Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 84176.29827260971 |
| Emissions (Co2eq in kg) | 0.0509363362582879 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9937453251808904 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0876825905382633 |
| Consumed energy (kWh) | 1.0814279157191553 |
| 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) | 0.16203937417477368 |
| Emissions (Co2eq in kg) | 0.03296905015677214 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_8e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 8e-06 |
| 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 | 0.724046 | 0.350004 |
| 1 | 0.313298 | 0.236448 | 0.903415 |
| 2 | 0.191825 | 0.224330 | 0.907340 |
| 3 | 0.144234 | 0.243438 | 0.921296 |
| 4 | 0.096189 | 0.296651 | 0.891914 |
| 5 | 0.058207 | 0.321761 | 0.920514 |
| 6 | 0.039158 | 0.371767 | 0.909379 |
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