Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 84950.49293375015 |
| Emissions (Co2eq in kg) | 0.0514048208855402 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.002885213040314 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0884890865614017 |
| Consumed energy (kWh) | 1.0913742996017115 |
| 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) | 0.16352969889746902 |
| Emissions (Co2eq in kg) | 0.03327227639905214 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_6e6_base_x12 |
| 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 | 0.692238 | 0.565146 |
| 1 | 0.367649 | 0.291742 | 0.899402 |
| 2 | 0.245572 | 0.225495 | 0.920953 |
| 3 | 0.199567 | 0.226506 | 0.905821 |
| 4 | 0.172415 | 0.221433 | 0.921497 |
| 5 | 0.145729 | 0.237749 | 0.927622 |
| 6 | 0.117187 | 0.252346 | 0.918322 |
- Downloads last month
- -