Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 31525.332528352737 |
| Emissions (Co2eq in kg) | 0.0193858122759137 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 4.500000000000001 |
| CPU energy (kWh) | 0.3721733759154877 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0394062567019462 |
| Consumed energy (kWh) | 0.4115796326174337 |
| 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) | 0.060686265117079016 |
| Emissions (Co2eq in kg) | 0.012347421906938156 |
Note
17 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs16_lr6_base_x4 |
| sequence_length | 400 |
| num_epoch | 12 |
| learning_rate | 5e-06 |
| 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 | 65160 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.448223 | 0.404151 | 0.823270 | 0.918712 |
| 1 | 0.347356 | 0.380528 | 0.839470 | 0.904908 |
| 2 | 0.298852 | 0.393898 | 0.837261 | 0.829755 |
| 3 | 0.248956 | 0.408337 | 0.831370 | 0.800613 |
| 4 | 0.188713 | 0.523134 | 0.826951 | 0.811350 |
| 5 | 0.127459 | 0.518127 | 0.814433 | 0.855828 |
| 6 | 0.073867 | 0.667144 | 0.815169 | 0.874233 |
| 7 | 0.046921 | 0.809258 | 0.814433 | 0.812883 |
| 8 | 0.036878 | 0.876000 | 0.803387 | 0.838957 |
| 9 | 0.036106 | 0.637194 | 0.809278 | 0.762270 |
| 10 | 0.027892 | 0.864272 | 0.817378 | 0.785276 |
| 11 | 0.011581 | 0.962748 | 0.812960 | 0.832822 |
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