Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 83741.29759025574 |
| Emissions (Co2eq in kg) | 0.0506731160404761 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9886099754863296 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0872295192266502 |
| Consumed energy (kWh) | 1.0758394947129823 |
| 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) | 0.16120199786124229 |
| Emissions (Co2eq in kg) | 0.032798674889516835 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_1e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-06 |
| 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 | 0.801658 | 0.334963 |
| 1 | 0.565470 | 0.464311 | 0.856138 |
| 2 | 0.406829 | 0.365098 | 0.884232 |
| 3 | 0.316148 | 0.301531 | 0.881326 |
| 4 | 0.255616 | 0.268551 | 0.910092 |
| 5 | 0.212830 | 0.246640 | 0.913674 |
| 6 | 0.181439 | 0.245415 | 0.905188 |
- Downloads last month
- -