Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 93656.63418769836 |
| Emissions (Co2eq in kg) | 0.0566730291084483 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.105665677199434 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0975578023115795 |
| Consumed energy (kWh) | 1.2032234795110155 |
| 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) | 0.18028902081131934 |
| Emissions (Co2eq in kg) | 0.036682181723515186 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_10e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-05 |
| batch_size | 4 |
| 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 | 0.771826 | 0.452522 |
| 1 | 0.298150 | 0.225640 | 0.935236 |
| 2 | 0.192938 | 0.222287 | 0.935015 |
| 3 | 0.145186 | 0.231643 | 0.913735 |
| 4 | 0.103925 | 0.249424 | 0.927651 |
| 5 | 0.070025 | 0.270552 | 0.917309 |
| 6 | 0.045620 | 0.305436 | 0.916324 |
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