Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 153423.30297255516 |
| Emissions (Co2eq in kg) | 0.0928387654176466 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.8112430694846675 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1598141356202463 |
| Consumed energy (kWh) | 1.971057205104915 |
| 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) | 0.2953398582221686 |
| Emissions (Co2eq in kg) | 0.06009079366425077 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_3e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 3e-06 |
| batch_size | 1 |
| 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 | 0.717395 | 0.199558 |
| 1 | 0.296616 | 0.242257 | 0.904033 |
| 2 | 0.197293 | 0.221680 | 0.909009 |
| 3 | 0.152478 | 0.225714 | 0.919388 |
| 4 | 0.110032 | 0.253122 | 0.924277 |
| 5 | 0.071556 | 0.317459 | 0.904319 |
| 6 | 0.043507 | 0.359531 | 0.905182 |
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