Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 77501.11477684975 |
| Emissions (Co2eq in kg) | 0.0468971171156898 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9149418075708864 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0807295606737338 |
| Consumed energy (kWh) | 0.9956713682446208 |
| 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) | 0.14918964594543577 |
| Emissions (Co2eq in kg) | 0.030354603287599483 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_4e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 4e-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 | 0.712805 | 0.454676 |
| 1 | 0.314139 | 0.225817 | 0.900470 |
| 2 | 0.187321 | 0.229224 | 0.930860 |
| 3 | 0.135079 | 0.235779 | 0.926265 |
| 4 | 0.085142 | 0.249018 | 0.923784 |
| 5 | 0.046076 | 0.328249 | 0.902957 |
| 6 | 0.026745 | 0.361188 | 0.908276 |
- Downloads last month
- -