Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 105796.31786847116 |
| Emissions (Co2eq in kg) | 0.0640189329569464 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.24898093185077 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1102032246840496 |
| Consumed energy (kWh) | 1.3591841565348166 |
| 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) | 0.203657911896807 |
| Emissions (Co2eq in kg) | 0.0414368911651512 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_7e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 7e-06 |
| batch_size | 4 |
| 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 | 0.702851 | 0.339250 |
| 1 | 0.322507 | 0.263593 | 0.886635 |
| 2 | 0.216424 | 0.218209 | 0.914816 |
| 3 | 0.175599 | 0.232808 | 0.933804 |
| 4 | 0.141248 | 0.253403 | 0.915135 |
| 5 | 0.107522 | 0.269331 | 0.905665 |
| 6 | 0.080478 | 0.283457 | 0.920153 |
- Downloads last month
- -