Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 77335.93838191032 |
| Emissions (Co2eq in kg) | 0.0467971587987197 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.912991678187252 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0805574778544405 |
| Consumed energy (kWh) | 0.9935491560416928 |
| 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) | 0.14887168138517737 |
| Emissions (Co2eq in kg) | 0.030289909199581543 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_4e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 4e-06 |
| batch_size | 8 |
| 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 | 0.748728 | 0.590238 |
| 1 | 0.329840 | 0.231606 | 0.905305 |
| 2 | 0.193484 | 0.205882 | 0.924728 |
| 3 | 0.143630 | 0.207906 | 0.920152 |
| 4 | 0.094940 | 0.243248 | 0.906569 |
| 5 | 0.061143 | 0.273450 | 0.921536 |
| 6 | 0.035768 | 0.300494 | 0.925225 |
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