Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 69735.2373611927 |
| Emissions (Co2eq in kg) | 0.0421978723836656 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8232615908458861 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.072640245286375 |
| Consumed energy (kWh) | 0.895901836132261 |
| 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) | 0.13424033192029594 |
| Emissions (Co2eq in kg) | 0.027312967966467143 |
Note
14 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_8_9e6_base_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 9e-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 | 0.706707 | 0.511823 |
| 1 | 0.332728 | 0.245959 | 0.915522 |
| 2 | 0.220248 | 0.233068 | 0.906490 |
| 3 | 0.180942 | 0.216225 | 0.931946 |
| 4 | 0.147571 | 0.226364 | 0.917029 |
| 5 | 0.114111 | 0.265314 | 0.902736 |
| 6 | 0.088464 | 0.285547 | 0.900343 |
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