Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | [More Information Needed] |
| Emissions (Co2eq in kg) | [More Information Needed] |
| CPU power (W) | [NO CPU] |
| GPU power (W) | [No GPU] |
| RAM power (W) | [More Information Needed] |
| CPU energy (kWh) | [No CPU] |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | [More Information Needed] |
| Consumed energy (kWh) | [More Information Needed] |
| Country name | [More Information Needed] |
| Cloud provider | [No Cloud] |
| Cloud region | [No Cloud] |
| CPU count | [No CPU] |
| CPU model | [No CPU] |
| GPU count | [No GPU] |
| GPU model | [No GPU] |
Environmental Impact (for one core)
| Metric | Value |
|---|---|
| CPU energy (kWh) | [No CPU] |
| Emissions (Co2eq in kg) | [More Information Needed] |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs32_lr1e4_x4 |
| model_name | BERTrand_x4_f1 |
| 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 | 0.779617 | 0.000000 | 762.000000 | 0.000000 | 766.000000 | 0.000000 |
| 1 | 0.249417 | 0.204000 | 0.917466 | 682.000000 | 80.000000 | 49.000000 | 717.000000 |
| 2 | 0.155135 | 0.196624 | 0.923369 | 678.000000 | 84.000000 | 37.000000 | 729.000000 |
| 3 | 0.092318 | 0.250402 | 0.903030 | 623.000000 | 139.000000 | 21.000000 | 745.000000 |
| 4 | 0.040235 | 0.364153 | 0.924183 | 705.000000 | 57.000000 | 59.000000 | 707.000000 |
| 5 | 0.017125 | 0.443175 | 0.923864 | 687.000000 | 75.000000 | 44.000000 | 722.000000 |
| 6 | 0.006321 | 0.477617 | 0.920411 | 687.000000 | 75.000000 | 49.000000 | 717.000000 |
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