Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 15632.51683139801 |
| Emissions (Co2eq in kg) | 0.0102264592683038 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 7.5 |
| CPU energy (kWh) | 0.18455020764586 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0325674600958824 |
| Consumed energy (kWh) | 0.2171176677417424 |
| Country name | Switzerland |
| Cloud provider | nan |
| Cloud region | nan |
| CPU count | 3 |
| 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) | 0.030092594900441166 |
| Emissions (Co2eq in kg) | 0.00612273575896422 |
Note
16 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs64_lr7_base |
| sequence_length | 400 |
| num_epoch | 10 |
| learning_rate | 5e-07 |
| batch_size | 64 |
| weight_decay | 0.0 |
| warm_up_prop | 0.0 |
| drop_out_prob | 0.1 |
| packing_length | 100 |
| train_test_split | 0.2 |
| num_steps | 54300 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.632340 | 0.605113 | 0.685567 | 0.815951 |
| 1 | 0.586177 | 0.575657 | 0.709867 | 0.831288 |
| 2 | 0.546068 | 0.549037 | 0.737850 | 0.803681 |
| 3 | 0.509133 | 0.523782 | 0.750368 | 0.774540 |
| 4 | 0.474285 | 0.502116 | 0.763623 | 0.773006 |
| 5 | 0.440148 | 0.482997 | 0.782769 | 0.808282 |
| 6 | 0.411904 | 0.476160 | 0.771723 | 0.748466 |
| 7 | 0.377375 | 0.467880 | 0.787923 | 0.831288 |
| 8 | 0.345489 | 0.474640 | 0.776878 | 0.838957 |
| 9 | 0.314638 | 0.477554 | 0.773932 | 0.809816 |
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