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Add Titan RTX results for vgg16-cifar10.py #18

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Add Titan RTX results for vgg16-cifar10.py #18

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25 changes: 25 additions & 0 deletions benchmark/pytorch-m1-gpu/vgg16-cifar10-results/titanrtx.txt
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torch 1.11.0
device cuda
Files already downloaded and verified
Using cache found in /home/daniel/.cache/torch/hub/pytorch_vision_v0.11.0
Epoch: 001/001 | Batch 0000/1406 | Loss: 2.5692
Epoch: 001/001 | Batch 0100/1406 | Loss: 2.4461
Epoch: 001/001 | Batch 0200/1406 | Loss: 2.2073
Epoch: 001/001 | Batch 0300/1406 | Loss: 2.1029
Epoch: 001/001 | Batch 0400/1406 | Loss: 2.0707
Epoch: 001/001 | Batch 0500/1406 | Loss: 1.9118
Epoch: 001/001 | Batch 0600/1406 | Loss: 2.0038
Epoch: 001/001 | Batch 0700/1406 | Loss: 1.9192
Epoch: 001/001 | Batch 0800/1406 | Loss: 1.9772
Epoch: 001/001 | Batch 0900/1406 | Loss: 2.0196
Epoch: 001/001 | Batch 1000/1406 | Loss: 1.8602
Epoch: 001/001 | Batch 1100/1406 | Loss: 2.0432
Epoch: 001/001 | Batch 1200/1406 | Loss: 1.9738
Epoch: 001/001 | Batch 1300/1406 | Loss: 1.8681
Epoch: 001/001 | Batch 1400/1406 | Loss: 1.8413
Time / epoch without evaluation: 5.29 min
Epoch: 001/001 | Train: 32.61% | Validation: 33.10% | Best Validation (Ep. 001): 33.10%
Time elapsed: 7.04 min
Total Training Time: 7.04 min
Test accuracy 33.99%
Total Time: 7.38 min