Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 54492.29978084564 |
| Emissions (Co2eq in kg) | 0.0329741509828358 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.6433108421163447 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0567624256027241 |
| Consumed energy (kWh) | 0.7000732677190684 |
| 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) | 0.10489767707812786 |
| Emissions (Co2eq in kg) | 0.021342817414164543 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_10e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-05 |
| batch_size | 32 |
| 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 | 0.734880 | 0.591007 |
| 1 | 0.339730 | 0.227890 | 0.925695 |
| 2 | 0.193068 | 0.229836 | 0.933185 |
| 3 | 0.142397 | 0.214513 | 0.917664 |
| 4 | 0.092663 | 0.246131 | 0.917786 |
| 5 | 0.060364 | 0.298660 | 0.887692 |
| 6 | 0.040224 | 0.363768 | 0.884661 |
- Downloads last month
- -