Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 60623.04388284683 |
| Emissions (Co2eq in kg) | 0.0366839478122947 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7156873837255774 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0631484756467243 |
| Consumed energy (kWh) | 0.778835859372302 |
| 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) | 0.11669935947448015 |
| Emissions (Co2eq in kg) | 0.023744025520781673 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_18e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.8e-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 | 0.686975 | 0.457443 |
| 1 | 0.299301 | 0.233460 | 0.917952 |
| 2 | 0.178452 | 0.234576 | 0.927325 |
| 3 | 0.122078 | 0.265160 | 0.899049 |
| 4 | 0.075007 | 0.359669 | 0.891128 |
| 5 | 0.046868 | 0.363505 | 0.916224 |
| 6 | 0.037300 | 0.425532 | 0.877115 |
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