Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 78768.32392835617 |
| Emissions (Co2eq in kg) | 0.0476639024126978 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9299015276362512 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0820494375810027 |
| Consumed energy (kWh) | 1.011950965217253 |
| 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) | 0.15162902356208563 |
| Emissions (Co2eq in kg) | 0.0308509268719395 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_17e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.7e-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 | 0.702786 | 0.053460 |
| 1 | 0.315886 | 0.238229 | 0.924759 |
| 2 | 0.193645 | 0.229385 | 0.923752 |
| 3 | 0.136677 | 0.235313 | 0.915139 |
| 4 | 0.086468 | 0.321663 | 0.884123 |
| 5 | 0.060418 | 0.296657 | 0.920084 |
| 6 | 0.041358 | 0.356031 | 0.923231 |
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