Model
GPUNet-D2 weights pretrained on ImageNet
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1 Version
21.12.0_ampSelected05/10/2022 7:58 PM UTC291.81 MBAccuracy: 0450 EpochsBatch Size: 128GPU: V100 Copied!
21.12.0_ampSelected
05/10/2022 7:58 PM UTC291.81 MBAccuracy: 0450 EpochsBatch Size: 128GPU: V100
Copied!
architecture
| Key | Value |
|---|---|
| type | gpunet_d3 |
performance
| Key | Value |
|---|---|
| val_top1 | 83.5 |
| val_top5 | 96.7 |
training
| Key | Value |
|---|---|
| aa | rand-m9-mstd0.5 |
| drop | 0.3 |
| drop_connect | 0.2 |
| batch_size | 128 |
| amp | True |
| decay_epochs | 2.4 |
| crop_pct | 1.0 |
| img_size | 528 |
| enable_distill | True |
| epochs | 450 |
| decay_rate | 0.97 |
| data_dir | /data/imagenet |