Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 61674.23113369942 |
| Emissions (Co2eq in kg) | 0.0373200386737911 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.7280972569002043 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0642434295775989 |
| Consumed energy (kWh) | 0.7923406864778062 |
| 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) | 0.11872289493237138 |
| Emissions (Co2eq in kg) | 0.024155740527365605 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_16_16e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.6e-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 | 0.769936 | 0.502206 |
| 1 | 0.298783 | 0.218988 | 0.940190 |
| 2 | 0.176145 | 0.216277 | 0.932019 |
| 3 | 0.126841 | 0.263463 | 0.922104 |
| 4 | 0.083376 | 0.269991 | 0.912333 |
| 5 | 0.053033 | 0.354715 | 0.903760 |
| 6 | 0.038264 | 0.346574 | 0.901914 |
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