Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 74970.83817076683 |
| Emissions (Co2eq in kg) | 0.045365990306223 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8850702592906049 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0780937989294527 |
| Consumed energy (kWh) | 0.9631640582200596 |
| 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) | 0.14431886347872613 |
| Emissions (Co2eq in kg) | 0.02936357828355034 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_1e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-06 |
| batch_size | 32 |
| 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 | 0.711801 | 0.354713 |
| 1 | 0.481434 | 0.374283 | 0.856773 |
| 2 | 0.339181 | 0.313185 | 0.880424 |
| 3 | 0.284833 | 0.277178 | 0.896011 |
| 4 | 0.249096 | 0.256434 | 0.907318 |
| 5 | 0.222722 | 0.240729 | 0.905654 |
| 6 | 0.204609 | 0.235683 | 0.917852 |
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