Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 160586.08283376694 |
| Emissions (Co2eq in kg) | 0.1208097848805002 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 15.0 |
| CPU energy (kWh) | 1.8958049643144008 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.669104164589444 |
| Consumed energy (kWh) | 2.56490912890385 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 6 |
| 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) | 0.30912820945500136 |
| Emissions (Co2eq in kg) | 0.06289621577655873 |
Note
24 juin 2024 !
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | fp_bs2_lr5_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-05 |
| batch_size | 2 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 328543 |
Training and Testing steps
| Epoch | Train Loss | Test Loss |
|---|---|---|
| 0.0 | 13.943065 | 3.881041 |
| 0.5 | 6.448192 | 7.126020 |
| 1.0 | 7.122141 | 7.114459 |
| 1.5 | 7.108484 | 7.099006 |
| 2.0 | 7.076258 | 7.062726 |
| 2.5 | 7.055377 | 7.023938 |
| 3.0 | 6.992071 | 6.990971 |
| 3.5 | 6.975035 | 6.957550 |
| 4.0 | 6.967830 | 6.964301 |
| 4.5 | 6.952859 | 6.952685 |
| 5.0 | 6.936734 | 6.931617 |
| 5.5 | 6.930434 | 6.928600 |
| 6.0 | 6.923088 | 6.927239 |
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