Model
UNet_Medical TensorFlow2 TF-TRT model trained with AMP
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1 Version
21.11.0Selected02/03/2022 10:17 PM UTC330.08 MBAccuracy: 00 EpochsBatch Size: 8GPU: A100 Copied!
21.11.0Selected
02/03/2022 10:17 PM UTC330.08 MBAccuracy: 00 EpochsBatch Size: 8GPU: A100
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architecture
| Key | Value |
|---|---|
| type | base |
performance
| Key | Value |
|---|---|
| eval_dice_loss | 0.09937536716461182 |
| eval_dice_score | 0.9006246328353882 |
| eval_total_loss | 0.2963957190513611 |
| eval_ce_loss | 0.19702035188674927 |
training
| Key | Value |
|---|---|
| batch_size | 8 |
| training_precision | AMP |
| dataset | EM segmentation challenge |
| learning_rate | 0.0001 |
| iterations | 2000 |