch: 7.165697674418604, LR: 0.001
[2025-04-19 16:50:18] (step=0001497) Train Loss: 0.4627, Train Steps/Sec: 0.02, Epoch: 4.351744186046512, LR: 0.001
[2025-04-19 16:50:24] (step=0002466) Train Loss: 1.3151, Train Steps/Sec: 0.03, Epoch: 7.1686046511627906, LR: 0.001
[2025-04-19 16:50:53] (step=0002467) Train Loss: 1.2334, Train Steps/Sec: 0.03, Epoch: 7.171511627906977, LR: 0.001
[2025-04-19 16:51:06] (step=0001498) Train Loss: 0.8557, Train Steps/Sec: 0.02, Epoch: 4.354651162790698, LR: 0.001
[2025-04-19 16:51:23] (step=0002468) Train Loss: 1.1463, Train Steps/Sec: 0.03, Epoch: 7.174418604651163, LR: 0.001
[2025-04-19 16:51:53] (step=0002469) Train Loss: 0.9867, Train Steps/Sec: 0.03, Epoch: 7.1773255813953485, LR: 0.001
[2025-04-19 16:51:54] (step=0001499) Train Loss: 0.8067, Train Steps/Sec: 0.02, Epoch: 4.357558139534884, LR: 0.001
[2025-04-19 16:52:22] (step=0002470) Train Loss: 1.1752, Train Steps/Sec: 0.03, Epoch: 7.180232558139535, LR: 0.001
[2025-04-19 16:52:43] (step=0001500) Train Loss: 0.4426, Train Steps/Sec: 0.02, Epoch: 4.3604651162790695, LR: 0.001
[2025-04-19 16:52:52] (step=0002471) Train Loss: 0.9523, Train Steps/Sec: 0.03, Epoch: 7.183139534883721, LR: 0.001
[2025-04-19 16:53:22] (step=0002472) Train Loss: 1.2658, Train Steps/Sec: 0.03, Epoch: 7.186046511627907, LR: 0.001
[2025-04-19 16:53:31] (step=0001501) Train Loss: 0.5526, Train Steps/Sec: 0.02, Epoch: 4.363372093023256, LR: 0.001
[2025-04-19 16:53:51] (step=0002473) Train Loss: 1.0703, Train Steps/Sec: 0.03, Epoch: 7.188953488372093, LR: 0.001
[2025-04-19 16:54:19] (step=0001502) Train Loss: 0.4738, Train Steps/Sec: 0.02, Epoch: 4.366279069767442, LR: 0.001
[2025-04-19 16:54:21] (step=0002474) Train Loss: 1.2083, Train Steps/Sec: 0.03, Epoch: 7.191860465116279, LR: 0.001
[2025-04-19 16:54:50] (step=0002475) Train Loss: 1.1264, Train Steps/Sec: 0.03, Epoch: 7.194767441860465, LR: 0.001
[2025-04-19 16:55:08] (step=0001503) Train Loss: 0.7808, Train Steps/Sec: 0.02, Epoch: 4.369186046511628, LR: 0.001
[2025-04-19 16:55:20] (step=0002476) Train Loss: 1.0843, Train Steps/Sec: 0.03, Epoch: 7.1976744186046515, LR: 0.001
[2025-04-19 16:55:50] (step=0002477) Train Loss: 1.0206, Train Steps/Sec: 0.03, Epoch: 7.200581395348837, LR: 0.001
[2025-04-19 16:55:56] (step=0001504) Train Loss: 0.6360, Train Steps/Sec: 0.02, Epoch: 4.372093023255814, LR: 0.001
[2025-04-19 16:56:20] (step=0002478) Train Loss: 1.2939, Train Steps/Sec: 0.03, Epoch: 7.203488372093023, LR: 0.001
[2025-04-19 16:56:44] (step=0001505) Train Loss: 0.6015, Train Steps/Sec: 0.02, Epoch: 4.375, LR: 0.001
[2025-04-19 16:56:49] (step=0002479) Train Loss: 1.1024, Train Steps/Sec: 0.03, Epoch: 7.2063953488372094, LR: 0.001
[2025-04-19 16:57:03] (step=0001506) Train Loss: 0.8214, Train Steps/Sec: 0.05, Epoch: 4.377906976744186, LR: 0.001
[2025-04-19 16:57:19] (step=0002480) Train Loss: 1.0870, Train Steps/Sec: 0.03, Epoch: 7.209302325581396, LR: 0.001
[2025-04-19 16:57:48] (step=0002481) Train Loss: 0.9587, Train Steps/Sec: 0.03, Epoch: 7.212209302325581, LR: 0.001
[2025-04-19 16:57:51] (step=0001507) Train Loss: 0.6673, Train Steps/Sec: 0.02, Epoch: 4.380813953488372, LR: 0.001
[2025-04-19 16:58:18] (step=0002482) Train Loss: 1.1451, Train Steps/Sec: 0.03, Epoch: 7.215116279069767, LR: 0.001
[2025-04-19 16:58:39] (step=0001508) Train Loss: 0.7143, Train Steps/Sec: 0.02, Epoch: 4.383720930232558, LR: 0.001
[2025-04-19 16:58:48] (step=0002483) Train Loss: 1.3495, Train Steps/Sec: 0.03, Epoch: 7.218023255813954, LR: 0.001
[2025-04-19 16:59:17] (step=0002484) Train Loss: 1.0713, Train Steps/Sec: 0.03, Epoch: 7.22093023255814, LR: 0.001
[2025-04-19 16:59:27] (step=0001509) Train Loss: 0.5533, Train Steps/Sec: 0.02, Epoch: 4.386627906976744, LR: 0.001
[2025-04-19 16:59:47] (step=0002485) Train Loss: 1.0602, Train Steps/Sec: 0.03, Epoch: 7.223837209302325, LR: 0.001
[2025-04-19 17:00:16] (step=0001510) Train Loss: 0.4784, Train Steps/Sec: 0.02, Epoch: 4.3895348837209305, LR: 0.001
[2025-04-19 17:00:17] (step=0002486) Train Loss: 1.1129, Train Steps/Sec: 0.03, Epoch: 7.226744186046512, LR: 0.001
[2025-04-19 17:00:46] (step=0002487) Train Loss: 1.1405, Train Steps/Sec: 0.03, Epoch: 7.229651162790698, LR: 0.001
[2025-04-19 17:01:04] (step=0001511) Train Loss: 0.7426, Train Steps/Sec: 0.02, Epoch: 4.392441860465116, LR: 0.001
[2025-04-19 17:01:16] (step=0002488) Train Loss: 1.3072, Train Steps/Sec: 0.03, Epoch: 7.232558139534884, LR: 0.001
[2025-04-19 17:01:25] (step=0002489) Train Loss: 1.1400, Train Steps/Sec: 0.10, Epoch: 7.2354651162790695, LR: 0.001
[2025-04-19 17:01:53] (step=0001512) Train Loss: 0.6233, Train Steps/Sec: 0.02, Epoch: 4.395348837209302, LR: 0.001
[2025-04-19 17:01:55] (step=0002490) Train Loss: 1.0058, Train Steps/Sec: 0.03, Epoch: 7.238372093023256, LR: 0.001
[2025-04-19 17:02:24] (step=0002491) Train Loss: 1.1198, Train Steps/Sec: 0.03, Epoch: 7.241279069767442, LR: 0.001
[2025-04-19 17:02:41] (step=0001513) Train Loss: 0.5224, Train Steps/Sec: 0.02, Epoch: 4.398255813953488, LR: 0.001
[2025-04-19 17:02:54] (step=0002492) Train Loss: 1.0230, Train Steps/Sec: 0.03, Epoch: 7.244186046511628, LR: 0.001
[2025-04-19 17:03:24] (step=0002493) Train Loss: 1.0628, Train Steps/Sec: 0.03, Epoch: 7.247093023255814, LR: 0.001
[2025-04-19 17:03:29] (step=0001514) Train Loss: 0.4820, Train Steps/Sec: 0.02, Epoch: 4.401162790697675, LR: 0.001
[2025-04-19 17:03:54] (step=0002494) Train Loss: 1.0170, Train Steps/Sec: 0.03, Epoch: 7.25, LR: 0.001
[2025-04-19 17:04:18] (step=0001515) Train Loss: 0.7030, Train Steps/Sec: 0.02, Epoch: 4.40406976744186, LR: 0.001
[2025-04-19 17:04:25] (step=0002495) Train Loss: 1.1470, Train Steps/Sec: 0.03, Epoch: 7.252906976744186, LR: 0.001
[2025-04-19 17:04:55] (step=0002496) Train Loss: 1.2465, Train Steps/Sec: 0.03, Epoch: 7.255813953488372, LR: 0.001
[2025-04-19 17:05:06] (step=0001516) Train Loss: 0.4705, Train Steps/Sec: 0.02, Epoch: 4.406976744186046, LR: 0.001
[2025-04-19 17:05:26] (step=0002497) Train Loss: 1.1353, Train Steps/Sec: 0.03, Epoch: 7.258720930232558, LR: 0.001
[2025-04-19 17:05:55] (step=0001517) Train Loss: 0.6281, Train Steps/Sec: 0.02, Epoch: 4.409883720930233, LR: 0.001
[2025-04-19 17:05:57] (step=0002498) Train Loss: 1.1061, Train Steps/Sec: 0.03, Epoch: 7.261627906976744, LR: 0.001
[2025-04-19 17:06:28] (step=0002499) Train Loss: 1.2004, Train Steps/Sec: 0.03, Epoch: 7.2645348837209305, LR: 0.001
[2025-04-19 17:06:43] (step=0001518) Train Loss: 0.6110, Train Steps/Sec: 0.02, Epoch: 4.412790697674419, LR: 0.001
[2025-04-19 17:06:59] (step=0002500) Train Loss: 1.2203, Train Steps/Sec: 0.03, Epoch: 7.267441860465116, LR: 0.001
[2025-04-19 17:07:30] (step=0002501) Train Loss: 1.2211, Train Steps/Sec: 0.03, Epoch: 7.270348837209302, LR: 0.001
[2025-04-19 17:07:32] (step=0001519) Train Loss: 0.5144, Train Steps/Sec: 0.02, Epoch: 4.415697674418604, LR: 0.001
[2025-04-19 17:08:00] (step=0002502) Train Loss: 1.2092, Train Steps/Sec: 0.03, Epoch: 7.273255813953488, LR: 0.001
[2025-04-19 17:08:20] (step=0001520) Train Loss: 0.4854, Train Steps/Sec: 0.02, Epoch: 4.4186046511627906, LR: 0.001
[2025-04-19 17:08:30] (step=0002503) Train Loss: 1.1909, Train Steps/Sec: 0.03, Epoch: 7.276162790697675, LR: 0.001
[2025-04-19 17:09:00] (step=0002504) Train Loss: 1.1865, Train Steps/Sec: 0.03, Epoch: 7.27906976744186, LR: 0.001
[2025-04-19 17:09:09] (step=0001521) Train Loss: 0.7183, Train Steps/Sec: 0.02, Epoch: 4.421511627906977, LR: 0.001
[2025-04-19 17:09:29] (step=0002505) Train Loss: 0.9716, Train Steps/Sec: 0.03, Epoch: 7.281976744186046, LR: 0.001
[2025-04-19 17:09:57] (step=0001522) Train Loss: 0.6588, Train Steps/Sec: 0.02, Epoch: 4.424418604651163, LR: 0.001
[2025-04-19 17:09:59] (step=0002506) Train Loss: 1.1204, Train Steps/Sec: 0.03, Epoch: 7.284883720930233, LR: 0.001
[2025-04-19 17:10:28] (step=0002507) Train Loss: 1.3862, Train Steps/Sec: 0.03, Epoch: 7.287790697674419, LR: 0.001
[2025-04-19 17:10:46] (step=0001523) Train Loss: 0.7201, Train Steps/Sec: 0.02, Epoch: 4.4273255813953485, LR: 0.001
[2025-04-19 17:10:57] (step=0002508) Train Loss: 1.4177, Train Steps/Sec: 0.03, Epoch: 7.290697674418604, LR: 0.001
[2025-04-19 17:11:27] (step=0002509) Train Loss: 1.0202, Train Steps/Sec: 0.03, Epoch: 7.2936046511627906, LR: 0.001
[2025-04-19 17:11:34] (step=0001524) Train Loss: 0.6104, Train Steps/Sec: 0.02, Epoch: 4.430232558139535, LR: 0.001
[2025-04-19 17:11:57] (step=0002510) Train Loss: 1.1468, Train Steps/Sec: 0.03, Epoch: 7.296511627906977, LR: 0.001
[2025-04-19 17:12:06] (step=0002511) Train Loss: 1.1105, Train Steps/Sec: 0.10, Epoch: 7.299418604651163, LR: 0.001
[2025-04-19 17:12:22] (step=0001525) Train Loss: 0.3980, Train Steps/Sec: 0.02, Epoch: 4.433139534883721, LR: 0.001
[2025-04-19 17:12:36] (step=0002512) Train Loss: 0.9717, Train Steps/Sec: 0.03, Epoch: 7.3023255813953485, LR: 0.001
[2025-04-19 17:13:06] (step=0002513) Train Loss: 1.3609, Train Steps/Sec: 0.03, Epoch: 7.305232558139535, LR: 0.001
[2025-04-19 17:13:10] (step=0001526) Train Loss: 0.7991, Train Steps/Sec: 0.02, Epoch: 4.436046511627907, LR: 0.001
[2025-04-19 17:13:35] (step=0002514) Train Loss: 1.0108, Train Steps/Sec: 0.03, Epoch: 7.308139534883721, LR: 0.001
[2025-04-19 17:13:59] (step=0001527) Train Loss: 0.7669, Train Steps/Sec: 0.02, Epoch: 4.438953488372093, LR: 0.001
[2025-04-19 17:14:05] (step=0002515) Train Loss: 0.9517, Train Steps/Sec: 0.03, Epoch: 7.311046511627907, LR: 0.001
[2025-04-19 17:14:35] (step=0002516) Train Loss: 1.2535, Train Steps/Sec: 0.03, Epoch: 7.313953488372093, LR: 0.001
[2025-04-19 17:14:47] (step=0001528) Train Loss: 0.6700, Train Steps/Sec: 0.02, Epoch: 4.441860465116279, LR: 0.001
[2025-04-19 17:15:05] (step=0002517) Train Loss: 1.0138, Train Steps/Sec: 0.03, Epoch: 7.316860465116279, LR: 0.001
[2025-04-19 17:15:34] (step=0002518) Train Loss: 1.0848, Train Steps/Sec: 0.03, Epoch: 7.319767441860465, LR: 0.001
[2025-04-19 17:15:35] (step=0001529) Train Loss: 0.7697, Train Steps/Sec: 0.02, Epoch: 4.444767441860465, LR: 0.001
[2025-04-19 17:16:04] (step=0002519) Train Loss: 0.9109, Train Steps/Sec: 0.03, Epoch: 7.3226744186046515, LR: 0.001
[2025-04-19 17:16:23] (step=0001530) Train Loss: 0.6009, Train Steps/Sec: 0.02, Epoch: 4.4476744186046515, LR: 0.001
[2025-04-19 17:16:33] (step=0002520) Train Loss: 1.1812, Train Steps/Sec: 0.03, Epoch: 7.325581395348837, LR: 0.001
[2025-04-19 17:17:03] (step=0002521) Train Loss: 1.4436, Train Steps/Sec: 0.03, Epoch: 7.328488372093023, LR: 0.001
[2025-04-19 17:17:11] (step=0001531) Train Loss: 0.5855, Train Steps/Sec: 0.02, Epoch: 4.450581395348837, LR: 0.001
[2025-04-19 17:17:32] (step=0002522) Train Loss: 1.0706, Train Steps/Sec: 0.03, Epoch: 7.3313953488372094, LR: 0.001
[2025-04-19 17:18:00] (step=0001532) Train Loss: 0.6882, Train Steps/Sec: 0.02, Epoch: 4.453488372093023, LR: 0.001
[2025-04-19 17:18:02] (step=0002523) Train Loss: 1.1014, Train Steps/Sec: 0.03, Epoch: 7.334302325581396, LR: 0.001
[2025-04-19 17:18:31] (step=0002524) Train Loss: 1.2816, Train Steps/Sec: 0.03, Epoch: 7.337209302325581, LR: 0.001
[2025-04-19 17:18:48] (step=0001533) Train Loss: 0.7975, Train Steps/Sec: 0.02, Epoch: 4.4563953488372094, LR: 0.001
[2025-04-19 17:19:01] (step=0002525) Train Loss: 1.1335, Train Steps/Sec: 0.03, Epoch: 7.340116279069767, LR: 0.001
[2025-04-19 17:19:31] (step=0002526) Train Loss: 0.9665, Train Steps/Sec: 0.03, Epoch: 7.343023255813954, LR: 0.001
[2025-04-19 17:19:36] (step=0001534) Train Loss: 0.0207, Train Steps/Sec: 0.02, Epoch: 4.459302325581396, LR: 0.001
[2025-04-19 17:20:01] (step=0002527) Train Loss: 1.0037, Train Steps/Sec: 0.03, Epoch: 7.34593023255814, LR: 0.001
[2025-04-19 17:20:25] (step=0001535) Train Loss: 0.7956, Train Steps/Sec: 0.02, Epoch: 4.462209302325581, LR: 0.001
[2025-04-19 17:20:30] (step=0002528) Train Loss: 1.3253, Train Steps/Sec: 0.03, Epoch: 7.348837209302325, LR: 0.001
[2025-04-19 17:21:00] (step=0002529) Train Loss: 1.0402, Train Steps/Sec: 0.03, Epoch: 7.351744186046512, LR: 0.001
[2025-04-19 17:21:13] (step=0001536) Train Loss: 0.7264, Train Steps/Sec: 0.02, Epoch: 4.465116279069767, LR: 0.001
[2025-04-19 17:21:29] (step=0002530) Train Loss: 1.0224, Train Steps/Sec: 0.03, Epoch: 7.354651162790698, LR: 0.001
[2025-04-19 17:21:59] (step=0002531) Train Loss: 1.3645, Train Steps/Sec: 0.03, Epoch: 7.357558139534884, LR: 0.001
[2025-04-19 17:22:01] (step=0001537) Train Loss: 0.7493, Train Steps/Sec: 0.02, Epoch: 4.468023255813954, LR: 0.001
[2025-04-19 17:22:29] (step=0002532) Train Loss: 0.9320, Train Steps/Sec: 0.03, Epoch: 7.3604651162790695, LR: 0.001
[2025-04-19 17:22:49] (step=0001538) Train Loss: 0.3712, Train Steps/Sec: 0.02, Epoch: 4.47093023255814, LR: 0.001
[2025-04-19 17:22:58] (step=0002533) Train Loss: 1.1093, Train Steps/Sec: 0.03, Epoch: 7.363372093023256, LR: 0.001
[2025-04-19 17:23:28] (step=0002534) Train Loss: 0.9175, Train Steps/Sec: 0.03, Epoch: 7.366279069767442, LR: 0.001
[2025-04-19 17:23:38] (step=0001539) Train Loss: 0.6028, Train Steps/Sec: 0.02, Epoch: 4.473837209302325, LR: 0.001
[2025-04-19 17:23:57] (step=0002535) Train Loss: 0.9760, Train Steps/Sec: 0.03, Epoch: 7.369186046511628, LR: 0.001
[2025-04-19 17:24:26] (step=0001540) Train Loss: 0.7621, Train Steps/Sec: 0.02, Epoch: 4.476744186046512, LR: 0.001
[2025-04-19 17:24:27] (step=0002536) Train Loss: 1.3133, Train Steps/Sec: 0.03, Epoch: 7.372093023255814, LR: 0.001
[2025-04-19 17:24:57] (step=0002537) Train Loss: 1.0504, Train Steps/Sec: 0.03, Epoch: 7.375, LR: 0.001
[2025-04-19 17:25:15] (step=0001541) Train Loss: 0.8359, Train Steps/Sec: 0.02, Epoch: 4.479651162790698, LR: 0.001
[2025-04-19 17:25:27] (step=0002538) Train Loss: 0.9588, Train Steps/Sec: 0.03, Epoch: 7.377906976744186, LR: 0.001
[2025-04-19 17:25:36] (step=0002539) Train Loss: 1.0664, Train Steps/Sec: 0.10, Epoch: 7.380813953488372, LR: 0.001
[2025-04-19 17:26:03] (step=0001542) Train Loss: 0.6712, Train Steps/Sec: 0.02, Epoch: 4.482558139534884, LR: 0.001
[2025-04-19 17:26:06] (step=0002540) Train Loss: 0.8696, Train Steps/Sec: 0.03, Epoch: 7.383720930232558, LR: 0.001
[2025-04-19 17:26:36] (step=0002541) Train Loss: 0.9133, Train Steps/Sec: 0.03, Epoch: 7.386627906976744, LR: 0.001
[2025-04-19 17:26:51] (step=0001543) Train Loss: 0.7903, Train Steps/Sec: 0.02, Epoch: 4.4854651162790695, LR: 0.001
[2025-04-19 17:27:05] (step=0002542) Train Loss: 0.9734, Train Steps/Sec: 0.03, Epoch: 7.3895348837209305, LR: 0.001
[2025-04-19 17:27:35] (step=0002543) Train Loss: 1.0074, Train Steps/Sec: 0.03, Epoch: 7.392441860465116, LR: 0.001
[2025-04-19 17:27:40] (step=0001544) Train Loss: 0.5868, Train Steps/Sec: 0.02, Epoch: 4.488372093023256, LR: 0.001
[2025-04-19 17:28:04] (step=0002544) Train Loss: 1.3074, Train Steps/Sec: 0.03, Epoch: 7.395348837209302, LR: 0.001
[2025-04-19 17:28:28] (step=0001545) Train Loss: 0.4870, Train Steps/Sec: 0.02, Epoch: 4.491279069767442, LR: 0.001
[2025-04-19 17:28:34] (step=0002545) Train Loss: 1.2710, Train Steps/Sec: 0.03, Epoch: 7.398255813953488, LR: 0.001
[2025-04-19 17:29:04] (step=0002546) Train Loss: 1.0637, Train Steps/Sec: 0.03, Epoch: 7.401162790697675, LR: 0.001
[2025-04-19 17:29:16] (step=0001546) Train Loss: 0.8153, Train Steps/Sec: 0.02, Epoch: 4.494186046511628, LR: 0.001
[2025-04-19 17:29:33] (step=0002547) Train Loss: 0.8421, Train Steps/Sec: 0.03, Epoch: 7.40406976744186, LR: 0.001
[2025-04-19 17:30:03] (step=0002548) Train Loss: 0.8969, Train Steps/Sec: 0.03, Epoch: 7.406976744186046, LR: 0.001
[2025-04-19 17:30:05] (step=0001547) Train Loss: 0.6550, Train Steps/Sec: 0.02, Epoch: 4.497093023255814, LR: 0.001
[2025-04-19 17:30:32] (step=0002549) Train Loss: 1.1332, Train Steps/Sec: 0.03, Epoch: 7.409883720930233, LR: 0.001
[2025-04-19 17:30:53] (step=0001548) Train Loss: 0.4748, Train Steps/Sec: 0.02, Epoch: 4.5, LR: 0.001
[2025-04-19 17:31:02] (step=0002550) Train Loss: 1.0606, Train Steps/Sec: 0.03, Epoch: 7.412790697674419, LR: 0.001
[2025-04-19 17:31:32] (step=0002551) Train Loss: 1.0135, Train Steps/Sec: 0.03, Epoch: 7.415697674418604, LR: 0.001
[2025-04-19 17:31:41] (step=0001549) Train Loss: 0.6222, Train Steps/Sec: 0.02, Epoch: 4.502906976744186, LR: 0.001
[2025-04-19 17:32:01] (step=0002552) Train Loss: 1.2178, Train Steps/Sec: 0.03, Epoch: 7.4186046511627906, LR: 0.001
[2025-04-19 17:32:30] (step=0001550) Train Loss: 0.7570, Train Steps/Sec: 0.02, Epoch: 4.505813953488372, LR: 0.001
[2025-04-19 17:32:31] (step=0002553) Train Loss: 1.0351, Train Steps/Sec: 0.03, Epoch: 7.421511627906977, LR: 0.001
[2025-04-19 17:33:01] (step=0002554) Train Loss: 1.0858, Train Steps/Sec: 0.03, Epoch: 7.424418604651163, LR: 0.001
[2025-04-19 17:33:18] (step=0001551) Train Loss: 0.6727, Train Steps/Sec: 0.02, Epoch: 4.508720930232558, LR: 0.001
[2025-04-19 17:33:30] (step=0002555) Train Loss: 1.2060, Train Steps/Sec: 0.03, Epoch: 7.4273255813953485, LR: 0.001
[2025-04-19 17:34:00] (step=0002556) Train Loss: 0.9416, Train Steps/Sec: 0.03, Epoch: 7.430232558139535, LR: 0.001
[2025-04-19 17:34:06] (step=0001552) Train Loss: 0.6854, Train Steps/Sec: 0.02, Epoch: 4.511627906976744, LR: 0.001
[2025-04-19 17:34:29] (step=0002557) Train Loss: 0.8587, Train Steps/Sec: 0.03, Epoch: 7.433139534883721, LR: 0.001
[2025-04-19 17:34:55] (step=0001553) Train Loss: 0.6596, Train Steps/Sec: 0.02, Epoch: 4.5145348837209305, LR: 0.001
[2025-04-19 17:34:59] (step=0002558) Train Loss: 1.1926, Train Steps/Sec: 0.03, Epoch: 7.436046511627907, LR: 0.001
[2025-04-19 17:35:29] (step=0002559) Train Loss: 0.9085, Train Steps/Sec: 0.03, Epoch: 7.438953488372093, LR: 0.001
[2025-04-19 17:35:43] (step=0001554) Train Loss: 0.5643, Train Steps/Sec: 0.02, Epoch: 4.517441860465116, LR: 0.001
[2025-04-19 17:35:58] (step=0002560) Train Loss: 0.8261, Train Steps/Sec: 0.03, Epoch: 7.441860465116279, LR: 0.001
[2025-04-19 17:36:28] (step=0002561) Train Loss: 1.0894, Train Steps/Sec: 0.03, Epoch: 7.444767441860465, LR: 0.001
[2025-04-19 17:36:31] (step=0001555) Train Loss: 0.6851, Train Steps/Sec: 0.02, Epoch: 4.520348837209302, LR: 0.001
[2025-04-19 17:36:58] (step=0002562) Train Loss: 1.4358, Train Steps/Sec: 0.03, Epoch: 7.4476744186046515, LR: 0.001
[2025-04-19 17:37:20] (step=0001556) Train Loss: 0.5357, Train Steps/Sec: 0.02, Epoch: 4.523255813953488, LR: 0.001
[2025-04-19 17:37:28] (step=0002563) Train Loss: 0.9755, Train Steps/Sec: 0.03, Epoch: 7.450581395348837, LR: 0.001
[2025-04-19 17:37:57] (step=0002564) Train Loss: 0.9928, Train Steps/Sec: 0.03, Epoch: 7.453488372093023, LR: 0.001
[2025-04-19 17:38:07] (step=0002565) Train Loss: 0.8899, Train Steps/Sec: 0.10, Epoch: 7.4563953488372094, LR: 0.001
[2025-04-19 17:38:08] (step=0001557) Train Loss: 0.8066, Train Steps/Sec: 0.02, Epoch: 4.526162790697675, LR: 0.001
[2025-04-19 17:38:36] (step=0002566) Train Loss: 1.2697, Train Steps/Sec: 0.03, Epoch: 7.459302325581396, LR: 0.001
[2025-04-19 17:38:56] (step=0001558) Train Loss: 0.6846, Train Steps/Sec: 0.02, Epoch: 4.52906976744186, LR: 0.001
[2025-04-19 17:39:06] (step=0002567) Train Loss: 1.3354, Train Steps/Sec: 0.03, Epoch: 7.462209302325581, LR: 0.001
[2025-04-19 17:39:35] (step=0002568) Train Loss: 1.2865, Train Steps/Sec: 0.03, Epoch: 7.465116279069767, LR: 0.001
[2025-04-19 17:39:45] (step=0001559) Train Loss: 0.8199, Train Steps/Sec: 0.02, Epoch: 4.531976744186046, LR: 0.001
[2025-04-19 17:40:05] (step=0002569) Train Loss: 0.9902, Train Steps/Sec: 0.03, Epoch: 7.468023255813954, LR: 0.001
[2025-04-19 17:40:33] (step=0001560) Train Loss: 0.3944, Train Steps/Sec: 0.02, Epoch: 4.534883720930233, LR: 0.001
[2025-04-19 17:40:34] (step=0002570) Train Loss: 1.0685, Train Steps/Sec: 0.03, Epoch: 7.47093023255814, LR: 0.001
[2025-04-19 17:41:04] (step=0002571) Train Loss: 1.3156, Train Steps/Sec: 0.03, Epoch: 7.473837209302325, LR: 0.001
[2025-04-19 17:41:21] (step=0001561) Train Loss: 0.6801, Train Steps/Sec: 0.02, Epoch: 4.537790697674419, LR: 0.001
[2025-04-19 17:41:34] (step=0002572) Train Loss: 0.9960, Train Steps/Sec: 0.03, Epoch: 7.476744186046512, LR: 0.001
[2025-04-19 17:42:04] (step=0002573) Train Loss: 0.8980, Train Steps/Sec: 0.03, Epoch: 7.479651162790698, LR: 0.001
[2025-04-19 17:42:10] (step=0001562) Train Loss: 0.8095, Train Steps/Sec: 0.02, Epoch: 4.540697674418604, LR: 0.001
[2025-04-19 17:42:33] (step=0002574) Train Loss: 1.1199, Train Steps/Sec: 0.03, Epoch: 7.482558139534884, LR: 0.001
[2025-04-19 17:42:58] (step=0001563) Train Loss: 0.3930, Train Steps/Sec: 0.02, Epoch: 4.5436046511627906, LR: 0.001
[2025-04-19 17:43:03] (step=0002575) Train Loss: 0.8422, Train Steps/Sec: 0.03, Epoch: 7.4854651162790695, LR: 0.001
[2025-04-19 17:43:32] (step=0002576) Train Loss: 1.0939, Train Steps/Sec: 0.03, Epoch: 7.488372093023256, LR: 0.001
[2025-04-19 17:43:46] (step=0001564) Train Loss: 0.5559, Train Steps/Sec: 0.02, Epoch: 4.546511627906977, LR: 0.001
[2025-04-19 17:44:02] (step=0002577) Train Loss: 1.3576, Train Steps/Sec: 0.03, Epoch: 7.491279069767442, LR: 0.001
[2025-04-19 17:44:32] (step=0002578) Train Loss: 1.3328, Train Steps/Sec: 0.03, Epoch: 7.494186046511628, LR: 0.001
[2025-04-19 17:44:35] (step=0001565) Train Loss: 0.3843, Train Steps/Sec: 0.02, Epoch: 4.549418604651163, LR: 0.001
[2025-04-19 17:45:02] (step=0002579) Train Loss: 1.1016, Train Steps/Sec: 0.03, Epoch: 7.497093023255814, LR: 0.001
[2025-04-19 17:45:23] (step=0001566) Train Loss: 0.5492, Train Steps/Sec: 0.02, Epoch: 4.5523255813953485, LR: 0.001
[2025-04-19 17:45:31] (step=0002580) Train Loss: 0.9565, Train Steps/Sec: 0.03, Epoch: 7.5, LR: 0.001
[2025-04-19 17:46:01] (step=0002581) Train Loss: 1.1566, Train Steps/Sec: 0.03, Epoch: 7.502906976744186, LR: 0.001
[2025-04-19 17:46:11] (step=0001567) Train Loss: 0.7932, Train Steps/Sec: 0.02, Epoch: 4.555232558139535, LR: 0.001
[2025-04-19 17:46:30] (step=0002582) Train Loss: 0.8903, Train Steps/Sec: 0.03, Epoch: 7.505813953488372, LR: 0.001
[2025-04-19 17:47:00] (step=0001568) Train Loss: 0.7575, Train Steps/Sec: 0.02, Epoch: 4.558139534883721, LR: 0.001
[2025-04-19 17:47:00] (step=0002583) Train Loss: 1.2613, Train Steps/Sec: 0.03, Epoch: 7.508720930232558, LR: 0.001
[2025-04-19 17:47:29] (step=0002584) Train Loss: 0.8869, Train Steps/Sec: 0.03, Epoch: 7.511627906976744, LR: 0.001
[2025-04-19 17:47:48] (step=0001569) Train Loss: 0.8221, Train Steps/Sec: 0.02, Epoch: 4.561046511627907, LR: 0.001
[2025-04-19 17:47:59] (step=0002585) Train Loss: 0.8893, Train Steps/Sec: 0.03, Epoch: 7.5145348837209305, LR: 0.001
[2025-04-19 17:48:29] (step=0002586) Train Loss: 0.8370, Train Steps/Sec: 0.03, Epoch: 7.517441860465116, LR: 0.001
[2025-04-19 17:48:36] (step=0001570) Train Loss: 0.6095, Train Steps/Sec: 0.02, Epoch: 4.563953488372093, LR: 0.001
[2025-04-19 17:48:58] (step=0002587) Train Loss: 1.0101, Train Steps/Sec: 0.03, Epoch: 7.520348837209302, LR: 0.001
[2025-04-19 17:49:24] (step=0001571) Train Loss: 0.5538, Train Steps/Sec: 0.02, Epoch: 4.566860465116279, LR: 0.001
[2025-04-19 17:49:28] (step=0002588) Train Loss: 1.2844, Train Steps/Sec: 0.03, Epoch: 7.523255813953488, LR: 0.001
[2025-04-19 17:49:58] (step=0002589) Train Loss: 1.1329, Train Steps/Sec: 0.03, Epoch: 7.526162790697675, LR: 0.001
[2025-04-19 17:50:13] (step=0001572) Train Loss: 0.7912, Train Steps/Sec: 0.02, Epoch: 4.569767441860465, LR: 0.001
[2025-04-19 17:50:27] (step=0002590) Train Loss: 0.8777, Train Steps/Sec: 0.03, Epoch: 7.52906976744186, LR: 0.001
[2025-04-19 17:50:57] (step=0002591) Train Loss: 1.1713, Train Steps/Sec: 0.03, Epoch: 7.531976744186046, LR: 0.001
[2025-04-19 17:51:01] (step=0001573) Train Loss: 0.7578, Train Steps/Sec: 0.02, Epoch: 4.5726744186046515, LR: 0.001
[2025-04-19 17:51:27] (step=0002592) Train Loss: 1.0186, Train Steps/Sec: 0.03, Epoch: 7.534883720930233, LR: 0.001
[2025-04-19 17:51:49] (step=0001574) Train Loss: 0.8219, Train Steps/Sec: 0.02, Epoch: 4.575581395348837, LR: 0.001
[2025-04-19 17:51:56] (step=0002593) Train Loss: 1.0072, Train Steps/Sec: 0.03, Epoch: 7.537790697674419, LR: 0.001
[2025-04-19 17:52:26] (step=0002594) Train Loss: 1.1095, Train Steps/Sec: 0.03, Epoch: 7.540697674418604, LR: 0.001
[2025-04-19 17:52:38] (step=0001575) Train Loss: 0.3270, Train Steps/Sec: 0.02, Epoch: 4.578488372093023, LR: 0.001
[2025-04-19 17:52:56] (step=0002595) Train Loss: 0.8748, Train Steps/Sec: 0.03, Epoch: 7.5436046511627906, LR: 0.001
[2025-04-19 17:53:26] (step=0001576) Train Loss: 0.6826, Train Steps/Sec: 0.02, Epoch: 4.5813953488372094, LR: 0.001
[2025-04-19 17:53:26] (step=0002596) Train Loss: 1.0577, Train Steps/Sec: 0.03, Epoch: 7.546511627906977, LR: 0.001
[2025-04-19 17:53:55] (step=0002597) Train Loss: 1.0024, Train Steps/Sec: 0.03, Epoch: 7.549418604651163, LR: 0.001
[2025-04-19 17:54:14] (step=0001577) Train Loss: 0.7789, Train Steps/Sec: 0.02, Epoch: 4.584302325581396, LR: 0.001
[2025-04-19 17:54:25] (step=0002598) Train Loss: 0.9653, Train Steps/Sec: 0.03, Epoch: 7.5523255813953485, LR: 0.001
[2025-04-19 17:54:54] (step=0002599) Train Loss: 0.9724, Train Steps/Sec: 0.03, Epoch: 7.555232558139535, LR: 0.001
[2025-04-19 17:55:03] (step=0001578) Train Loss: 0.4585, Train Steps/Sec: 0.02, Epoch: 4.587209302325581, LR: 0.001
[2025-04-19 17:55:24] (step=0002600) Train Loss: 0.8705, Train Steps/Sec: 0.03, Epoch: 7.558139534883721, LR: 0.001
[2025-04-19 17:55:38] Saved checkpoint to ./results/sfm_based//checkpoints/0002600/
[2025-04-19 17:55:51] (step=0001579) Train Loss: 0.5023, Train Steps/Sec: 0.02, Epoch: 4.590116279069767, LR: 0.001
[2025-04-19 17:56:07] (step=0002601) Train Loss: 0.9174, Train Steps/Sec: 0.02, Epoch: 7.561046511627907, LR: 0.001
[2025-04-19 17:56:37] (step=0002602) Train Loss: 0.8079, Train Steps/Sec: 0.03, Epoch: 7.563953488372093, LR: 0.001
[2025-04-19 17:56:39] (step=0001580) Train Loss: 0.7035, Train Steps/Sec: 0.02, Epoch: 4.593023255813954, LR: 0.001
[2025-04-19 17:57:06] (step=0002603) Train Loss: 0.7275, Train Steps/Sec: 0.03, Epoch: 7.566860465116279, LR: 0.001
[2025-04-19 17:57:27] (step=0001581) Train Loss: 0.5644, Train Steps/Sec: 0.02, Epoch: 4.59593023255814, LR: 0.001
[2025-04-19 17:57:36] (step=0002604) Train Loss: 1.2462, Train Steps/Sec: 0.03, Epoch: 7.569767441860465, LR: 0.001
[2025-04-19 17:58:06] (step=0002605) Train Loss: 1.2124, Train Steps/Sec: 0.03, Epoch: 7.5726744186046515, LR: 0.001
[2025-04-19 17:58:16] (step=0001582) Train Loss: 0.4254, Train Steps/Sec: 0.02, Epoch: 4.598837209302325, LR: 0.001
[2025-04-19 17:58:36] (step=0002606) Train Loss: 1.0711, Train Steps/Sec: 0.03, Epoch: 7.575581395348837, LR: 0.001
[2025-04-19 17:59:04] (step=0001583) Train Loss: 0.8364, Train Steps/Sec: 0.02, Epoch: 4.601744186046512, LR: 0.001
[2025-04-19 17:59:05] (step=0002607) Train Loss: 0.9020, Train Steps/Sec: 0.03, Epoch: 7.578488372093023, LR: 0.001
[2025-04-19 17:59:35] (step=0002608) Train Loss: 0.8126, Train Steps/Sec: 0.03, Epoch: 7.5813953488372094, LR: 0.001
[2025-04-19 17:59:52] (step=0001584) Train Loss: 0.5592, Train Steps/Sec: 0.02, Epoch: 4.604651162790698, LR: 0.001
[2025-04-19 18:00:05] (step=0002609) Train Loss: 1.3436, Train Steps/Sec: 0.03, Epoch: 7.584302325581396, LR: 0.001
[2025-04-19 18:00:34] (step=0002610) Train Loss: 1.1446, Train Steps/Sec: 0.03, Epoch: 7.587209302325581, LR: 0.001
[2025-04-19 18:00:41] (step=0001585) Train Loss: 0.4994, Train Steps/Sec: 0.02, Epoch: 4.607558139534884, LR: 0.001
[2025-04-19 18:01:04] (step=0002611) Train Loss: 0.9310, Train Steps/Sec: 0.03, Epoch: 7.590116279069767, LR: 0.001
[2025-04-19 18:01:29] (step=0001586) Train Loss: 0.5395, Train Steps/Sec: 0.02, Epoch: 4.6104651162790695, LR: 0.001
[2025-04-19 18:01:34] (step=0002612) Train Loss: 0.9990, Train Steps/Sec: 0.03, Epoch: 7.593023255813954, LR: 0.001
[2025-04-19 18:02:03] (step=0002613) Train Loss: 0.9709, Train Steps/Sec: 0.03, Epoch: 7.59593023255814, LR: 0.001
[2025-04-19 18:02:17] (step=0001587) Train Loss: 0.8043, Train Steps/Sec: 0.02, Epoch: 4.613372093023256, LR: 0.001
[2025-04-19 18:02:33] (step=0002614) Train Loss: 1.1319, Train Steps/Sec: 0.03, Epoch: 7.598837209302325, LR: 0.001
[2025-04-19 18:03:03] (step=0002615) Train Loss: 0.8860, Train Steps/Sec: 0.03, Epoch: 7.601744186046512, LR: 0.001
[2025-04-19 18:03:06] (step=0001588) Train Loss: 0.5990, Train Steps/Sec: 0.02, Epoch: 4.616279069767442, LR: 0.001
[2025-04-19 18:03:32] (step=0002616) Train Loss: 0.9223, Train Steps/Sec: 0.03, Epoch: 7.604651162790698, LR: 0.001
[2025-04-19 18:03:54] (step=0001589) Train Loss: 0.6498, Train Steps/Sec: 0.02, Epoch: 4.619186046511628, LR: 0.001
[2025-04-19 18:04:02] (step=0002617) Train Loss: 1.0345, Train Steps/Sec: 0.03, Epoch: 7.607558139534884, LR: 0.001
[2025-04-19 18:04:31] (step=0002618) Train Loss: 1.1335, Train Steps/Sec: 0.03, Epoch: 7.6104651162790695, LR: 0.001
[2025-04-19 18:04:42] (step=0001590) Train Loss: 0.6256, Train Steps/Sec: 0.02, Epoch: 4.622093023255814, LR: 0.001
[2025-04-19 18:05:01] (step=0002619) Train Loss: 0.9926, Train Steps/Sec: 0.03, Epoch: 7.613372093023256, LR: 0.001
[2025-04-19 18:05:30] (step=0002620) Train Loss: 0.7125, Train Steps/Sec: 0.03, Epoch: 7.616279069767442, LR: 0.001
[2025-04-19 18:05:31] (step=0001591) Train Loss: 0.4571, Train Steps/Sec: 0.02, Epoch: 4.625, LR: 0.001
[2025-04-19 18:06:00] (step=0002621) Train Loss: 1.0298, Train Steps/Sec: 0.03, Epoch: 7.619186046511628, LR: 0.001
[2025-04-19 18:06:19] (step=0001592) Train Loss: 0.8699, Train Steps/Sec: 0.02, Epoch: 4.627906976744186, LR: 0.001
[2025-04-19 18:06:30] (step=0002622) Train Loss: 0.8390, Train Steps/Sec: 0.03, Epoch: 7.622093023255814, LR: 0.001
[2025-04-19 18:06:59] (step=0002623) Train Loss: 0.7644, Train Steps/Sec: 0.03, Epoch: 7.625, LR: 0.001
[2025-04-19 18:07:07] (step=0001593) Train Loss: 0.5026, Train Steps/Sec: 0.02, Epoch: 4.630813953488372, LR: 0.001
[2025-04-19 18:07:29] (step=0002624) Train Loss: 1.0513, Train Steps/Sec: 0.03, Epoch: 7.627906976744186, LR: 0.001
[2025-04-19 18:07:56] (step=0001594) Train Loss: 0.5326, Train Steps/Sec: 0.02, Epoch: 4.633720930232558, LR: 0.001
[2025-04-19 18:07:58] (step=0002625) Train Loss: 0.9957, Train Steps/Sec: 0.03, Epoch: 7.630813953488372, LR: 0.001
[2025-04-19 18:08:28] (step=0002626) Train Loss: 0.8332, Train Steps/Sec: 0.03, Epoch: 7.633720930232558, LR: 0.001
[2025-04-19 18:08:44] (step=0001595) Train Loss: 0.4004, Train Steps/Sec: 0.02, Epoch: 4.636627906976744, LR: 0.001
[2025-04-19 18:08:58] (step=0002627) Train Loss: 1.3218, Train Steps/Sec: 0.03, Epoch: 7.636627906976744, LR: 0.001
[2025-04-19 18:09:27] (step=0002628) Train Loss: 0.8452, Train Steps/Sec: 0.03, Epoch: 7.6395348837209305, LR: 0.001
[2025-04-19 18:09:33] (step=0001596) Train Loss: 0.2880, Train Steps/Sec: 0.02, Epoch: 4.6395348837209305, LR: 0.001
[2025-04-19 18:09:57] (step=0002629) Train Loss: 1.0143, Train Steps/Sec: 0.03, Epoch: 7.642441860465116, LR: 0.001
[2025-04-19 18:10:21] (step=0001597) Train Loss: 0.6937, Train Steps/Sec: 0.02, Epoch: 4.642441860465116, LR: 0.001
[2025-04-19 18:10:27] (step=0002630) Train Loss: 0.9775, Train Steps/Sec: 0.03, Epoch: 7.645348837209302, LR: 0.001
[2025-04-19 18:10:56] (step=0002631) Train Loss: 0.7746, Train Steps/Sec: 0.03, Epoch: 7.648255813953488, LR: 0.001
[2025-04-19 18:11:10] (step=0001598) Train Loss: 0.5590, Train Steps/Sec: 0.02, Epoch: 4.645348837209302, LR: 0.001
[2025-04-19 18:11:26] (step=0002632) Train Loss: 0.8913, Train Steps/Sec: 0.03, Epoch: 7.651162790697675, LR: 0.001
[2025-04-19 18:11:56] (step=0002633) Train Loss: 1.2476, Train Steps/Sec: 0.03, Epoch: 7.65406976744186, LR: 0.001
[2025-04-19 18:11:58] (step=0001599) Train Loss: 0.7920, Train Steps/Sec: 0.02, Epoch: 4.648255813953488, LR: 0.001
[2025-04-19 18:12:26] (step=0002634) Train Loss: 1.0912, Train Steps/Sec: 0.03, Epoch: 7.656976744186046, LR: 0.001
[2025-04-19 18:12:46] (step=0001600) Train Loss: 0.4764, Train Steps/Sec: 0.02, Epoch: 4.651162790697675, LR: 0.001
[2025-04-19 18:12:55] (step=0002635) Train Loss: 1.1810, Train Steps/Sec: 0.03, Epoch: 7.659883720930233, LR: 0.001
[2025-04-19 18:13:00] Saved checkpoint to ./results/sfm_based//checkpoints/0001600/
[2025-04-19 18:13:25] (step=0002636) Train Loss: 0.8952, Train Steps/Sec: 0.03, Epoch: 7.662790697674419, LR: 0.001
[2025-04-19 18:13:48] (step=0001601) Train Loss: 0.4383, Train Steps/Sec: 0.02, Epoch: 4.65406976744186, LR: 0.001
[2025-04-19 18:13:55] (step=0002637) Train Loss: 0.9277, Train Steps/Sec: 0.03, Epoch: 7.665697674418604, LR: 0.001
[2025-04-19 18:14:24] (step=0002638) Train Loss: 1.0159, Train Steps/Sec: 0.03, Epoch: 7.6686046511627906, LR: 0.001
[2025-04-19 18:14:36] (step=0001602) Train Loss: 0.5445, Train Steps/Sec: 0.02, Epoch: 4.656976744186046, LR: 0.001
[2025-04-19 18:14:54] (step=0002639) Train Loss: 1.3208, Train Steps/Sec: 0.03, Epoch: 7.671511627906977, LR: 0.001
[2025-04-19 18:15:24] (step=0002640) Train Loss: 0.8984, Train Steps/Sec: 0.03, Epoch: 7.674418604651163, LR: 0.001
[2025-04-19 18:15:24] (step=0001603) Train Loss: 0.6249, Train Steps/Sec: 0.02, Epoch: 4.659883720930233, LR: 0.001
[2025-04-19 18:15:54] (step=0002641) Train Loss: 1.1754, Train Steps/Sec: 0.03, Epoch: 7.6773255813953485, LR: 0.001
[2025-04-19 18:16:13] (step=0001604) Train Loss: 0.5448, Train Steps/Sec: 0.02, Epoch: 4.662790697674419, LR: 0.001
[2025-04-19 18:16:23] (step=0002642) Train Loss: 0.8467, Train Steps/Sec: 0.03, Epoch: 7.680232558139535, LR: 0.001
[2025-04-19 18:16:53] (step=0002643) Train Loss: 1.1344, Train Steps/Sec: 0.03, Epoch: 7.683139534883721, LR: 0.001
[2025-04-19 18:17:01] (step=0001605) Train Loss: 0.4856, Train Steps/Sec: 0.02, Epoch: 4.665697674418604, LR: 0.001
[2025-04-19 18:17:22] (step=0002644) Train Loss: 1.1992, Train Steps/Sec: 0.03, Epoch: 7.686046511627907, LR: 0.001
[2025-04-19 18:17:49] (step=0001606) Train Loss: 0.8013, Train Steps/Sec: 0.02, Epoch: 4.6686046511627906, LR: 0.001
[2025-04-19 18:17:52] (step=0002645) Train Loss: 1.1987, Train Steps/Sec: 0.03, Epoch: 7.688953488372093, LR: 0.001
[2025-04-19 18:18:22] (step=0002646) Train Loss: 0.7781, Train Steps/Sec: 0.03, Epoch: 7.691860465116279, LR: 0.001
[2025-04-19 18:18:37] (step=0001607) Train Loss: 0.5586, Train Steps/Sec: 0.02, Epoch: 4.671511627906977, LR: 0.001
[2025-04-19 18:18:51] (step=0002647) Train Loss: 1.1141, Train Steps/Sec: 0.03, Epoch: 7.694767441860465, LR: 0.001
[2025-04-19 18:19:21] (step=0002648) Train Loss: 1.1023, Train Steps/Sec: 0.03, Epoch: 7.6976744186046515, LR: 0.001
[2025-04-19 18:19:26] (step=0001608) Train Loss: 0.6459, Train Steps/Sec: 0.02, Epoch: 4.674418604651163, LR: 0.001
[2025-04-19 18:19:51] (step=0002649) Train Loss: 1.2765, Train Steps/Sec: 0.03, Epoch: 7.700581395348837, LR: 0.001
[2025-04-19 18:20:14] (step=0001609) Train Loss: 0.6803, Train Steps/Sec: 0.02, Epoch: 4.6773255813953485, LR: 0.001
[2025-04-19 18:20:20] (step=0002650) Train Loss: 0.9390, Train Steps/Sec: 0.03, Epoch: 7.703488372093023, LR: 0.001
[2025-04-19 18:20:50] (step=0002651) Train Loss: 0.7776, Train Steps/Sec: 0.03, Epoch: 7.7063953488372094, LR: 0.001
[2025-04-19 18:21:02] (step=0001610) Train Loss: 0.7339, Train Steps/Sec: 0.02, Epoch: 4.680232558139535, LR: 0.001
[2025-04-19 18:21:20] (step=0002652) Train Loss: 0.7911, Train Steps/Sec: 0.03, Epoch: 7.709302325581396, LR: 0.001
[2025-04-19 18:21:49] (step=0002653) Train Loss: 1.2099, Train Steps/Sec: 0.03, Epoch: 7.712209302325581, LR: 0.001
[2025-04-19 18:21:51] (step=0001611) Train Loss: 0.7008, Train Steps/Sec: 0.02, Epoch: 4.683139534883721, LR: 0.001
[2025-04-19 18:22:09] (step=0001612) Train Loss: 0.6232, Train Steps/Sec: 0.05, Epoch: 4.686046511627907, LR: 0.001
[2025-04-19 18:22:19] (step=0002654) Train Loss: 1.2488, Train Steps/Sec: 0.03, Epoch: 7.715116279069767, LR: 0.001
[2025-04-19 18:22:49] (step=0002655) Train Loss: 1.2955, Train Steps/Sec: 0.03, Epoch: 7.718023255813954, LR: 0.001
[2025-04-19 18:22:58] (step=0001613) Train Loss: 0.7257, Train Steps/Sec: 0.02, Epoch: 4.688953488372093, LR: 0.001
[2025-04-19 18:22:58] (step=0002656) Train Loss: 0.8314, Train Steps/Sec: 0.10, Epoch: 7.72093023255814, LR: 0.001
[2025-04-19 18:23:28] (step=0002657) Train Loss: 0.9490, Train Steps/Sec: 0.03, Epoch: 7.723837209302325, LR: 0.001
[2025-04-19 18:23:46] (step=0001614) Train Loss: 0.6323, Train Steps/Sec: 0.02, Epoch: 4.691860465116279, LR: 0.001
[2025-04-19 18:23:58] (step=0002658) Train Loss: 1.1039, Train Steps/Sec: 0.03, Epoch: 7.726744186046512, LR: 0.001
[2025-04-19 18:24:28] (step=0002659) Train Loss: 1.1247, Train Steps/Sec: 0.03, Epoch: 7.729651162790698, LR: 0.001
[2025-04-19 18:24:34] (step=0001615) Train Loss: 0.3389, Train Steps/Sec: 0.02, Epoch: 4.694767441860465, LR: 0.001
[2025-04-19 18:24:57] (step=0002660) Train Loss: 0.8642, Train Steps/Sec: 0.03, Epoch: 7.732558139534884, LR: 0.001
[2025-04-19 18:25:23] (step=0001616) Train Loss: 0.4027, Train Steps/Sec: 0.02, Epoch: 4.6976744186046515, LR: 0.001
[2025-04-19 18:25:27] (step=0002661) Train Loss: 1.2627, Train Steps/Sec: 0.03, Epoch: 7.7354651162790695, LR: 0.001
[2025-04-19 18:25:57] (step=0002662) Train Loss: 0.7989, Train Steps/Sec: 0.03, Epoch: 7.738372093023256, LR: 0.001
[2025-04-19 18:26:11] (step=0001617) Train Loss: 0.8335, Train Steps/Sec: 0.02, Epoch: 4.700581395348837, LR: 0.001
[2025-04-19 18:26:26] (step=0002663) Train Loss: 0.8194, Train Steps/Sec: 0.03, Epoch: 7.741279069767442, LR: 0.001
[2025-04-19 18:26:56] (step=0002664) Train Loss: 1.2419, Train Steps/Sec: 0.03, Epoch: 7.744186046511628, LR: 0.001
[2025-04-19 18:27:00] (step=0001618) Train Loss: 0.3265, Train Steps/Sec: 0.02, Epoch: 4.703488372093023, LR: 0.001
[2025-04-19 18:27:26] (step=0002665) Train Loss: 1.2859, Train Steps/Sec: 0.03, Epoch: 7.747093023255814, LR: 0.001
[2025-04-19 18:27:48] (step=0001619) Train Loss: 0.3602, Train Steps/Sec: 0.02, Epoch: 4.7063953488372094, LR: 0.001
[2025-04-19 18:27:55] (step=0002666) Train Loss: 0.8766, Train Steps/Sec: 0.03, Epoch: 7.75, LR: 0.001
[2025-04-19 18:28:25] (step=0002667) Train Loss: 1.1704, Train Steps/Sec: 0.03, Epoch: 7.752906976744186, LR: 0.001
[2025-04-19 18:28:36] (step=0001620) Train Loss: 0.7990, Train Steps/Sec: 0.02, Epoch: 4.709302325581396, LR: 0.001
[2025-04-19 18:28:55] (step=0002668) Train Loss: 0.8555, Train Steps/Sec: 0.03, Epoch: 7.755813953488372, LR: 0.001
[2025-04-19 18:29:24] (step=0001621) Train Loss: 0.5208, Train Steps/Sec: 0.02, Epoch: 4.712209302325581, LR: 0.001
[2025-04-19 18:29:25] (step=0002669) Train Loss: 1.2205, Train Steps/Sec: 0.03, Epoch: 7.758720930232558, LR: 0.001
[2025-04-19 18:29:54] (step=0002670) Train Loss: 0.8916, Train Steps/Sec: 0.03, Epoch: 7.761627906976744, LR: 0.001
[2025-04-19 18:30:12] (step=0001622) Train Loss: 0.4440, Train Steps/Sec: 0.02, Epoch: 4.715116279069767, LR: 0.001
[2025-04-19 18:30:24] (step=0002671) Train Loss: 0.6612, Train Steps/Sec: 0.03, Epoch: 7.7645348837209305, LR: 0.001
[2025-04-19 18:30:34] (step=0002672) Train Loss: 1.2963, Train Steps/Sec: 0.10, Epoch: 7.767441860465116, LR: 0.001
[2025-04-19 18:31:01] (step=0001623) Train Loss: 0.5472, Train Steps/Sec: 0.02, Epoch: 4.718023255813954, LR: 0.001
[2025-04-19 18:31:03] (step=0002673) Train Loss: 1.1806, Train Steps/Sec: 0.03, Epoch: 7.770348837209302, LR: 0.001
[2025-04-19 18:31:33] (step=0002674) Train Loss: 1.2801, Train Steps/Sec: 0.03, Epoch: 7.773255813953488, LR: 0.001
[2025-04-19 18:31:49] (step=0001624) Train Loss: 0.4254, Train Steps/Sec: 0.02, Epoch: 4.72093023255814, LR: 0.001
[2025-04-19 18:32:02] (step=0002675) Train Loss: 0.7593, Train Steps/Sec: 0.03, Epoch: 7.776162790697675, LR: 0.001
[2025-04-19 18:32:32] (step=0002676) Train Loss: 1.0147, Train Steps/Sec: 0.03, Epoch: 7.77906976744186, LR: 0.001
[2025-04-19 18:32:38] (step=0001625) Train Loss: 0.8246, Train Steps/Sec: 0.02, Epoch: 4.723837209302325, LR: 0.001
[2025-04-19 18:33:01] (step=0002677) Train Loss: 0.9103, Train Steps/Sec: 0.03, Epoch: 7.781976744186046, LR: 0.001
[2025-04-19 18:33:26] (step=0001626) Train Loss: 0.6445, Train Steps/Sec: 0.02, Epoch: 4.726744186046512, LR: 0.001
[2025-04-19 18:33:31] (step=0002678) Train Loss: 1.0030, Train Steps/Sec: 0.03, Epoch: 7.784883720930233, LR: 0.001
[2025-04-19 18:34:01] (step=0002679) Train Loss: 0.9575, Train Steps/Sec: 0.03, Epoch: 7.787790697674419, LR: 0.001
[2025-04-19 18:34:14] (step=0001627) Train Loss: 0.7975, Train Steps/Sec: 0.02, Epoch: 4.729651162790698, LR: 0.001
[2025-04-19 18:34:31] (step=0002680) Train Loss: 1.3700, Train Steps/Sec: 0.03, Epoch: 7.790697674418604, LR: 0.001
[2025-04-19 18:35:01] (step=0002681) Train Loss: 0.8998, Train Steps/Sec: 0.03, Epoch: 7.7936046511627906, LR: 0.001
[2025-04-19 18:35:03] (step=0001628) Train Loss: 0.6433, Train Steps/Sec: 0.02, Epoch: 4.732558139534884, LR: 0.001
[2025-04-19 18:35:30] (step=0002682) Train Loss: 1.2470, Train Steps/Sec: 0.03, Epoch: 7.796511627906977, LR: 0.001
[2025-04-19 18:35:51] (step=0001629) Train Loss: 0.3963, Train Steps/Sec: 0.02, Epoch: 4.7354651162790695, LR: 0.001
[2025-04-19 18:36:00] (step=0002683) Train Loss: 0.9964, Train Steps/Sec: 0.03, Epoch: 7.799418604651163, LR: 0.001
[2025-04-19 18:36:29] (step=0002684) Train Loss: 0.7817, Train Steps/Sec: 0.03, Epoch: 7.8023255813953485, LR: 0.001
[2025-04-19 18:36:39] (step=0001630) Train Loss: 0.7928, Train Steps/Sec: 0.02, Epoch: 4.738372093023256, LR: 0.001
[2025-04-19 18:36:59] (step=0002685) Train Loss: 0.9347, Train Steps/Sec: 0.03, Epoch: 7.805232558139535, LR: 0.001
[2025-04-19 18:37:27] (step=0001631) Train Loss: 0.6209, Train Steps/Sec: 0.02, Epoch: 4.741279069767442, LR: 0.001
[2025-04-19 18:37:29] (step=0002686) Train Loss: 1.3649, Train Steps/Sec: 0.03, Epoch: 7.808139534883721, LR: 0.001
[2025-04-19 18:37:59] (step=0002687) Train Loss: 1.2883, Train Steps/Sec: 0.03, Epoch: 7.811046511627907, LR: 0.001
[2025-04-19 18:38:15] (step=0001632) Train Loss: 0.5817, Train Steps/Sec: 0.02, Epoch: 4.744186046511628, LR: 0.001
[2025-04-19 18:38:28] (step=0002688) Train Loss: 1.0423, Train Steps/Sec: 0.03, Epoch: 7.813953488372093, LR: 0.001
[2025-04-19 18:38:58] (step=0002689) Train Loss: 1.1478, Train Steps/Sec: 0.03, Epoch: 7.816860465116279, LR: 0.001
[2025-04-19 18:39:04] (step=0001633) Train Loss: 0.6987, Train Steps/Sec: 0.02, Epoch: 4.747093023255814, LR: 0.001
[2025-04-19 18:39:28] (step=0002690) Train Loss: 0.9434, Train Steps/Sec: 0.03, Epoch: 7.819767441860465, LR: 0.001
[2025-04-19 18:39:52] (step=0001634) Train Loss: 0.7807, Train Steps/Sec: 0.02, Epoch: 4.75, LR: 0.001
[2025-04-19 18:39:58] (step=0002691) Train Loss: 1.2098, Train Steps/Sec: 0.03, Epoch: 7.8226744186046515, LR: 0.001
[2025-04-19 18:40:27] (step=0002692) Train Loss: 0.9123, Train Steps/Sec: 0.03, Epoch: 7.825581395348837, LR: 0.001
[2025-04-19 18:40:41] (step=0001635) Train Loss: 0.6909, Train Steps/Sec: 0.02, Epoch: 4.752906976744186, LR: 0.001
[2025-04-19 18:40:57] (step=0002693) Train Loss: 0.9016, Train Steps/Sec: 0.03, Epoch: 7.828488372093023, LR: 0.001
[2025-04-19 18:41:27] (step=0002694) Train Loss: 0.7651, Train Steps/Sec: 0.03, Epoch: 7.8313953488372094, LR: 0.001
[2025-04-19 18:41:29] (step=0001636) Train Loss: 0.6461, Train Steps/Sec: 0.02, Epoch: 4.755813953488372, LR: 0.001
[2025-04-19 18:41:57] (step=0002695) Train Loss: 1.0047, Train Steps/Sec: 0.03, Epoch: 7.834302325581396, LR: 0.001
[2025-04-19 18:42:17] (step=0001637) Train Loss: 0.8326, Train Steps/Sec: 0.02, Epoch: 4.758720930232558, LR: 0.001
[2025-04-19 18:42:26] (step=0002696) Train Loss: 0.8474, Train Steps/Sec: 0.03, Epoch: 7.837209302325581, LR: 0.001
[2025-04-19 18:42:56] (step=0002697) Train Loss: 1.1346, Train Steps/Sec: 0.03, Epoch: 7.840116279069767, LR: 0.001
[2025-04-19 18:43:06] (step=0001638) Train Loss: 0.6331, Train Steps/Sec: 0.02, Epoch: 4.761627906976744, LR: 0.001
[2025-04-19 18:43:26] (step=0002698) Train Loss: 0.9912, Train Steps/Sec: 0.03, Epoch: 7.843023255813954, LR: 0.001
[2025-04-19 18:43:54] (step=0001639) Train Loss: 0.5646, Train Steps/Sec: 0.02, Epoch: 4.7645348837209305, LR: 0.001
[2025-04-19 18:43:55] (step=0002699) Train Loss: 1.2310, Train Steps/Sec: 0.03, Epoch: 7.84593023255814, LR: 0.001
[2025-04-19 18:44:25] (step=0002700) Train Loss: 0.8365, Train Steps/Sec: 0.03, Epoch: 7.848837209302325, LR: 0.001
[2025-04-19 18:44:42] (step=0001640) Train Loss: 0.5392, Train Steps/Sec: 0.02, Epoch: 4.767441860465116, LR: 0.001
[2025-04-19 18:44:54] (step=0002701) Train Loss: 0.8334, Train Steps/Sec: 0.03, Epoch: 7.851744186046512, LR: 0.001
[2025-04-19 18:45:24] (step=0002702) Train Loss: 1.1269, Train Steps/Sec: 0.03, Epoch: 7.854651162790698, LR: 0.001
[2025-04-19 18:45:31] (step=0001641) Train Loss: 0.4587, Train Steps/Sec: 0.02, Epoch: 4.770348837209302, LR: 0.001
[2025-04-19 18:45:54] (step=0002703) Train Loss: 0.9920, Train Steps/Sec: 0.03, Epoch: 7.857558139534884, LR: 0.001
[2025-04-19 18:46:19] (step=0001642) Train Loss: 0.3976, Train Steps/Sec: 0.02, Epoch: 4.773255813953488, LR: 0.001
[2025-04-19 18:46:23] (step=0002704) Train Loss: 1.1998, Train Steps/Sec: 0.03, Epoch: 7.8604651162790695, LR: 0.001
[2025-04-19 18:46:53] (step=0002705) Train Loss: 0.9103, Train Steps/Sec: 0.03, Epoch: 7.863372093023256, LR: 0.001
[2025-04-19 18:47:07] (step=0001643) Train Loss: 0.7150, Train Steps/Sec: 0.02, Epoch: 4.776162790697675, LR: 0.001
[2025-04-19 18:47:23] (step=0002706) Train Loss: 1.1967, Train Steps/Sec: 0.03, Epoch: 7.866279069767442, LR: 0.001
[2025-04-19 18:47:52] (step=0002707) Train Loss: 1.0720, Train Steps/Sec: 0.03, Epoch: 7.869186046511628, LR: 0.001
[2025-04-19 18:47:56] (step=0001644) Train Loss: 0.8677, Train Steps/Sec: 0.02, Epoch: 4.77906976744186, LR: 0.001
[2025-04-19 18:48:22] (step=0002708) Train Loss: 0.8841, Train Steps/Sec: 0.03, Epoch: 7.872093023255814, LR: 0.001
[2025-04-19 18:48:44] (step=0001645) Train Loss: 0.6013, Train Steps/Sec: 0.02, Epoch: 4.781976744186046, LR: 0.001
[2025-04-19 18:48:52] (step=0002709) Train Loss: 0.9423, Train Steps/Sec: 0.03, Epoch: 7.875, LR: 0.001
[2025-04-19 18:49:22] (step=0002710) Train Loss: 1.1895, Train Steps/Sec: 0.03, Epoch: 7.877906976744186, LR: 0.001
[2025-04-19 18:49:33] (step=0001646) Train Loss: 0.5436, Train Steps/Sec: 0.02, Epoch: 4.784883720930233, LR: 0.001
[2025-04-19 18:49:51] (step=0002711) Train Loss: 0.7749, Train Steps/Sec: 0.03, Epoch: 7.880813953488372, LR: 0.001
[2025-04-19 18:50:21] (step=0001647) Train Loss: 0.6062, Train Steps/Sec: 0.02, Epoch: 4.787790697674419, LR: 0.001
[2025-04-19 18:50:21] (step=0002712) Train Loss: 0.9358, Train Steps/Sec: 0.03, Epoch: 7.883720930232558, LR: 0.001
[2025-04-19 18:50:51] (step=0002713) Train Loss: 1.1768, Train Steps/Sec: 0.03, Epoch: 7.886627906976744, LR: 0.001
[2025-04-19 18:51:09] (step=0001648) Train Loss: 0.8328, Train Steps/Sec: 0.02, Epoch: 4.790697674418604, LR: 0.001
[2025-04-19 18:51:21] (step=0002714) Train Loss: 0.9305, Train Steps/Sec: 0.03, Epoch: 7.8895348837209305, LR: 0.001
[2025-04-19 18:51:50] (step=0002715) Train Loss: 0.8707, Train Steps/Sec: 0.03, Epoch: 7.892441860465116, LR: 0.001
[2025-04-19 18:51:58] (step=0001649) Train Loss: 0.7226, Train Steps/Sec: 0.02, Epoch: 4.7936046511627906, LR: 0.001
[2025-04-19 18:52:20] (step=0002716) Train Loss: 1.1458, Train Steps/Sec: 0.03, Epoch: 7.895348837209302, LR: 0.001
[2025-04-19 18:52:46] (step=0001650) Train Loss: 0.7609, Train Steps/Sec: 0.02, Epoch: 4.796511627906977, LR: 0.001
[2025-04-19 18:52:50] (step=0002717) Train Loss: 1.0197, Train Steps/Sec: 0.03, Epoch: 7.898255813953488, LR: 0.001
[2025-04-19 18:53:19] (step=0002718) Train Loss: 0.9960, Train Steps/Sec: 0.03, Epoch: 7.901162790697675, LR: 0.001
[2025-04-19 18:53:35] (step=0001651) Train Loss: 0.7476, Train Steps/Sec: 0.02, Epoch: 4.799418604651163, LR: 0.001
[2025-04-19 18:53:49] (step=0002719) Train Loss: 0.9863, Train Steps/Sec: 0.03, Epoch: 7.90406976744186, LR: 0.001
[2025-04-19 18:54:19] (step=0002720) Train Loss: 0.7757, Train Steps/Sec: 0.03, Epoch: 7.906976744186046, LR: 0.001
[2025-04-19 18:54:23] (step=0001652) Train Loss: 0.6523, Train Steps/Sec: 0.02, Epoch: 4.8023255813953485, LR: 0.001
[2025-04-19 18:54:48] (step=0002721) Train Loss: 1.0298, Train Steps/Sec: 0.03, Epoch: 7.909883720930233, LR: 0.001
[2025-04-19 18:55:11] (step=0001653) Train Loss: 0.6164, Train Steps/Sec: 0.02, Epoch: 4.805232558139535, LR: 0.001
[2025-04-19 18:55:18] (step=0002722) Train Loss: 1.0576, Train Steps/Sec: 0.03, Epoch: 7.912790697674419, LR: 0.001
[2025-04-19 18:55:48] (step=0002723) Train Loss: 1.0192, Train Steps/Sec: 0.03, Epoch: 7.915697674418604, LR: 0.001
[2025-04-19 18:56:00] (step=0001654) Train Loss: 0.4688, Train Steps/Sec: 0.02, Epoch: 4.808139534883721, LR: 0.001
[2025-04-19 18:56:17] (step=0002724) Train Loss: 1.0322, Train Steps/Sec: 0.03, Epoch: 7.9186046511627906, LR: 0.001
[2025-04-19 18:56:47] (step=0002725) Train Loss: 0.7387, Train Steps/Sec: 0.03, Epoch: 7.921511627906977, LR: 0.001
[2025-04-19 18:56:48] (step=0001655) Train Loss: 0.8437, Train Steps/Sec: 0.02, Epoch: 4.811046511627907, LR: 0.001
[2025-04-19 18:57:17] (step=0002726) Train Loss: 0.8024, Train Steps/Sec: 0.03, Epoch: 7.924418604651163, LR: 0.001
[2025-04-19 18:57:36] (step=0001656) Train Loss: 0.7124, Train Steps/Sec: 0.02, Epoch: 4.813953488372093, LR: 0.001
[2025-04-19 18:57:47] (step=0002727) Train Loss: 0.9627, Train Steps/Sec: 0.03, Epoch: 7.9273255813953485, LR: 0.001
[2025-04-19 18:58:16] (step=0002728) Train Loss: 1.1064, Train Steps/Sec: 0.03, Epoch: 7.930232558139535, LR: 0.001
[2025-04-19 18:58:25] (step=0001657) Train Loss: 0.4757, Train Steps/Sec: 0.02, Epoch: 4.816860465116279, LR: 0.001
[2025-04-19 18:58:46] (step=0002729) Train Loss: 1.0294, Train Steps/Sec: 0.03, Epoch: 7.933139534883721, LR: 0.001
[2025-04-19 18:59:13] (step=0001658) Train Loss: 0.6944, Train Steps/Sec: 0.02, Epoch: 4.819767441860465, LR: 0.001
[2025-04-19 18:59:16] (step=0002730) Train Loss: 0.7707, Train Steps/Sec: 0.03, Epoch: 7.936046511627907, LR: 0.001
[2025-04-19 18:59:45] (step=0002731) Train Loss: 1.1208, Train Steps/Sec: 0.03, Epoch: 7.938953488372093, LR: 0.001
[2025-04-19 19:00:01] (step=0001659) Train Loss: 0.6377, Train Steps/Sec: 0.02, Epoch: 4.8226744186046515, LR: 0.001
[2025-04-19 19:00:15] (step=0002732) Train Loss: 0.8451, Train Steps/Sec: 0.03, Epoch: 7.941860465116279, LR: 0.001
[2025-04-19 19:00:45] (step=0002733) Train Loss: 0.8372, Train Steps/Sec: 0.03, Epoch: 7.944767441860465, LR: 0.001
[2025-04-19 19:00:49] (step=0001660) Train Loss: 0.7215, Train Steps/Sec: 0.02, Epoch: 4.825581395348837, LR: 0.001
[2025-04-19 19:01:14] (step=0002734) Train Loss: 1.0001, Train Steps/Sec: 0.03, Epoch: 7.9476744186046515, LR: 0.001
[2025-04-19 19:01:37] (step=0001661) Train Loss: 0.6863, Train Steps/Sec: 0.02, Epoch: 4.828488372093023, LR: 0.001
[2025-04-19 19:01:44] (step=0002735) Train Loss: 1.0529, Train Steps/Sec: 0.03, Epoch: 7.950581395348837, LR: 0.001
[2025-04-19 19:02:14] (step=0002736) Train Loss: 0.8013, Train Steps/Sec: 0.03, Epoch: 7.953488372093023, LR: 0.001
[2025-04-19 19:02:26] (step=0001662) Train Loss: 0.6538, Train Steps/Sec: 0.02, Epoch: 4.8313953488372094, LR: 0.001
[2025-04-19 19:02:44] (step=0002737) Train Loss: 0.7764, Train Steps/Sec: 0.03, Epoch: 7.9563953488372094, LR: 0.001
[2025-04-19 19:03:13] (step=0002738) Train Loss: 1.0123, Train Steps/Sec: 0.03, Epoch: 7.959302325581396, LR: 0.001
[2025-04-19 19:03:14] (step=0001663) Train Loss: 0.7982, Train Steps/Sec: 0.02, Epoch: 4.834302325581396, LR: 0.001
[2025-04-19 19:03:43] (step=0002739) Train Loss: 1.0759, Train Steps/Sec: 0.03, Epoch: 7.962209302325581, LR: 0.001
[2025-04-19 19:04:02] (step=0001664) Train Loss: 0.4016, Train Steps/Sec: 0.02, Epoch: 4.837209302325581, LR: 0.001
[2025-04-19 19:04:12] (step=0002740) Train Loss: 1.0403, Train Steps/Sec: 0.03, Epoch: 7.965116279069767, LR: 0.001
[2025-04-19 19:04:21] (step=0001665) Train Loss: 0.8588, Train Steps/Sec: 0.05, Epoch: 4.840116279069767, LR: 0.001
[2025-04-19 19:04:42] (step=0002741) Train Loss: 0.7437, Train Steps/Sec: 0.03, Epoch: 7.968023255813954, LR: 0.001
[2025-04-19 19:05:09] (step=0001666) Train Loss: 0.8042, Train Steps/Sec: 0.02, Epoch: 4.843023255813954, LR: 0.001
[2025-04-19 19:05:12] (step=0002742) Train Loss: 0.8593, Train Steps/Sec: 0.03, Epoch: 7.97093023255814, LR: 0.001
[2025-04-19 19:05:42] (step=0002743) Train Loss: 0.7965, Train Steps/Sec: 0.03, Epoch: 7.973837209302325, LR: 0.001
[2025-04-19 19:05:57] (step=0001667) Train Loss: 0.7162, Train Steps/Sec: 0.02, Epoch: 4.84593023255814, LR: 0.001
[2025-04-19 19:06:12] (step=0002744) Train Loss: 0.9360, Train Steps/Sec: 0.03, Epoch: 7.976744186046512, LR: 0.001
[2025-04-19 19:06:41] (step=0002745) Train Loss: 1.0116, Train Steps/Sec: 0.03, Epoch: 7.979651162790698, LR: 0.001
[2025-04-19 19:06:45] (step=0001668) Train Loss: 0.8286, Train Steps/Sec: 0.02, Epoch: 4.848837209302325, LR: 0.001
[2025-04-19 19:07:11] (step=0002746) Train Loss: 0.7648, Train Steps/Sec: 0.03, Epoch: 7.982558139534884, LR: 0.001
[2025-04-19 19:07:34] (step=0001669) Train Loss: 0.5585, Train Steps/Sec: 0.02, Epoch: 4.851744186046512, LR: 0.001
[2025-04-19 19:07:41] (step=0002747) Train Loss: 1.1197, Train Steps/Sec: 0.03, Epoch: 7.9854651162790695, LR: 0.001
[2025-04-19 19:08:10] (step=0002748) Train Loss: 0.8758, Train Steps/Sec: 0.03, Epoch: 7.988372093023256, LR: 0.001
[2025-04-19 19:08:22] (step=0001670) Train Loss: 0.3848, Train Steps/Sec: 0.02, Epoch: 4.854651162790698, LR: 0.001
[2025-04-19 19:08:40] (step=0002749) Train Loss: 0.7025, Train Steps/Sec: 0.03, Epoch: 7.991279069767442, LR: 0.001
[2025-04-19 19:09:10] (step=0002750) Train Loss: 1.3135, Train Steps/Sec: 0.03, Epoch: 7.994186046511628, LR: 0.001
[2025-04-19 19:09:10] (step=0001671) Train Loss: 0.5222, Train Steps/Sec: 0.02, Epoch: 4.857558139534884, LR: 0.001
[2025-04-19 19:09:39] (step=0002751) Train Loss: 0.7151, Train Steps/Sec: 0.03, Epoch: 7.997093023255814, LR: 0.001
[2025-04-19 19:09:59] (step=0001672) Train Loss: 0.4114, Train Steps/Sec: 0.02, Epoch: 4.8604651162790695, LR: 0.001
[2025-04-19 19:10:09] (step=0002752) Train Loss: 0.7928, Train Steps/Sec: 0.03, Epoch: 8.0, LR: 0.001
[2025-04-19 19:10:09] Beginning epoch 8...
[2025-04-19 19:10:47] (step=0001673) Train Loss: 0.7154, Train Steps/Sec: 0.02, Epoch: 4.863372093023256, LR: 0.001
[2025-04-19 19:10:47] (step=0002753) Train Loss: 1.0443, Train Steps/Sec: 0.03, Epoch: 8.002906976744185, LR: 0.001
[2025-04-19 19:11:17] (step=0002754) Train Loss: 0.9405, Train Steps/Sec: 0.03, Epoch: 8.005813953488373, LR: 0.001
[2025-04-19 19:11:35] (step=0001674) Train Loss: 0.5823, Train Steps/Sec: 0.02, Epoch: 4.866279069767442, LR: 0.001
[2025-04-19 19:11:46] (step=0002755) Train Loss: 0.8197, Train Steps/Sec: 0.03, Epoch: 8.008720930232558, LR: 0.001
[2025-04-19 19:12:16] (step=0002756) Train Loss: 1.2124, Train Steps/Sec: 0.03, Epoch: 8.011627906976743, LR: 0.001
[2025-04-19 19:12:24] (step=0001675) Train Loss: 0.7422, Train Steps/Sec: 0.02, Epoch: 4.869186046511628, LR: 0.001
[2025-04-19 19:12:46] (step=0002757) Train Loss: 0.9360, Train Steps/Sec: 0.03, Epoch: 8.01453488372093, LR: 0.001
[2025-04-19 19:13:12] (step=0001676) Train Loss: 0.8545, Train Steps/Sec: 0.02, Epoch: 4.872093023255814, LR: 0.001
[2025-04-19 19:13:16] (step=0002758) Train Loss: 0.8153, Train Steps/Sec: 0.03, Epoch: 8.017441860465116, LR: 0.001
[2025-04-19 19:13:46] (step=0002759) Train Loss: 0.9484, Train Steps/Sec: 0.03, Epoch: 8.020348837209303, LR: 0.001
[2025-04-19 19:14:01] (step=0001677) Train Loss: 0.7787, Train Steps/Sec: 0.02, Epoch: 4.875, LR: 0.001
[2025-04-19 19:14:15] (step=0002760) Train Loss: 0.9433, Train Steps/Sec: 0.03, Epoch: 8.023255813953488, LR: 0.001
[2025-04-19 19:14:45] (step=0002761) Train Loss: 1.1505, Train Steps/Sec: 0.03, Epoch: 8.026162790697674, LR: 0.001
[2025-04-19 19:14:49] (step=0001678) Train Loss: 0.6132, Train Steps/Sec: 0.02, Epoch: 4.877906976744186, LR: 0.001
[2025-04-19 19:15:14] (step=0002762) Train Loss: 0.9673, Train Steps/Sec: 0.03, Epoch: 8.029069767441861, LR: 0.001
[2025-04-19 19:15:37] (step=0001679) Train Loss: 0.8315, Train Steps/Sec: 0.02, Epoch: 4.880813953488372, LR: 0.001
[2025-04-19 19:15:44] (step=0002763) Train Loss: 1.0416, Train Steps/Sec: 0.03, Epoch: 8.031976744186046, LR: 0.001
[2025-04-19 19:16:14] (step=0002764) Train Loss: 0.7167, Train Steps/Sec: 0.03, Epoch: 8.034883720930232, LR: 0.001
[2025-04-19 19:16:25] (step=0001680) Train Loss: 0.7416, Train Steps/Sec: 0.02, Epoch: 4.883720930232558, LR: 0.001
[2025-04-19 19:16:43] (step=0002765) Train Loss: 0.6924, Train Steps/Sec: 0.03, Epoch: 8.037790697674419, LR: 0.001
[2025-04-19 19:17:13] (step=0002766) Train Loss: 1.0630, Train Steps/Sec: 0.03, Epoch: 8.040697674418604, LR: 0.001
[2025-04-19 19:17:13] (step=0001681) Train Loss: 0.7264, Train Steps/Sec: 0.02, Epoch: 4.886627906976744, LR: 0.001
[2025-04-19 19:17:42] (step=0002767) Train Loss: 1.0300, Train Steps/Sec: 0.03, Epoch: 8.043604651162791, LR: 0.001
[2025-04-19 19:18:02] (step=0001682) Train Loss: 0.4948, Train Steps/Sec: 0.02, Epoch: 4.8895348837209305, LR: 0.001
[2025-04-19 19:18:12] (step=0002768) Train Loss: 0.9367, Train Steps/Sec: 0.03, Epoch: 8.046511627906977, LR: 0.001
[2025-04-19 19:18:42] (step=0002769) Train Loss: 1.0543, Train Steps/Sec: 0.03, Epoch: 8.049418604651162, LR: 0.001
[2025-04-19 19:18:50] (step=0001683) Train Loss: 0.6396, Train Steps/Sec: 0.02, Epoch: 4.892441860465116, LR: 0.001
[2025-04-19 19:19:11] (step=0002770) Train Loss: 0.8477, Train Steps/Sec: 0.03, Epoch: 8.05232558139535, LR: 0.001
[2025-04-19 19:19:39] (step=0001684) Train Loss: 0.7537, Train Steps/Sec: 0.02, Epoch: 4.895348837209302, LR: 0.001
[2025-04-19 19:19:41] (step=0002771) Train Loss: 0.9413, Train Steps/Sec: 0.03, Epoch: 8.055232558139535, LR: 0.001
[2025-04-19 19:20:11] (step=0002772) Train Loss: 0.9688, Train Steps/Sec: 0.03, Epoch: 8.05813953488372, LR: 0.001
[2025-04-19 19:20:27] (step=0001685) Train Loss: 0.8475, Train Steps/Sec: 0.02, Epoch: 4.898255813953488, LR: 0.001
[2025-04-19 19:20:40] (step=0002773) Train Loss: 0.8900, Train Steps/Sec: 0.03, Epoch: 8.061046511627907, LR: 0.001
[2025-04-19 19:20:46] (step=0001686) Train Loss: 0.3983, Train Steps/Sec: 0.05, Epoch: 4.901162790697675, LR: 0.001
[2025-04-19 19:21:10] (step=0002774) Train Loss: 0.8462, Train Steps/Sec: 0.03, Epoch: 8.063953488372093, LR: 0.001
[2025-04-19 19:21:34] (step=0001687) Train Loss: 0.7062, Train Steps/Sec: 0.02, Epoch: 4.90406976744186, LR: 0.001
[2025-04-19 19:21:39] (step=0002775) Train Loss: 0.9705, Train Steps/Sec: 0.03, Epoch: 8.06686046511628, LR: 0.001
[2025-04-19 19:22:09] (step=0002776) Train Loss: 0.9533, Train Steps/Sec: 0.03, Epoch: 8.069767441860465, LR: 0.001
[2025-04-19 19:22:22] (step=0001688) Train Loss: 0.5595, Train Steps/Sec: 0.02, Epoch: 4.906976744186046, LR: 0.001
[2025-04-19 19:22:39] (step=0002777) Train Loss: 0.9516, Train Steps/Sec: 0.03, Epoch: 8.07267441860465, LR: 0.001
[2025-04-19 19:23:09] (step=0002778) Train Loss: 1.2189, Train Steps/Sec: 0.03, Epoch: 8.075581395348838, LR: 0.001
[2025-04-19 19:23:10] (step=0001689) Train Loss: 0.6463, Train Steps/Sec: 0.02, Epoch: 4.909883720930233, LR: 0.001
[2025-04-19 19:23:38] (step=0002779) Train Loss: 1.0832, Train Steps/Sec: 0.03, Epoch: 8.078488372093023, LR: 0.001
[2025-04-19 19:23:59] (step=0001690) Train Loss: 0.5607, Train Steps/Sec: 0.02, Epoch: 4.912790697674419, LR: 0.001
[2025-04-19 19:24:08] (step=0002780) Train Loss: 0.8877, Train Steps/Sec: 0.03, Epoch: 8.081395348837209, LR: 0.001
[2025-04-19 19:24:38] (step=0002781) Train Loss: 1.0385, Train Steps/Sec: 0.03, Epoch: 8.084302325581396, LR: 0.001
[2025-04-19 19:24:47] (step=0001691) Train Loss: 0.4637, Train Steps/Sec: 0.02, Epoch: 4.915697674418604, LR: 0.001
[2025-04-19 19:25:08] (step=0002782) Train Loss: 0.9751, Train Steps/Sec: 0.03, Epoch: 8.087209302325581, LR: 0.001
[2025-04-19 19:25:36] (step=0001692) Train Loss: 0.5467, Train Steps/Sec: 0.02, Epoch: 4.9186046511627906, LR: 0.001
[2025-04-19 19:25:37] (step=0002783) Train Loss: 0.6560, Train Steps/Sec: 0.03, Epoch: 8.090116279069768, LR: 0.001
[2025-04-19 19:26:07] (step=0002784) Train Loss: 0.8261, Train Steps/Sec: 0.03, Epoch: 8.093023255813954, LR: 0.001
[2025-04-19 19:26:24] (step=0001693) Train Loss: 0.7357, Train Steps/Sec: 0.02, Epoch: 4.921511627906977, LR: 0.001
[2025-04-19 19:26:37] (step=0002785) Train Loss: 1.0992, Train Steps/Sec: 0.03, Epoch: 8.095930232558139, LR: 0.001
[2025-04-19 19:27:06] (step=0002786) Train Loss: 1.0721, Train Steps/Sec: 0.03, Epoch: 8.098837209302326, LR: 0.001
[2025-04-19 19:27:12] (step=0001694) Train Loss: 0.6974, Train Steps/Sec: 0.02, Epoch: 4.924418604651163, LR: 0.001
[2025-04-19 19:27:36] (step=0002787) Train Loss: 0.6347, Train Steps/Sec: 0.03, Epoch: 8.101744186046512, LR: 0.001
[2025-04-19 19:28:00] (step=0001695) Train Loss: 0.7889, Train Steps/Sec: 0.02, Epoch: 4.9273255813953485, LR: 0.001
[2025-04-19 19:28:06] (step=0002788) Train Loss: 0.9605, Train Steps/Sec: 0.03, Epoch: 8.104651162790697, LR: 0.001
[2025-04-19 19:28:36] (step=0002789) Train Loss: 0.8851, Train Steps/Sec: 0.03, Epoch: 8.107558139534884, LR: 0.001
[2025-04-19 19:28:49] (step=0001696) Train Loss: 0.4384, Train Steps/Sec: 0.02, Epoch: 4.930232558139535, LR: 0.001
[2025-04-19 19:29:06] (step=0002790) Train Loss: 0.9338, Train Steps/Sec: 0.03, Epoch: 8.11046511627907, LR: 0.001
[2025-04-19 19:29:35] (step=0002791) Train Loss: 0.6296, Train Steps/Sec: 0.03, Epoch: 8.113372093023257, LR: 0.001
[2025-04-19 19:29:37] (step=0001697) Train Loss: 0.4503, Train Steps/Sec: 0.02, Epoch: 4.933139534883721, LR: 0.001
[2025-04-19 19:30:05] (step=0002792) Train Loss: 1.0501, Train Steps/Sec: 0.03, Epoch: 8.116279069767442, LR: 0.001
[2025-04-19 19:30:25] (step=0001698) Train Loss: 0.7214, Train Steps/Sec: 0.02, Epoch: 4.936046511627907, LR: 0.001
[2025-04-19 19:30:35] (step=0002793) Train Loss: 1.0598, Train Steps/Sec: 0.03, Epoch: 8.119186046511627, LR: 0.001
[2025-04-19 19:30:44] (step=0002794) Train Loss: 0.8169, Train Steps/Sec: 0.10, Epoch: 8.122093023255815, LR: 0.001
[2025-04-19 19:31:14] (step=0001699) Train Loss: 0.4306, Train Steps/Sec: 0.02, Epoch: 4.938953488372093, LR: 0.001
[2025-04-19 19:31:14] (step=0002795) Train Loss: 0.7063, Train Steps/Sec: 0.03, Epoch: 8.125, LR: 0.001
[2025-04-19 19:31:43] (step=0002796) Train Loss: 0.5684, Train Steps/Sec: 0.03, Epoch: 8.127906976744185, LR: 0.001
[2025-04-19 19:32:02] (step=0001700) Train Loss: 0.7905, Train Steps/Sec: 0.02, Epoch: 4.941860465116279, LR: 0.001
[2025-04-19 19:32:13] (step=0002797) Train Loss: 1.2356, Train Steps/Sec: 0.03, Epoch: 8.130813953488373, LR: 0.001
[2025-04-19 19:32:43] (step=0002798) Train Loss: 1.0739, Train Steps/Sec: 0.03, Epoch: 8.133720930232558, LR: 0.001
[2025-04-19 19:32:50] (step=0001701) Train Loss: 0.5141, Train Steps/Sec: 0.02, Epoch: 4.944767441860465, LR: 0.001
[2025-04-19 19:33:13] (step=0002799) Train Loss: 1.0001, Train Steps/Sec: 0.03, Epoch: 8.136627906976743, LR: 0.001
[2025-04-19 19:33:22] (step=0002800) Train Loss: 0.6996, Train Steps/Sec: 0.10, Epoch: 8.13953488372093, LR: 0.001
[2025-04-19 19:33:36] Saved checkpoint to ./results/sfm_based//checkpoints/0002800/
[2025-04-19 19:33:38] (step=0001702) Train Loss: 0.6882, Train Steps/Sec: 0.02, Epoch: 4.9476744186046515, LR: 0.001
[2025-04-19 19:34:05] (step=0002801) Train Loss: 0.8642, Train Steps/Sec: 0.02, Epoch: 8.142441860465116, LR: 0.001
[2025-04-19 19:34:26] (step=0001703) Train Loss: 0.3928, Train Steps/Sec: 0.02, Epoch: 4.950581395348837, LR: 0.001
[2025-04-19 19:34:35] (step=0002802) Train Loss: 0.6384, Train Steps/Sec: 0.03, Epoch: 8.145348837209303, LR: 0.001
[2025-04-19 19:35:05] (step=0002803) Train Loss: 0.7692, Train Steps/Sec: 0.03, Epoch: 8.148255813953488, LR: 0.001
[2025-04-19 19:35:15] (step=0001704) Train Loss: 0.4474, Train Steps/Sec: 0.02, Epoch: 4.953488372093023, LR: 0.001
[2025-04-19 19:35:35] (step=0002804) Train Loss: 0.9168, Train Steps/Sec: 0.03, Epoch: 8.151162790697674, LR: 0.001
[2025-04-19 19:36:03] (step=0001705) Train Loss: 0.7859, Train Steps/Sec: 0.02, Epoch: 4.9563953488372094, LR: 0.001
[2025-04-19 19:36:05] (step=0002805) Train Loss: 1.1338, Train Steps/Sec: 0.03, Epoch: 8.154069767441861, LR: 0.001
[2025-04-19 19:36:34] (step=0002806) Train Loss: 0.6636, Train Steps/Sec: 0.03, Epoch: 8.156976744186046, LR: 0.001
[2025-04-19 19:36:51] (step=0001706) Train Loss: 0.6751, Train Steps/Sec: 0.02, Epoch: 4.959302325581396, LR: 0.001
[2025-04-19 19:37:04] (step=0002807) Train Loss: 0.6491, Train Steps/Sec: 0.03, Epoch: 8.159883720930232, LR: 0.001
[2025-04-19 19:37:34] (step=0002808) Train Loss: 0.7732, Train Steps/Sec: 0.03, Epoch: 8.162790697674419, LR: 0.001
[2025-04-19 19:37:40] (step=0001707) Train Loss: 0.5823, Train Steps/Sec: 0.02, Epoch: 4.962209302325581, LR: 0.001
[2025-04-19 19:38:04] (step=0002809) Train Loss: 0.6430, Train Steps/Sec: 0.03, Epoch: 8.165697674418604, LR: 0.001
[2025-04-19 19:38:28] (step=0001708) Train Loss: 0.8637, Train Steps/Sec: 0.02, Epoch: 4.965116279069767, LR: 0.001
[2025-04-19 19:38:34] (step=0002810) Train Loss: 1.1677, Train Steps/Sec: 0.03, Epoch: 8.168604651162791, LR: 0.001
[2025-04-19 19:39:03] (step=0002811) Train Loss: 0.7472, Train Steps/Sec: 0.03, Epoch: 8.171511627906977, LR: 0.001
[2025-04-19 19:39:16] (step=0001709) Train Loss: 0.4035, Train Steps/Sec: 0.02, Epoch: 4.968023255813954, LR: 0.001
[2025-04-19 19:39:33] (step=0002812) Train Loss: 0.5888, Train Steps/Sec: 0.03, Epoch: 8.174418604651162, LR: 0.001
[2025-04-19 19:40:03] (step=0002813) Train Loss: 1.0132, Train Steps/Sec: 0.03, Epoch: 8.17732558139535, LR: 0.001
[2025-04-19 19:40:04] (step=0001710) Train Loss: 0.5725, Train Steps/Sec: 0.02, Epoch: 4.97093023255814, LR: 0.001
[2025-04-19 19:40:32] (step=0002814) Train Loss: 0.9611, Train Steps/Sec: 0.03, Epoch: 8.180232558139535, LR: 0.001
[2025-04-19 19:40:53] (step=0001711) Train Loss: 0.6960, Train Steps/Sec: 0.02, Epoch: 4.973837209302325, LR: 0.001
[2025-04-19 19:41:02] (step=0002815) Train Loss: 0.9427, Train Steps/Sec: 0.03, Epoch: 8.18313953488372, LR: 0.001
[2025-04-19 19:41:32] (step=0002816) Train Loss: 0.8113, Train Steps/Sec: 0.03, Epoch: 8.186046511627907, LR: 0.001
[2025-04-19 19:41:41] (step=0001712) Train Loss: 0.8454, Train Steps/Sec: 0.02, Epoch: 4.976744186046512, LR: 0.001
[2025-04-19 19:42:01] (step=0002817) Train Loss: 0.5778, Train Steps/Sec: 0.03, Epoch: 8.188953488372093, LR: 0.001
[2025-04-19 19:42:29] (step=0001713) Train Loss: 0.7685, Train Steps/Sec: 0.02, Epoch: 4.979651162790698, LR: 0.001
[2025-04-19 19:42:31] (step=0002818) Train Loss: 1.1139, Train Steps/Sec: 0.03, Epoch: 8.19186046511628, LR: 0.001
[2025-04-19 19:43:01] (step=0002819) Train Loss: 1.0009, Train Steps/Sec: 0.03, Epoch: 8.194767441860465, LR: 0.001
[2025-04-19 19:43:17] (step=0001714) Train Loss: 0.5654, Train Steps/Sec: 0.02, Epoch: 4.982558139534884, LR: 0.001
[2025-04-19 19:43:31] (step=0002820) Train Loss: 0.9767, Train Steps/Sec: 0.03, Epoch: 8.19767441860465, LR: 0.001
[2025-04-19 19:44:00] (step=0002821) Train Loss: 0.8305, Train Steps/Sec: 0.03, Epoch: 8.200581395348838, LR: 0.001
[2025-04-19 19:44:05] (step=0001715) Train Loss: 0.8034, Train Steps/Sec: 0.02, Epoch: 4.9854651162790695, LR: 0.001
[2025-04-19 19:44:30] (step=0002822) Train Loss: 0.9068, Train Steps/Sec: 0.03, Epoch: 8.203488372093023, LR: 0.001
[2025-04-19 19:44:54] (step=0001716) Train Loss: 0.5475, Train Steps/Sec: 0.02, Epoch: 4.988372093023256, LR: 0.001
[2025-04-19 19:45:00] (step=0002823) Train Loss: 0.7732, Train Steps/Sec: 0.03, Epoch: 8.206395348837209, LR: 0.001
[2025-04-19 19:45:30] (step=0002824) Train Loss: 0.9485, Train Steps/Sec: 0.03, Epoch: 8.209302325581396, LR: 0.001
[2025-04-19 19:45:42] (step=0001717) Train Loss: 0.8663, Train Steps/Sec: 0.02, Epoch: 4.991279069767442, LR: 0.001
[2025-04-19 19:45:59] (step=0002825) Train Loss: 0.7635, Train Steps/Sec: 0.03, Epoch: 8.212209302325581, LR: 0.001
[2025-04-19 19:46:29] (step=0002826) Train Loss: 1.0927, Train Steps/Sec: 0.03, Epoch: 8.215116279069768, LR: 0.001
[2025-04-19 19:46:31] (step=0001718) Train Loss: 0.6914, Train Steps/Sec: 0.02, Epoch: 4.994186046511628, LR: 0.001
[2025-04-19 19:46:58] (step=0002827) Train Loss: 0.6686, Train Steps/Sec: 0.03, Epoch: 8.218023255813954, LR: 0.001
[2025-04-19 19:47:19] (step=0001719) Train Loss: 0.7545, Train Steps/Sec: 0.02, Epoch: 4.997093023255814, LR: 0.001
[2025-04-19 19:47:28] (step=0002828) Train Loss: 0.5793, Train Steps/Sec: 0.03, Epoch: 8.220930232558139, LR: 0.001
[2025-04-19 19:47:58] (step=0002829) Train Loss: 1.1327, Train Steps/Sec: 0.03, Epoch: 8.223837209302326, LR: 0.001
[2025-04-19 19:48:07] (step=0001720) Train Loss: 0.8323, Train Steps/Sec: 0.02, Epoch: 5.0, LR: 0.001
[2025-04-19 19:48:07] Beginning epoch 5...
[2025-04-19 19:48:27] (step=0002830) Train Loss: 0.8826, Train Steps/Sec: 0.03, Epoch: 8.226744186046512, LR: 0.001
[2025-04-19 19:48:57] (step=0002831) Train Loss: 0.9727, Train Steps/Sec: 0.03, Epoch: 8.229651162790697, LR: 0.001
[2025-04-19 19:49:03] (step=0001721) Train Loss: 0.4805, Train Steps/Sec: 0.02, Epoch: 5.002906976744186, LR: 0.001
[2025-04-19 19:49:27] (step=0002832) Train Loss: 0.7425, Train Steps/Sec: 0.03, Epoch: 8.232558139534884, LR: 0.001
[2025-04-19 19:49:52] (step=0001722) Train Loss: 0.7193, Train Steps/Sec: 0.02, Epoch: 5.005813953488372, LR: 0.001
[2025-04-19 19:49:56] (step=0002833) Train Loss: 1.0401, Train Steps/Sec: 0.03, Epoch: 8.23546511627907, LR: 0.001
[2025-04-19 19:50:26] (step=0002834) Train Loss: 1.0332, Train Steps/Sec: 0.03, Epoch: 8.238372093023257, LR: 0.001
[2025-04-19 19:50:40] (step=0001723) Train Loss: 0.5237, Train Steps/Sec: 0.02, Epoch: 5.008720930232558, LR: 0.001
[2025-04-19 19:50:56] (step=0002835) Train Loss: 1.0077, Train Steps/Sec: 0.03, Epoch: 8.241279069767442, LR: 0.001
[2025-04-19 19:51:26] (step=0002836) Train Loss: 0.8019, Train Steps/Sec: 0.03, Epoch: 8.244186046511627, LR: 0.001
[2025-04-19 19:51:29] (step=0001724) Train Loss: 0.5943, Train Steps/Sec: 0.02, Epoch: 5.011627906976744, LR: 0.001
[2025-04-19 19:51:55] (step=0002837) Train Loss: 0.5799, Train Steps/Sec: 0.03, Epoch: 8.247093023255815, LR: 0.001
[2025-04-19 19:52:17] (step=0001725) Train Loss: 0.6826, Train Steps/Sec: 0.02, Epoch: 5.0145348837209305, LR: 0.001
[2025-04-19 19:52:25] (step=0002838) Train Loss: 1.0202, Train Steps/Sec: 0.03, Epoch: 8.25, LR: 0.001
[2025-04-19 19:52:55] (step=0002839) Train Loss: 1.0405, Train Steps/Sec: 0.03, Epoch: 8.252906976744185, LR: 0.001
[2025-04-19 19:53:05] (step=0001726) Train Loss: 0.7667, Train Steps/Sec: 0.02, Epoch: 5.017441860465116, LR: 0.001
[2025-04-19 19:53:24] (step=0002840) Train Loss: 0.8455, Train Steps/Sec: 0.03, Epoch: 8.255813953488373, LR: 0.001
[2025-04-19 19:53:54] (step=0001727) Train Loss: 0.6903, Train Steps/Sec: 0.02, Epoch: 5.020348837209302, LR: 0.001
[2025-04-19 19:53:54] (step=0002841) Train Loss: 0.8530, Train Steps/Sec: 0.03, Epoch: 8.258720930232558, LR: 0.001
[2025-04-19 19:54:24] (step=0002842) Train Loss: 0.7269, Train Steps/Sec: 0.03, Epoch: 8.261627906976743, LR: 0.001
[2025-04-19 19:54:42] (step=0001728) Train Loss: 0.4547, Train Steps/Sec: 0.02, Epoch: 5.023255813953488, LR: 0.001
[2025-04-19 19:54:53] (step=0002843) Train Loss: 0.9920, Train Steps/Sec: 0.03, Epoch: 8.26453488372093, LR: 0.001
[2025-04-19 19:55:22] (step=0002844) Train Loss: 0.6316, Train Steps/Sec: 0.03, Epoch: 8.267441860465116, LR: 0.001
[2025-04-19 19:55:30] (step=0001729) Train Loss: 0.5626, Train Steps/Sec: 0.02, Epoch: 5.026162790697675, LR: 0.001
[2025-04-19 19:55:52] (step=0002845) Train Loss: 0.7682, Train Steps/Sec: 0.03, Epoch: 8.270348837209303, LR: 0.001
[2025-04-19 19:56:02] (step=0002846) Train Loss: 0.8383, Train Steps/Sec: 0.10, Epoch: 8.273255813953488, LR: 0.001
[2025-04-19 19:56:19] (step=0001730) Train Loss: 0.5830, Train Steps/Sec: 0.02, Epoch: 5.02906976744186, LR: 0.001
[2025-04-19 19:56:32] (step=0002847) Train Loss: 0.8448, Train Steps/Sec: 0.03, Epoch: 8.276162790697674, LR: 0.001
[2025-04-19 19:57:02] (step=0002848) Train Loss: 1.0208, Train Steps/Sec: 0.03, Epoch: 8.279069767441861, LR: 0.001
[2025-04-19 19:57:07] (step=0001731) Train Loss: 0.5817, Train Steps/Sec: 0.02, Epoch: 5.031976744186046, LR: 0.001
[2025-04-19 19:57:31] (step=0002849) Train Loss: 0.9501, Train Steps/Sec: 0.03, Epoch: 8.281976744186046, LR: 0.001
[2025-04-19 19:57:55] (step=0001732) Train Loss: 0.7947, Train Steps/Sec: 0.02, Epoch: 5.034883720930233, LR: 0.001
[2025-04-19 19:58:01] (step=0002850) Train Loss: 0.8651, Train Steps/Sec: 0.03, Epoch: 8.284883720930232, LR: 0.001
[2025-04-19 19:58:31] (step=0002851) Train Loss: 0.8925, Train Steps/Sec: 0.03, Epoch: 8.287790697674419, LR: 0.001
[2025-04-19 19:58:44] (step=0001733) Train Loss: 0.7558, Train Steps/Sec: 0.02, Epoch: 5.037790697674419, LR: 0.001
[2025-04-19 19:59:00] (step=0002852) Train Loss: 0.6076, Train Steps/Sec: 0.03, Epoch: 8.290697674418604, LR: 0.001
[2025-04-19 19:59:30] (step=0002853) Train Loss: 0.6058, Train Steps/Sec: 0.03, Epoch: 8.293604651162791, LR: 0.001
[2025-04-19 19:59:32] (step=0001734) Train Loss: 0.5546, Train Steps/Sec: 0.02, Epoch: 5.040697674418604, LR: 0.001
[2025-04-19 20:00:00] (step=0002854) Train Loss: 0.8579, Train Steps/Sec: 0.03, Epoch: 8.296511627906977, LR: 0.001
[2025-04-19 20:00:20] (step=0001735) Train Loss: 0.3780, Train Steps/Sec: 0.02, Epoch: 5.0436046511627906, LR: 0.001
[2025-04-19 20:00:30] (step=0002855) Train Loss: 0.9582, Train Steps/Sec: 0.03, Epoch: 8.299418604651162, LR: 0.001
[2025-04-19 20:00:59] (step=0002856) Train Loss: 0.9182, Train Steps/Sec: 0.03, Epoch: 8.30232558139535, LR: 0.001
[2025-04-19 20:01:08] (step=0001736) Train Loss: 0.4700, Train Steps/Sec: 0.02, Epoch: 5.046511627906977, LR: 0.001
[2025-04-19 20:01:29] (step=0002857) Train Loss: 0.6038, Train Steps/Sec: 0.03, Epoch: 8.305232558139535, LR: 0.001
[2025-04-19 20:01:57] (step=0001737) Train Loss: 0.4151, Train Steps/Sec: 0.02, Epoch: 5.049418604651163, LR: 0.001
[2025-04-19 20:01:59] (step=0002858) Train Loss: 0.9815, Train Steps/Sec: 0.03, Epoch: 8.30813953488372, LR: 0.001
[2025-04-19 20:02:29] (step=0002859) Train Loss: 0.9216, Train Steps/Sec: 0.03, Epoch: 8.311046511627907, LR: 0.001
[2025-04-19 20:02:45] (step=0001738) Train Loss: 0.7123, Train Steps/Sec: 0.02, Epoch: 5.0523255813953485, LR: 0.001
[2025-04-19 20:02:58] (step=0002860) Train Loss: 0.9707, Train Steps/Sec: 0.03, Epoch: 8.313953488372093, LR: 0.001
[2025-04-19 20:03:04] (step=0001739) Train Loss: 0.7555, Train Steps/Sec: 0.05, Epoch: 5.055232558139535, LR: 0.001
[2025-04-19 20:03:28] (step=0002861) Train Loss: 0.8920, Train Steps/Sec: 0.03, Epoch: 8.31686046511628, LR: 0.001
[2025-04-19 20:03:52] (step=0001740) Train Loss: 0.8797, Train Steps/Sec: 0.02, Epoch: 5.058139534883721, LR: 0.001
[2025-04-19 20:03:58] (step=0002862) Train Loss: 0.6175, Train Steps/Sec: 0.03, Epoch: 8.319767441860465, LR: 0.001
[2025-04-19 20:04:27] (step=0002863) Train Loss: 1.0146, Train Steps/Sec: 0.03, Epoch: 8.32267441860465, LR: 0.001
[2025-04-19 20:04:41] (step=0001741) Train Loss: 0.3887, Train Steps/Sec: 0.02, Epoch: 5.061046511627907, LR: 0.001
[2025-04-19 20:04:57] (step=0002864) Train Loss: 0.9635, Train Steps/Sec: 0.03, Epoch: 8.325581395348838, LR: 0.001
[2025-04-19 20:05:27] (step=0002865) Train Loss: 0.5941, Train Steps/Sec: 0.03, Epoch: 8.328488372093023, LR: 0.001
[2025-04-19 20:05:29] (step=0001742) Train Loss: 0.7176, Train Steps/Sec: 0.02, Epoch: 5.063953488372093, LR: 0.001
[2025-04-19 20:05:57] (step=0002866) Train Loss: 0.7446, Train Steps/Sec: 0.03, Epoch: 8.331395348837209, LR: 0.001
[2025-04-19 20:06:17] (step=0001743) Train Loss: 0.8278, Train Steps/Sec: 0.02, Epoch: 5.066860465116279, LR: 0.001
[2025-04-19 20:06:27] (step=0002867) Train Loss: 0.8037, Train Steps/Sec: 0.03, Epoch: 8.334302325581396, LR: 0.001
[2025-04-19 20:06:56] (step=0002868) Train Loss: 0.9249, Train Steps/Sec: 0.03, Epoch: 8.337209302325581, LR: 0.001
[2025-04-19 20:07:05] (step=0001744) Train Loss: 0.5545, Train Steps/Sec: 0.02, Epoch: 5.069767441860465, LR: 0.001
[2025-04-19 20:07:26] (step=0002869) Train Loss: 0.7384, Train Steps/Sec: 0.03, Epoch: 8.340116279069768, LR: 0.001
[2025-04-19 20:07:54] (step=0001745) Train Loss: 0.8071, Train Steps/Sec: 0.02, Epoch: 5.0726744186046515, LR: 0.001
[2025-04-19 20:07:55] (step=0002870) Train Loss: 0.8430, Train Steps/Sec: 0.03, Epoch: 8.343023255813954, LR: 0.001
[2025-04-19 20:08:25] (step=0002871) Train Loss: 0.9406, Train Steps/Sec: 0.03, Epoch: 8.345930232558139, LR: 0.001
[2025-04-19 20:08:42] (step=0001746) Train Loss: 0.5305, Train Steps/Sec: 0.02, Epoch: 5.075581395348837, LR: 0.001
[2025-04-19 20:08:55] (step=0002872) Train Loss: 0.9116, Train Steps/Sec: 0.03, Epoch: 8.348837209302326, LR: 0.001
[2025-04-19 20:09:25] (step=0002873) Train Loss: 0.6755, Train Steps/Sec: 0.03, Epoch: 8.351744186046512, LR: 0.001
[2025-04-19 20:09:31] (step=0001747) Train Loss: 0.6140, Train Steps/Sec: 0.02, Epoch: 5.078488372093023, LR: 0.001
[2025-04-19 20:09:54] (step=0002874) Train Loss: 0.8939, Train Steps/Sec: 0.03, Epoch: 8.354651162790697, LR: 0.001
[2025-04-19 20:10:19] (step=0001748) Train Loss: 0.4689, Train Steps/Sec: 0.02, Epoch: 5.0813953488372094, LR: 0.001
[2025-04-19 20:10:24] (step=0002875) Train Loss: 0.8449, Train Steps/Sec: 0.03, Epoch: 8.357558139534884, LR: 0.001
[2025-04-19 20:10:54] (step=0002876) Train Loss: 0.9139, Train Steps/Sec: 0.03, Epoch: 8.36046511627907, LR: 0.001
[2025-04-19 20:11:07] (step=0001749) Train Loss: 0.7964, Train Steps/Sec: 0.02, Epoch: 5.084302325581396, LR: 0.001
[2025-04-19 20:11:23] (step=0002877) Train Loss: 0.4929, Train Steps/Sec: 0.03, Epoch: 8.363372093023257, LR: 0.001
[2025-04-19 20:11:53] (step=0002878) Train Loss: 0.8878, Train Steps/Sec: 0.03, Epoch: 8.366279069767442, LR: 0.001
[2025-04-19 20:11:55] (step=0001750) Train Loss: 0.7282, Train Steps/Sec: 0.02, Epoch: 5.087209302325581, LR: 0.001
[2025-04-19 20:12:23] (step=0002879) Train Loss: 0.9804, Train Steps/Sec: 0.03, Epoch: 8.369186046511627, LR: 0.001
[2025-04-19 20:12:43] (step=0001751) Train Loss: 0.8467, Train Steps/Sec: 0.02, Epoch: 5.090116279069767, LR: 0.001
[2025-04-19 20:12:52] (step=0002880) Train Loss: 0.8284, Train Steps/Sec: 0.03, Epoch: 8.372093023255815, LR: 0.001
[2025-04-19 20:13:22] (step=0002881) Train Loss: 0.9568, Train Steps/Sec: 0.03, Epoch: 8.375, LR: 0.001
[2025-04-19 20:13:32] (step=0001752) Train Loss: 0.7704, Train Steps/Sec: 0.02, Epoch: 5.093023255813954, LR: 0.001
[2025-04-19 20:13:52] (step=0002882) Train Loss: 0.9541, Train Steps/Sec: 0.03, Epoch: 8.377906976744185, LR: 0.001
[2025-04-19 20:14:20] (step=0001753) Train Loss: 0.5973, Train Steps/Sec: 0.02, Epoch: 5.09593023255814, LR: 0.001
[2025-04-19 20:14:22] (step=0002883) Train Loss: 0.6521, Train Steps/Sec: 0.03, Epoch: 8.380813953488373, LR: 0.001
[2025-04-19 20:14:51] (step=0002884) Train Loss: 0.7160, Train Steps/Sec: 0.03, Epoch: 8.383720930232558, LR: 0.001
[2025-04-19 20:15:08] (step=0001754) Train Loss: 0.8214, Train Steps/Sec: 0.02, Epoch: 5.098837209302325, LR: 0.001
[2025-04-19 20:15:21] (step=0002885) Train Loss: 0.9270, Train Steps/Sec: 0.03, Epoch: 8.386627906976743, LR: 0.001
[2025-04-19 20:15:51] (step=0002886) Train Loss: 0.6596, Train Steps/Sec: 0.03, Epoch: 8.38953488372093, LR: 0.001
[2025-04-19 20:15:57] (step=0001755) Train Loss: 0.4727, Train Steps/Sec: 0.02, Epoch: 5.101744186046512, LR: 0.001
[2025-04-19 20:16:21] (step=0002887) Train Loss: 0.6470, Train Steps/Sec: 0.03, Epoch: 8.392441860465116, LR: 0.001
[2025-04-19 20:16:45] (step=0001756) Train Loss: 0.6575, Train Steps/Sec: 0.02, Epoch: 5.104651162790698, LR: 0.001
[2025-04-19 20:16:51] (step=0002888) Train Loss: 0.8534, Train Steps/Sec: 0.03, Epoch: 8.395348837209303, LR: 0.001
[2025-04-19 20:17:21] (step=0002889) Train Loss: 0.4998, Train Steps/Sec: 0.03, Epoch: 8.398255813953488, LR: 0.001
[2025-04-19 20:17:33] (step=0001757) Train Loss: 0.4147, Train Steps/Sec: 0.02, Epoch: 5.107558139534884, LR: 0.001
[2025-04-19 20:17:50] (step=0002890) Train Loss: 0.9670, Train Steps/Sec: 0.03, Epoch: 8.401162790697674, LR: 0.001
[2025-04-19 20:18:20] (step=0002891) Train Loss: 0.9916, Train Steps/Sec: 0.03, Epoch: 8.404069767441861, LR: 0.001
[2025-04-19 20:18:22] (step=0001758) Train Loss: 0.5530, Train Steps/Sec: 0.02, Epoch: 5.1104651162790695, LR: 0.001
[2025-04-19 20:18:50] (step=0002892) Train Loss: 0.5140, Train Steps/Sec: 0.03, Epoch: 8.406976744186046, LR: 0.001
[2025-04-19 20:19:10] (step=0001759) Train Loss: 0.7862, Train Steps/Sec: 0.02, Epoch: 5.113372093023256, LR: 0.001
[2025-04-19 20:19:20] (step=0002893) Train Loss: 0.9421, Train Steps/Sec: 0.03, Epoch: 8.409883720930232, LR: 0.001
[2025-04-19 20:19:49] (step=0002894) Train Loss: 0.5737, Train Steps/Sec: 0.03, Epoch: 8.412790697674419, LR: 0.001
[2025-04-19 20:19:58] (step=0001760) Train Loss: 0.5543, Train Steps/Sec: 0.02, Epoch: 5.116279069767442, LR: 0.001
[2025-04-19 20:20:19] (step=0002895) Train Loss: 0.5044, Train Steps/Sec: 0.03, Epoch: 8.415697674418604, LR: 0.001
[2025-04-19 20:20:47] (step=0001761) Train Loss: 0.7458, Train Steps/Sec: 0.02, Epoch: 5.119186046511628, LR: 0.001
[2025-04-19 20:20:49] (step=0002896) Train Loss: 0.9302, Train Steps/Sec: 0.03, Epoch: 8.418604651162791, LR: 0.001
[2025-04-19 20:21:19] (step=0002897) Train Loss: 0.8515, Train Steps/Sec: 0.03, Epoch: 8.421511627906977, LR: 0.001
[2025-04-19 20:21:35] (step=0001762) Train Loss: 0.8221, Train Steps/Sec: 0.02, Epoch: 5.122093023255814, LR: 0.001
[2025-04-19 20:21:48] (step=0002898) Train Loss: 0.5562, Train Steps/Sec: 0.03, Epoch: 8.424418604651162, LR: 0.001
[2025-04-19 20:22:18] (step=0002899) Train Loss: 0.9774, Train Steps/Sec: 0.03, Epoch: 8.42732558139535, LR: 0.001
[2025-04-19 20:22:23] (step=0001763) Train Loss: 0.7803, Train Steps/Sec: 0.02, Epoch: 5.125, LR: 0.001
[2025-04-19 20:22:42] (step=0001764) Train Loss: 0.8758, Train Steps/Sec: 0.05, Epoch: 5.127906976744186, LR: 0.001
[2025-04-19 20:22:47] (step=0002900) Train Loss: 0.5696, Train Steps/Sec: 0.03, Epoch: 8.430232558139535, LR: 0.001
[2025-04-19 20:23:17] (step=0002901) Train Loss: 0.5371, Train Steps/Sec: 0.03, Epoch: 8.43313953488372, LR: 0.001
[2025-04-19 20:23:30] (step=0001765) Train Loss: 0.5542, Train Steps/Sec: 0.02, Epoch: 5.130813953488372, LR: 0.001
[2025-04-19 20:23:47] (step=0002902) Train Loss: 0.9954, Train Steps/Sec: 0.03, Epoch: 8.436046511627907, LR: 0.001
[2025-04-19 20:24:17] (step=0002903) Train Loss: 0.5461, Train Steps/Sec: 0.03, Epoch: 8.438953488372093, LR: 0.001
[2025-04-19 20:24:19] (step=0001766) Train Loss: 0.4358, Train Steps/Sec: 0.02, Epoch: 5.133720930232558, LR: 0.001
[2025-04-19 20:24:46] (step=0002904) Train Loss: 0.7820, Train Steps/Sec: 0.03, Epoch: 8.44186046511628, LR: 0.001
[2025-04-19 20:25:07] (step=0001767) Train Loss: 0.5324, Train Steps/Sec: 0.02, Epoch: 5.136627906976744, LR: 0.001
[2025-04-19 20:25:16] (step=0002905) Train Loss: 0.9557, Train Steps/Sec: 0.03, Epoch: 8.444767441860465, LR: 0.001
[2025-04-19 20:25:46] (step=0002906) Train Loss: 0.9710, Train Steps/Sec: 0.03, Epoch: 8.44767441860465, LR: 0.001
[2025-04-19 20:25:55] (step=0001768) Train Loss: 0.8108, Train Steps/Sec: 0.02, Epoch: 5.1395348837209305, LR: 0.001
[2025-04-19 20:26:14] (step=0001769) Train Loss: 0.8320, Train Steps/Sec: 0.05, Epoch: 5.142441860465116, LR: 0.001
[2025-04-19 20:26:16] (step=0002907) Train Loss: 0.8531, Train Steps/Sec: 0.03, Epoch: 8.450581395348838, LR: 0.001
[2025-04-19 20:26:45] (step=0002908) Train Loss: 0.8832, Train Steps/Sec: 0.03, Epoch: 8.453488372093023, LR: 0.001
[2025-04-19 20:27:02] (step=0001770) Train Loss: 0.6990, Train Steps/Sec: 0.02, Epoch: 5.145348837209302, LR: 0.001
[2025-04-19 20:27:15] (step=0002909) Train Loss: 0.9166, Train Steps/Sec: 0.03, Epoch: 8.456395348837209, LR: 0.001
[2025-04-19 20:27:45] (step=0002910) Train Loss: 0.8017, Train Steps/Sec: 0.03, Epoch: 8.459302325581396, LR: 0.001
[2025-04-19 20:27:51] (step=0001771) Train Loss: 0.4404, Train Steps/Sec: 0.02, Epoch: 5.148255813953488, LR: 0.001
[2025-04-19 20:28:15] (step=0002911) Train Loss: 0.9491, Train Steps/Sec: 0.03, Epoch: 8.462209302325581, LR: 0.001
[2025-04-19 20:28:39] (step=0001772) Train Loss: 0.4817, Train Steps/Sec: 0.02, Epoch: 5.151162790697675, LR: 0.001
[2025-04-19 20:28:44] (step=0002912) Train Loss: 0.6151, Train Steps/Sec: 0.03, Epoch: 8.465116279069768, LR: 0.001
[2025-04-19 20:29:14] (step=0002913) Train Loss: 0.9225, Train Steps/Sec: 0.03, Epoch: 8.468023255813954, LR: 0.001
[2025-04-19 20:29:27] (step=0001773) Train Loss: 0.5358, Train Steps/Sec: 0.02, Epoch: 5.15406976744186, LR: 0.001
[2025-04-19 20:29:44] (step=0002914) Train Loss: 0.9640, Train Steps/Sec: 0.03, Epoch: 8.470930232558139, LR: 0.001
[2025-04-19 20:30:14] (step=0002915) Train Loss: 0.6617, Train Steps/Sec: 0.03, Epoch: 8.473837209302326, LR: 0.001
[2025-04-19 20:30:15] (step=0001774) Train Loss: 0.4313, Train Steps/Sec: 0.02, Epoch: 5.156976744186046, LR: 0.001
[2025-04-19 20:30:44] (step=0002916) Train Loss: 0.7958, Train Steps/Sec: 0.03, Epoch: 8.476744186046512, LR: 0.001
[2025-04-19 20:31:04] (step=0001775) Train Loss: 0.3954, Train Steps/Sec: 0.02, Epoch: 5.159883720930233, LR: 0.001
[2025-04-19 20:31:13] (step=0002917) Train Loss: 1.0651, Train Steps/Sec: 0.03, Epoch: 8.479651162790697, LR: 0.001
[2025-04-19 20:31:43] (step=0002918) Train Loss: 0.8158, Train Steps/Sec: 0.03, Epoch: 8.482558139534884, LR: 0.001
[2025-04-19 20:31:52] (step=0001776) Train Loss: 0.4307, Train Steps/Sec: 0.02, Epoch: 5.162790697674419, LR: 0.001
[2025-04-19 20:32:13] (step=0002919) Train Loss: 0.6367, Train Steps/Sec: 0.03, Epoch: 8.48546511627907, LR: 0.001
[2025-04-19 20:32:41] (step=0001777) Train Loss: 0.8627, Train Steps/Sec: 0.02, Epoch: 5.165697674418604, LR: 0.001
[2025-04-19 20:32:43] (step=0002920) Train Loss: 0.6349, Train Steps/Sec: 0.03, Epoch: 8.488372093023257, LR: 0.001
[2025-04-19 20:33:12] (step=0002921) Train Loss: 0.5136, Train Steps/Sec: 0.03, Epoch: 8.491279069767442, LR: 0.001
[2025-04-19 20:33:29] (step=0001778) Train Loss: 0.5654, Train Steps/Sec: 0.02, Epoch: 5.1686046511627906, LR: 0.001
[2025-04-19 20:33:42] (step=0002922) Train Loss: 0.8546, Train Steps/Sec: 0.03, Epoch: 8.494186046511627, LR: 0.001
[2025-04-19 20:34:12] (step=0002923) Train Loss: 0.7860, Train Steps/Sec: 0.03, Epoch: 8.497093023255815, LR: 0.001
[2025-04-19 20:34:18] (step=0001779) Train Loss: 0.7432, Train Steps/Sec: 0.02, Epoch: 5.171511627906977, LR: 0.001
[2025-04-19 20:34:41] (step=0002924) Train Loss: 0.7707, Train Steps/Sec: 0.03, Epoch: 8.5, LR: 0.001
[2025-04-19 20:35:06] (step=0001780) Train Loss: 0.1604, Train Steps/Sec: 0.02, Epoch: 5.174418604651163, LR: 0.001
[2025-04-19 20:35:11] (step=0002925) Train Loss: 0.7254, Train Steps/Sec: 0.03, Epoch: 8.502906976744185, LR: 0.001
[2025-04-19 20:35:41] (step=0002926) Train Loss: 0.8018, Train Steps/Sec: 0.03, Epoch: 8.505813953488373, LR: 0.001
[2025-04-19 20:35:54] (step=0001781) Train Loss: 0.7378, Train Steps/Sec: 0.02, Epoch: 5.1773255813953485, LR: 0.001
[2025-04-19 20:36:10] (step=0002927) Train Loss: 0.5642, Train Steps/Sec: 0.03, Epoch: 8.508720930232558, LR: 0.001
[2025-04-19 20:36:40] (step=0002928) Train Loss: 0.8404, Train Steps/Sec: 0.03, Epoch: 8.511627906976743, LR: 0.001
[2025-04-19 20:36:42] (step=0001782) Train Loss: 0.6255, Train Steps/Sec: 0.02, Epoch: 5.180232558139535, LR: 0.001
[2025-04-19 20:37:10] (step=0002929) Train Loss: 0.8669, Train Steps/Sec: 0.03, Epoch: 8.51453488372093, LR: 0.001
[2025-04-19 20:37:31] (step=0001783) Train Loss: 0.4286, Train Steps/Sec: 0.02, Epoch: 5.183139534883721, LR: 0.001
[2025-04-19 20:37:40] (step=0002930) Train Loss: 0.7866, Train Steps/Sec: 0.03, Epoch: 8.517441860465116, LR: 0.001
[2025-04-19 20:38:09] (step=0002931) Train Loss: 0.6727, Train Steps/Sec: 0.03, Epoch: 8.520348837209303, LR: 0.001
[2025-04-19 20:38:19] (step=0001784) Train Loss: 0.6228, Train Steps/Sec: 0.02, Epoch: 5.186046511627907, LR: 0.001
[2025-04-19 20:38:39] (step=0002932) Train Loss: 0.9316, Train Steps/Sec: 0.03, Epoch: 8.523255813953488, LR: 0.001
[2025-04-19 20:39:08] (step=0001785) Train Loss: 0.6681, Train Steps/Sec: 0.02, Epoch: 5.188953488372093, LR: 0.001
[2025-04-19 20:39:09] (step=0002933) Train Loss: 0.5029, Train Steps/Sec: 0.03, Epoch: 8.526162790697674, LR: 0.001
[2025-04-19 20:39:38] (step=0002934) Train Loss: 0.9700, Train Steps/Sec: 0.03, Epoch: 8.529069767441861, LR: 0.001
[2025-04-19 20:39:56] (step=0001786) Train Loss: 0.8399, Train Steps/Sec: 0.02, Epoch: 5.191860465116279, LR: 0.001
[2025-04-19 20:40:08] (step=0002935) Train Loss: 0.9305, Train Steps/Sec: 0.03, Epoch: 8.531976744186046, LR: 0.001
[2025-04-19 20:40:38] (step=0002936) Train Loss: 0.6717, Train Steps/Sec: 0.03, Epoch: 8.534883720930232, LR: 0.001
[2025-04-19 20:40:44] (step=0001787) Train Loss: 0.4265, Train Steps/Sec: 0.02, Epoch: 5.194767441860465, LR: 0.001
[2025-04-19 20:41:08] (step=0002937) Train Loss: 0.9021, Train Steps/Sec: 0.03, Epoch: 8.537790697674419, LR: 0.001
[2025-04-19 20:41:33] (step=0001788) Train Loss: 0.4768, Train Steps/Sec: 0.02, Epoch: 5.1976744186046515, LR: 0.001
[2025-04-19 20:41:37] (step=0002938) Train Loss: 0.8871, Train Steps/Sec: 0.03, Epoch: 8.540697674418604, LR: 0.001
[2025-04-19 20:42:07] (step=0002939) Train Loss: 0.7205, Train Steps/Sec: 0.03, Epoch: 8.543604651162791, LR: 0.001
[2025-04-19 20:42:21] (step=0001789) Train Loss: 0.7532, Train Steps/Sec: 0.02, Epoch: 5.200581395348837, LR: 0.001
[2025-04-19 20:42:36] (step=0002940) Train Loss: 0.6638, Train Steps/Sec: 0.03, Epoch: 8.546511627906977, LR: 0.001
[2025-04-19 20:43:06] (step=0002941) Train Loss: 0.5733, Train Steps/Sec: 0.03, Epoch: 8.549418604651162, LR: 0.001
[2025-04-19 20:43:09] (step=0001790) Train Loss: 0.8481, Train Steps/Sec: 0.02, Epoch: 5.203488372093023, LR: 0.001
[2025-04-19 20:43:36] (step=0002942) Train Loss: 0.7828, Train Steps/Sec: 0.03, Epoch: 8.55232558139535, LR: 0.001
[2025-04-19 20:43:57] (step=0001791) Train Loss: 0.8081, Train Steps/Sec: 0.02, Epoch: 5.2063953488372094, LR: 0.001
[2025-04-19 20:44:06] (step=0002943) Train Loss: 0.8815, Train Steps/Sec: 0.03, Epoch: 8.555232558139535, LR: 0.001
[2025-04-19 20:44:36] (step=0002944) Train Loss: 0.5910, Train Steps/Sec: 0.03, Epoch: 8.55813953488372, LR: 0.001
[2025-04-19 20:44:46] (step=0001792) Train Loss: 0.5169, Train Steps/Sec: 0.02, Epoch: 5.209302325581396, LR: 0.001
[2025-04-19 20:45:05] (step=0002945) Train Loss: 0.9264, Train Steps/Sec: 0.03, Epoch: 8.561046511627907, LR: 0.001
[2025-04-19 20:45:34] (step=0001793) Train Loss: 0.4355, Train Steps/Sec: 0.02, Epoch: 5.212209302325581, LR: 0.001
[2025-04-19 20:45:35] (step=0002946) Train Loss: 0.9030, Train Steps/Sec: 0.03, Epoch: 8.563953488372093, LR: 0.001
[2025-04-19 20:46:05] (step=0002947) Train Loss: 0.8285, Train Steps/Sec: 0.03, Epoch: 8.56686046511628, LR: 0.001
[2025-04-19 20:46:22] (step=0001794) Train Loss: 0.5931, Train Steps/Sec: 0.02, Epoch: 5.215116279069767, LR: 0.001
[2025-04-19 20:46:35] (step=0002948) Train Loss: 0.9505, Train Steps/Sec: 0.03, Epoch: 8.569767441860465, LR: 0.001
[2025-04-19 20:47:04] (step=0002949) Train Loss: 0.5004, Train Steps/Sec: 0.03, Epoch: 8.57267441860465, LR: 0.001
[2025-04-19 20:47:10] (step=0001795) Train Loss: 0.5024, Train Steps/Sec: 0.02, Epoch: 5.218023255813954, LR: 0.001
[2025-04-19 20:47:34] (step=0002950) Train Loss: 0.9097, Train Steps/Sec: 0.03, Epoch: 8.575581395348838, LR: 0.001
[2025-04-19 20:47:59] (step=0001796) Train Loss: 0.5594, Train Steps/Sec: 0.02, Epoch: 5.22093023255814, LR: 0.001
[2025-04-19 20:48:03] (step=0002951) Train Loss: 0.5587, Train Steps/Sec: 0.03, Epoch: 8.578488372093023, LR: 0.001
[2025-04-19 20:48:33] (step=0002952) Train Loss: 0.8229, Train Steps/Sec: 0.03, Epoch: 8.581395348837209, LR: 0.001
[2025-04-19 20:48:47] (step=0001797) Train Loss: 0.4458, Train Steps/Sec: 0.02, Epoch: 5.223837209302325, LR: 0.001
[2025-04-19 20:49:03] (step=0002953) Train Loss: 0.8881, Train Steps/Sec: 0.03, Epoch: 8.584302325581396, LR: 0.001
[2025-04-19 20:49:32] (step=0002954) Train Loss: 0.6269, Train Steps/Sec: 0.03, Epoch: 8.587209302325581, LR: 0.001
[2025-04-19 20:49:35] (step=0001798) Train Loss: 0.7878, Train Steps/Sec: 0.02, Epoch: 5.226744186046512, LR: 0.001
[2025-04-19 20:50:02] (step=0002955) Train Loss: 0.8707, Train Steps/Sec: 0.03, Epoch: 8.590116279069768, LR: 0.001
[2025-04-19 20:50:23] (step=0001799) Train Loss: 0.8480, Train Steps/Sec: 0.02, Epoch: 5.229651162790698, LR: 0.001
[2025-04-19 20:50:32] (step=0002956) Train Loss: 0.9273, Train Steps/Sec: 0.03, Epoch: 8.593023255813954, LR: 0.001
[2025-04-19 20:51:02] (step=0002957) Train Loss: 0.4717, Train Steps/Sec: 0.03, Epoch: 8.595930232558139, LR: 0.001
[2025-04-19 20:51:12] (step=0001800) Train Loss: 0.8471, Train Steps/Sec: 0.02, Epoch: 5.232558139534884, LR: 0.001
[2025-04-19 20:51:26] Saved checkpoint to ./results/sfm_based//checkpoints/0001800/
[2025-04-19 20:51:31] (step=0002958) Train Loss: 0.4832, Train Steps/Sec: 0.03, Epoch: 8.598837209302326, LR: 0.001
[2025-04-19 20:52:01] (step=0002959) Train Loss: 0.7333, Train Steps/Sec: 0.03, Epoch: 8.601744186046512, LR: 0.001
[2025-04-19 20:52:13] (step=0001801) Train Loss: 0.5505, Train Steps/Sec: 0.02, Epoch: 5.2354651162790695, LR: 0.001
[2025-04-19 20:52:31] (step=0002960) Train Loss: 0.5430, Train Steps/Sec: 0.03, Epoch: 8.604651162790697, LR: 0.001
[2025-04-19 20:53:00] (step=0002961) Train Loss: 0.6601, Train Steps/Sec: 0.03, Epoch: 8.607558139534884, LR: 0.001
[2025-04-19 20:53:02] (step=0001802) Train Loss: 0.5398, Train Steps/Sec: 0.02, Epoch: 5.238372093023256, LR: 0.001
[2025-04-19 20:53:30] (step=0002962) Train Loss: 0.8755, Train Steps/Sec: 0.03, Epoch: 8.61046511627907, LR: 0.001
[2025-04-19 20:53:50] (step=0001803) Train Loss: 0.5178, Train Steps/Sec: 0.02, Epoch: 5.241279069767442, LR: 0.001
[2025-04-19 20:53:59] (step=0002963) Train Loss: 0.5480, Train Steps/Sec: 0.03, Epoch: 8.613372093023257, LR: 0.001
[2025-04-19 20:54:29] (step=0002964) Train Loss: 0.7122, Train Steps/Sec: 0.03, Epoch: 8.616279069767442, LR: 0.001
[2025-04-19 20:54:38] (step=0001804) Train Loss: 0.6816, Train Steps/Sec: 0.02, Epoch: 5.244186046511628, LR: 0.001
[2025-04-19 20:54:59] (step=0002965) Train Loss: 0.7129, Train Steps/Sec: 0.03, Epoch: 8.619186046511627, LR: 0.001
[2025-04-19 20:55:27] (step=0001805) Train Loss: 0.8285, Train Steps/Sec: 0.02, Epoch: 5.247093023255814, LR: 0.001
[2025-04-19 20:55:29] (step=0002966) Train Loss: 0.8723, Train Steps/Sec: 0.03, Epoch: 8.622093023255815, LR: 0.001
[2025-04-19 20:55:58] (step=0002967) Train Loss: 0.6387, Train Steps/Sec: 0.03, Epoch: 8.625, LR: 0.001
[2025-04-19 20:56:15] (step=0001806) Train Loss: 0.8524, Train Steps/Sec: 0.02, Epoch: 5.25, LR: 0.001
[2025-04-19 20:56:28] (step=0002968) Train Loss: 0.7526, Train Steps/Sec: 0.03, Epoch: 8.627906976744185, LR: 0.001
[2025-04-19 20:56:58] (step=0002969) Train Loss: 0.8678, Train Steps/Sec: 0.03, Epoch: 8.630813953488373, LR: 0.001
[2025-04-19 20:57:03] (step=0001807) Train Loss: 0.7785, Train Steps/Sec: 0.02, Epoch: 5.252906976744186, LR: 0.001
[2025-04-19 20:57:27] (step=0002970) Train Loss: 0.6212, Train Steps/Sec: 0.03, Epoch: 8.633720930232558, LR: 0.001
[2025-04-19 20:57:52] (step=0001808) Train Loss: 0.7463, Train Steps/Sec: 0.02, Epoch: 5.255813953488372, LR: 0.001
[2025-04-19 20:57:57] (step=0002971) Train Loss: 0.9476, Train Steps/Sec: 0.03, Epoch: 8.636627906976743, LR: 0.001
[2025-04-19 20:58:27] (step=0002972) Train Loss: 0.4817, Train Steps/Sec: 0.03, Epoch: 8.63953488372093, LR: 0.001
[2025-04-19 20:58:40] (step=0001809) Train Loss: 0.4452, Train Steps/Sec: 0.02, Epoch: 5.258720930232558, LR: 0.001
[2025-04-19 20:58:56] (step=0002973) Train Loss: 0.7539, Train Steps/Sec: 0.03, Epoch: 8.642441860465116, LR: 0.001
[2025-04-19 20:59:26] (step=0002974) Train Loss: 0.9149, Train Steps/Sec: 0.03, Epoch: 8.645348837209303, LR: 0.001
[2025-04-19 20:59:28] (step=0001810) Train Loss: 0.5057, Train Steps/Sec: 0.02, Epoch: 5.261627906976744, LR: 0.001
[2025-04-19 20:59:56] (step=0002975) Train Loss: 0.6482, Train Steps/Sec: 0.03, Epoch: 8.648255813953488, LR: 0.001
[2025-04-19 21:00:16] (step=0001811) Train Loss: 0.7805, Train Steps/Sec: 0.02, Epoch: 5.2645348837209305, LR: 0.001
[2025-04-19 21:00:25] (step=0002976) Train Loss: 0.7007, Train Steps/Sec: 0.03, Epoch: 8.651162790697674, LR: 0.001
[2025-04-19 21:00:55] (step=0002977) Train Loss: 0.7484, Train Steps/Sec: 0.03, Epoch: 8.654069767441861, LR: 0.001
[2025-04-19 21:01:04] (step=0001812) Train Loss: 0.8092, Train Steps/Sec: 0.02, Epoch: 5.267441860465116, LR: 0.001
[2025-04-19 21:01:25] (step=0002978) Train Loss: 0.7907, Train Steps/Sec: 0.03, Epoch: 8.656976744186046, LR: 0.001
[2025-04-19 21:01:52] (step=0001813) Train Loss: 0.5474, Train Steps/Sec: 0.02, Epoch: 5.270348837209302, LR: 0.001
[2025-04-19 21:01:54] (step=0002979) Train Loss: 0.8261, Train Steps/Sec: 0.03, Epoch: 8.659883720930232, LR: 0.001
[2025-04-19 21:02:24] (step=0002980) Train Loss: 0.7729, Train Steps/Sec: 0.03, Epoch: 8.662790697674419, LR: 0.001
[2025-04-19 21:02:41] (step=0001814) Train Loss: 0.4267, Train Steps/Sec: 0.02, Epoch: 5.273255813953488, LR: 0.001
[2025-04-19 21:02:54] (step=0002981) Train Loss: 0.8954, Train Steps/Sec: 0.03, Epoch: 8.665697674418604, LR: 0.001
[2025-04-19 21:03:23] (step=0002982) Train Loss: 0.7433, Train Steps/Sec: 0.03, Epoch: 8.668604651162791, LR: 0.001
[2025-04-19 21:03:29] (step=0001815) Train Loss: 0.8045, Train Steps/Sec: 0.02, Epoch: 5.276162790697675, LR: 0.001
[2025-04-19 21:03:53] (step=0002983) Train Loss: 0.7653, Train Steps/Sec: 0.03, Epoch: 8.671511627906977, LR: 0.001
[2025-04-19 21:04:18] (step=0001816) Train Loss: 0.8064, Train Steps/Sec: 0.02, Epoch: 5.27906976744186, LR: 0.001
[2025-04-19 21:04:23] (step=0002984) Train Loss: 0.6111, Train Steps/Sec: 0.03, Epoch: 8.674418604651162, LR: 0.001
[2025-04-19 21:04:52] (step=0002985) Train Loss: 0.8579, Train Steps/Sec: 0.03, Epoch: 8.67732558139535, LR: 0.001
[2025-04-19 21:05:06] (step=0001817) Train Loss: 0.4707, Train Steps/Sec: 0.02, Epoch: 5.281976744186046, LR: 0.001
[2025-04-19 21:05:22] (step=0002986) Train Loss: 0.7054, Train Steps/Sec: 0.03, Epoch: 8.680232558139535, LR: 0.001
[2025-04-19 21:05:52] (step=0002987) Train Loss: 0.5549, Train Steps/Sec: 0.03, Epoch: 8.68313953488372, LR: 0.001
[2025-04-19 21:05:54] (step=0001818) Train Loss: 0.8609, Train Steps/Sec: 0.02, Epoch: 5.284883720930233, LR: 0.001
[2025-04-19 21:06:22] (step=0002988) Train Loss: 0.8449, Train Steps/Sec: 0.03, Epoch: 8.686046511627907, LR: 0.001
[2025-04-19 21:06:42] (step=0001819) Train Loss: 0.4068, Train Steps/Sec: 0.02, Epoch: 5.287790697674419, LR: 0.001
[2025-04-19 21:06:51] (step=0002989) Train Loss: 0.7871, Train Steps/Sec: 0.03, Epoch: 8.688953488372093, LR: 0.001
[2025-04-19 21:07:21] (step=0002990) Train Loss: 0.7987, Train Steps/Sec: 0.03, Epoch: 8.69186046511628, LR: 0.001
[2025-04-19 21:07:31] (step=0001820) Train Loss: 0.3961, Train Steps/Sec: 0.02, Epoch: 5.290697674418604, LR: 0.001
[2025-04-19 21:07:51] (step=0002991) Train Loss: 0.7817, Train Steps/Sec: 0.03, Epoch: 8.694767441860465, LR: 0.001
[2025-04-19 21:08:19] (step=0001821) Train Loss: 0.6440, Train Steps/Sec: 0.02, Epoch: 5.2936046511627906, LR: 0.001
[2025-04-19 21:08:20] (step=0002992) Train Loss: 0.7080, Train Steps/Sec: 0.03, Epoch: 8.69767441860465, LR: 0.001
[2025-04-19 21:08:50] (step=0002993) Train Loss: 0.8869, Train Steps/Sec: 0.03, Epoch: 8.700581395348838, LR: 0.001
[2025-04-19 21:09:07] (step=0001822) Train Loss: 0.7579, Train Steps/Sec: 0.02, Epoch: 5.296511627906977, LR: 0.001
[2025-04-19 21:09:20] (step=0002994) Train Loss: 0.6380, Train Steps/Sec: 0.03, Epoch: 8.703488372093023, LR: 0.001
[2025-04-19 21:09:49] (step=0002995) Train Loss: 0.6483, Train Steps/Sec: 0.03, Epoch: 8.706395348837209, LR: 0.001
[2025-04-19 21:09:55] (step=0001823) Train Loss: 0.7342, Train Steps/Sec: 0.02, Epoch: 5.299418604651163, LR: 0.001
[2025-04-19 21:10:19] (step=0002996) Train Loss: 0.9068, Train Steps/Sec: 0.03, Epoch: 8.709302325581396, LR: 0.001
[2025-04-19 21:10:43] (step=0001824) Train Loss: 0.5846, Train Steps/Sec: 0.02, Epoch: 5.3023255813953485, LR: 0.001
[2025-04-19 21:10:49] (step=0002997) Train Loss: 0.9032, Train Steps/Sec: 0.03, Epoch: 8.712209302325581, LR: 0.001
[2025-04-19 21:11:18] (step=0002998) Train Loss: 0.8909, Train Steps/Sec: 0.03, Epoch: 8.715116279069768, LR: 0.001
[2025-04-19 21:11:32] (step=0001825) Train Loss: 0.5866, Train Steps/Sec: 0.02, Epoch: 5.305232558139535, LR: 0.001
[2025-04-19 21:11:48] (step=0002999) Train Loss: 0.7970, Train Steps/Sec: 0.03, Epoch: 8.718023255813954, LR: 0.001
[2025-04-19 21:12:17] (step=0003000) Train Loss: 0.6607, Train Steps/Sec: 0.03, Epoch: 8.720930232558139, LR: 0.001
[2025-04-19 21:12:20] (step=0001826) Train Loss: 0.6069, Train Steps/Sec: 0.02, Epoch: 5.308139534883721, LR: 0.001
[2025-04-19 21:12:31] Saved checkpoint to ./results/sfm_based//checkpoints/0003000/
[2025-04-19 21:13:00] (step=0003001) Train Loss: 0.4704, Train Steps/Sec: 0.02, Epoch: 8.723837209302326, LR: 0.001
[2025-04-19 21:13:08] (step=0001827) Train Loss: 0.5831, Train Steps/Sec: 0.02, Epoch: 5.311046511627907, LR: 0.001
[2025-04-19 21:13:30] (step=0003002) Train Loss: 0.7642, Train Steps/Sec: 0.03, Epoch: 8.726744186046512, LR: 0.001
[2025-04-19 21:13:56] (step=0001828) Train Loss: 0.8377, Train Steps/Sec: 0.02, Epoch: 5.313953488372093, LR: 0.001
[2025-04-19 21:14:00] (step=0003003) Train Loss: 0.7879, Train Steps/Sec: 0.03, Epoch: 8.729651162790697, LR: 0.001
[2025-04-19 21:14:29] (step=0003004) Train Loss: 0.8840, Train Steps/Sec: 0.03, Epoch: 8.732558139534884, LR: 0.001
[2025-04-19 21:14:45] (step=0001829) Train Loss: 0.4249, Train Steps/Sec: 0.02, Epoch: 5.316860465116279, LR: 0.001
[2025-04-19 21:14:59] (step=0003005) Train Loss: 0.8358, Train Steps/Sec: 0.03, Epoch: 8.73546511627907, LR: 0.001
[2025-04-19 21:15:29] (step=0003006) Train Loss: 0.8659, Train Steps/Sec: 0.03, Epoch: 8.738372093023257, LR: 0.001
[2025-04-19 21:15:33] (step=0001830) Train Loss: 0.5254, Train Steps/Sec: 0.02, Epoch: 5.319767441860465, LR: 0.001
[2025-04-19 21:15:59] (step=0003007) Train Loss: 0.8583, Train Steps/Sec: 0.03, Epoch: 8.741279069767442, LR: 0.001
[2025-04-19 21:16:21] (step=0001831) Train Loss: 0.5399, Train Steps/Sec: 0.02, Epoch: 5.3226744186046515, LR: 0.001
[2025-04-19 21:16:28] (step=0003008) Train Loss: 0.6451, Train Steps/Sec: 0.03, Epoch: 8.744186046511627, LR: 0.001
[2025-04-19 21:16:58] (step=0003009) Train Loss: 0.8333, Train Steps/Sec: 0.03, Epoch: 8.747093023255815, LR: 0.001
[2025-04-19 21:17:10] (step=0001832) Train Loss: 0.7998, Train Steps/Sec: 0.02, Epoch: 5.325581395348837, LR: 0.001
[2025-04-19 21:17:27] (step=0003010) Train Loss: 0.9088, Train Steps/Sec: 0.03, Epoch: 8.75, LR: 0.001
[2025-04-19 21:17:57] (step=0003011) Train Loss: 0.8937, Train Steps/Sec: 0.03, Epoch: 8.752906976744185, LR: 0.001
[2025-04-19 21:17:58] (step=0001833) Train Loss: 0.3958, Train Steps/Sec: 0.02, Epoch: 5.328488372093023, LR: 0.001
[2025-04-19 21:18:26] (step=0003012) Train Loss: 0.5434, Train Steps/Sec: 0.03, Epoch: 8.755813953488373, LR: 0.001
[2025-04-19 21:18:47] (step=0001834) Train Loss: 0.6547, Train Steps/Sec: 0.02, Epoch: 5.3313953488372094, LR: 0.001
[2025-04-19 21:18:56] (step=0003013) Train Loss: 0.5479, Train Steps/Sec: 0.03, Epoch: 8.758720930232558, LR: 0.001
[2025-04-19 21:19:26] (step=0003014) Train Loss: 0.4871, Train Steps/Sec: 0.03, Epoch: 8.761627906976743, LR: 0.001
[2025-04-19 21:19:35] (step=0001835) Train Loss: 0.7655, Train Steps/Sec: 0.02, Epoch: 5.334302325581396, LR: 0.001
[2025-04-19 21:19:55] (step=0003015) Train Loss: 0.8109, Train Steps/Sec: 0.03, Epoch: 8.76453488372093, LR: 0.001
[2025-04-19 21:20:23] (step=0001836) Train Loss: 0.8131, Train Steps/Sec: 0.02, Epoch: 5.337209302325581, LR: 0.001
[2025-04-19 21:20:25] (step=0003016) Train Loss: 0.8369, Train Steps/Sec: 0.03, Epoch: 8.767441860465116, LR: 0.001
[2025-04-19 21:20:55] (step=0003017) Train Loss: 0.7054, Train Steps/Sec: 0.03, Epoch: 8.770348837209303, LR: 0.001
[2025-04-19 21:21:11] (step=0001837) Train Loss: 0.7278, Train Steps/Sec: 0.02, Epoch: 5.340116279069767, LR: 0.001
[2025-04-19 21:21:24] (step=0003018) Train Loss: 0.8285, Train Steps/Sec: 0.03, Epoch: 8.773255813953488, LR: 0.001
[2025-04-19 21:21:54] (step=0003019) Train Loss: 0.8991, Train Steps/Sec: 0.03, Epoch: 8.776162790697674, LR: 0.001
[2025-04-19 21:21:59] (step=0001838) Train Loss: 0.7504, Train Steps/Sec: 0.02, Epoch: 5.343023255813954, LR: 0.001
[2025-04-19 21:22:24] (step=0003020) Train Loss: 0.8534, Train Steps/Sec: 0.03, Epoch: 8.779069767441861, LR: 0.001
[2025-04-19 21:22:47] (step=0001839) Train Loss: 0.6280, Train Steps/Sec: 0.02, Epoch: 5.34593023255814, LR: 0.001
[2025-04-19 21:22:53] (step=0003021) Train Loss: 0.8907, Train Steps/Sec: 0.03, Epoch: 8.781976744186046, LR: 0.001
[2025-04-19 21:23:23] (step=0003022) Train Loss: 0.6368, Train Steps/Sec: 0.03, Epoch: 8.784883720930232, LR: 0.001
[2025-04-19 21:23:36] (step=0001840) Train Loss: 0.8461, Train Steps/Sec: 0.02, Epoch: 5.348837209302325, LR: 0.001
[2025-04-19 21:23:53] (step=0003023) Train Loss: 0.8832, Train Steps/Sec: 0.03, Epoch: 8.787790697674419, LR: 0.001
[2025-04-19 21:24:22] (step=0003024) Train Loss: 0.5960, Train Steps/Sec: 0.03, Epoch: 8.790697674418604, LR: 0.001
[2025-04-19 21:24:24] (step=0001841) Train Loss: 0.5539, Train Steps/Sec: 0.02, Epoch: 5.351744186046512, LR: 0.001
[2025-04-19 21:24:51] (step=0003025) Train Loss: 0.8214, Train Steps/Sec: 0.03, Epoch: 8.793604651162791, LR: 0.001
[2025-04-19 21:25:12] (step=0001842) Train Loss: 0.7936, Train Steps/Sec: 0.02, Epoch: 5.354651162790698, LR: 0.001
[2025-04-19 21:25:21] (step=0003026) Train Loss: 0.8278, Train Steps/Sec: 0.03, Epoch: 8.796511627906977, LR: 0.001
[2025-04-19 21:25:50] (step=0003027) Train Loss: 0.4696, Train Steps/Sec: 0.03, Epoch: 8.799418604651162, LR: 0.001
[2025-04-19 21:26:00] (step=0001843) Train Loss: 0.4049, Train Steps/Sec: 0.02, Epoch: 5.357558139534884, LR: 0.001
[2025-04-19 21:26:20] (step=0003028) Train Loss: 0.5251, Train Steps/Sec: 0.03, Epoch: 8.80232558139535, LR: 0.001
[2025-04-19 21:26:48] (step=0001844) Train Loss: 0.4590, Train Steps/Sec: 0.02, Epoch: 5.3604651162790695, LR: 0.001
[2025-04-19 21:26:50] (step=0003029) Train Loss: 0.5194, Train Steps/Sec: 0.03, Epoch: 8.805232558139535, LR: 0.001
[2025-04-19 21:27:19] (step=0003030) Train Loss: 0.6634, Train Steps/Sec: 0.03, Epoch: 8.80813953488372, LR: 0.001
[2025-04-19 21:27:36] (step=0001845) Train Loss: 0.3653, Train Steps/Sec: 0.02, Epoch: 5.363372093023256, LR: 0.001
[2025-04-19 21:27:49] (step=0003031) Train Loss: 0.6317, Train Steps/Sec: 0.03, Epoch: 8.811046511627907, LR: 0.001
[2025-04-19 21:27:55] (step=0001846) Train Loss: 0.6889, Train Steps/Sec: 0.05, Epoch: 5.366279069767442, LR: 0.001
[2025-04-19 21:28:18] (step=0003032) Train Loss: 0.7727, Train Steps/Sec: 0.03, Epoch: 8.813953488372093, LR: 0.001
[2025-04-19 21:28:43] (step=0001847) Train Loss: 0.6046, Train Steps/Sec: 0.02, Epoch: 5.369186046511628, LR: 0.001
[2025-04-19 21:28:48] (step=0003033) Train Loss: 0.7794, Train Steps/Sec: 0.03, Epoch: 8.81686046511628, LR: 0.001
[2025-04-19 21:29:18] (step=0003034) Train Loss: 0.5433, Train Steps/Sec: 0.03, Epoch: 8.819767441860465, LR: 0.001
[2025-04-19 21:29:31] (step=0001848) Train Loss: 0.8396, Train Steps/Sec: 0.02, Epoch: 5.372093023255814, LR: 0.001
[2025-04-19 21:29:48] (step=0003035) Train Loss: 0.6953, Train Steps/Sec: 0.03, Epoch: 8.82267441860465, LR: 0.001
[2025-04-19 21:30:18] (step=0003036) Train Loss: 0.7385, Train Steps/Sec: 0.03, Epoch: 8.825581395348838, LR: 0.001
[2025-04-19 21:30:20] (step=0001849) Train Loss: 0.4733, Train Steps/Sec: 0.02, Epoch: 5.375, LR: 0.001
[2025-04-19 21:30:47] (step=0003037) Train Loss: 0.7773, Train Steps/Sec: 0.03, Epoch: 8.828488372093023, LR: 0.001
[2025-04-19 21:31:08] (step=0001850) Train Loss: 0.5730, Train Steps/Sec: 0.02, Epoch: 5.377906976744186, LR: 0.001
[2025-04-19 21:31:17] (step=0003038) Train Loss: 0.9423, Train Steps/Sec: 0.03, Epoch: 8.831395348837209, LR: 0.001
[2025-04-19 21:31:47] (step=0003039) Train Loss: 0.7612, Train Steps/Sec: 0.03, Epoch: 8.834302325581396, LR: 0.001
[2025-04-19 21:31:56] (step=0001851) Train Loss: 0.7770, Train Steps/Sec: 0.02, Epoch: 5.380813953488372, LR: 0.001
[2025-04-19 21:32:16] (step=0003040) Train Loss: 0.7857, Train Steps/Sec: 0.03, Epoch: 8.837209302325581, LR: 0.001
[2025-04-19 21:32:45] (step=0001852) Train Loss: 0.7945, Train Steps/Sec: 0.02, Epoch: 5.383720930232558, LR: 0.001
[2025-04-19 21:32:46] (step=0003041) Train Loss: 0.8353, Train Steps/Sec: 0.03, Epoch: 8.840116279069768, LR: 0.001
[2025-04-19 21:33:16] (step=0003042) Train Loss: 0.8663, Train Steps/Sec: 0.03, Epoch: 8.843023255813954, LR: 0.001
[2025-04-19 21:33:33] (step=0001853) Train Loss: 0.6994, Train Steps/Sec: 0.02, Epoch: 5.386627906976744, LR: 0.001
[2025-04-19 21:33:45] (step=0003043) Train Loss: 0.7708, Train Steps/Sec: 0.03, Epoch: 8.845930232558139, LR: 0.001
[2025-04-19 21:34:15] (step=0003044) Train Loss: 0.8427, Train Steps/Sec: 0.03, Epoch: 8.848837209302326, LR: 0.001
[2025-04-19 21:34:21] (step=0001854) Train Loss: 0.7049, Train Steps/Sec: 0.02, Epoch: 5.3895348837209305, LR: 0.001
[2025-04-19 21:34:45] (step=0003045) Train Loss: 0.5304, Train Steps/Sec: 0.03, Epoch: 8.851744186046512, LR: 0.001
[2025-04-19 21:35:09] (step=0001855) Train Loss: 0.6676, Train Steps/Sec: 0.02, Epoch: 5.392441860465116, LR: 0.001
[2025-04-19 21:35:15] (step=0003046) Train Loss: 0.8765, Train Steps/Sec: 0.03, Epoch: 8.854651162790697, LR: 0.001
[2025-04-19 21:35:44] (step=0003047) Train Loss: 0.7046, Train Steps/Sec: 0.03, Epoch: 8.857558139534884, LR: 0.001
[2025-04-19 21:35:58] (step=0001856) Train Loss: 0.8145, Train Steps/Sec: 0.02, Epoch: 5.395348837209302, LR: 0.001
[2025-04-19 21:36:14] (step=0003048) Train Loss: 0.6618, Train Steps/Sec: 0.03, Epoch: 8.86046511627907, LR: 0.001
[2025-04-19 21:36:44] (step=0003049) Train Loss: 0.7853, Train Steps/Sec: 0.03, Epoch: 8.863372093023257, LR: 0.001
[2025-04-19 21:36:46] (step=0001857) Train Loss: 0.4038, Train Steps/Sec: 0.02, Epoch: 5.398255813953488, LR: 0.001
[2025-04-19 21:37:14] (step=0003050) Train Loss: 0.5765, Train Steps/Sec: 0.03, Epoch: 8.866279069767442, LR: 0.001
[2025-04-19 21:37:34] (step=0001858) Train Loss: 0.6105, Train Steps/Sec: 0.02, Epoch: 5.401162790697675, LR: 0.001
[2025-04-19 21:37:43] (step=0003051) Train Loss: 0.8642, Train Steps/Sec: 0.03, Epoch: 8.869186046511627, LR: 0.001
[2025-04-19 21:38:13] (step=0003052) Train Loss: 0.5992, Train Steps/Sec: 0.03, Epoch: 8.872093023255815, LR: 0.001
[2025-04-19 21:38:22] (step=0001859) Train Loss: 0.5106, Train Steps/Sec: 0.02, Epoch: 5.40406976744186, LR: 0.001
[2025-04-19 21:38:43] (step=0003053) Train Loss: 0.6319, Train Steps/Sec: 0.03, Epoch: 8.875, LR: 0.001
[2025-04-19 21:39:10] (step=0001860) Train Loss: 0.6107, Train Steps/Sec: 0.02, Epoch: 5.406976744186046, LR: 0.001
[2025-04-19 21:39:12] (step=0003054) Train Loss: 0.9035, Train Steps/Sec: 0.03, Epoch: 8.877906976744185, LR: 0.001
[2025-04-19 21:39:42] (step=0003055) Train Loss: 0.4759, Train Steps/Sec: 0.03, Epoch: 8.880813953488373, LR: 0.001
[2025-04-19 21:39:59] (step=0001861) Train Loss: 0.7944, Train Steps/Sec: 0.02, Epoch: 5.409883720930233, LR: 0.001
[2025-04-19 21:40:12] (step=0003056) Train Loss: 0.9212, Train Steps/Sec: 0.03, Epoch: 8.883720930232558, LR: 0.001
[2025-04-19 21:40:41] (step=0003057) Train Loss: 0.7322, Train Steps/Sec: 0.03, Epoch: 8.886627906976743, LR: 0.001
[2025-04-19 21:40:47] (step=0001862) Train Loss: 0.4670, Train Steps/Sec: 0.02, Epoch: 5.412790697674419, LR: 0.001
[2025-04-19 21:41:11] (step=0003058) Train Loss: 0.9082, Train Steps/Sec: 0.03, Epoch: 8.88953488372093, LR: 0.001
[2025-04-19 21:41:35] (step=0001863) Train Loss: 0.5680, Train Steps/Sec: 0.02, Epoch: 5.415697674418604, LR: 0.001
[2025-04-19 21:41:41] (step=0003059) Train Loss: 0.6842, Train Steps/Sec: 0.03, Epoch: 8.892441860465116, LR: 0.001
[2025-04-19 21:42:11] (step=0003060) Train Loss: 0.5887, Train Steps/Sec: 0.03, Epoch: 8.895348837209303, LR: 0.001
[2025-04-19 21:42:23] (step=0001864) Train Loss: 0.8603, Train Steps/Sec: 0.02, Epoch: 5.4186046511627906, LR: 0.001
[2025-04-19 21:42:40] (step=0003061) Train Loss: 0.6823, Train Steps/Sec: 0.03, Epoch: 8.898255813953488, LR: 0.001
[2025-04-19 21:42:42] (step=0001865) Train Loss: 0.6163, Train Steps/Sec: 0.05, Epoch: 5.421511627906977, LR: 0.001
[2025-04-19 21:43:10] (step=0003062) Train Loss: 0.7080, Train Steps/Sec: 0.03, Epoch: 8.901162790697674, LR: 0.001
[2025-04-19 21:43:30] (step=0001866) Train Loss: 0.6404, Train Steps/Sec: 0.02, Epoch: 5.424418604651163, LR: 0.001
[2025-04-19 21:43:40] (step=0003063) Train Loss: 0.9250, Train Steps/Sec: 0.03, Epoch: 8.904069767441861, LR: 0.001
[2025-04-19 21:44:09] (step=0003064) Train Loss: 0.8773, Train Steps/Sec: 0.03, Epoch: 8.906976744186046, LR: 0.001
[2025-04-19 21:44:19] (step=0001867) Train Loss: 0.6484, Train Steps/Sec: 0.02, Epoch: 5.4273255813953485, LR: 0.001
[2025-04-19 21:44:39] (step=0003065) Train Loss: 0.6276, Train Steps/Sec: 0.03, Epoch: 8.909883720930232, LR: 0.001
[2025-04-19 21:45:07] (step=0001868) Train Loss: 0.5756, Train Steps/Sec: 0.02, Epoch: 5.430232558139535, LR: 0.001
[2025-04-19 21:45:10] (step=0003066) Train Loss: 0.7997, Train Steps/Sec: 0.03, Epoch: 8.912790697674419, LR: 0.001
[2025-04-19 21:45:41] (step=0003067) Train Loss: 0.8459, Train Steps/Sec: 0.03, Epoch: 8.915697674418604, LR: 0.001
[2025-04-19 21:45:56] (step=0001869) Train Loss: 0.7966, Train Steps/Sec: 0.02, Epoch: 5.433139534883721, LR: 0.001
[2025-04-19 21:46:12] (step=0003068) Train Loss: 0.7366, Train Steps/Sec: 0.03, Epoch: 8.918604651162791, LR: 0.001
[2025-04-19 21:46:43] (step=0003069) Train Loss: 0.8555, Train Steps/Sec: 0.03, Epoch: 8.921511627906977, LR: 0.001
[2025-04-19 21:46:44] (step=0001870) Train Loss: 0.6998, Train Steps/Sec: 0.02, Epoch: 5.436046511627907, LR: 0.001
[2025-04-19 21:47:14] (step=0003070) Train Loss: 0.6310, Train Steps/Sec: 0.03, Epoch: 8.924418604651162, LR: 0.001
[2025-04-19 21:47:32] (step=0001871) Train Loss: 0.7780, Train Steps/Sec: 0.02, Epoch: 5.438953488372093, LR: 0.001
[2025-04-19 21:47:44] (step=0003071) Train Loss: 0.8490, Train Steps/Sec: 0.03, Epoch: 8.92732558139535, LR: 0.001
[2025-04-19 21:48:15] (step=0003072) Train Loss: 0.5413, Train Steps/Sec: 0.03, Epoch: 8.930232558139535, LR: 0.001
[2025-04-19 21:48:20] (step=0001872) Train Loss: 0.3855, Train Steps/Sec: 0.02, Epoch: 5.441860465116279, LR: 0.001
[2025-04-19 21:48:46] (step=0003073) Train Loss: 0.6804, Train Steps/Sec: 0.03, Epoch: 8.93313953488372, LR: 0.001
[2025-04-19 21:49:09] (step=0001873) Train Loss: 0.4559, Train Steps/Sec: 0.02, Epoch: 5.444767441860465, LR: 0.001
[2025-04-19 21:49:16] (step=0003074) Train Loss: 0.8031, Train Steps/Sec: 0.03, Epoch: 8.936046511627907, LR: 0.001
[2025-04-19 21:49:46] (step=0003075) Train Loss: 0.8852, Train Steps/Sec: 0.03, Epoch: 8.938953488372093, LR: 0.001
[2025-04-19 21:49:57] (step=0001874) Train Loss: 0.4808, Train Steps/Sec: 0.02, Epoch: 5.4476744186046515, LR: 0.001
[2025-04-19 21:50:15] (step=0003076) Train Loss: 0.5584, Train Steps/Sec: 0.03, Epoch: 8.94186046511628, LR: 0.001
[2025-04-19 21:50:45] (step=0003077) Train Loss: 0.9006, Train Steps/Sec: 0.03, Epoch: 8.944767441860465, LR: 0.001
[2025-04-19 21:50:45] (step=0001875) Train Loss: 0.6913, Train Steps/Sec: 0.02, Epoch: 5.450581395348837, LR: 0.001
[2025-04-19 21:51:14] (step=0003078) Train Loss: 0.5435, Train Steps/Sec: 0.03, Epoch: 8.94767441860465, LR: 0.001
[2025-04-19 21:51:34] (step=0001876) Train Loss: 0.8187, Train Steps/Sec: 0.02, Epoch: 5.453488372093023, LR: 0.001
[2025-04-19 21:51:44] (step=0003079) Train Loss: 0.8321, Train Steps/Sec: 0.03, Epoch: 8.950581395348838, LR: 0.001
[2025-04-19 21:52:14] (step=0003080) Train Loss: 0.8315, Train Steps/Sec: 0.03, Epoch: 8.953488372093023, LR: 0.001
[2025-04-19 21:52:22] (step=0001877) Train Loss: 0.8374, Train Steps/Sec: 0.02, Epoch: 5.4563953488372094, LR: 0.001
[2025-04-19 21:52:43] (step=0003081) Train Loss: 0.6026, Train Steps/Sec: 0.03, Epoch: 8.956395348837209, LR: 0.001
[2025-04-19 21:53:10] (step=0001878) Train Loss: 0.5906, Train Steps/Sec: 0.02, Epoch: 5.459302325581396, LR: 0.001
[2025-04-19 21:53:13] (step=0003082) Train Loss: 0.5222, Train Steps/Sec: 0.03, Epoch: 8.959302325581396, LR: 0.001
[2025-04-19 21:53:43] (step=0003083) Train Loss: 0.7994, Train Steps/Sec: 0.03, Epoch: 8.962209302325581, LR: 0.001
[2025-04-19 21:53:58] (step=0001879) Train Loss: 0.3906, Train Steps/Sec: 0.02, Epoch: 5.462209302325581, LR: 0.001
[2025-04-19 21:54:12] (step=0003084) Train Loss: 0.8009, Train Steps/Sec: 0.03, Epoch: 8.965116279069768, LR: 0.001
[2025-04-19 21:54:42] (step=0003085) Train Loss: 0.5731, Train Steps/Sec: 0.03, Epoch: 8.968023255813954, LR: 0.001
[2025-04-19 21:54:47] (step=0001880) Train Loss: 0.3783, Train Steps/Sec: 0.02, Epoch: 5.465116279069767, LR: 0.001
[2025-04-19 21:55:12] (step=0003086) Train Loss: 0.6042, Train Steps/Sec: 0.03, Epoch: 8.970930232558139, LR: 0.001
[2025-04-19 21:55:35] (step=0001881) Train Loss: 0.5808, Train Steps/Sec: 0.02, Epoch: 5.468023255813954, LR: 0.001
[2025-04-19 21:55:42] (step=0003087) Train Loss: 0.6449, Train Steps/Sec: 0.03, Epoch: 8.973837209302326, LR: 0.001
[2025-04-19 21:56:11] (step=0003088) Train Loss: 0.8971, Train Steps/Sec: 0.03, Epoch: 8.976744186046512, LR: 0.001
[2025-04-19 21:56:23] (step=0001882) Train Loss: 0.4492, Train Steps/Sec: 0.02, Epoch: 5.47093023255814, LR: 0.001
[2025-04-19 21:56:41] (step=0003089) Train Loss: 0.8526, Train Steps/Sec: 0.03, Epoch: 8.979651162790697, LR: 0.001
[2025-04-19 21:57:11] (step=0003090) Train Loss: 0.8847, Train Steps/Sec: 0.03, Epoch: 8.982558139534884, LR: 0.001
[2025-04-19 21:57:11] (step=0001883) Train Loss: 0.3774, Train Steps/Sec: 0.02, Epoch: 5.473837209302325, LR: 0.001
[2025-04-19 21:57:41] (step=0003091) Train Loss: 0.5183, Train Steps/Sec: 0.03, Epoch: 8.98546511627907, LR: 0.001
[2025-04-19 21:58:00] (step=0001884) Train Loss: 0.4373, Train Steps/Sec: 0.02, Epoch: 5.476744186046512, LR: 0.001
[2025-04-19 21:58:10] (step=0003092) Train Loss: 0.7262, Train Steps/Sec: 0.03, Epoch: 8.988372093023257, LR: 0.001
[2025-04-19 21:58:40] (step=0003093) Train Loss: 0.7567, Train Steps/Sec: 0.03, Epoch: 8.991279069767442, LR: 0.001
[2025-04-19 21:58:48] (step=0001885) Train Loss: 0.8443, Train Steps/Sec: 0.02, Epoch: 5.479651162790698, LR: 0.001
[2025-04-19 21:59:09] (step=0003094) Train Loss: 0.5088, Train Steps/Sec: 0.03, Epoch: 8.994186046511627, LR: 0.001
[2025-04-19 21:59:36] (step=0001886) Train Loss: 0.7064, Train Steps/Sec: 0.02, Epoch: 5.482558139534884, LR: 0.001
[2025-04-19 21:59:39] (step=0003095) Train Loss: 0.5973, Train Steps/Sec: 0.03, Epoch: 8.997093023255815, LR: 0.001
[2025-04-19 22:00:09] (step=0003096) Train Loss: 0.6462, Train Steps/Sec: 0.03, Epoch: 9.0, LR: 0.001
[2025-04-19 22:00:09] Beginning epoch 9...
[2025-04-19 22:00:25] (step=0001887) Train Loss: 0.6441, Train Steps/Sec: 0.02, Epoch: 5.4854651162790695, LR: 0.001
[2025-04-19 22:00:47] (step=0003097) Train Loss: 0.8504, Train Steps/Sec: 0.03, Epoch: 9.002906976744185, LR: 0.001
[2025-04-19 22:01:13] (step=0001888) Train Loss: 0.3737, Train Steps/Sec: 0.02, Epoch: 5.488372093023256, LR: 0.001
[2025-04-19 22:01:17] (step=0003098) Train Loss: 0.8368, Train Steps/Sec: 0.03, Epoch: 9.005813953488373, LR: 0.001
[2025-04-19 22:01:46] (step=0003099) Train Loss: 0.9052, Train Steps/Sec: 0.03, Epoch: 9.008720930232558, LR: 0.001
[2025-04-19 22:02:01] (step=0001889) Train Loss: 0.6550, Train Steps/Sec: 0.02, Epoch: 5.491279069767442, LR: 0.001
[2025-04-19 22:02:16] (step=0003100) Train Loss: 0.5651, Train Steps/Sec: 0.03, Epoch: 9.011627906976743, LR: 0.001
[2025-04-19 22:02:46] (step=0003101) Train Loss: 0.7294, Train Steps/Sec: 0.03, Epoch: 9.01453488372093, LR: 0.001
[2025-04-19 22:02:49] (step=0001890) Train Loss: 0.7211, Train Steps/Sec: 0.02, Epoch: 5.494186046511628, LR: 0.001
[2025-04-19 22:03:16] (step=0003102) Train Loss: 0.8776, Train Steps/Sec: 0.03, Epoch: 9.017441860465116, LR: 0.001
[2025-04-19 22:03:37] (step=0001891) Train Loss: 0.4062, Train Steps/Sec: 0.02, Epoch: 5.497093023255814, LR: 0.001
[2025-04-19 22:03:46] (step=0003103) Train Loss: 0.8907, Train Steps/Sec: 0.03, Epoch: 9.020348837209303, LR: 0.001
[2025-04-19 22:04:15] (step=0003104) Train Loss: 0.6692, Train Steps/Sec: 0.03, Epoch: 9.023255813953488, LR: 0.001
[2025-04-19 22:04:26] (step=0001892) Train Loss: 0.6004, Train Steps/Sec: 0.02, Epoch: 5.5, LR: 0.001
[2025-04-19 22:04:45] (step=0003105) Train Loss: 0.9118, Train Steps/Sec: 0.03, Epoch: 9.026162790697674, LR: 0.001
[2025-04-19 22:05:14] (step=0001893) Train Loss: 0.6424, Train Steps/Sec: 0.02, Epoch: 5.502906976744186, LR: 0.001
[2025-04-19 22:05:15] (step=0003106) Train Loss: 0.6438, Train Steps/Sec: 0.03, Epoch: 9.029069767441861, LR: 0.001
[2025-04-19 22:05:45] (step=0003107) Train Loss: 0.7010, Train Steps/Sec: 0.03, Epoch: 9.031976744186046, LR: 0.001
[2025-04-19 22:06:02] (step=0001894) Train Loss: 0.7586, Train Steps/Sec: 0.02, Epoch: 5.505813953488372, LR: 0.001
[2025-04-19 22:06:14] (step=0003108) Train Loss: 0.5340, Train Steps/Sec: 0.03, Epoch: 9.034883720930232, LR: 0.001
[2025-04-19 22:06:44] (step=0003109) Train Loss: 0.4150, Train Steps/Sec: 0.03, Epoch: 9.037790697674419, LR: 0.001
[2025-04-19 22:06:50] (step=0001895) Train Loss: 0.7969, Train Steps/Sec: 0.02, Epoch: 5.508720930232558, LR: 0.001
[2025-04-19 22:07:14] (step=0003110) Train Loss: 0.6226, Train Steps/Sec: 0.03, Epoch: 9.040697674418604, LR: 0.001
[2025-04-19 22:07:39] (step=0001896) Train Loss: 0.8150, Train Steps/Sec: 0.02, Epoch: 5.511627906976744, LR: 0.001
[2025-04-19 22:07:44] (step=0003111) Train Loss: 0.9091, Train Steps/Sec: 0.03, Epoch: 9.043604651162791, LR: 0.001
[2025-04-19 22:08:13] (step=0003112) Train Loss: 0.3961, Train Steps/Sec: 0.03, Epoch: 9.046511627906977, LR: 0.001
[2025-04-19 22:08:27] (step=0001897) Train Loss: 0.5346, Train Steps/Sec: 0.02, Epoch: 5.5145348837209305, LR: 0.001
[2025-04-19 22:08:43] (step=0003113) Train Loss: 0.7208, Train Steps/Sec: 0.03, Epoch: 9.049418604651162, LR: 0.001
[2025-04-19 22:09:12] (step=0003114) Train Loss: 0.5803, Train Steps/Sec: 0.03, Epoch: 9.05232558139535, LR: 0.001
[2025-04-19 22:09:15] (step=0001898) Train Loss: 0.8319, Train Steps/Sec: 0.02, Epoch: 5.517441860465116, LR: 0.001
[2025-04-19 22:09:42] (step=0003115) Train Loss: 0.7215, Train Steps/Sec: 0.03, Epoch: 9.055232558139535, LR: 0.001
[2025-04-19 22:10:04] (step=0001899) Train Loss: 0.8586, Train Steps/Sec: 0.02, Epoch: 5.520348837209302, LR: 0.001
[2025-04-19 22:10:12] (step=0003116) Train Loss: 0.7813, Train Steps/Sec: 0.03, Epoch: 9.05813953488372, LR: 0.001
[2025-04-19 22:10:41] (step=0003117) Train Loss: 0.8352, Train Steps/Sec: 0.03, Epoch: 9.061046511627907, LR: 0.001
[2025-04-19 22:10:52] (step=0001900) Train Loss: 0.3810, Train Steps/Sec: 0.02, Epoch: 5.523255813953488, LR: 0.001
[2025-04-19 22:11:11] (step=0003118) Train Loss: 0.4685, Train Steps/Sec: 0.03, Epoch: 9.063953488372093, LR: 0.001
[2025-04-19 22:11:40] (step=0001901) Train Loss: 0.8244, Train Steps/Sec: 0.02, Epoch: 5.526162790697675, LR: 0.001
[2025-04-19 22:11:41] (step=0003119) Train Loss: 0.7858, Train Steps/Sec: 0.03, Epoch: 9.06686046511628, LR: 0.001
[2025-04-19 22:12:11] (step=0003120) Train Loss: 0.8739, Train Steps/Sec: 0.03, Epoch: 9.069767441860465, LR: 0.001
[2025-04-19 22:12:28] (step=0001902) Train Loss: 0.5278, Train Steps/Sec: 0.02, Epoch: 5.52906976744186, LR: 0.001
[2025-04-19 22:12:40] (step=0003121) Train Loss: 0.6336, Train Steps/Sec: 0.03, Epoch: 9.07267441860465, LR: 0.001
[2025-04-19 22:13:10] (step=0003122) Train Loss: 0.8424, Train Steps/Sec: 0.03, Epoch: 9.075581395348838, LR: 0.001
[2025-04-19 22:13:16] (step=0001903) Train Loss: 0.7955, Train Steps/Sec: 0.02, Epoch: 5.531976744186046, LR: 0.001
[2025-04-19 22:13:39] (step=0003123) Train Loss: 0.8084, Train Steps/Sec: 0.03, Epoch: 9.078488372093023, LR: 0.001
[2025-04-19 22:14:05] (step=0001904) Train Loss: 0.7574, Train Steps/Sec: 0.02, Epoch: 5.534883720930233, LR: 0.001
[2025-04-19 22:14:09] (step=0003124) Train Loss: 0.8279, Train Steps/Sec: 0.03, Epoch: 9.081395348837209, LR: 0.001
[2025-04-19 22:14:39] (step=0003125) Train Loss: 0.4543, Train Steps/Sec: 0.03, Epoch: 9.084302325581396, LR: 0.001
[2025-04-19 22:14:53] (step=0001905) Train Loss: 0.8138, Train Steps/Sec: 0.02, Epoch: 5.537790697674419, LR: 0.001
[2025-04-19 22:15:09] (step=0003126) Train Loss: 0.7554, Train Steps/Sec: 0.03, Epoch: 9.087209302325581, LR: 0.001
[2025-04-19 22:15:38] (step=0003127) Train Loss: 0.6969, Train Steps/Sec: 0.03, Epoch: 9.090116279069768, LR: 0.001
[2025-04-19 22:15:41] (step=0001906) Train Loss: 0.7439, Train Steps/Sec: 0.02, Epoch: 5.540697674418604, LR: 0.001
[2025-04-19 22:16:08] (step=0003128) Train Loss: 0.8362, Train Steps/Sec: 0.03, Epoch: 9.093023255813954, LR: 0.001
[2025-04-19 22:16:30] (step=0001907) Train Loss: 0.8281, Train Steps/Sec: 0.02, Epoch: 5.5436046511627906, LR: 0.001
[2025-04-19 22:16:38] (step=0003129) Train Loss: 0.9025, Train Steps/Sec: 0.03, Epoch: 9.095930232558139, LR: 0.001
[2025-04-19 22:17:07] (step=0003130) Train Loss: 0.5002, Train Steps/Sec: 0.03, Epoch: 9.098837209302326, LR: 0.001
[2025-04-19 22:17:18] (step=0001908) Train Loss: 0.8025, Train Steps/Sec: 0.02, Epoch: 5.546511627906977, LR: 0.001
[2025-04-19 22:17:37] (step=0003131) Train Loss: 0.8679, Train Steps/Sec: 0.03, Epoch: 9.101744186046512, LR: 0.001
[2025-04-19 22:18:06] (step=0003132) Train Loss: 0.6899, Train Steps/Sec: 0.03, Epoch: 9.104651162790697, LR: 0.001
[2025-04-19 22:18:07] (step=0001909) Train Loss: 0.8560, Train Steps/Sec: 0.02, Epoch: 5.549418604651163, LR: 0.001
[2025-04-19 22:18:36] (step=0003133) Train Loss: 0.8139, Train Steps/Sec: 0.03, Epoch: 9.107558139534884, LR: 0.001
[2025-04-19 22:18:55] (step=0001910) Train Loss: 0.4651, Train Steps/Sec: 0.02, Epoch: 5.5523255813953485, LR: 0.001
[2025-04-19 22:19:06] (step=0003134) Train Loss: 0.6162, Train Steps/Sec: 0.03, Epoch: 9.11046511627907, LR: 0.001
[2025-04-19 22:19:35] (step=0003135) Train Loss: 0.6057, Train Steps/Sec: 0.03, Epoch: 9.113372093023257, LR: 0.001
[2025-04-19 22:19:43] (step=0001911) Train Loss: 0.8280, Train Steps/Sec: 0.02, Epoch: 5.555232558139535, LR: 0.001
[2025-04-19 22:20:05] (step=0003136) Train Loss: 0.8445, Train Steps/Sec: 0.03, Epoch: 9.116279069767442, LR: 0.001
[2025-04-19 22:20:32] (step=0001912) Train Loss: 0.8418, Train Steps/Sec: 0.02, Epoch: 5.558139534883721, LR: 0.001
[2025-04-19 22:20:35] (step=0003137) Train Loss: 0.8425, Train Steps/Sec: 0.03, Epoch: 9.119186046511627, LR: 0.001
[2025-04-19 22:21:05] (step=0003138) Train Loss: 0.8141, Train Steps/Sec: 0.03, Epoch: 9.122093023255815, LR: 0.001
[2025-04-19 22:21:20] (step=0001913) Train Loss: 0.4030, Train Steps/Sec: 0.02, Epoch: 5.561046511627907, LR: 0.001
[2025-04-19 22:21:34] (step=0003139) Train Loss: 0.7692, Train Steps/Sec: 0.03, Epoch: 9.125, LR: 0.001
[2025-04-19 22:22:04] (step=0003140) Train Loss: 0.4000, Train Steps/Sec: 0.03, Epoch: 9.127906976744185, LR: 0.001
[2025-04-19 22:22:08] (step=0001914) Train Loss: 0.6283, Train Steps/Sec: 0.02, Epoch: 5.563953488372093, LR: 0.001
[2025-04-19 22:22:34] (step=0003141) Train Loss: 0.6600, Train Steps/Sec: 0.03, Epoch: 9.130813953488373, LR: 0.001
[2025-04-19 22:22:56] (step=0001915) Train Loss: 0.7276, Train Steps/Sec: 0.02, Epoch: 5.566860465116279, LR: 0.001
[2025-04-19 22:23:04] (step=0003142) Train Loss: 0.5781, Train Steps/Sec: 0.03, Epoch: 9.133720930232558, LR: 0.001
[2025-04-19 22:23:34] (step=0003143) Train Loss: 0.8950, Train Steps/Sec: 0.03, Epoch: 9.136627906976743, LR: 0.001
[2025-04-19 22:23:45] (step=0001916) Train Loss: 0.7014, Train Steps/Sec: 0.02, Epoch: 5.569767441860465, LR: 0.001
[2025-04-19 22:24:05] (step=0003144) Train Loss: 0.8095, Train Steps/Sec: 0.03, Epoch: 9.13953488372093, LR: 0.001
[2025-04-19 22:24:33] (step=0001917) Train Loss: 0.8047, Train Steps/Sec: 0.02, Epoch: 5.5726744186046515, LR: 0.001
[2025-04-19 22:24:36] (step=0003145) Train Loss: 0.8870, Train Steps/Sec: 0.03, Epoch: 9.142441860465116, LR: 0.001
[2025-04-19 22:25:06] (step=0003146) Train Loss: 0.7394, Train Steps/Sec: 0.03, Epoch: 9.145348837209303, LR: 0.001
[2025-04-19 22:25:22] (step=0001918) Train Loss: 0.5073, Train Steps/Sec: 0.02, Epoch: 5.575581395348837, LR: 0.001
[2025-04-19 22:25:36] (step=0003147) Train Loss: 0.6014, Train Steps/Sec: 0.03, Epoch: 9.148255813953488, LR: 0.001
[2025-04-19 22:26:06] (step=0003148) Train Loss: 0.7712, Train Steps/Sec: 0.03, Epoch: 9.151162790697674, LR: 0.001
[2025-04-19 22:26:10] (step=0001919) Train Loss: 0.6603, Train Steps/Sec: 0.02, Epoch: 5.578488372093023, LR: 0.001
[2025-04-19 22:26:36] (step=0003149) Train Loss: 0.7024, Train Steps/Sec: 0.03, Epoch: 9.154069767441861, LR: 0.001
[2025-04-19 22:26:59] (step=0001920) Train Loss: 0.4490, Train Steps/Sec: 0.02, Epoch: 5.5813953488372094, LR: 0.001
[2025-04-19 22:27:06] (step=0003150) Train Loss: 0.6038, Train Steps/Sec: 0.03, Epoch: 9.156976744186046, LR: 0.001
[2025-04-19 22:27:37] (step=0003151) Train Loss: 0.5085, Train Steps/Sec: 0.03, Epoch: 9.159883720930232, LR: 0.001
[2025-04-19 22:27:47] (step=0001921) Train Loss: 0.7622, Train Steps/Sec: 0.02, Epoch: 5.584302325581396, LR: 0.001
[2025-04-19 22:28:08] (step=0003152) Train Loss: 0.6126, Train Steps/Sec: 0.03, Epoch: 9.162790697674419, LR: 0.001
[2025-04-19 22:28:36] (step=0001922) Train Loss: 0.6754, Train Steps/Sec: 0.02, Epoch: 5.587209302325581, LR: 0.001
[2025-04-19 22:28:39] (step=0003153) Train Loss: 0.7224, Train Steps/Sec: 0.03, Epoch: 9.165697674418604, LR: 0.001
[2025-04-19 22:29:09] (step=0003154) Train Loss: 0.6654, Train Steps/Sec: 0.03, Epoch: 9.168604651162791, LR: 0.001
[2025-04-19 22:29:24] (step=0001923) Train Loss: 0.8727, Train Steps/Sec: 0.02, Epoch: 5.590116279069767, LR: 0.001
[2025-04-19 22:29:40] (step=0003155) Train Loss: 0.8367, Train Steps/Sec: 0.03, Epoch: 9.171511627906977, LR: 0.001
[2025-04-19 22:30:10] (step=0003156) Train Loss: 0.8555, Train Steps/Sec: 0.03, Epoch: 9.174418604651162, LR: 0.001
[2025-04-19 22:30:13] (step=0001924) Train Loss: 0.6846, Train Steps/Sec: 0.02, Epoch: 5.593023255813954, LR: 0.001
[2025-04-19 22:30:41] (step=0003157) Train Loss: 0.8716, Train Steps/Sec: 0.03, Epoch: 9.17732558139535, LR: 0.001
[2025-04-19 22:31:01] (step=0001925) Train Loss: 0.5689, Train Steps/Sec: 0.02, Epoch: 5.59593023255814, LR: 0.001
[2025-04-19 22:31:11] (step=0003158) Train Loss: 0.4357, Train Steps/Sec: 0.03, Epoch: 9.180232558139535, LR: 0.001
[2025-04-19 22:31:41] (step=0003159) Train Loss: 0.8281, Train Steps/Sec: 0.03, Epoch: 9.18313953488372, LR: 0.001
[2025-04-19 22:31:50] (step=0001926) Train Loss: 0.4837, Train Steps/Sec: 0.02, Epoch: 5.598837209302325, LR: 0.001
[2025-04-19 22:32:11] (step=0003160) Train Loss: 0.6746, Train Steps/Sec: 0.03, Epoch: 9.186046511627907, LR: 0.001
[2025-04-19 22:32:38] (step=0001927) Train Loss: 0.4476, Train Steps/Sec: 0.02, Epoch: 5.601744186046512, LR: 0.001
[2025-04-19 22:32:41] (step=0003161) Train Loss: 0.4965, Train Steps/Sec: 0.03, Epoch: 9.188953488372093, LR: 0.001
[2025-04-19 22:33:10] (step=0003162) Train Loss: 0.4497, Train Steps/Sec: 0.03, Epoch: 9.19186046511628, LR: 0.001
[2025-04-19 22:33:27] (step=0001928) Train Loss: 0.7646, Train Steps/Sec: 0.02, Epoch: 5.604651162790698, LR: 0.001
[2025-04-19 22:33:40] (step=0003163) Train Loss: 0.4602, Train Steps/Sec: 0.03, Epoch: 9.194767441860465, LR: 0.001
[2025-04-19 22:34:10] (step=0003164) Train Loss: 0.6484, Train Steps/Sec: 0.03, Epoch: 9.19767441860465, LR: 0.001
[2025-04-19 22:34:15] (step=0001929) Train Loss: 0.6529, Train Steps/Sec: 0.02, Epoch: 5.607558139534884, LR: 0.001
[2025-04-19 22:34:40] (step=0003165) Train Loss: 0.7892, Train Steps/Sec: 0.03, Epoch: 9.200581395348838, LR: 0.001
[2025-04-19 22:35:03] (step=0001930) Train Loss: 0.6830, Train Steps/Sec: 0.02, Epoch: 5.6104651162790695, LR: 0.001
[2025-04-19 22:35:09] (step=0003166) Train Loss: 0.6269, Train Steps/Sec: 0.03, Epoch: 9.203488372093023, LR: 0.001
[2025-04-19 22:35:39] (step=0003167) Train Loss: 0.5712, Train Steps/Sec: 0.03, Epoch: 9.206395348837209, LR: 0.001
[2025-04-19 22:35:52] (step=0001931) Train Loss: 0.7378, Train Steps/Sec: 0.02, Epoch: 5.613372093023256, LR: 0.001
[2025-04-19 22:36:09] (step=0003168) Train Loss: 0.8189, Train Steps/Sec: 0.03, Epoch: 9.209302325581396, LR: 0.001
[2025-04-19 22:36:39] (step=0003169) Train Loss: 0.8659, Train Steps/Sec: 0.03, Epoch: 9.212209302325581, LR: 0.001
[2025-04-19 22:36:40] (step=0001932) Train Loss: 0.5171, Train Steps/Sec: 0.02, Epoch: 5.616279069767442, LR: 0.001
[2025-04-19 22:37:09] (step=0003170) Train Loss: 0.7208, Train Steps/Sec: 0.03, Epoch: 9.215116279069768, LR: 0.001
[2025-04-19 22:37:29] (step=0001933) Train Loss: 0.5711, Train Steps/Sec: 0.02, Epoch: 5.619186046511628, LR: 0.001
[2025-04-19 22:37:38] (step=0003171) Train Loss: 0.7923, Train Steps/Sec: 0.03, Epoch: 9.218023255813954, LR: 0.001
[2025-04-19 22:38:08] (step=0003172) Train Loss: 0.7303, Train Steps/Sec: 0.03, Epoch: 9.220930232558139, LR: 0.001
[2025-04-19 22:38:17] (step=0001934) Train Loss: 0.4608, Train Steps/Sec: 0.02, Epoch: 5.622093023255814, LR: 0.001
[2025-04-19 22:38:38] (step=0003173) Train Loss: 0.8681, Train Steps/Sec: 0.03, Epoch: 9.223837209302326, LR: 0.001
[2025-04-19 22:39:05] (step=0001935) Train Loss: 0.7545, Train Steps/Sec: 0.02, Epoch: 5.625, LR: 0.001
[2025-04-19 22:39:08] (step=0003174) Train Loss: 0.5887, Train Steps/Sec: 0.03, Epoch: 9.226744186046512, LR: 0.001
[2025-04-19 22:39:38] (step=0003175) Train Loss: 0.7830, Train Steps/Sec: 0.03, Epoch: 9.229651162790697, LR: 0.001
[2025-04-19 22:40:07] (step=0003176) Train Loss: 0.8184, Train Steps/Sec: 0.03, Epoch: 9.232558139534884, LR: 0.001
[2025-04-19 22:40:16] (step=0001936) Train Loss: 0.3833, Train Steps/Sec: 0.01, Epoch: 5.627906976744186, LR: 0.001
[2025-04-19 22:40:37] (step=0003177) Train Loss: 0.5642, Train Steps/Sec: 0.03, Epoch: 9.23546511627907, LR: 0.001
[2025-04-19 22:41:06] (step=0003178) Train Loss: 0.7897, Train Steps/Sec: 0.03, Epoch: 9.238372093023257, LR: 0.001
[2025-04-19 22:41:36] (step=0003179) Train Loss: 0.8120, Train Steps/Sec: 0.03, Epoch: 9.241279069767442, LR: 0.001
[2025-04-19 22:41:44] (step=0001937) Train Loss: 0.7691, Train Steps/Sec: 0.01, Epoch: 5.630813953488372, LR: 0.001
[2025-04-19 22:42:06] (step=0003180) Train Loss: 0.6804, Train Steps/Sec: 0.03, Epoch: 9.244186046511627, LR: 0.001
[2025-04-19 22:42:35] (step=0003181) Train Loss: 0.6572, Train Steps/Sec: 0.03, Epoch: 9.247093023255815, LR: 0.001
[2025-04-19 22:43:05] (step=0003182) Train Loss: 0.5242, Train Steps/Sec: 0.03, Epoch: 9.25, LR: 0.001
[2025-04-19 22:43:14] (step=0001938) Train Loss: 0.8135, Train Steps/Sec: 0.01, Epoch: 5.633720930232558, LR: 0.001
[2025-04-19 22:43:34] (step=0003183) Train Loss: 0.6300, Train Steps/Sec: 0.03, Epoch: 9.252906976744185, LR: 0.001
[2025-04-19 22:44:04] (step=0003184) Train Loss: 0.6724, Train Steps/Sec: 0.03, Epoch: 9.255813953488373, LR: 0.001
[2025-04-19 22:44:34] (step=0003185) Train Loss: 0.7290, Train Steps/Sec: 0.03, Epoch: 9.258720930232558, LR: 0.001
[2025-04-19 22:44:42] (step=0001939) Train Loss: 0.7211, Train Steps/Sec: 0.01, Epoch: 5.636627906976744, LR: 0.001
[2025-04-19 22:45:03] (step=0003186) Train Loss: 0.5529, Train Steps/Sec: 0.03, Epoch: 9.261627906976743, LR: 0.001
[2025-04-19 22:45:33] (step=0003187) Train Loss: 0.5590, Train Steps/Sec: 0.03, Epoch: 9.26453488372093, LR: 0.001
[2025-04-19 22:46:03] (step=0003188) Train Loss: 0.9145, Train Steps/Sec: 0.03, Epoch: 9.267441860465116, LR: 0.001
[2025-04-19 22:46:11] (step=0001940) Train Loss: 0.8784, Train Steps/Sec: 0.01, Epoch: 5.6395348837209305, LR: 0.001
[2025-04-19 22:46:33] (step=0003189) Train Loss: 0.8322, Train Steps/Sec: 0.03, Epoch: 9.270348837209303, LR: 0.001
[2025-04-19 22:47:02] (step=0003190) Train Loss: 0.5559, Train Steps/Sec: 0.03, Epoch: 9.273255813953488, LR: 0.001
[2025-04-19 22:47:32] (step=0003191) Train Loss: 0.5336, Train Steps/Sec: 0.03, Epoch: 9.276162790697674, LR: 0.001
[2025-04-19 22:47:42] (step=0001941) Train Loss: 0.8303, Train Steps/Sec: 0.01, Epoch: 5.642441860465116, LR: 0.001
[2025-04-19 22:48:02] (step=0003192) Train Loss: 0.9037, Train Steps/Sec: 0.03, Epoch: 9.279069767441861, LR: 0.001
[2025-04-19 22:48:32] (step=0003193) Train Loss: 0.9048, Train Steps/Sec: 0.03, Epoch: 9.281976744186046, LR: 0.001
[2025-04-19 22:49:02] (step=0003194) Train Loss: 0.7969, Train Steps/Sec: 0.03, Epoch: 9.284883720930232, LR: 0.001
[2025-04-19 22:49:11] (step=0001942) Train Loss: 0.8013, Train Steps/Sec: 0.01, Epoch: 5.645348837209302, LR: 0.001
[2025-04-19 22:49:31] (step=0003195) Train Loss: 0.4406, Train Steps/Sec: 0.03, Epoch: 9.287790697674419, LR: 0.001
[2025-04-19 22:50:01] (step=0003196) Train Loss: 0.8522, Train Steps/Sec: 0.03, Epoch: 9.290697674418604, LR: 0.001
[2025-04-19 22:50:30] (step=0003197) Train Loss: 0.8602, Train Steps/Sec: 0.03, Epoch: 9.293604651162791, LR: 0.001
[2025-04-19 22:50:41] (step=0001943) Train Loss: 0.8553, Train Steps/Sec: 0.01, Epoch: 5.648255813953488, LR: 0.001
[2025-04-19 22:51:00] (step=0003198) Train Loss: 0.6651, Train Steps/Sec: 0.03, Epoch: 9.296511627906977, LR: 0.001
[2025-04-19 22:51:30] (step=0003199) Train Loss: 0.8245, Train Steps/Sec: 0.03, Epoch: 9.299418604651162, LR: 0.001
[2025-04-19 22:51:59] (step=0003200) Train Loss: 0.8234, Train Steps/Sec: 0.03, Epoch: 9.30232558139535, LR: 0.001
[2025-04-19 22:52:11] (step=0001944) Train Loss: 0.3547, Train Steps/Sec: 0.01, Epoch: 5.651162790697675, LR: 0.001
[2025-04-19 22:52:13] Saved checkpoint to ./results/sfm_based//checkpoints/0003200/
[2025-04-19 22:52:42] (step=0003201) Train Loss: 0.6622, Train Steps/Sec: 0.02, Epoch: 9.305232558139535, LR: 0.001
[2025-04-19 22:53:12] (step=0003202) Train Loss: 0.6527, Train Steps/Sec: 0.03, Epoch: 9.30813953488372, LR: 0.001
[2025-04-19 22:53:38] (step=0001945) Train Loss: 0.3929, Train Steps/Sec: 0.01, Epoch: 5.65406976744186, LR: 0.001
[2025-04-19 22:53:42] (step=0003203) Train Loss: 0.6513, Train Steps/Sec: 0.03, Epoch: 9.311046511627907, LR: 0.001
[2025-04-19 22:54:12] (step=0003204) Train Loss: 0.4474, Train Steps/Sec: 0.03, Epoch: 9.313953488372093, LR: 0.001
[2025-04-19 22:54:42] (step=0003205) Train Loss: 0.8914, Train Steps/Sec: 0.03, Epoch: 9.31686046511628, LR: 0.001
[2025-04-19 22:54:46] (step=0001946) Train Loss: 0.5833, Train Steps/Sec: 0.01, Epoch: 5.656976744186046, LR: 0.001
[2025-04-19 22:55:11] (step=0003206) Train Loss: 0.5644, Train Steps/Sec: 0.03, Epoch: 9.319767441860465, LR: 0.001
[2025-04-19 22:55:34] (step=0001947) Train Loss: 0.5519, Train Steps/Sec: 0.02, Epoch: 5.659883720930233, LR: 0.001
[2025-04-19 22:55:41] (step=0003207) Train Loss: 0.7059, Train Steps/Sec: 0.03, Epoch: 9.32267441860465, LR: 0.001
[2025-04-19 22:56:11] (step=0003208) Train Loss: 0.7015, Train Steps/Sec: 0.03, Epoch: 9.325581395348838, LR: 0.001
[2025-04-19 22:56:23] (step=0001948) Train Loss: 0.7687, Train Steps/Sec: 0.02, Epoch: 5.662790697674419, LR: 0.001
[2025-04-19 22:56:41] (step=0003209) Train Loss: 0.8970, Train Steps/Sec: 0.03, Epoch: 9.328488372093023, LR: 0.001
[2025-04-19 22:57:10] (step=0003210) Train Loss: 0.6587, Train Steps/Sec: 0.03, Epoch: 9.331395348837209, LR: 0.001
[2025-04-19 22:57:11] (step=0001949) Train Loss: 0.4928, Train Steps/Sec: 0.02, Epoch: 5.665697674418604, LR: 0.001
[2025-04-19 22:57:40] (step=0003211) Train Loss: 0.7081, Train Steps/Sec: 0.03, Epoch: 9.334302325581396, LR: 0.001
[2025-04-19 22:57:59] (step=0001950) Train Loss: 0.5976, Train Steps/Sec: 0.02, Epoch: 5.6686046511627906, LR: 0.001
[2025-04-19 22:58:10] (step=0003212) Train Loss: 0.5409, Train Steps/Sec: 0.03, Epoch: 9.337209302325581, LR: 0.001
[2025-04-19 22:58:39] (step=0003213) Train Loss: 0.9417, Train Steps/Sec: 0.03, Epoch: 9.340116279069768, LR: 0.001
[2025-04-19 22:58:48] (step=0001951) Train Loss: 0.5735, Train Steps/Sec: 0.02, Epoch: 5.671511627906977, LR: 0.001
[2025-04-19 22:59:09] (step=0003214) Train Loss: 0.7330, Train Steps/Sec: 0.03, Epoch: 9.343023255813954, LR: 0.001
[2025-04-19 22:59:36] (step=0001952) Train Loss: 0.4883, Train Steps/Sec: 0.02, Epoch: 5.674418604651163, LR: 0.001
[2025-04-19 22:59:39] (step=0003215) Train Loss: 0.7407, Train Steps/Sec: 0.03, Epoch: 9.345930232558139, LR: 0.001
[2025-04-19 23:00:08] (step=0003216) Train Loss: 0.5833, Train Steps/Sec: 0.03, Epoch: 9.348837209302326, LR: 0.001
[2025-04-19 23:00:24] (step=0001953) Train Loss: 0.7928, Train Steps/Sec: 0.02, Epoch: 5.6773255813953485, LR: 0.001
[2025-04-19 23:00:38] (step=0003217) Train Loss: 0.6725, Train Steps/Sec: 0.03, Epoch: 9.351744186046512, LR: 0.001
[2025-04-19 23:01:08] (step=0003218) Train Loss: 0.6585, Train Steps/Sec: 0.03, Epoch: 9.354651162790697, LR: 0.001
[2025-04-19 23:01:13] (step=0001954) Train Loss: 0.6359, Train Steps/Sec: 0.02, Epoch: 5.680232558139535, LR: 0.001
[2025-04-19 23:01:38] (step=0003219) Train Loss: 0.4509, Train Steps/Sec: 0.03, Epoch: 9.357558139534884, LR: 0.001
[2025-04-19 23:02:01] (step=0001955) Train Loss: 0.7188, Train Steps/Sec: 0.02, Epoch: 5.683139534883721, LR: 0.001
[2025-04-19 23:02:07] (step=0003220) Train Loss: 0.6139, Train Steps/Sec: 0.03, Epoch: 9.36046511627907, LR: 0.001
[2025-04-19 23:02:37] (step=0003221) Train Loss: 0.8296, Train Steps/Sec: 0.03, Epoch: 9.363372093023257, LR: 0.001
[2025-04-19 23:02:49] (step=0001956) Train Loss: 0.6582, Train Steps/Sec: 0.02, Epoch: 5.686046511627907, LR: 0.001
[2025-04-19 23:03:07] (step=0003222) Train Loss: 0.8718, Train Steps/Sec: 0.03, Epoch: 9.366279069767442, LR: 0.001
[2025-04-19 23:03:36] (step=0003223) Train Loss: 0.9075, Train Steps/Sec: 0.03, Epoch: 9.369186046511627, LR: 0.001
[2025-04-19 23:03:37] (step=0001957) Train Loss: 0.6996, Train Steps/Sec: 0.02, Epoch: 5.688953488372093, LR: 0.001
[2025-04-19 23:04:06] (step=0003224) Train Loss: 0.5988, Train Steps/Sec: 0.03, Epoch: 9.372093023255815, LR: 0.001
[2025-04-19 23:04:26] (step=0001958) Train Loss: 0.4834, Train Steps/Sec: 0.02, Epoch: 5.691860465116279, LR: 0.001
[2025-04-19 23:04:36] (step=0003225) Train Loss: 0.8952, Train Steps/Sec: 0.03, Epoch: 9.375, LR: 0.001
[2025-04-19 23:05:05] (step=0003226) Train Loss: 0.8755, Train Steps/Sec: 0.03, Epoch: 9.377906976744185, LR: 0.001
[2025-04-19 23:05:14] (step=0001959) Train Loss: 0.4280, Train Steps/Sec: 0.02, Epoch: 5.694767441860465, LR: 0.001
[2025-04-19 23:05:35] (step=0003227) Train Loss: 0.4729, Train Steps/Sec: 0.03, Epoch: 9.380813953488373, LR: 0.001
[2025-04-19 23:06:02] (step=0001960) Train Loss: 0.5322, Train Steps/Sec: 0.02, Epoch: 5.6976744186046515, LR: 0.001
[2025-04-19 23:06:04] (step=0003228) Train Loss: 0.8323, Train Steps/Sec: 0.03, Epoch: 9.383720930232558, LR: 0.001
[2025-04-19 23:06:34] (step=0003229) Train Loss: 0.8287, Train Steps/Sec: 0.03, Epoch: 9.386627906976743, LR: 0.001
[2025-04-19 23:06:51] (step=0001961) Train Loss: 0.7364, Train Steps/Sec: 0.02, Epoch: 5.700581395348837, LR: 0.001
[2025-04-19 23:07:04] (step=0003230) Train Loss: 0.8114, Train Steps/Sec: 0.03, Epoch: 9.38953488372093, LR: 0.001
[2025-04-19 23:07:33] (step=0003231) Train Loss: 0.8067, Train Steps/Sec: 0.03, Epoch: 9.392441860465116, LR: 0.001
[2025-04-19 23:07:39] (step=0001962) Train Loss: 0.7631, Train Steps/Sec: 0.02, Epoch: 5.703488372093023, LR: 0.001
[2025-04-19 23:08:03] (step=0003232) Train Loss: 0.7607, Train Steps/Sec: 0.03, Epoch: 9.395348837209303, LR: 0.001
[2025-04-19 23:08:27] (step=0001963) Train Loss: 0.5390, Train Steps/Sec: 0.02, Epoch: 5.7063953488372094, LR: 0.001
[2025-04-19 23:08:33] (step=0003233) Train Loss: 0.4215, Train Steps/Sec: 0.03, Epoch: 9.398255813953488, LR: 0.001
[2025-04-19 23:09:03] (step=0003234) Train Loss: 0.6563, Train Steps/Sec: 0.03, Epoch: 9.401162790697674, LR: 0.001
[2025-04-19 23:09:16] (step=0001964) Train Loss: 0.6244, Train Steps/Sec: 0.02, Epoch: 5.709302325581396, LR: 0.001
[2025-04-19 23:09:32] (step=0003235) Train Loss: 0.7976, Train Steps/Sec: 0.03, Epoch: 9.404069767441861, LR: 0.001
[2025-04-19 23:10:02] (step=0003236) Train Loss: 0.5758, Train Steps/Sec: 0.03, Epoch: 9.406976744186046, LR: 0.001
[2025-04-19 23:10:04] (step=0001965) Train Loss: 0.6852, Train Steps/Sec: 0.02, Epoch: 5.712209302325581, LR: 0.001
[2025-04-19 23:10:32] (step=0003237) Train Loss: 0.8495, Train Steps/Sec: 0.03, Epoch: 9.409883720930232, LR: 0.001
[2025-04-19 23:10:52] (step=0001966) Train Loss: 0.4470, Train Steps/Sec: 0.02, Epoch: 5.715116279069767, LR: 0.001
[2025-04-19 23:11:01] (step=0003238) Train Loss: 0.7592, Train Steps/Sec: 0.03, Epoch: 9.412790697674419, LR: 0.001
[2025-04-19 23:11:31] (step=0003239) Train Loss: 0.6647, Train Steps/Sec: 0.03, Epoch: 9.415697674418604, LR: 0.001
[2025-04-19 23:11:40] (step=0001967) Train Loss: 0.8427, Train Steps/Sec: 0.02, Epoch: 5.718023255813954, LR: 0.001
[2025-04-19 23:12:01] (step=0003240) Train Loss: 0.5364, Train Steps/Sec: 0.03, Epoch: 9.418604651162791, LR: 0.001
[2025-04-19 23:12:29] (step=0001968) Train Loss: 0.4236, Train Steps/Sec: 0.02, Epoch: 5.72093023255814, LR: 0.001
[2025-04-19 23:12:31] (step=0003241) Train Loss: 0.8374, Train Steps/Sec: 0.03, Epoch: 9.421511627906977, LR: 0.001
[2025-04-19 23:13:00] (step=0003242) Train Loss: 0.6589, Train Steps/Sec: 0.03, Epoch: 9.424418604651162, LR: 0.001
[2025-04-19 23:13:17] (step=0001969) Train Loss: 0.7842, Train Steps/Sec: 0.02, Epoch: 5.723837209302325, LR: 0.001
[2025-04-19 23:13:30] (step=0003243) Train Loss: 0.5690, Train Steps/Sec: 0.03, Epoch: 9.42732558139535, LR: 0.001
[2025-04-19 23:14:00] (step=0003244) Train Loss: 0.7062, Train Steps/Sec: 0.03, Epoch: 9.430232558139535, LR: 0.001
[2025-04-19 23:14:05] (step=0001970) Train Loss: 0.8252, Train Steps/Sec: 0.02, Epoch: 5.726744186046512, LR: 0.001
[2025-04-19 23:14:30] (step=0003245) Train Loss: 0.8297, Train Steps/Sec: 0.03, Epoch: 9.43313953488372, LR: 0.001
[2025-04-19 23:14:54] (step=0001971) Train Loss: 0.6903, Train Steps/Sec: 0.02, Epoch: 5.729651162790698, LR: 0.001
[2025-04-19 23:14:59] (step=0003246) Train Loss: 0.5172, Train Steps/Sec: 0.03, Epoch: 9.436046511627907, LR: 0.001
[2025-04-19 23:15:29] (step=0003247) Train Loss: 0.6133, Train Steps/Sec: 0.03, Epoch: 9.438953488372093, LR: 0.001
[2025-04-19 23:15:42] (step=0001972) Train Loss: 0.7377, Train Steps/Sec: 0.02, Epoch: 5.732558139534884, LR: 0.001
[2025-04-19 23:15:59] (step=0003248) Train Loss: 0.8624, Train Steps/Sec: 0.03, Epoch: 9.44186046511628, LR: 0.001
[2025-04-19 23:16:28] (step=0003249) Train Loss: 0.8631, Train Steps/Sec: 0.03, Epoch: 9.444767441860465, LR: 0.001
[2025-04-19 23:16:30] (step=0001973) Train Loss: 0.4695, Train Steps/Sec: 0.02, Epoch: 5.7354651162790695, LR: 0.001
[2025-04-19 23:16:58] (step=0003250) Train Loss: 0.4979, Train Steps/Sec: 0.03, Epoch: 9.44767441860465, LR: 0.001
[2025-04-19 23:17:18] (step=0001974) Train Loss: 0.5795, Train Steps/Sec: 0.02, Epoch: 5.738372093023256, LR: 0.001
[2025-04-19 23:17:28] (step=0003251) Train Loss: 0.8629, Train Steps/Sec: 0.03, Epoch: 9.450581395348838, LR: 0.001
[2025-04-19 23:17:57] (step=0003252) Train Loss: 0.7546, Train Steps/Sec: 0.03, Epoch: 9.453488372093023, LR: 0.001
[2025-04-19 23:18:07] (step=0001975) Train Loss: 0.8078, Train Steps/Sec: 0.02, Epoch: 5.741279069767442, LR: 0.001
[2025-04-19 23:18:27] (step=0003253) Train Loss: 0.8602, Train Steps/Sec: 0.03, Epoch: 9.456395348837209, LR: 0.001
[2025-04-19 23:18:55] (step=0001976) Train Loss: 0.7719, Train Steps/Sec: 0.02, Epoch: 5.744186046511628, LR: 0.001
[2025-04-19 23:18:57] (step=0003254) Train Loss: 0.7293, Train Steps/Sec: 0.03, Epoch: 9.459302325581396, LR: 0.001
[2025-04-19 23:19:26] (step=0003255) Train Loss: 0.5177, Train Steps/Sec: 0.03, Epoch: 9.462209302325581, LR: 0.001
[2025-04-19 23:19:56] (step=0003256) Train Loss: 0.8174, Train Steps/Sec: 0.03, Epoch: 9.465116279069768, LR: 0.001