Model
ResNet50 ImageNet pretrained weights.
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1 Version
20.06.0_ampSelected09/22/2022 5:24 PM UTC97.74 MBAccuracy: 0300 EpochsBatch Size: 256GPU: V100 Copied!
20.06.0_ampSelected
09/22/2022 5:24 PM UTC97.74 MBAccuracy: 0300 EpochsBatch Size: 256GPU: V100
Copied!
architecture
| Key | Value |
|---|---|
| type | resnet50 |
performance
| Key | Value |
|---|---|
| val_top1 | 78.54800000488281 |
| val_top5 | 94.00399979003906 |
training
| Key | Value |
|---|---|
| data_backend | pytorch |
| model_config | fanin |
| batch_size | 256 |
| data | /data/imagenet |
| num_classes | 1000 |
| lr | 2.048 |
| run_epochs | -1 |
| optimizer_batch_size | 2048 |
| arch | resnet50 |
| lr_schedule | cosine |
| workers | 8 |
| epochs | 300 |