Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 84141.62449789047 |
| Emissions (Co2eq in kg) | 0.0509153560592317 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9933359973132604 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0876464883926012 |
| Consumed energy (kWh) | 1.080982485705861 |
| 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) | 0.16197262715843916 |
| Emissions (Co2eq in kg) | 0.0329554695950071 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_5e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| 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 | 0.730071 | 0.550302 |
| 1 | 0.374210 | 0.248296 | 0.901349 |
| 2 | 0.206695 | 0.234511 | 0.913291 |
| 3 | 0.152858 | 0.228780 | 0.930295 |
| 4 | 0.111139 | 0.244988 | 0.917061 |
| 5 | 0.070761 | 0.259285 | 0.911558 |
| 6 | 0.046198 | 0.291387 | 0.909853 |
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