Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 68727.64800930023 |
| Emissions (Co2eq in kg) | 0.0415881187216835 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8113658048225777 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0715903685428203 |
| Consumed energy (kWh) | 0.8829561733653966 |
| 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) | 0.13230072241790294 |
| Emissions (Co2eq in kg) | 0.02691832880364259 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_1e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-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 | 0.733035 | 0.328035 |
| 1 | 0.413878 | 0.299431 | 0.903471 |
| 2 | 0.254433 | 0.241446 | 0.912406 |
| 3 | 0.206455 | 0.227045 | 0.921698 |
| 4 | 0.175900 | 0.227414 | 0.926460 |
| 5 | 0.151386 | 0.220339 | 0.916305 |
| 6 | 0.127847 | 0.234002 | 0.931684 |
- Downloads last month
- -