| | --- |
| | 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) | 109744.66735863686 | |
| | | Emissions (Co2eq in kg) | 0.0664081485766787 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 3.75 | |
| | | CPU energy (kWh) | 1.2955934557990862 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.1143160700427988 | |
| | | Consumed energy (kWh) | 1.409909525841888 | |
| | | 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) | 0.21125848466537597 | |
| | | Emissions (Co2eq in kg) | 0.04298332804879944 | |
| |
|
| | ## Note |
| |
|
| | 12 juillet 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | damgomz/fp_bs16_lr1e4_x2 | |
| | | model_name | ft_2_2e6_x2 | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 2e-06 | |
| | | 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 | 0.735680 | 0.189450 | |
| | | 1 | 0.378024 | 0.259177 | 0.905471 | |
| | | 2 | 0.221339 | 0.221339 | 0.930466 | |
| | | 3 | 0.173379 | 0.210020 | 0.929008 | |
| | | 4 | 0.137351 | 0.230074 | 0.923730 | |
| | | 5 | 0.106958 | 0.242936 | 0.922168 | |
| | | 6 | 0.078734 | 0.275371 | 0.922498 | |
| |
|
