Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 77700.03057289124 |
| Emissions (Co2eq in kg) | 0.0470174637280042 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9172898149950623 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0809366287748019 |
| Consumed energy (kWh) | 0.998226443769862 |
| 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) | 0.14957255885281565 |
| Emissions (Co2eq in kg) | 0.0304325119743824 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_14e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.4e-05 |
| 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 | 0.715344 | 0.146503 |
| 1 | 0.293783 | 0.213767 | 0.928332 |
| 2 | 0.181299 | 0.242876 | 0.940576 |
| 3 | 0.122983 | 0.248963 | 0.919867 |
| 4 | 0.083952 | 0.308502 | 0.919529 |
| 5 | 0.048113 | 0.343619 | 0.934086 |
| 6 | 0.039213 | 0.343463 | 0.918635 |
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