Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 81521.76889538765 |
| Emissions (Co2eq in kg) | 0.0493300581815189 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9624074856905492 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0849175855716069 |
| Consumed energy (kWh) | 1.047325071262159 |
| 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) | 0.15692940512362122 |
| Emissions (Co2eq in kg) | 0.03192935948402683 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_19e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.9e-05 |
| batch_size | 32 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.697413 | 0.498850 |
| 1 | 0.309828 | 0.229587 | 0.914338 |
| 2 | 0.185570 | 0.260364 | 0.896540 |
| 3 | 0.144719 | 0.223334 | 0.931744 |
| 4 | 0.100979 | 0.234904 | 0.919179 |
| 5 | 0.074212 | 0.260365 | 0.928091 |
| 6 | 0.052888 | 0.309077 | 0.922794 |
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