Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 88884.77698659897 |
| Emissions (Co2eq in kg) | 0.0537855138699561 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.049331471252606 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0925872538266082 |
| Consumed energy (kWh) | 1.1419187250792164 |
| 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) | 0.17110319569920301 |
| Emissions (Co2eq in kg) | 0.03481320431975127 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_9e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-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 | 0.711178 | 0.303213 |
| 1 | 0.303538 | 0.238333 | 0.920930 |
| 2 | 0.201302 | 0.233842 | 0.917758 |
| 3 | 0.158000 | 0.249642 | 0.904558 |
| 4 | 0.116038 | 0.278380 | 0.894518 |
| 5 | 0.077639 | 0.300318 | 0.921459 |
| 6 | 0.052857 | 0.382190 | 0.908050 |
- Downloads last month
- -