Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 99386.57754325868 |
| Emissions (Co2eq in kg) | 0.0601403347600176 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.173311165798372 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1035265820205213 |
| Consumed energy (kWh) | 1.2768377478188917 |
| 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) | 0.19131916177077296 |
| Emissions (Co2eq in kg) | 0.03892640953777632 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_17e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.7e-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 | 0.710423 | 0.179513 |
| 1 | 0.309255 | 0.271906 | 0.890011 |
| 2 | 0.229729 | 0.252263 | 0.912838 |
| 3 | 0.187732 | 0.257567 | 0.920398 |
| 4 | 0.152391 | 0.274794 | 0.916626 |
| 5 | 0.124337 | 0.293389 | 0.918958 |
| 6 | 0.097752 | 0.291398 | 0.904726 |
- Downloads last month
- -