Model
TFT Base PyTorch checkpoint trained with AMP on Traffic dataset
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2 Versions
22.11.0_ampSelected04/06/2023 8:02 PM UTC6.73 MBAccuracy: 020 EpochsBatch Size: 8192GPU: A100 Copied!
22.11.0_ampSelected
04/06/2023 8:02 PM UTC6.73 MBAccuracy: 020 EpochsBatch Size: 8192GPU: A100
Copied!
architecture
| Key | Value |
|---|---|
| type | base |
performance
| Key | Value |
|---|---|
| P90 | 0.079 |
| P50 | 0.109 |
| P10 | 0.044 |
training
| Key | Value |
|---|---|
| batch_size | 8192 |
| clip_grad | 0.0 |
| lr | 0.001 |
| dropout | 0.4 |
| training_precision | AMP |
| dataset | Electricity |
| bs_per_gpu | 1024 |
| epochs | 20 |
09/22/2022 5:08 PM UTC6.73 MBAccuracy: 030 EpochsBatch Size: 8192GPU: V100 Copied!
09/22/2022 5:08 PM UTC6.73 MBAccuracy: 030 EpochsBatch Size: 8192GPU: V100
Copied!
architecture
| Key | Value |
|---|---|
| type | base |
performance
| Key | Value |
|---|---|
| P90 | 0.072 |
| P50 | 0.099 |
| P10 | 0.04 |
training
| Key | Value |
|---|---|
| batch_size | 8192 |
| clip_grad | 0.0 |
| lr | 0.002 |
| dropout | 0.3 |
| training_precision | AMP |
| dataset | Electricity |
| bs_per_gpu | 1024 |
| epochs | 30 |