Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 68379.07572484016 |
| Emissions (Co2eq in kg) | 0.0413772446574909 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8072514954851752 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0712276165823142 |
| Consumed energy (kWh) | 0.8784791120674915 |
| 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) | 0.13162972077031732 |
| Emissions (Co2eq in kg) | 0.02678180465889573 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_2e6_base_x4 |
| 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 | 0.711131 | 0.224954 |
| 1 | 0.325029 | 0.244546 | 0.885848 |
| 2 | 0.209381 | 0.235081 | 0.907519 |
| 3 | 0.167810 | 0.242891 | 0.937130 |
| 4 | 0.128924 | 0.228009 | 0.917704 |
| 5 | 0.095865 | 0.254750 | 0.923120 |
| 6 | 0.063582 | 0.313487 | 0.892706 |
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