Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 67712.96358895302 |
| Emissions (Co2eq in kg) | 0.0409741595063809 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7993875543463544 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0705336682684716 |
| Consumed energy (kWh) | 0.8699212226148262 |
| 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) | 0.13034745490873456 |
| Emissions (Co2eq in kg) | 0.026520910739006597 |
Note
21 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_1e6_base |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-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 | 32586 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.585760 | 0.506497 | 0.758684 | 0.863976 |
| 1 | 0.455673 | 0.426805 | 0.806273 | 0.827536 |
| 2 | 0.385133 | 0.391296 | 0.821448 | 0.816982 |
| 3 | 0.340157 | 0.381730 | 0.828961 | 0.861879 |
| 4 | 0.298933 | 0.385058 | 0.831023 | 0.834253 |
| 5 | 0.258766 | 0.392635 | 0.825573 | 0.849310 |
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