Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 22631.866507530212 |
| Emissions (Co2eq in kg) | 0.0139169743825858 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 4.500000000000001 |
| CPU energy (kWh) | 0.267181290489766 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0282895993551612 |
| Consumed energy (kWh) | 0.2954708898449266 |
| 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) | 0.04356634302699566 |
| Emissions (Co2eq in kg) | 0.008864147715449333 |
Note
16 May 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_bs16_lr7_base |
| sequence_length | 400 |
| num_epoch | 10 |
| learning_rate | 5e-07 |
| 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 | 54300 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | Accuracy | Recall |
|---|---|---|---|---|
| 0 | 0.629086 | 0.590556 | 0.692194 | 0.911043 |
| 1 | 0.548482 | 0.540004 | 0.726068 | 0.872699 |
| 2 | 0.501704 | 0.512447 | 0.754786 | 0.886503 |
| 3 | 0.459357 | 0.494099 | 0.770250 | 0.857362 |
| 4 | 0.416389 | 0.479099 | 0.789396 | 0.869632 |
| 5 | 0.380655 | 0.477198 | 0.782032 | 0.888037 |
| 6 | 0.344400 | 0.471280 | 0.786451 | 0.880368 |
| 7 | 0.310361 | 0.469706 | 0.785714 | 0.869632 |
| 8 | 0.280115 | 0.481110 | 0.781296 | 0.869632 |
| 9 | 0.250575 | 0.481127 | 0.770987 | 0.817485 |
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