Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 88411.27286028862 |
| Emissions (Co2eq in kg) | 0.0534989873635195 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.0437414698632246 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.092094019054621 |
| Consumed energy (kWh) | 1.1358354889178468 |
| 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) | 0.1701917002560556 |
| Emissions (Co2eq in kg) | 0.034627748536946376 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_5e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| batch_size | 8 |
| 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 | 0.739716 | 0.251687 |
| 1 | 0.304822 | 0.225629 | 0.907086 |
| 2 | 0.185989 | 0.204773 | 0.927514 |
| 3 | 0.132021 | 0.243115 | 0.901930 |
| 4 | 0.085562 | 0.268958 | 0.929214 |
| 5 | 0.049012 | 0.308518 | 0.919549 |
| 6 | 0.027198 | 0.393153 | 0.891207 |
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