Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 54199.64706277847 |
| Emissions (Co2eq in kg) | 0.0327970548690206 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.6398558150369258 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0564575300941864 |
| Consumed energy (kWh) | 0.6963133451311146 |
| 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) | 0.10433432059584856 |
| Emissions (Co2eq in kg) | 0.021228195099588235 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x4 |
| model_name | BERTrand_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 8e-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 | 0.718289 | 0.834059 | 0.000000 | 762.000000 | 0.000000 | 766.000000 |
| 1 | 0.247900 | 0.208395 | 0.945357 | 665.000000 | 97.000000 | 29.000000 | 737.000000 |
| 2 | 0.156985 | 0.223636 | 0.920779 | 685.000000 | 77.000000 | 57.000000 | 709.000000 |
| 3 | 0.087446 | 0.283600 | 0.940950 | 664.000000 | 98.000000 | 33.000000 | 733.000000 |
| 4 | 0.033831 | 0.367890 | 0.928849 | 679.000000 | 83.000000 | 48.000000 | 718.000000 |
| 5 | 0.009458 | 0.511260 | 0.929843 | 670.000000 | 92.000000 | 45.000000 | 721.000000 |
| 6 | 0.005221 | 0.533849 | 0.926022 | 676.000000 | 86.000000 | 50.000000 | 716.000000 |
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