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| { | ||
| "PSNR": 26.482132252067476, | ||
| "SSIM": 0.9129375740015098, | ||
| "loss": 177.037353515625 | ||
| } |
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| { | ||
| "PSNR": 26.482132252067476, | ||
| "SSIM": 0.9129375740015098, | ||
| "loss": 177.037353515625 | ||
| } |
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| Original file line number | Diff line number | Diff line change |
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| 2018-06-14 09:43:04,705:INFO: Loading the datasets... | ||
| 2018-06-14 09:43:55,890:INFO: Loading the datasets... | ||
| 2018-06-14 09:43:55,894:INFO: - done. | ||
| 2018-06-14 09:44:18,297:INFO: Starting training for 100 epoch(s) | ||
| 2018-06-14 09:45:06,791:INFO: Loading the datasets... | ||
| 2018-06-14 09:45:06,796:INFO: - done. | ||
| 2018-06-14 09:45:10,684:INFO: Starting training for 100 epoch(s) | ||
| 2018-06-14 09:45:10,684:INFO: Epoch 1/100 | ||
| 2018-06-14 18:35:13,285:INFO: Loading the datasets... | ||
| 2018-06-14 18:35:13,443:INFO: - done. | ||
| 2018-06-14 18:35:34,087:INFO: Starting training for 100 epoch(s) | ||
| 2018-06-14 18:35:34,087:INFO: Epoch 1/100 | ||
| 2018-06-14 18:35:58,316:INFO: Loading the datasets... | ||
| 2018-06-14 18:35:58,321:INFO: - done. | ||
| 2018-06-14 18:36:02,017:INFO: Starting training for 100 epoch(s) | ||
| 2018-06-14 18:37:24,450:INFO: Loading the datasets... | ||
| 2018-06-14 18:37:24,454:INFO: - done. | ||
| 2018-06-14 18:37:28,235:INFO: Starting training for 100 epoch(s) | ||
| 2018-06-14 18:37:28,236:INFO: Epoch 1/100 | ||
| 2018-06-14 18:37:35,183:INFO: - Train metrics: PSNR: 5.779 ; SSIM: -0.057 ; loss: 18418.406 | ||
| 2018-06-14 18:37:35,740:INFO: - Eval metrics : PSNR: 12.395 ; SSIM: 0.472 ; loss: 4454.932 | ||
| 2018-06-14 18:37:37,133:INFO: - Found new best accuracy | ||
| 2018-06-14 18:37:37,134:INFO: Epoch 2/100 | ||
| 2018-06-14 18:37:43,001:INFO: - Train metrics: PSNR: 11.213 ; SSIM: 0.468 ; loss: 5693.250 | ||
| 2018-06-14 18:37:43,525:INFO: - Eval metrics : PSNR: 19.212 ; SSIM: 0.606 ; loss: 877.416 | ||
| 2018-06-14 18:37:43,529:INFO: - Found new best accuracy | ||
| 2018-06-14 18:37:43,530:INFO: Epoch 3/100 | ||
| 2018-06-14 18:37:49,282:INFO: - Train metrics: PSNR: 18.191 ; SSIM: 0.664 ; loss: 1055.449 | ||
| 2018-06-14 18:37:49,831:INFO: - Eval metrics : PSNR: 20.097 ; SSIM: 0.667 ; loss: 732.951 | ||
| 2018-06-14 18:37:49,836:INFO: - Found new best accuracy | ||
| 2018-06-14 18:37:49,837:INFO: Epoch 4/100 | ||
| 2018-06-14 18:37:55,710:INFO: - Train metrics: PSNR: 19.386 ; SSIM: 0.723 ; loss: 808.640 | ||
| 2018-06-14 18:37:56,256:INFO: - Eval metrics : PSNR: 21.298 ; SSIM: 0.759 ; loss: 560.457 | ||
| 2018-06-14 18:37:56,259:INFO: - Found new best accuracy | ||
| 2018-06-14 18:37:56,259:INFO: Epoch 5/100 | ||
| 2018-06-14 18:38:02,207:INFO: - Train metrics: PSNR: 20.216 ; SSIM: 0.789 ; loss: 671.608 | ||
| 2018-06-14 18:38:02,759:INFO: - Eval metrics : PSNR: 22.384 ; SSIM: 0.825 ; loss: 438.829 | ||
| 2018-06-14 18:38:02,762:INFO: - Found new best accuracy | ||
| 2018-06-14 18:38:02,763:INFO: Epoch 6/100 | ||
| 2018-06-14 18:38:08,616:INFO: - Train metrics: PSNR: 21.301 ; SSIM: 0.838 ; loss: 542.450 | ||
| 2018-06-14 18:38:09,170:INFO: - Eval metrics : PSNR: 23.446 ; SSIM: 0.865 ; loss: 343.356 | ||
| 2018-06-14 18:38:09,174:INFO: - Found new best accuracy | ||
| 2018-06-14 18:38:09,175:INFO: Epoch 7/100 | ||
| 2018-06-14 18:38:15,082:INFO: - Train metrics: PSNR: 22.454 ; SSIM: 0.875 ; loss: 404.027 | ||
| 2018-06-14 18:38:15,663:INFO: - Eval metrics : PSNR: 24.209 ; SSIM: 0.879 ; loss: 287.486 | ||
| 2018-06-14 18:38:15,668:INFO: - Found new best accuracy | ||
| 2018-06-14 18:38:15,668:INFO: Epoch 8/100 | ||
| 2018-06-14 18:38:21,502:INFO: - Train metrics: PSNR: 23.183 ; SSIM: 0.880 ; loss: 355.744 | ||
| 2018-06-14 18:38:22,071:INFO: - Eval metrics : PSNR: 24.443 ; SSIM: 0.882 ; loss: 271.275 | ||
| 2018-06-14 18:38:22,076:INFO: - Found new best accuracy | ||
| 2018-06-14 18:38:22,076:INFO: Epoch 9/100 | ||
| 2018-06-14 18:38:28,112:INFO: - Train metrics: PSNR: 23.313 ; SSIM: 0.884 ; loss: 332.123 | ||
| 2018-06-14 18:38:28,660:INFO: - Eval metrics : PSNR: 24.662 ; SSIM: 0.885 ; loss: 258.071 | ||
| 2018-06-14 18:38:28,665:INFO: - Found new best accuracy | ||
| 2018-06-14 18:38:28,666:INFO: Epoch 10/100 | ||
| 2018-06-14 18:38:34,599:INFO: - Train metrics: PSNR: 23.584 ; SSIM: 0.900 ; loss: 306.186 | ||
| 2018-06-14 18:38:35,215:INFO: - Eval metrics : PSNR: 24.848 ; SSIM: 0.887 ; loss: 247.122 | ||
| 2018-06-14 18:38:35,219:INFO: - Found new best accuracy | ||
| 2018-06-14 18:38:35,219:INFO: Epoch 11/100 | ||
| 2018-06-14 18:38:41,199:INFO: - Train metrics: PSNR: 24.238 ; SSIM: 0.909 ; loss: 266.016 | ||
| 2018-06-14 18:38:41,777:INFO: - Eval metrics : PSNR: 25.034 ; SSIM: 0.886 ; loss: 236.915 | ||
| 2018-06-14 18:38:41,782:INFO: - Found new best accuracy | ||
| 2018-06-14 18:38:41,782:INFO: Epoch 12/100 | ||
| 2018-06-14 18:38:47,786:INFO: - Train metrics: PSNR: 24.133 ; SSIM: 0.904 ; loss: 274.298 | ||
| 2018-06-14 18:38:48,360:INFO: - Eval metrics : PSNR: 25.242 ; SSIM: 0.889 ; loss: 226.096 | ||
| 2018-06-14 18:38:48,363:INFO: - Found new best accuracy | ||
| 2018-06-14 18:38:48,363:INFO: Epoch 13/100 | ||
| 2018-06-14 18:38:54,342:INFO: - Train metrics: PSNR: 24.112 ; SSIM: 0.894 ; loss: 278.087 | ||
| 2018-06-14 18:38:54,922:INFO: - Eval metrics : PSNR: 25.437 ; SSIM: 0.893 ; loss: 216.901 | ||
| 2018-06-14 18:38:54,925:INFO: - Found new best accuracy | ||
| 2018-06-14 18:38:54,926:INFO: Epoch 14/100 | ||
| 2018-06-14 18:39:00,922:INFO: - Train metrics: PSNR: 24.747 ; SSIM: 0.905 ; loss: 240.967 | ||
| 2018-06-14 18:39:01,499:INFO: - Eval metrics : PSNR: 25.621 ; SSIM: 0.896 ; loss: 209.105 | ||
| 2018-06-14 18:39:01,503:INFO: - Found new best accuracy | ||
| 2018-06-14 18:39:01,504:INFO: Epoch 15/100 | ||
| 2018-06-14 18:39:07,480:INFO: - Train metrics: PSNR: 24.816 ; SSIM: 0.908 ; loss: 236.064 | ||
| 2018-06-14 18:39:08,031:INFO: - Eval metrics : PSNR: 25.777 ; SSIM: 0.900 ; loss: 202.744 | ||
| 2018-06-14 18:39:08,036:INFO: - Found new best accuracy | ||
| 2018-06-14 18:39:08,036:INFO: Epoch 16/100 | ||
| 2018-06-14 18:39:13,913:INFO: - Train metrics: PSNR: 24.763 ; SSIM: 0.910 ; loss: 241.992 | ||
| 2018-06-14 18:39:14,459:INFO: - Eval metrics : PSNR: 25.908 ; SSIM: 0.902 ; loss: 197.411 | ||
| 2018-06-14 18:39:14,462:INFO: - Found new best accuracy | ||
| 2018-06-14 18:39:14,463:INFO: Epoch 17/100 | ||
| 2018-06-14 18:39:20,356:INFO: - Train metrics: PSNR: 25.224 ; SSIM: 0.917 ; loss: 209.938 | ||
| 2018-06-14 18:39:20,903:INFO: - Eval metrics : PSNR: 26.028 ; SSIM: 0.904 ; loss: 193.077 | ||
| 2018-06-14 18:39:20,907:INFO: - Found new best accuracy | ||
| 2018-06-14 18:39:20,908:INFO: Epoch 18/100 | ||
| 2018-06-14 18:39:26,777:INFO: - Train metrics: PSNR: 26.010 ; SSIM: 0.924 ; loss: 184.768 | ||
| 2018-06-14 18:39:27,298:INFO: - Eval metrics : PSNR: 26.130 ; SSIM: 0.905 ; loss: 189.269 | ||
| 2018-06-14 18:39:27,301:INFO: - Found new best accuracy | ||
| 2018-06-14 18:39:27,302:INFO: Epoch 19/100 | ||
| 2018-06-14 18:39:33,177:INFO: - Train metrics: PSNR: 25.468 ; SSIM: 0.920 ; loss: 204.350 | ||
| 2018-06-14 18:39:33,763:INFO: - Eval metrics : PSNR: 26.211 ; SSIM: 0.907 ; loss: 186.362 | ||
| 2018-06-14 18:39:33,767:INFO: - Found new best accuracy | ||
| 2018-06-14 18:39:33,768:INFO: Epoch 20/100 | ||
| 2018-06-14 18:39:39,776:INFO: - Train metrics: PSNR: 25.437 ; SSIM: 0.920 ; loss: 215.689 | ||
| 2018-06-14 18:39:40,335:INFO: - Eval metrics : PSNR: 26.300 ; SSIM: 0.909 ; loss: 183.296 | ||
| 2018-06-14 18:39:40,338:INFO: - Found new best accuracy | ||
| 2018-06-14 18:39:40,339:INFO: Epoch 21/100 | ||
| 2018-06-14 18:39:46,307:INFO: - Train metrics: PSNR: 24.910 ; SSIM: 0.908 ; loss: 235.757 | ||
| 2018-06-14 18:39:46,863:INFO: - Eval metrics : PSNR: 26.344 ; SSIM: 0.910 ; loss: 181.728 | ||
| 2018-06-14 18:39:46,867:INFO: - Found new best accuracy | ||
| 2018-06-14 18:39:46,867:INFO: Epoch 22/100 | ||
| 2018-06-14 18:39:52,925:INFO: - Train metrics: PSNR: 25.773 ; SSIM: 0.927 ; loss: 195.603 | ||
| 2018-06-14 18:39:53,537:INFO: - Eval metrics : PSNR: 26.416 ; SSIM: 0.911 ; loss: 179.365 | ||
| 2018-06-14 18:39:53,542:INFO: - Found new best accuracy | ||
| 2018-06-14 18:39:53,543:INFO: Epoch 23/100 | ||
| 2018-06-14 18:39:59,449:INFO: - Train metrics: PSNR: 26.010 ; SSIM: 0.930 ; loss: 180.495 | ||
| 2018-06-14 18:40:00,045:INFO: - Eval metrics : PSNR: 26.463 ; SSIM: 0.912 ; loss: 177.717 | ||
| 2018-06-14 18:40:00,049:INFO: - Found new best accuracy | ||
| 2018-06-14 18:40:00,050:INFO: Epoch 24/100 | ||
| 2018-06-14 18:40:06,051:INFO: - Train metrics: PSNR: 25.929 ; SSIM: 0.928 ; loss: 188.284 | ||
| 2018-06-14 18:40:06,651:INFO: - Eval metrics : PSNR: 26.482 ; SSIM: 0.913 ; loss: 177.037 | ||
| 2018-06-14 18:40:06,655:INFO: - Found new best accuracy | ||
| 2018-06-14 18:40:06,655:INFO: Epoch 25/100 |
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experiments/learning_rate/learning_rate_0.0003/metrics_val_best_weights.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,5 @@ | ||
| { | ||
| "PSNR": 15.166788126748827, | ||
| "SSIM": 0.38552783882292974, | ||
| "loss": 2038.46630859375 | ||
| } |
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experiments/learning_rate/learning_rate_0.0003/metrics_val_last_weights.json
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,5 @@ | ||
| { | ||
| "PSNR": 15.166788126748827, | ||
| "SSIM": 0.38552783882292974, | ||
| "loss": 2038.46630859375 | ||
| } |
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| { | ||
| "learning_rate": 0.0003, | ||
| "batch_size": 32, | ||
| "num_epochs": 10, | ||
| "dropout_rate": 0.8, | ||
| "num_channels": 32, | ||
| "save_summary_steps": 100, | ||
| "num_workers": 4 | ||
| } |
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| 2018-06-15 09:53:46,493:INFO: Loading the datasets... | ||
| 2018-06-15 09:53:46,541:INFO: - done. | ||
| 2018-06-15 09:54:09,385:INFO: Starting training for 10 epoch(s) | ||
| 2018-06-15 09:54:09,402:INFO: Epoch 1/10 | ||
| 2018-06-15 09:54:14,673:INFO: - Train metrics: PSNR: 4.972 ; SSIM: -0.015 ; loss: 22105.229 | ||
| 2018-06-15 09:54:15,245:INFO: - Eval metrics : PSNR: 15.167 ; SSIM: 0.386 ; loss: 2038.466 | ||
| 2018-06-15 09:54:16,777:INFO: - Found new best accuracy | ||
| 2018-06-15 09:54:16,778:INFO: Epoch 2/10 | ||
| 2018-06-15 10:01:09,968:INFO: Loading the datasets... | ||
| 2018-06-15 10:01:09,972:INFO: - done. | ||
| 2018-06-15 10:01:13,836:INFO: Starting training for 10 epoch(s) | ||
| 2018-06-15 10:01:13,837:INFO: Epoch 1/10 |
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| { | ||
| "learning_rate": 1e-3, | ||
| "batch_size": 32, | ||
| "num_epochs": 10, | ||
| "dropout_rate":0.8, | ||
| "num_channels": 32, | ||
| "save_summary_steps": 100, | ||
| "num_workers": 4 | ||
| } |
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