Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 142738.63929533958 |
| Emissions (Co2eq in kg) | 0.08637327097669 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.685104324448109 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1486841508855426 |
| Consumed energy (kWh) | 1.8337884753336464 |
| 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) | 0.2747718806435287 |
| Emissions (Co2eq in kg) | 0.05590596705734133 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_17e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.7e-05 |
| batch_size | 1 |
| 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 | 0.701429 | 0.264058 |
| 1 | 0.396302 | 0.306131 | 0.885211 |
| 2 | 0.396205 | 0.371622 | 0.898833 |
| 3 | 0.294302 | 0.275949 | 0.892807 |
| 4 | 0.231797 | 0.271128 | 0.905034 |
| 5 | 0.213708 | 0.287042 | 0.895550 |
| 6 | 0.205787 | 0.282747 | 0.901286 |
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