Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 62385.99594402313 |
| Emissions (Co2eq in kg) | 0.0377507438904376 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7365000726395202 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0649849041218558 |
| Consumed energy (kWh) | 0.8014849767613769 |
| 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) | 0.12009304219224452 |
| Emissions (Co2eq in kg) | 0.024434515078075727 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_2e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 2e-06 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.722176 | 0.341156 |
| 1 | 0.327873 | 0.232394 | 0.918907 |
| 2 | 0.198199 | 0.230125 | 0.928787 |
| 3 | 0.151527 | 0.232820 | 0.915854 |
| 4 | 0.104623 | 0.245731 | 0.928689 |
| 5 | 0.066595 | 0.274317 | 0.913958 |
| 6 | 0.036444 | 0.315505 | 0.906462 |
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