Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 87232.47545099258 |
| Emissions (Co2eq in kg) | 0.0527857074182897 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0298255866602106 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0908662758966289 |
| Consumed energy (kWh) | 1.12069186255684 |
| 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) | 0.1679225152431607 |
| Emissions (Co2eq in kg) | 0.0341660528849721 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_8e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 8e-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 | 0.725984 | 0.280940 |
| 1 | 0.319651 | 0.235063 | 0.924711 |
| 2 | 0.217198 | 0.254278 | 0.907637 |
| 3 | 0.178010 | 0.221306 | 0.909613 |
| 4 | 0.140471 | 0.224697 | 0.907844 |
| 5 | 0.109601 | 0.252830 | 0.921478 |
| 6 | 0.084322 | 0.340441 | 0.891649 |
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