Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 71832.20314526558 |
| Emissions (Co2eq in kg) | 0.0434667651147476 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.848017205489013 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0748244563599428 |
| Consumed energy (kWh) | 0.9228416618489558 |
| 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) | 0.13827699105463623 |
| Emissions (Co2eq in kg) | 0.028134279565229015 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_15e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.5e-05 |
| 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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.725213 | 0.323829 |
| 1 | 0.308142 | 0.225736 | 0.909666 |
| 2 | 0.182370 | 0.253100 | 0.916715 |
| 3 | 0.127769 | 0.271641 | 0.909688 |
| 4 | 0.074474 | 0.293281 | 0.907815 |
| 5 | 0.042815 | 0.323060 | 0.914852 |
| 6 | 0.030504 | 0.367846 | 0.917341 |
- Downloads last month
- 1