Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 77766.42371606827 |
| Emissions (Co2eq in kg) | 0.0470576441493907 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9180736756990344 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0810058374618491 |
| Consumed energy (kWh) | 0.9990795131608836 |
| 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) | 0.14970036565343142 |
| Emissions (Co2eq in kg) | 0.03045851595546007 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_18e6_base_x1 |
| 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 | 0.700395 | 0.790555 |
| 1 | 0.318444 | 0.230828 | 0.920868 |
| 2 | 0.189804 | 0.222478 | 0.902729 |
| 3 | 0.161528 | 0.230840 | 0.925825 |
| 4 | 0.115337 | 0.252489 | 0.905116 |
| 5 | 0.078328 | 0.268760 | 0.908056 |
| 6 | 0.056382 | 0.281858 | 0.912528 |
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