Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 84539.75965476036 |
| Emissions (Co2eq in kg) | 0.0511562729840986 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9980362497814824 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0880611363482973 |
| Consumed energy (kWh) | 1.0860973861297774 |
| 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) | 0.16273903733541367 |
| Emissions (Co2eq in kg) | 0.03311140586478114 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_9e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-06 |
| batch_size | 16 |
| 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 | 0.705356 | 0.604211 |
| 1 | 0.312897 | 0.236803 | 0.912878 |
| 2 | 0.193284 | 0.226874 | 0.900259 |
| 3 | 0.146388 | 0.231466 | 0.924080 |
| 4 | 0.098486 | 0.287440 | 0.912345 |
| 5 | 0.058916 | 0.328273 | 0.906626 |
| 6 | 0.043023 | 0.362354 | 0.897338 |
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