Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 71300.66345405579 |
| Emissions (Co2eq in kg) | 0.0431451187442411 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8417420373997773 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0742707594461738 |
| Consumed energy (kWh) | 0.9160127968459512 |
| 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) | 0.13725377714905737 |
| Emissions (Co2eq in kg) | 0.027926093186171848 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_15e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.5e-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 | 0.750938 | 0.811297 |
| 1 | 0.313397 | 0.223373 | 0.904675 |
| 2 | 0.188140 | 0.206473 | 0.915484 |
| 3 | 0.135871 | 0.224724 | 0.933423 |
| 4 | 0.094995 | 0.255774 | 0.916496 |
| 5 | 0.068506 | 0.282793 | 0.917980 |
| 6 | 0.043524 | 0.319166 | 0.906638 |
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