| nohup: ignoring input |
| ----------------- Options --------------- |
| arch: CLIP:ViT-L/14 |
| batch_size: 32 [default: 10] |
| beta1: 0.9 |
| blur_sig: 0 |
| checkpoints_dir: ./checkpoints |
| class_bal: False |
| data_label: train |
| epoch: 50 [default: 100] |
| fake_list_path: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake |
| fine_tune: False |
| fix_backbone: False |
| fix_encoder: False |
| gpu_ids: 1 |
| isTrain: True [default: None] |
| jpg_method: cv2 |
| jpg_qual: 75 |
| loss_freq: 100 |
| lr: 2e-09 |
| name: lipfd_train [default: experiment_name] |
| num_threads: 0 |
| optim: adam |
| pretrained_model: ./checkpoints/experiment_name/model_epoch_29.pth |
| real_list_path: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/0_real |
| rz_interp: bilinear |
| save_epoch_freq: 1 |
| serial_batches: False |
| suffix: |
| train_split: train |
| val_split: val |
| weight_decay: 0.0001 |
| ----------------- End ------------------- |
| Length of data loader: 1483 |
| Length of val loader: 189 |
| epoch: 0 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 109.3497085571289 step: 100 |
| Train loss: 115.77810668945312 step: 200 |
| Train loss: 87.44400787353516 step: 300 |
| Train loss: 121.6205062866211 step: 400 |
| Train loss: 98.32791137695312 step: 500 |
| Train loss: 105.16156005859375 step: 600 |
| Train loss: 126.1203384399414 step: 700 |
| Train loss: 97.93379211425781 step: 800 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 115.77715301513672 step: 900 |
| Train loss: 102.43711853027344 step: 1000 |
| Train loss: 98.23110961914062 step: 1100 |
| Train loss: 107.89041137695312 step: 1200 |
| Train loss: 121.88636779785156 step: 1300 |
| Train loss: 93.9386978149414 step: 1400 |
| saving the model at the end of epoch 0 |
| validating... |
| (Val @ epoch 0) acc: 0.5619205298013245 ap: 0.5358050929646152 fpr: 0.5423841059602649 fnr: 0.3337748344370861 |
| epoch: 1 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 80.58499145507812 step: 1500 |
| Train loss: 93.76890563964844 step: 1600 |
| Train loss: 99.49382019042969 step: 1700 |
| Train loss: 114.85481262207031 step: 1800 |
| Train loss: 111.15044403076172 step: 1900 |
| Train loss: 98.20150756835938 step: 2000 |
| Train loss: 108.94288635253906 step: 2100 |
| Train loss: 97.31046295166016 step: 2200 |
| Train loss: 111.14601135253906 step: 2300 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 99.89578247070312 step: 2400 |
| Train loss: 104.52080535888672 step: 2500 |
| Train loss: 102.98640441894531 step: 2600 |
| Train loss: 110.73353576660156 step: 2700 |
| Train loss: 110.9141616821289 step: 2800 |
| Train loss: 102.97096252441406 step: 2900 |
| saving the model at the end of epoch 1 |
| validating... |
| (Val @ epoch 1) acc: 0.5668874172185431 ap: 0.5403939443490584 fpr: 0.6112582781456953 fnr: 0.25496688741721857 |
| epoch: 2 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 103.4789810180664 step: 3000 |
| Train loss: 103.80142211914062 step: 3100 |
| Train loss: 104.60528564453125 step: 3200 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 104.47315979003906 step: 3300 |
| Train loss: 117.82144165039062 step: 3400 |
| Train loss: 107.26661682128906 step: 3500 |
| Train loss: 107.14081573486328 step: 3600 |
| Train loss: 120.1827163696289 step: 3700 |
| Train loss: 106.52513122558594 step: 3800 |
| Train loss: 113.37628173828125 step: 3900 |
| Train loss: 95.05484008789062 step: 4000 |
| Train loss: 103.19268035888672 step: 4100 |
| Train loss: 98.6756591796875 step: 4200 |
| Train loss: 95.58908081054688 step: 4300 |
| Train loss: 109.18098449707031 step: 4400 |
| saving the model at the end of epoch 2 |
| validating... |
| (Val @ epoch 2) acc: 0.7384105960264901 ap: 0.6719250858323706 fpr: 0.22251655629139072 fnr: 0.30066225165562915 |
| epoch: 3 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 95.00332641601562 step: 4500 |
| Train loss: 99.6748046875 step: 4600 |
| Train loss: 92.31637573242188 step: 4700 |
| Train loss: 116.52984619140625 step: 4800 |
| Train loss: 127.14207458496094 step: 4900 |
| Train loss: 109.15467834472656 step: 5000 |
| Train loss: 116.30558776855469 step: 5100 |
| Train loss: 109.86700439453125 step: 5200 |
| Train loss: 109.25109100341797 step: 5300 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 104.51777648925781 step: 5400 |
| Train loss: 113.69713592529297 step: 5500 |
| Train loss: 111.95301818847656 step: 5600 |
| Train loss: 103.20728302001953 step: 5700 |
| Train loss: 94.30152130126953 step: 5800 |
| Train loss: 98.17637634277344 step: 5900 |
| saving the model at the end of epoch 3 |
| validating... |
| (Val @ epoch 3) acc: 0.7683774834437086 ap: 0.7047433801685381 fpr: 0.22119205298013245 fnr: 0.24205298013245033 |
| epoch: 4 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 105.40957641601562 step: 6000 |
| Train loss: 90.19412231445312 step: 6100 |
| Train loss: 119.46781158447266 step: 6200 |
| Train loss: 111.60482788085938 step: 6300 |
| Train loss: 91.49681854248047 step: 6400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 105.05416870117188 step: 6500 |
| Train loss: 93.8360595703125 step: 6600 |
| Train loss: 113.2322998046875 step: 6700 |
| Train loss: 94.4849853515625 step: 6800 |
| Train loss: 104.68202209472656 step: 6900 |
| Train loss: 109.71572875976562 step: 7000 |
| Train loss: 101.18453216552734 step: 7100 |
| Train loss: 110.65788269042969 step: 7200 |
| Train loss: 94.93778991699219 step: 7300 |
| Train loss: 98.08305358886719 step: 7400 |
| saving the model at the end of epoch 4 |
| validating... |
| (Val @ epoch 4) acc: 0.8084437086092715 ap: 0.7422743564712114 fpr: 0.15132450331125827 fnr: 0.23178807947019867 |
| epoch: 5 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 119.11969757080078 step: 7500 |
| Train loss: 101.54550170898438 step: 7600 |
| Train loss: 125.54096221923828 step: 7700 |
| Train loss: 107.59408569335938 step: 7800 |
| Train loss: 90.32762145996094 step: 7900 |
| Train loss: 105.04289245605469 step: 8000 |
| Train loss: 118.83558654785156 step: 8100 |
| Train loss: 108.56706237792969 step: 8200 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 79.27407836914062 step: 8300 |
| Train loss: 78.02943420410156 step: 8400 |
| Train loss: 100.42111206054688 step: 8500 |
| Train loss: 111.81028747558594 step: 8600 |
| Train loss: 87.120849609375 step: 8700 |
| Train loss: 95.80047607421875 step: 8800 |
| saving the model at the end of epoch 5 |
| validating... |
| (Val @ epoch 5) acc: 0.8337748344370861 ap: 0.7723560796362805 fpr: 0.1380794701986755 fnr: 0.1943708609271523 |
| epoch: 6 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 101.03681945800781 step: 8900 |
| Train loss: 100.72366333007812 step: 9000 |
| Train loss: 100.6364517211914 step: 9100 |
| Train loss: 92.65306854248047 step: 9200 |
| Train loss: 90.16053771972656 step: 9300 |
| Train loss: 96.73390197753906 step: 9400 |
| Train loss: 106.46004486083984 step: 9500 |
| Train loss: 103.21466064453125 step: 9600 |
| Train loss: 116.55767822265625 step: 9700 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 85.55316162109375 step: 9800 |
| Train loss: 96.09256744384766 step: 9900 |
| Train loss: 102.47693634033203 step: 10000 |
| Train loss: 81.52528381347656 step: 10100 |
| Train loss: 108.37000274658203 step: 10200 |
| Train loss: 103.06450653076172 step: 10300 |
| saving the model at the end of epoch 6 |
| validating... |
| (Val @ epoch 6) acc: 0.8528145695364239 ap: 0.7921117857965466 fpr: 0.10927152317880795 fnr: 0.18509933774834436 |
| epoch: 7 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 98.67803955078125 step: 10400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 76.78703308105469 step: 10500 |
| Train loss: 85.51482391357422 step: 10600 |
| Train loss: 92.47024536132812 step: 10700 |
| Train loss: 114.7383804321289 step: 10800 |
| Train loss: 102.96634674072266 step: 10900 |
| Train loss: 87.48692321777344 step: 11000 |
| Train loss: 90.52207946777344 step: 11100 |
| Train loss: 111.1252212524414 step: 11200 |
| Train loss: 87.54425811767578 step: 11300 |
| Train loss: 105.98014831542969 step: 11400 |
| Train loss: 90.05438232421875 step: 11500 |
| Train loss: 113.97802734375 step: 11600 |
| Train loss: 102.34657287597656 step: 11700 |
| Train loss: 84.95005798339844 step: 11800 |
| saving the model at the end of epoch 7 |
| validating... |
| (Val @ epoch 7) acc: 0.8683774834437086 ap: 0.8040541849307241 fpr: 0.06556291390728476 fnr: 0.19768211920529802 |
| epoch: 8 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 85.20083618164062 step: 11900 |
| Train loss: 87.54823303222656 step: 12000 |
| Train loss: 113.52896881103516 step: 12100 |
| Train loss: 129.43238830566406 step: 12200 |
| Train loss: 114.55952453613281 step: 12300 |
| Train loss: 103.117431640625 step: 12400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 91.63424682617188 step: 12500 |
| Train loss: 95.65892028808594 step: 12600 |
| Train loss: 90.61808776855469 step: 12700 |
| Train loss: 96.25401306152344 step: 12800 |
| Train loss: 97.88920593261719 step: 12900 |
| Train loss: 86.9149398803711 step: 13000 |
| Train loss: 102.21635437011719 step: 13100 |
| Train loss: 109.04608917236328 step: 13200 |
| Train loss: 125.03392028808594 step: 13300 |
| saving the model at the end of epoch 8 |
| validating... |
| (Val @ epoch 8) acc: 0.8783112582781457 ap: 0.8186793368354413 fpr: 0.06920529801324503 fnr: 0.1741721854304636 |
| epoch: 9 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 82.39558410644531 step: 13400 |
| Train loss: 95.42220306396484 step: 13500 |
| Train loss: 86.77865600585938 step: 13600 |
| Train loss: 85.80287170410156 step: 13700 |
| Train loss: 90.50550842285156 step: 13800 |
| Train loss: 117.10944366455078 step: 13900 |
| Train loss: 101.46859741210938 step: 14000 |
| Train loss: 129.0438995361328 step: 14100 |
| Train loss: 91.16072845458984 step: 14200 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 101.34473419189453 step: 14300 |
| Train loss: 111.5604019165039 step: 14400 |
| Train loss: 113.9402847290039 step: 14500 |
| Train loss: 102.88592529296875 step: 14600 |
| Train loss: 91.57630920410156 step: 14700 |
| Train loss: 105.73886108398438 step: 14800 |
| saving the model at the end of epoch 9 |
| validating... |
| (Val @ epoch 9) acc: 0.8816225165562914 ap: 0.8196018733092221 fpr: 0.052980132450331126 fnr: 0.1837748344370861 |
| epoch: 10 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 97.87602233886719 step: 14900 |
| Train loss: 95.77507781982422 step: 15000 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 95.00900268554688 step: 15100 |
| Train loss: 107.40650939941406 step: 15200 |
| Train loss: 96.98809814453125 step: 15300 |
| Train loss: 112.39302062988281 step: 15400 |
| Train loss: 88.38487243652344 step: 15500 |
| Train loss: 101.34196472167969 step: 15600 |
| Train loss: 102.19132995605469 step: 15700 |
| Train loss: 113.40335845947266 step: 15800 |
| Train loss: 89.87989044189453 step: 15900 |
| Train loss: 104.63227081298828 step: 16000 |
| Train loss: 98.57897186279297 step: 16100 |
| Train loss: 86.28732299804688 step: 16200 |
| Train loss: 101.2440185546875 step: 16300 |
| saving the model at the end of epoch 10 |
| validating... |
| (Val @ epoch 10) acc: 0.8892384105960265 ap: 0.8295498309705669 fpr: 0.04933774834437086 fnr: 0.17218543046357615 |
| epoch: 11 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 108.46096801757812 step: 16400 |
| Train loss: 105.14181518554688 step: 16500 |
| Train loss: 93.53913116455078 step: 16600 |
| Train loss: 116.83553314208984 step: 16700 |
| Train loss: 90.81753540039062 step: 16800 |
| Train loss: 125.16203308105469 step: 16900 |
| Train loss: 93.55419921875 step: 17000 |
| Train loss: 86.73138427734375 step: 17100 |
| Train loss: 94.1943588256836 step: 17200 |
| Train loss: 82.45521545410156 step: 17300 |
| Train loss: 96.87867736816406 step: 17400 |
| Train loss: 79.26760864257812 step: 17500 |
| Train loss: 99.71473693847656 step: 17600 |
| Train loss: 101.4261474609375 step: 17700 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| saving the model at the end of epoch 11 |
| validating... |
| (Val @ epoch 11) acc: 0.895364238410596 ap: 0.8384289589972633 fpr: 0.04933774834437086 fnr: 0.15993377483443708 |
| epoch: 12 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 99.41751861572266 step: 17800 |
| Train loss: 100.92225646972656 step: 17900 |
| Train loss: 100.92166900634766 step: 18000 |
| Train loss: 80.60731506347656 step: 18100 |
| Train loss: 84.21905517578125 step: 18200 |
| Train loss: 99.12002563476562 step: 18300 |
| Train loss: 97.47544860839844 step: 18400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 95.96418762207031 step: 18500 |
| Train loss: 92.93983459472656 step: 18600 |
| Train loss: 102.73402404785156 step: 18700 |
| Train loss: 115.28011322021484 step: 18800 |
| Train loss: 78.9912109375 step: 18900 |
| Train loss: 96.33280944824219 step: 19000 |
| Train loss: 86.17536926269531 step: 19100 |
| Train loss: 99.39048767089844 step: 19200 |
| saving the model at the end of epoch 12 |
| validating... |
| (Val @ epoch 12) acc: 0.8948675496688742 ap: 0.8358056681580142 fpr: 0.041721854304635764 fnr: 0.16854304635761588 |
| epoch: 13 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 97.01101684570312 step: 19300 |
| Train loss: 99.92607116699219 step: 19400 |
| Train loss: 94.14410400390625 step: 19500 |
| Train loss: 108.56205749511719 step: 19600 |
| Train loss: 100.33192443847656 step: 19700 |
| Train loss: 119.96015167236328 step: 19800 |
| Train loss: 100.62596130371094 step: 19900 |
| Train loss: 89.90122985839844 step: 20000 |
| Train loss: 104.45906066894531 step: 20100 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 109.33349609375 step: 20200 |
| Train loss: 104.80198669433594 step: 20300 |
| Train loss: 101.63945770263672 step: 20400 |
| Train loss: 93.26719665527344 step: 20500 |
| Train loss: 89.44151306152344 step: 20600 |
| Train loss: 88.83653259277344 step: 20700 |
| saving the model at the end of epoch 13 |
| validating... |
| (Val @ epoch 13) acc: 0.9021523178807948 ap: 0.8468278718816762 fpr: 0.04304635761589404 fnr: 0.15264900662251657 |
| epoch: 14 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 92.56515502929688 step: 20800 |
| Train loss: 112.10537719726562 step: 20900 |
| Train loss: 92.1612548828125 step: 21000 |
| Train loss: 100.8740234375 step: 21100 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 89.64739227294922 step: 21200 |
| Train loss: 105.49078369140625 step: 21300 |
| Train loss: 81.24507904052734 step: 21400 |
| Train loss: 93.61893463134766 step: 21500 |
| Train loss: 105.0328369140625 step: 21600 |
| Train loss: 81.52472686767578 step: 21700 |
| Train loss: 82.63867950439453 step: 21800 |
| Train loss: 93.63219451904297 step: 21900 |
| Train loss: 88.57166290283203 step: 22000 |
| Train loss: 95.90657806396484 step: 22100 |
| Train loss: 103.16031646728516 step: 22200 |
| saving the model at the end of epoch 14 |
| validating... |
| (Val @ epoch 14) acc: 0.9026490066225166 ap: 0.8462686098988782 fpr: 0.0380794701986755 fnr: 0.1566225165562914 |
| epoch: 15 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 114.83440399169922 step: 22300 |
| Train loss: 108.83474731445312 step: 22400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 88.62757873535156 step: 22500 |
| Train loss: 96.61287689208984 step: 22600 |
| Train loss: 115.21736145019531 step: 22700 |
| Train loss: 89.04222106933594 step: 22800 |
| Train loss: 88.95414733886719 step: 22900 |
| Train loss: 85.84208679199219 step: 23000 |
| Train loss: 114.43083190917969 step: 23100 |
| Train loss: 111.42693328857422 step: 23200 |
| Train loss: 101.97541809082031 step: 23300 |
| Train loss: 103.68124389648438 step: 23400 |
| Train loss: 88.98529052734375 step: 23500 |
| Train loss: 88.13697814941406 step: 23600 |
| Train loss: 96.48775482177734 step: 23700 |
| saving the model at the end of epoch 15 |
| validating... |
| (Val @ epoch 15) acc: 0.904635761589404 ap: 0.8482638373065826 fpr: 0.03443708609271523 fnr: 0.1562913907284768 |
| epoch: 16 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 82.79197692871094 step: 23800 |
| Train loss: 92.29851531982422 step: 23900 |
| Train loss: 101.32656860351562 step: 24000 |
| Train loss: 82.86312866210938 step: 24100 |
| Train loss: 99.44190979003906 step: 24200 |
| Train loss: 114.21587371826172 step: 24300 |
| Train loss: 93.10935974121094 step: 24400 |
| Train loss: 110.8064193725586 step: 24500 |
| Train loss: 107.86590576171875 step: 24600 |
| Train loss: 104.00509643554688 step: 24700 |
| Train loss: 105.76403045654297 step: 24800 |
| Train loss: 107.95489501953125 step: 24900 |
| Train loss: 103.10502624511719 step: 25000 |
| Train loss: 96.59196472167969 step: 25100 |
| Train loss: 99.68357849121094 step: 25200 |
| saving the model at the end of epoch 16 |
| validating... |
| (Val @ epoch 16) acc: 0.9076158940397351 ap: 0.852086660247679 fpr: 0.032119205298013244 fnr: 0.15264900662251657 |
| epoch: 17 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 92.31273651123047 step: 25300 |
| Train loss: 84.96509552001953 step: 25400 |
| Train loss: 86.664306640625 step: 25500 |
| Train loss: 108.47801208496094 step: 25600 |
| Train loss: 84.15589904785156 step: 25700 |
| Train loss: 106.80313873291016 step: 25800 |
| Train loss: 100.79236602783203 step: 25900 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 103.33578491210938 step: 26000 |
| Train loss: 88.80908966064453 step: 26100 |
| Train loss: 99.35258483886719 step: 26200 |
| Train loss: 92.63272094726562 step: 26300 |
| Train loss: 99.22555541992188 step: 26400 |
| Train loss: 81.28981018066406 step: 26500 |
| Train loss: 92.94877624511719 step: 26600 |
| saving the model at the end of epoch 17 |
| validating... |
| (Val @ epoch 17) acc: 0.9135761589403973 ap: 0.8610761985014281 fpr: 0.032119205298013244 fnr: 0.14072847682119205 |
| epoch: 18 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 104.60865783691406 step: 26700 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 88.01316833496094 step: 26800 |
| Train loss: 95.64061737060547 step: 26900 |
| Train loss: 96.63502502441406 step: 27000 |
| Train loss: 97.56912231445312 step: 27100 |
| Train loss: 96.4901123046875 step: 27200 |
| Train loss: 96.18511962890625 step: 27300 |
| Train loss: 85.32862854003906 step: 27400 |
| Train loss: 102.43637084960938 step: 27500 |
| Train loss: 101.28318786621094 step: 27600 |
| Train loss: 110.92155456542969 step: 27700 |
| Train loss: 92.72991943359375 step: 27800 |
| Train loss: 100.44973754882812 step: 27900 |
| Train loss: 99.80447387695312 step: 28000 |
| Train loss: 98.5571517944336 step: 28100 |
| saving the model at the end of epoch 18 |
| validating... |
| (Val @ epoch 18) acc: 0.9124172185430464 ap: 0.8580459269467713 fpr: 0.02748344370860927 fnr: 0.147682119205298 |
| epoch: 19 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 89.30645751953125 step: 28200 |
| Train loss: 95.78688049316406 step: 28300 |
| Train loss: 100.19153594970703 step: 28400 |
| Train loss: 89.90309143066406 step: 28500 |
| Train loss: 103.15199279785156 step: 28600 |
| Train loss: 95.88514709472656 step: 28700 |
| Train loss: 77.65068817138672 step: 28800 |
| Train loss: 95.78532409667969 step: 28900 |
| Train loss: 91.47555541992188 step: 29000 |
| Train loss: 102.67447662353516 step: 29100 |
| Train loss: 85.68608093261719 step: 29200 |
| Train loss: 81.28839111328125 step: 29300 |
| Train loss: 87.3929672241211 step: 29400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 127.06197357177734 step: 29500 |
| Train loss: 88.83319854736328 step: 29600 |
| saving the model at the end of epoch 19 |
| validating... |
| (Val @ epoch 19) acc: 0.9149006622516557 ap: 0.8619897276184927 fpr: 0.028145695364238412 fnr: 0.14205298013245032 |
| epoch: 20 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 103.29493713378906 step: 29700 |
| Train loss: 95.25360107421875 step: 29800 |
| Train loss: 95.465576171875 step: 29900 |
| Train loss: 87.75604248046875 step: 30000 |
| Train loss: 92.74017333984375 step: 30100 |
| Train loss: 86.07817077636719 step: 30200 |
| Train loss: 98.4383544921875 step: 30300 |
| Train loss: 95.09693908691406 step: 30400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 93.51901245117188 step: 30500 |
| Train loss: 93.16593933105469 step: 30600 |
| Train loss: 94.72856140136719 step: 30700 |
| Train loss: 96.36589050292969 step: 30800 |
| Train loss: 81.53694152832031 step: 30900 |
| Train loss: 111.12959289550781 step: 31000 |
| Train loss: 91.42665100097656 step: 31100 |
| saving the model at the end of epoch 20 |
| validating... |
| (Val @ epoch 20) acc: 0.9147350993377483 ap: 0.8610072160162654 fpr: 0.025496688741721854 fnr: 0.14503311258278145 |
| epoch: 21 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 98.46931457519531 step: 31200 |
| Train loss: 88.39454650878906 step: 31300 |
| Train loss: 86.25625610351562 step: 31400 |
| Train loss: 91.50813293457031 step: 31500 |
| Train loss: 103.72244262695312 step: 31600 |
| Train loss: 96.97940063476562 step: 31700 |
| Train loss: 129.3763427734375 step: 31800 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 87.54872131347656 step: 31900 |
| Train loss: 110.87643432617188 step: 32000 |
| Train loss: 94.82489013671875 step: 32100 |
| Train loss: 91.09426879882812 step: 32200 |
| Train loss: 141.98573303222656 step: 32300 |
| Train loss: 91.30592346191406 step: 32400 |
| Train loss: 91.48355102539062 step: 32500 |
| Train loss: 84.7899169921875 step: 32600 |
| saving the model at the end of epoch 21 |
| validating... |
| (Val @ epoch 21) acc: 0.9175496688741722 ap: 0.8655735635765534 fpr: 0.026490066225165563 fnr: 0.13841059602649006 |
| epoch: 22 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 81.1429443359375 step: 32700 |
| Train loss: 80.49852752685547 step: 32800 |
| Train loss: 103.57378387451172 step: 32900 |
| Train loss: 115.09785461425781 step: 33000 |
| Train loss: 100.0188980102539 step: 33100 |
| Train loss: 117.90495300292969 step: 33200 |
| Train loss: 115.60507202148438 step: 33300 |
| Train loss: 95.4669189453125 step: 33400 |
| Train loss: 92.07056427001953 step: 33500 |
| Train loss: 94.75532531738281 step: 33600 |
| Train loss: 104.36040496826172 step: 33700 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 102.83029174804688 step: 33800 |
| Train loss: 107.6717529296875 step: 33900 |
| Train loss: 95.68386840820312 step: 34000 |
| Train loss: 99.3794174194336 step: 34100 |
| saving the model at the end of epoch 22 |
| validating... |
| (Val @ epoch 22) acc: 0.9193708609271524 ap: 0.8676197734205308 fpr: 0.02384105960264901 fnr: 0.13741721854304637 |
| epoch: 23 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 107.59786987304688 step: 34200 |
| Train loss: 114.41547393798828 step: 34300 |
| Train loss: 98.87919616699219 step: 34400 |
| Train loss: 103.96318054199219 step: 34500 |
| Train loss: 100.78030395507812 step: 34600 |
| Train loss: 102.7208480834961 step: 34700 |
| Train loss: 107.3170166015625 step: 34800 |
| Train loss: 70.77960205078125 step: 34900 |
| Train loss: 107.55149841308594 step: 35000 |
| Train loss: 95.44448852539062 step: 35100 |
| Train loss: 94.88804626464844 step: 35200 |
| Train loss: 86.25000762939453 step: 35300 |
| Train loss: 102.06913757324219 step: 35400 |
| Train loss: 92.03421020507812 step: 35500 |
| saving the model at the end of epoch 23 |
| validating... |
| (Val @ epoch 23) acc: 0.9218543046357616 ap: 0.871453551393735 fpr: 0.02384105960264901 fnr: 0.13245033112582782 |
| epoch: 24 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 101.97744750976562 step: 35600 |
| Train loss: 81.46246337890625 step: 35700 |
| Train loss: 94.9013671875 step: 35800 |
| Train loss: 91.16714477539062 step: 35900 |
| Train loss: 95.36466979980469 step: 36000 |
| Train loss: 106.69194030761719 step: 36100 |
| Train loss: 95.71537780761719 step: 36200 |
| Train loss: 95.00849914550781 step: 36300 |
| Train loss: 104.0283203125 step: 36400 |
| Train loss: 98.74684143066406 step: 36500 |
| Train loss: 102.49458312988281 step: 36600 |
| Train loss: 77.29928588867188 step: 36700 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 98.31216430664062 step: 36800 |
| Train loss: 99.293212890625 step: 36900 |
| Train loss: 83.95875549316406 step: 37000 |
| saving the model at the end of epoch 24 |
| validating... |
| (Val @ epoch 24) acc: 0.919205298013245 ap: 0.8667115617611424 fpr: 0.02152317880794702 fnr: 0.1400662251655629 |
| epoch: 25 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 106.17198181152344 step: 37100 |
| Train loss: 95.02005004882812 step: 37200 |
| Train loss: 95.54281616210938 step: 37300 |
| Train loss: 85.25819396972656 step: 37400 |
| Train loss: 95.11949157714844 step: 37500 |
| Train loss: 99.20923614501953 step: 37600 |
| Train loss: 107.23602294921875 step: 37700 |
| Train loss: 87.11701965332031 step: 37800 |
| Train loss: 94.58992004394531 step: 37900 |
| Train loss: 121.3162841796875 step: 38000 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 91.7796401977539 step: 38100 |
| Train loss: 107.27289581298828 step: 38200 |
| Train loss: 94.27934265136719 step: 38300 |
| Train loss: 95.79428100585938 step: 38400 |
| Train loss: 103.22969055175781 step: 38500 |
| saving the model at the end of epoch 25 |
| validating... |
| (Val @ epoch 25) acc: 0.9216887417218543 ap: 0.8704344488944431 fpr: 0.02119205298013245 fnr: 0.13543046357615893 |
| epoch: 26 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 96.3729476928711 step: 38600 |
| Train loss: 98.09357452392578 step: 38700 |
| Train loss: 95.33633422851562 step: 38800 |
| Train loss: 108.59393310546875 step: 38900 |
| Train loss: 90.77816772460938 step: 39000 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 106.17906188964844 step: 39100 |
| Train loss: 98.71460723876953 step: 39200 |
| Train loss: 107.44701385498047 step: 39300 |
| Train loss: 102.05140686035156 step: 39400 |
| Train loss: 90.86222839355469 step: 39500 |
| Train loss: 83.28683471679688 step: 39600 |
| Train loss: 95.26985168457031 step: 39700 |
| Train loss: 92.15057373046875 step: 39800 |
| Train loss: 99.08290100097656 step: 39900 |
| Train loss: 88.71820068359375 step: 40000 |
| saving the model at the end of epoch 26 |
| validating... |
| (Val @ epoch 26) acc: 0.9230132450331126 ap: 0.8722919306182526 fpr: 0.02052980132450331 fnr: 0.13344370860927152 |
| epoch: 27 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 95.718505859375 step: 40100 |
| Train loss: 83.5436019897461 step: 40200 |
| Train loss: 90.60633850097656 step: 40300 |
| Train loss: 95.76900482177734 step: 40400 |
| Train loss: 77.22334289550781 step: 40500 |
| Train loss: 106.1387939453125 step: 40600 |
| Train loss: 105.90230560302734 step: 40700 |
| Train loss: 98.82454681396484 step: 40800 |
| Train loss: 80.53895568847656 step: 40900 |
| Train loss: 96.0670166015625 step: 41000 |
| Train loss: 96.09965515136719 step: 41100 |
| Train loss: 102.98234558105469 step: 41200 |
| Train loss: 94.43991088867188 step: 41300 |
| Train loss: 82.52233123779297 step: 41400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 99.63735961914062 step: 41500 |
| saving the model at the end of epoch 27 |
| validating... |
| (Val @ epoch 27) acc: 0.9231788079470199 ap: 0.8720708628922907 fpr: 0.018874172185430464 fnr: 0.1347682119205298 |
| epoch: 28 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 94.73419189453125 step: 41600 |
| Train loss: 86.86043548583984 step: 41700 |
| Train loss: 94.25665283203125 step: 41800 |
| Train loss: 87.87420654296875 step: 41900 |
| Train loss: 94.3466796875 step: 42000 |
| Train loss: 87.02870178222656 step: 42100 |
| Train loss: 94.72970581054688 step: 42200 |
| Train loss: 73.56180572509766 step: 42300 |
| Train loss: 107.19182586669922 step: 42400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 86.6338882446289 step: 42500 |
| Train loss: 90.05741882324219 step: 42600 |
| Train loss: 96.47938537597656 step: 42700 |
| Train loss: 87.6587142944336 step: 42800 |
| Train loss: 99.31858825683594 step: 42900 |
| Train loss: 88.81858825683594 step: 43000 |
| saving the model at the end of epoch 28 |
| validating... |
| (Val @ epoch 28) acc: 0.9263245033112583 ap: 0.8769619526443624 fpr: 0.018874172185430464 fnr: 0.12847682119205298 |
| epoch: 29 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 109.44593811035156 step: 43100 |
| Train loss: 84.59053039550781 step: 43200 |
| Train loss: 84.24394226074219 step: 43300 |
| Train loss: 119.02490234375 step: 43400 |
| Train loss: 101.92208862304688 step: 43500 |
| Train loss: 105.8259048461914 step: 43600 |
| Train loss: 98.34077453613281 step: 43700 |
| Train loss: 105.81497192382812 step: 43800 |
| Train loss: 91.91256713867188 step: 43900 |
| Train loss: 99.22040557861328 step: 44000 |
| Train loss: 94.55714416503906 step: 44100 |
| Train loss: 97.93988037109375 step: 44200 |
| Train loss: 84.58506774902344 step: 44300 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 80.71188354492188 step: 44400 |
| saving the model at the end of epoch 29 |
| validating... |
| (Val @ epoch 29) acc: 0.9253311258278145 ap: 0.875024502327229 fpr: 0.017549668874172187 fnr: 0.1317880794701987 |
| epoch: 30 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 107.75877380371094 step: 44500 |
| Train loss: 99.62721252441406 step: 44600 |
| Train loss: 98.58932495117188 step: 44700 |
| Train loss: 80.76273345947266 step: 44800 |
| Train loss: 95.53893280029297 step: 44900 |
| Train loss: 94.35447692871094 step: 45000 |
| Train loss: 98.68751525878906 step: 45100 |
| Train loss: 91.52035522460938 step: 45200 |
| Train loss: 85.08636474609375 step: 45300 |
| Train loss: 99.96929931640625 step: 45400 |
| Train loss: 110.87091064453125 step: 45500 |
| Train loss: 102.12557983398438 step: 45600 |
| Train loss: 80.78931427001953 step: 45700 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 99.07274627685547 step: 45800 |
| Train loss: 88.63421630859375 step: 45900 |
| saving the model at the end of epoch 30 |
| validating... |
| (Val @ epoch 30) acc: 0.9245033112582781 ap: 0.873643483930774 fpr: 0.017218543046357615 fnr: 0.1337748344370861 |
| epoch: 31 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 95.41173553466797 step: 46000 |
| Train loss: 91.78175354003906 step: 46100 |
| Train loss: 99.63282775878906 step: 46200 |
| Train loss: 126.46421813964844 step: 46300 |
| Train loss: 91.29084777832031 step: 46400 |
| Train loss: 94.41521453857422 step: 46500 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 87.62366485595703 step: 46600 |
| Train loss: 83.82557678222656 step: 46700 |
| Train loss: 119.25001525878906 step: 46800 |
| Train loss: 80.16643524169922 step: 46900 |
| Train loss: 96.1780014038086 step: 47000 |
| Train loss: 94.11321258544922 step: 47100 |
| Train loss: 69.96588134765625 step: 47200 |
| Train loss: 97.95004272460938 step: 47300 |
| Train loss: 91.87395477294922 step: 47400 |
| saving the model at the end of epoch 31 |
| validating... |
| (Val @ epoch 31) acc: 0.9253311258278145 ap: 0.8743518106575674 fpr: 0.015231788079470199 fnr: 0.13410596026490065 |
| epoch: 32 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 94.93876647949219 step: 47500 |
| Train loss: 74.20389556884766 step: 47600 |
| Train loss: 93.996337890625 step: 47700 |
| Train loss: 91.61723327636719 step: 47800 |
| Train loss: 80.5855484008789 step: 47900 |
| Train loss: 105.62805938720703 step: 48000 |
| Train loss: 77.38821411132812 step: 48100 |
| Train loss: 90.43487548828125 step: 48200 |
| Train loss: 104.10159301757812 step: 48300 |
| Train loss: 96.5937271118164 step: 48400 |
| Train loss: 115.57551574707031 step: 48500 |
| Train loss: 83.31884002685547 step: 48600 |
| Train loss: 94.00515747070312 step: 48700 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 91.11808013916016 step: 48800 |
| Train loss: 95.9767074584961 step: 48900 |
| saving the model at the end of epoch 32 |
| validating... |
| (Val @ epoch 32) acc: 0.9326158940397351 ap: 0.8868095052590573 fpr: 0.018543046357615896 fnr: 0.1162251655629139 |
| epoch: 33 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 77.57847595214844 step: 49000 |
| Train loss: 114.95893859863281 step: 49100 |
| Train loss: 89.53807830810547 step: 49200 |
| Train loss: 102.10774993896484 step: 49300 |
| Train loss: 91.46820068359375 step: 49400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 107.26177978515625 step: 49500 |
| Train loss: 79.87150573730469 step: 49600 |
| Train loss: 80.25978088378906 step: 49700 |
| Train loss: 86.90876007080078 step: 49800 |
| Train loss: 108.16836547851562 step: 49900 |
| Train loss: 84.42555236816406 step: 50000 |
| Train loss: 98.3057632446289 step: 50100 |
| Train loss: 94.54742431640625 step: 50200 |
| Train loss: 105.42430114746094 step: 50300 |
| Train loss: 76.19158935546875 step: 50400 |
| saving the model at the end of epoch 33 |
| validating... |
| (Val @ epoch 33) acc: 0.9317880794701987 ap: 0.8850802343352012 fpr: 0.017218543046357615 fnr: 0.11920529801324503 |
| epoch: 34 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 125.81848907470703 step: 50500 |
| Train loss: 92.07084655761719 step: 50600 |
| Train loss: 73.8358383178711 step: 50700 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 125.55552673339844 step: 50800 |
| Train loss: 83.88774108886719 step: 50900 |
| Train loss: 90.35460662841797 step: 51000 |
| Train loss: 93.7743148803711 step: 51100 |
| Train loss: 102.3692626953125 step: 51200 |
| Train loss: 87.55474090576172 step: 51300 |
| Train loss: 105.97702026367188 step: 51400 |
| Train loss: 76.19060516357422 step: 51500 |
| Train loss: 94.39215087890625 step: 51600 |
| Train loss: 108.25830078125 step: 51700 |
| Train loss: 86.64149475097656 step: 51800 |
| Train loss: 94.81710815429688 step: 51900 |
| saving the model at the end of epoch 34 |
| validating... |
| (Val @ epoch 34) acc: 0.9312913907284768 ap: 0.8838867964195967 fpr: 0.015894039735099338 fnr: 0.12152317880794702 |
| epoch: 35 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 76.47958374023438 step: 52000 |
| Train loss: 102.25346374511719 step: 52100 |
| Train loss: 100.02899169921875 step: 52200 |
| Train loss: 76.23573303222656 step: 52300 |
| Train loss: 90.76263427734375 step: 52400 |
| Train loss: 96.04088592529297 step: 52500 |
| Train loss: 95.24079895019531 step: 52600 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 97.91497802734375 step: 52700 |
| Train loss: 97.41355895996094 step: 52800 |
| Train loss: 97.85961151123047 step: 52900 |
| Train loss: 114.14883422851562 step: 53000 |
| Train loss: 94.67399597167969 step: 53100 |
| Train loss: 102.08966064453125 step: 53200 |
| Train loss: 91.06591796875 step: 53300 |
| saving the model at the end of epoch 35 |
| validating... |
| (Val @ epoch 35) acc: 0.9319536423841059 ap: 0.8851402935697372 fpr: 0.016556291390728478 fnr: 0.1195364238410596 |
| epoch: 36 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 105.64775848388672 step: 53400 |
| Train loss: 109.65997314453125 step: 53500 |
| Train loss: 105.07560729980469 step: 53600 |
| Train loss: 107.36741638183594 step: 53700 |
| Train loss: 83.0212631225586 step: 53800 |
| Train loss: 90.62057495117188 step: 53900 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 106.80844116210938 step: 54000 |
| Train loss: 94.00015258789062 step: 54100 |
| Train loss: 97.37210083007812 step: 54200 |
| Train loss: 100.07282257080078 step: 54300 |
| Train loss: 86.8153076171875 step: 54400 |
| Train loss: 98.42520141601562 step: 54500 |
| Train loss: 84.40351867675781 step: 54600 |
| Train loss: 94.61422729492188 step: 54700 |
| Train loss: 94.72000122070312 step: 54800 |
| saving the model at the end of epoch 36 |
| validating... |
| (Val @ epoch 36) acc: 0.9354304635761589 ap: 0.890912769477931 fpr: 0.017218543046357615 fnr: 0.1119205298013245 |
| epoch: 37 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 91.30091857910156 step: 54900 |
| Train loss: 91.02377319335938 step: 55000 |
| Train loss: 105.36109924316406 step: 55100 |
| Train loss: 100.18766784667969 step: 55200 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 87.48077392578125 step: 55300 |
| Train loss: 90.96659851074219 step: 55400 |
| Train loss: 102.36908721923828 step: 55500 |
| Train loss: 93.92560577392578 step: 55600 |
| Train loss: 98.06395721435547 step: 55700 |
| Train loss: 87.72573852539062 step: 55800 |
| Train loss: 106.69154357910156 step: 55900 |
| Train loss: 104.80895233154297 step: 56000 |
| Train loss: 113.35851287841797 step: 56100 |
| Train loss: 94.14604187011719 step: 56200 |
| Train loss: 86.715576171875 step: 56300 |
| saving the model at the end of epoch 37 |
| validating... |
| (Val @ epoch 37) acc: 0.9336092715231789 ap: 0.8871650741233064 fpr: 0.01456953642384106 fnr: 0.11821192052980133 |
| epoch: 38 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 94.313232421875 step: 56400 |
| Train loss: 94.04849243164062 step: 56500 |
| Train loss: 109.79649353027344 step: 56600 |
| Train loss: 98.18072509765625 step: 56700 |
| Train loss: 89.97587585449219 step: 56800 |
| Train loss: 109.39126586914062 step: 56900 |
| Train loss: 83.82635498046875 step: 57000 |
| Train loss: 109.32949829101562 step: 57100 |
| Train loss: 97.58815002441406 step: 57200 |
| Train loss: 99.30084228515625 step: 57300 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 82.94303894042969 step: 57400 |
| Train loss: 99.66937255859375 step: 57500 |
| Train loss: 82.54581451416016 step: 57600 |
| Train loss: 90.79081726074219 step: 57700 |
| Train loss: 93.85063171386719 step: 57800 |
| saving the model at the end of epoch 38 |
| validating... |
| (Val @ epoch 38) acc: 0.93658940397351 ap: 0.8921524878940557 fpr: 0.015231788079470199 fnr: 0.11158940397350993 |
| epoch: 39 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 101.46546936035156 step: 57900 |
| Train loss: 86.85536193847656 step: 58000 |
| Train loss: 86.88607788085938 step: 58100 |
| Train loss: 94.00170135498047 step: 58200 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 101.704833984375 step: 58300 |
| Train loss: 86.93431854248047 step: 58400 |
| Train loss: 106.63441467285156 step: 58500 |
| Train loss: 105.39498138427734 step: 58600 |
| Train loss: 102.37200927734375 step: 58700 |
| Train loss: 98.33232879638672 step: 58800 |
| Train loss: 94.26693725585938 step: 58900 |
| Train loss: 106.35066223144531 step: 59000 |
| Train loss: 98.30419921875 step: 59100 |
| Train loss: 79.83206176757812 step: 59200 |
| Train loss: 90.36638641357422 step: 59300 |
| saving the model at the end of epoch 39 |
| validating... |
| (Val @ epoch 39) acc: 0.9347682119205298 ap: 0.8886050604448648 fpr: 0.013245033112582781 fnr: 0.11721854304635762 |
| epoch: 40 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 83.80421447753906 step: 59400 |
| Train loss: 97.71980285644531 step: 59500 |
| Train loss: 86.69020080566406 step: 59600 |
| Train loss: 114.35474395751953 step: 59700 |
| Train loss: 97.22096252441406 step: 59800 |
| Train loss: 88.50094604492188 step: 59900 |
| Train loss: 97.62434387207031 step: 60000 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 97.61849212646484 step: 60100 |
| Train loss: 118.01669311523438 step: 60200 |
| Train loss: 83.99238586425781 step: 60300 |
| Train loss: 86.89488983154297 step: 60400 |
| Train loss: 98.79199981689453 step: 60500 |
| Train loss: 78.77233123779297 step: 60600 |
| Train loss: 83.23431396484375 step: 60700 |
| Train loss: 86.27637481689453 step: 60800 |
| saving the model at the end of epoch 40 |
| validating... |
| (Val @ epoch 40) acc: 0.9346026490066225 ap: 0.8877273707600164 fpr: 0.011258278145695364 fnr: 0.1195364238410596 |
| epoch: 41 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 91.28060913085938 step: 60900 |
| Train loss: 105.48225402832031 step: 61000 |
| Train loss: 97.78602600097656 step: 61100 |
| Train loss: 105.30380249023438 step: 61200 |
| Train loss: 105.22386169433594 step: 61300 |
| Train loss: 94.03921508789062 step: 61400 |
| Train loss: 75.66316223144531 step: 61500 |
| Train loss: 83.37248992919922 step: 61600 |
| Train loss: 82.9482192993164 step: 61700 |
| Train loss: 105.40867614746094 step: 61800 |
| Train loss: 117.3250732421875 step: 61900 |
| Train loss: 87.09813690185547 step: 62000 |
| Train loss: 116.06901550292969 step: 62100 |
| Train loss: 94.27781677246094 step: 62200 |
| saving the model at the end of epoch 41 |
| validating... |
| (Val @ epoch 41) acc: 0.9352649006622517 ap: 0.8892963302952812 fpr: 0.012913907284768211 fnr: 0.11655629139072848 |
| epoch: 42 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 109.22545623779297 step: 62300 |
| Train loss: 90.06454467773438 step: 62400 |
| Train loss: 97.81288146972656 step: 62500 |
| Train loss: 94.01913452148438 step: 62600 |
| Train loss: 89.94760131835938 step: 62700 |
| Train loss: 113.94859313964844 step: 62800 |
| Train loss: 109.82142639160156 step: 62900 |
| Train loss: 94.44390869140625 step: 63000 |
| Train loss: 121.51100158691406 step: 63100 |
| Train loss: 90.37667846679688 step: 63200 |
| Train loss: 90.16975402832031 step: 63300 |
| Train loss: 101.73966979980469 step: 63400 |
| Train loss: 77.35667419433594 step: 63500 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 90.05270385742188 step: 63600 |
| Train loss: 102.1438980102539 step: 63700 |
| saving the model at the end of epoch 42 |
| validating... |
| (Val @ epoch 42) acc: 0.9407284768211921 ap: 0.8985567058009383 fpr: 0.01423841059602649 fnr: 0.10430463576158941 |
| epoch: 43 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 94.28565979003906 step: 63800 |
| Train loss: 88.5025405883789 step: 63900 |
| Train loss: 84.7755126953125 step: 64000 |
| Train loss: 95.95376586914062 step: 64100 |
| Train loss: 83.29885864257812 step: 64200 |
| Train loss: 94.64238739013672 step: 64300 |
| Train loss: 97.70860290527344 step: 64400 |
| Train loss: 96.45343780517578 step: 64500 |
| Train loss: 94.48623657226562 step: 64600 |
| Train loss: 117.8350830078125 step: 64700 |
| Train loss: 96.92566680908203 step: 64800 |
| Train loss: 77.26060485839844 step: 64900 |
| Train loss: 102.19673156738281 step: 65000 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 94.15009307861328 step: 65100 |
| Train loss: 97.46650695800781 step: 65200 |
| saving the model at the end of epoch 43 |
| validating... |
| (Val @ epoch 43) acc: 0.9400662251655629 ap: 0.8972597832630945 fpr: 0.013576158940397352 fnr: 0.10629139072847682 |
| epoch: 44 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 105.65857696533203 step: 65300 |
| Train loss: 85.96650695800781 step: 65400 |
| Train loss: 95.0820541381836 step: 65500 |
| Train loss: 94.70610809326172 step: 65600 |
| Train loss: 93.39395141601562 step: 65700 |
| Train loss: 100.08433532714844 step: 65800 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 101.28034973144531 step: 65900 |
| Train loss: 89.05029296875 step: 66000 |
| Train loss: 90.05953216552734 step: 66100 |
| Train loss: 87.03773498535156 step: 66200 |
| Train loss: 109.26770782470703 step: 66300 |
| Train loss: 82.67086791992188 step: 66400 |
| Train loss: 76.64437103271484 step: 66500 |
| Train loss: 86.54629516601562 step: 66600 |
| Train loss: 76.48202514648438 step: 66700 |
| saving the model at the end of epoch 44 |
| validating... |
| (Val @ epoch 44) acc: 0.938907284768212 ap: 0.8951623726650679 fpr: 0.012913907284768211 fnr: 0.10927152317880795 |
| epoch: 45 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 102.70532989501953 step: 66800 |
| Train loss: 98.54911804199219 step: 66900 |
| Train loss: 80.60196685791016 step: 67000 |
| Train loss: 89.60649108886719 step: 67100 |
| Train loss: 101.90727233886719 step: 67200 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 110.23324584960938 step: 67300 |
| Train loss: 90.51313781738281 step: 67400 |
| Train loss: 82.82902526855469 step: 67500 |
| Train loss: 114.34927368164062 step: 67600 |
| Train loss: 104.7222671508789 step: 67700 |
| Train loss: 104.95767211914062 step: 67800 |
| Train loss: 93.2955322265625 step: 67900 |
| Train loss: 103.30267333984375 step: 68000 |
| Train loss: 101.23458862304688 step: 68100 |
| Train loss: 90.28176879882812 step: 68200 |
| saving the model at the end of epoch 45 |
| validating... |
| (Val @ epoch 45) acc: 0.9380794701986755 ap: 0.8932968424573797 fpr: 0.011258278145695364 fnr: 0.11258278145695365 |
| epoch: 46 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 97.50723266601562 step: 68300 |
| Train loss: 97.13092803955078 step: 68400 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 89.87747192382812 step: 68500 |
| Train loss: 90.36524963378906 step: 68600 |
| Train loss: 101.256591796875 step: 68700 |
| Train loss: 99.16970825195312 step: 68800 |
| Train loss: 109.6037826538086 step: 68900 |
| Train loss: 105.37516784667969 step: 69000 |
| Train loss: 94.57360076904297 step: 69100 |
| Train loss: 97.98590850830078 step: 69200 |
| Train loss: 97.60783386230469 step: 69300 |
| Train loss: 85.90118408203125 step: 69400 |
| Train loss: 97.27726745605469 step: 69500 |
| Train loss: 116.9710922241211 step: 69600 |
| Train loss: 97.3941650390625 step: 69700 |
| saving the model at the end of epoch 46 |
| validating... |
| (Val @ epoch 46) acc: 0.9397350993377483 ap: 0.895867613538835 fpr: 0.010927152317880795 fnr: 0.10960264900662252 |
| epoch: 47 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 97.43257141113281 step: 69800 |
| Train loss: 94.33767700195312 step: 69900 |
| Train loss: 101.50326538085938 step: 70000 |
| Train loss: 76.67514038085938 step: 70100 |
| Train loss: 90.25025939941406 step: 70200 |
| Train loss: 82.4213638305664 step: 70300 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 105.03654479980469 step: 70400 |
| Train loss: 92.296630859375 step: 70500 |
| Train loss: 91.99394989013672 step: 70600 |
| Train loss: 76.64805603027344 step: 70700 |
| Train loss: 95.92701721191406 step: 70800 |
| Train loss: 90.02147674560547 step: 70900 |
| Train loss: 90.73638153076172 step: 71000 |
| Train loss: 89.86149597167969 step: 71100 |
| saving the model at the end of epoch 47 |
| validating... |
| (Val @ epoch 47) acc: 0.9405629139072847 ap: 0.897211416794766 fpr: 0.010927152317880795 fnr: 0.10794701986754966 |
| epoch: 48 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 97.4541015625 step: 71200 |
| Train loss: 102.45660400390625 step: 71300 |
| Train loss: 69.94125366210938 step: 71400 |
| Train loss: 109.10926818847656 step: 71500 |
| Train loss: 97.28998565673828 step: 71600 |
| Train loss: 100.94027709960938 step: 71700 |
| Train loss: 94.3294677734375 step: 71800 |
| Train loss: 79.23173522949219 step: 71900 |
| Train loss: 107.92404174804688 step: 72000 |
| Train loss: 96.29600524902344 step: 72100 |
| Train loss: 93.08766174316406 step: 72200 |
| Train loss: 98.92930603027344 step: 72300 |
| Train loss: 102.63845825195312 step: 72400 |
| Train loss: 93.48680114746094 step: 72500 |
| Train loss: 105.561767578125 step: 72600 |
| saving the model at the end of epoch 48 |
| validating... |
| (Val @ epoch 48) acc: 0.9395695364238411 ap: 0.8954934582458408 fpr: 0.010596026490066225 fnr: 0.11026490066225166 |
| epoch: 49 |
| /opt/conda/envs/LipFD/lib/python3.10/site-packages/torchvision/transforms/functional.py:1603: UserWarning: The default value of the antialias parameter of all the resizing transforms (Resize(), RandomResizedCrop(), etc.) will change from None to True in v0.17, in order to be consistent across the PIL and Tensor backends. To suppress this warning, directly pass antialias=True (recommended, future default), antialias=None (current default, which means False for Tensors and True for PIL), or antialias=False (only works on Tensors - PIL will still use antialiasing). This also applies if you are using the inference transforms from the models weights: update the call to weights.transforms(antialias=True). |
| warnings.warn( |
| Train loss: 89.19844818115234 step: 72700 |
| Train loss: 105.79002380371094 step: 72800 |
| Train loss: 94.37416076660156 step: 72900 |
| Train loss: 97.48074340820312 step: 73000 |
| Train loss: 76.3938980102539 step: 73100 |
| Train loss: 93.292236328125 step: 73200 |
| Train loss: 93.73245239257812 step: 73300 |
| Train loss: 111.39205932617188 step: 73400 |
| Train loss: 79.65298461914062 step: 73500 |
| Train loss: 83.60038757324219 step: 73600 |
| Train loss: 90.1827392578125 step: 73700 |
| Train loss: 86.8857421875 step: 73800 |
| WARNING: Failed to read image, skipping: /apdcephfs_gy4/share_303628665/joywu/research/LipFD/datasets/FairTalking-Bench/train/1_fake/Sonic_1135_Fake_Sonic_7.png |
| Train loss: 89.89358520507812 step: 73900 |
| Train loss: 97.02238464355469 step: 74000 |
| Train loss: 101.51692962646484 step: 74100 |
| saving the model at the end of epoch 49 |
| validating... |
| (Val @ epoch 49) acc: 0.9405629139072847 ap: 0.896998055371985 fpr: 0.010264900662251655 fnr: 0.10860927152317881 |
|
|
