Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 68766.21276664734 |
| Emissions (Co2eq in kg) | 0.0416115036104767 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8118218287082183 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0716308285703264 |
| Consumed energy (kWh) | 0.8834526572785455 |
| 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) | 0.13237495957579612 |
| Emissions (Co2eq in kg) | 0.026933433333603537 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_11e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.1e-05 |
| 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 | 0.710617 | 0.509886 |
| 1 | 0.338455 | 0.250426 | 0.890439 |
| 2 | 0.214005 | 0.222999 | 0.925721 |
| 3 | 0.165656 | 0.228164 | 0.936637 |
| 4 | 0.128775 | 0.273561 | 0.884398 |
| 5 | 0.093063 | 0.281123 | 0.909365 |
| 6 | 0.063092 | 0.332259 | 0.906240 |
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