Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 54134.68572402 |
| Emissions (Co2eq in kg) | 0.0327577488105823 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.6390889415409816 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0563898977741597 |
| Consumed energy (kWh) | 0.6954788393151378 |
| 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) | 0.10420927001873848 |
| Emissions (Co2eq in kg) | 0.021202751908574496 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_13e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.3e-05 |
| batch_size | 16 |
| 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 | 0.722750 | 0.126831 |
| 1 | 0.312973 | 0.232040 | 0.902013 |
| 2 | 0.200065 | 0.247682 | 0.911960 |
| 3 | 0.154085 | 0.242135 | 0.926933 |
| 4 | 0.113182 | 0.278808 | 0.914526 |
| 5 | 0.079380 | 0.298451 | 0.904329 |
| 6 | 0.052430 | 0.355553 | 0.921552 |
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