Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 129653.97757434844 |
| Emissions (Co2eq in kg) | 0.0784555798891334 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.530633473274441 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.135054726320753 |
| Consumed energy (kWh) | 1.6656881995951995 |
| 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) | 0.24958390683062076 |
| Emissions (Co2eq in kg) | 0.05078114121661981 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_1_5e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| batch_size | 1 |
| 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 | 0.702896 | 0.428340 |
| 1 | 0.288542 | 0.214482 | 0.921352 |
| 2 | 0.178487 | 0.216697 | 0.925017 |
| 3 | 0.111280 | 0.236592 | 0.919329 |
| 4 | 0.054545 | 0.301992 | 0.928326 |
| 5 | 0.021919 | 0.389625 | 0.919876 |
| 6 | 0.006475 | 0.460219 | 0.916369 |
- Downloads last month
- -