Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 67066.01823425293 |
| Emissions (Co2eq in kg) | 0.0405827076181943 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7917503857961952 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0698599328423538 |
| Consumed energy (kWh) | 0.8616103186385505 |
| 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) | 0.12910208510093688 |
| Emissions (Co2eq in kg) | 0.02626752380841573 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_2_9e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-06 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.689259 | 0.333686 |
| 1 | 0.288443 | 0.266196 | 0.931282 |
| 2 | 0.190297 | 0.207230 | 0.919196 |
| 3 | 0.132672 | 0.268150 | 0.922656 |
| 4 | 0.085605 | 0.285674 | 0.923217 |
| 5 | 0.049780 | 0.310621 | 0.921645 |
| 6 | 0.029999 | 0.381314 | 0.922845 |
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