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jeonsworld committed Nov 3, 2020
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Expand Up @@ -35,14 +35,14 @@ python3 train.py --name cifar10-100_500 --dataset cifar10 --model_type ViT-B_16
## Results
To verify reproducibility, we simply compare it with the author's experimental results. We trained using mixed precision, and `--fp16_opt_level` was set to O2.

[**tensorboard**](https://tensorboard.dev/experiment/w3E7dBdqQKW2D93ReUODPA/#scalars)
[**tensorboard**](https://tensorboard.dev/experiment/DrhAXRwwT1K4xDASp4uQCQ/#scalars)

| upstream | model | dataset | total_steps /warmup_steps | acc(official) | acc(this repo) |
|:-----------:|:--------:|:---------:|:-------------------------:|:-------------:|:--------------:|
| imagenet21k | ViT-B_16 | CIFAR-10 | 500/100 | 0.9859 | 0.9869 |
| imagenet21k | ViT-B_16 | CIFAR-10 | 1000/100 | 0.9886 | 0.9878 |
| imagenet21k | ViT-B_16 | CIFAR-100 | 500/100 | 0.8917 | 0.9205 |
| imagenet21k | ViT-B_16 | CIFAR-100 | 1000/100 | 0.9115 | in progress |
| imagenet21k | ViT-B_16 | CIFAR-100 | 1000/100 | 0.9115 | 0.9256 |


## Reference
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