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(234 total runs)Dataset
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ResNet-50, 16-bit Optimized (AWS A100)
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Baseline
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Baseline
- Recipe
- MosaicML Mild
- Methods
- 9 Methods
- Cost
- $11.04
- Top-1 accuracy
- 76.64%
- Time
- 27m 09s
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 0.36
- Recipe
- MosaicML Mild
- Methods
- 9 Methods
- Cost
- $12.42
- Top-1 accuracy
- 76.99%
- Time
- 30m 33s
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 0.40
- Recipe
- MosaicML Mild
- Methods
- 9 Methods
- Cost
- $15.53
- Top-1 accuracy
- 77.51%
- Time
- 38m 11s
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 0.50
- Recipe
- MosaicML Mild
- Methods
- 9 Methods
- Cost
- $23.12
- Top-1 accuracy
- 78.13%
- Time
- 56m 51s
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 0.75
- Recipe
- MosaicML Medium
- Methods
- 11 Methods
- Cost
- $25.34
- Top-1 accuracy
- 78.40%
- Time
- 1h 02m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 0.75
- Recipe
- MosaicML Medium
- Methods
- 11 Methods
- Cost
- $34.05
- Top-1 accuracy
- 78.95%
- Time
- 1h 23m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 1.00
- Recipe
- MosaicML Medium
- Methods
- 11 Methods
- Cost
- $51.07
- Top-1 accuracy
- 79.38%
- Time
- 2h 05m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 1.50
- Recipe
- MosaicML Medium
- Methods
- 11 Methods
- Cost
- $68.09
- Top-1 accuracy
- 79.50%
- Time
- 2h 47m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 2.00
- Recipe
- MosaicML Medium
- Methods
- 11 Methods
- Cost
- $90.03
- Top-1 accuracy
- 79.51%
- Time
- 3h 41m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 2.65
- Recipe
- MosaicML Hot
- Methods
- 13 Methods
- Cost
- $101.36
- Top-1 accuracy
- 79.65%
- Time
- 4h 09m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 2.00
- Recipe
- MosaicML Hot
- Methods
- 13 Methods
- Cost
- $111.49
- Top-1 accuracy
- 79.86%
- Time
- 4h 34m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 2.20
- Recipe
- MosaicML Hot
- Methods
- 13 Methods
- Cost
- $152.04
- Top-1 accuracy
- 80.31%
- Time
- 6h 13m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 3.00
- Recipe
- MosaicML Hot
- Methods
- 13 Methods
- Cost
- $202.71
- Top-1 accuracy
- 80.56%
- Time
- 8h 18m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 4.00
- Recipe
- MosaicML Hot
- Methods
- 13 Methods
- Cost
- $253.39
- Top-1 accuracy
- 80.78%
- Time
- 10h 23m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 5.00
- Recipe
- MosaicML Hot
- Methods
- 13 Methods
- Cost
- $380.09
- Top-1 accuracy
- 80.98%
- Time
- 15h 34m
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 7.50
- Recipe
- MosaicML Mild
- Methods
- 9 Methods
- Cost
- $9.66
- Top-1 accuracy
- 76.19%
- Time
- 23m 45s
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 0.32
- Recipe
- MosaicML Mild
- Methods
- 9 Methods
- Cost
- $7.59
- Top-1 accuracy
- 75.17%
- Time
- 18m 40s
- Model
- ResNet-50
- Cloud
- Oracle Cloud Infrastructure
- Instance
- BM.GPU4.8
- Scale Schedule Ratio
- 0.25