Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 48707.72151255608 |
| Emissions (Co2eq in kg) | 0.0294738165084835 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.5750208622387717 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0507369031692544 |
| Consumed energy (kWh) | 0.6257577654080286 |
| 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) | 0.09376236391167045 |
| Emissions (Co2eq in kg) | 0.019077190925751133 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_14e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.4e-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 | 0.708510 | 0.332460 |
| 1 | 0.308986 | 0.230178 | 0.909861 |
| 2 | 0.184904 | 0.211419 | 0.924938 |
| 3 | 0.128324 | 0.239823 | 0.924368 |
| 4 | 0.074300 | 0.282441 | 0.936272 |
| 5 | 0.044291 | 0.327128 | 0.909196 |
| 6 | 0.032622 | 0.391054 | 0.921756 |
- Downloads last month
- -