Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 84055.49200820923 |
| Emissions (Co2eq in kg) | 0.050863255182789 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.992319499941666 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0875568335287273 |
| Consumed energy (kWh) | 1.0798763334703938 |
| 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) | 0.16180682211580277 |
| Emissions (Co2eq in kg) | 0.032921734369881946 |
Note
21 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_1e6_base |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-06 |
| 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 | 32586 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.601054 | 0.541133 | 0.737178 | 0.841699 |
| 1 | 0.497217 | 0.475979 | 0.778429 | 0.853965 |
| 2 | 0.427722 | 0.442907 | 0.795959 | 0.866545 |
| 3 | 0.370634 | 0.431111 | 0.797575 | 0.823108 |
| 4 | 0.322800 | 0.436151 | 0.801262 | 0.808254 |
| 5 | 0.273025 | 0.449454 | 0.796988 | 0.803851 |
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