Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 51646.0833337307 |
| Emissions (Co2eq in kg) | 0.031251852648093 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.609709605205391 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.053797595238189 |
| Consumed energy (kWh) | 0.6635072004435796 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 2 |
| CPU model | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz |
| GPU count | nan |
| GPU model | nan |
Environmental Impact (for one core)
| Metric | Value |
|---|---|
| CPU energy (kWh) | 0.09941871041743158 |
| Emissions (Co2eq in kg) | 0.020228049305711187 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | BERTrand_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 3e-06 |
| batch_size | 1 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 36660 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score | TN | FP | FN | TP |
|---|---|---|---|---|---|---|---|
| 0 | 0.000000 | 0.699795 | 0.022603 | 743.000000 | 19.000000 | 752.000000 | 14.000000 |
| 1 | 0.283572 | 0.205028 | 0.935317 | 684.000000 | 78.000000 | 43.000000 | 723.000000 |
| 2 | 0.176116 | 0.198808 | 0.938067 | 691.000000 | 71.000000 | 42.000000 | 724.000000 |
| 3 | 0.124845 | 0.212899 | 0.926455 | 691.000000 | 71.000000 | 53.000000 | 713.000000 |
| 4 | 0.074272 | 0.231467 | 0.939034 | 682.000000 | 80.000000 | 39.000000 | 727.000000 |
| 5 | 0.039464 | 0.261678 | 0.923177 | 695.000000 | 67.000000 | 57.000000 | 709.000000 |
| 6 | 0.019379 | 0.288131 | 0.929720 | 687.000000 | 75.000000 | 49.000000 | 717.000000 |
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