Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 42167.37048149109 |
| Emissions (Co2eq in kg) | 0.0255161421460815 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.497808455664748 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0439240371927619 |
| Consumed energy (kWh) | 0.5417324928575104 |
| 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) | 0.08117218817687033 |
| Emissions (Co2eq in kg) | 0.016515553438584008 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x1 |
| model_name | BERTrand_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.9e-05 |
| batch_size | 4 |
| 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 | 0.694089 | 0.746355 | 150.000000 | 612.000000 | 121.000000 | 645.000000 |
| 1 | 0.244637 | 0.226076 | 0.916991 | 678.000000 | 84.000000 | 59.000000 | 707.000000 |
| 2 | 0.160318 | 0.205377 | 0.944771 | 654.000000 | 108.000000 | 27.000000 | 739.000000 |
| 3 | 0.093389 | 0.363510 | 0.940000 | 578.000000 | 184.000000 | 14.000000 | 752.000000 |
| 4 | 0.051850 | 0.281670 | 0.906242 | 691.000000 | 71.000000 | 72.000000 | 694.000000 |
| 5 | 0.024124 | 0.455232 | 0.940784 | 659.000000 | 103.000000 | 32.000000 | 734.000000 |
| 6 | 0.024208 | 0.442614 | 0.924728 | 675.000000 | 87.000000 | 51.000000 | 715.000000 |
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