Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 67625.15619707108 |
| Emissions (Co2eq in kg) | 0.0409210267090644 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7983509253144281 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0704422363820175 |
| Consumed energy (kWh) | 0.8687931616964483 |
| 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) | 0.1301784256793618 |
| Emissions (Co2eq in kg) | 0.026486519510519498 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_11e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.1e-05 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.704286 | 0.437405 |
| 1 | 0.330187 | 0.242732 | 0.939067 |
| 2 | 0.194050 | 0.230007 | 0.907106 |
| 3 | 0.146359 | 0.229586 | 0.909991 |
| 4 | 0.098502 | 0.233764 | 0.932297 |
| 5 | 0.064628 | 0.255224 | 0.916755 |
| 6 | 0.047931 | 0.288994 | 0.918727 |
- Downloads last month
- -