Environmental Impact (CODE CARBON DEFAULT)
| Metric | Value |
|---|---|
| Duration (in seconds) | 96636.40287780762 |
| Emissions (Co2eq in kg) | 0.0584761529327319 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.1408436926250645 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1006618578458824 |
| Consumed energy (kWh) | 1.2415055504709451 |
| 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) | 0.18602507553977968 |
| Emissions (Co2eq in kg) | 0.03784925779380799 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_4_19e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.9e-05 |
| batch_size | 4 |
| 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 | 0.741993 | 0.374788 |
| 1 | 0.329276 | 0.293971 | 0.918646 |
| 2 | 0.248412 | 0.263736 | 0.892279 |
| 3 | 0.206235 | 0.258024 | 0.913444 |
| 4 | 0.167725 | 0.251370 | 0.904837 |
| 5 | 0.132347 | 0.328509 | 0.894190 |
| 6 | 0.116706 | 0.302559 | 0.909663 |
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