Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 84122.022108078 |
| Emissions (Co2eq in kg) | 0.0509034944062452 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9931045823673416 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0876260689191518 |
| Consumed energy (kWh) | 1.0807306512864956 |
| 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) | 0.16193489255805013 |
| Emissions (Co2eq in kg) | 0.03294779199233055 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_6e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 6e-06 |
| batch_size | 16 |
| 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 | 0.723117 | 0.820583 |
| 1 | 0.335745 | 0.249208 | 0.897324 |
| 2 | 0.213502 | 0.220193 | 0.911722 |
| 3 | 0.174200 | 0.227011 | 0.924670 |
| 4 | 0.140904 | 0.252935 | 0.926613 |
| 5 | 0.102758 | 0.269159 | 0.902466 |
| 6 | 0.069164 | 0.305057 | 0.920330 |
- Downloads last month
- 0