Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 47095.21701455116 |
| Emissions (Co2eq in kg) | 0.0284980561310555 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.5559842806259786 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0490571437823275 |
| Consumed energy (kWh) | 0.6050414244083056 |
| 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) | 0.090658292753011 |
| Emissions (Co2eq in kg) | 0.018445626664032537 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_15e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.5e-05 |
| 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 | 0.725734 | 0.502738 |
| 1 | 0.297658 | 0.213796 | 0.922230 |
| 2 | 0.187423 | 0.217399 | 0.929055 |
| 3 | 0.146093 | 0.217518 | 0.934125 |
| 4 | 0.100691 | 0.231138 | 0.926238 |
| 5 | 0.072429 | 0.276284 | 0.910726 |
| 6 | 0.054226 | 0.323640 | 0.931292 |
- Downloads last month
- 1