Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 97029.96962046625 |
| Emissions (Co2eq in kg) | 0.0587142994425451 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.1454898388114247 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1010717934797204 |
| Consumed energy (kWh) | 1.246561632291144 |
| 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) | 0.18678269151939753 |
| Emissions (Co2eq in kg) | 0.03800340476801595 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_3e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 3e-06 |
| 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 | 0.693706 | 0.502583 |
| 1 | 0.355375 | 0.286424 | 0.905690 |
| 2 | 0.246051 | 0.243346 | 0.887560 |
| 3 | 0.202660 | 0.218401 | 0.902835 |
| 4 | 0.172779 | 0.223828 | 0.923023 |
| 5 | 0.147841 | 0.230737 | 0.915841 |
| 6 | 0.122576 | 0.259144 | 0.894094 |
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