Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 125886.98995184898 |
| Emissions (Co2eq in kg) | 0.0761761304988625 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.4861623643298911 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1311309096741174 |
| Consumed energy (kWh) | 1.6172932740040036 |
| 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) | 0.2423324556573093 |
| Emissions (Co2eq in kg) | 0.04930573773114085 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_17e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.7e-05 |
| batch_size | 1 |
| 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 | 0.723216 | 0.485048 |
| 1 | 0.495929 | 0.597257 | 0.618294 |
| 2 | 0.472406 | 0.500370 | 0.723210 |
| 3 | 0.426699 | 0.412985 | 0.711219 |
| 4 | 0.375053 | 0.392920 | 0.892864 |
| 5 | 0.284502 | 0.293042 | 0.918699 |
| 6 | 0.212256 | 0.278543 | 0.918602 |
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