| --- |
| language: en |
| tags: |
| - text-classification |
| pipeline_tag: text-classification |
| widget: |
| - text: GEPS Techno is the pioneer of hybridization of renewable energies at sea. |
| We imagine, design and commercialize innovative off-grid systems that aim to generate |
| power at sea, stabilize and collect data. The success of our low power platforms |
| WAVEPEAL enabled us to scale-up the device up to WAVEGEM, the 150-kW capacity |
| platform. |
| --- |
| |
| ## Environmental Impact (CODE CARBON DEFAULT) |
|
|
| | Metric | Value | |
| |--------------------------|---------------------------------| |
| | Duration (in seconds) | 109128.0787191391 | |
| | Emissions (Co2eq in kg) | 0.066035036590899 | |
| | CPU power (W) | 42.5 | |
| | GPU power (W) | [No GPU] | |
| | RAM power (W) | 3.75 | |
| | CPU energy (kWh) | 1.288314272933039 | |
| | GPU energy (kWh) | [No GPU] | |
| | RAM energy (kWh) | 0.1136737228823199 | |
| | Consumed energy (kWh) | 1.401987995815355 | |
| | 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) | 0.21007155153434273 | |
| | Emissions (Co2eq in kg) | 0.04274183083166281 | |
|
|
| ## Note |
|
|
| 19 juin 2024 |
|
|
| ## My Config |
|
|
| | Config | Value | |
| |--------------------------|-----------------| |
| | checkpoint | albert-base-v2 | |
| | model_name | ft_2_10e6_base_x2 | |
| | sequence_length | 400 | |
| | num_epoch | 6 | |
| | learning_rate | 1e-05 | |
| | batch_size | 2 | |
| | 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 | 0.747017 | 0.474479 | |
| | 1 | 0.289798 | 0.246772 | 0.883205 | |
| | 2 | 0.196576 | 0.223664 | 0.916465 | |
| | 3 | 0.144822 | 0.234542 | 0.915672 | |
| | 4 | 0.098426 | 0.311422 | 0.911122 | |
| | 5 | 0.065983 | 0.312744 | 0.923094 | |
| | 6 | 0.041055 | 0.353675 | 0.920285 | |
|
|