Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 89317.50667762756 |
| Emissions (Co2eq in kg) | 0.0540473556154179 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.054439920687508 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0930379590903719 |
| Consumed energy (kWh) | 1.1474778797778813 |
| 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) | 0.17193620035443305 |
| Emissions (Co2eq in kg) | 0.03498269011540413 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_5e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| batch_size | 8 |
| 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 | 0.681957 | 0.568187 |
| 1 | 0.329571 | 0.235650 | 0.923454 |
| 2 | 0.189279 | 0.217818 | 0.910218 |
| 3 | 0.134531 | 0.229239 | 0.921664 |
| 4 | 0.089344 | 0.239819 | 0.923530 |
| 5 | 0.055428 | 0.291486 | 0.913669 |
| 6 | 0.034555 | 0.336142 | 0.910054 |
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