| --- |
| 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) | 83129.14773869514 | |
| | Emissions (Co2eq in kg) | 0.0503026972475123 | |
| | CPU power (W) | 42.5 | |
| | GPU power (W) | [No GPU] | |
| | RAM power (W) | 3.75 | |
| | CPU energy (kWh) | 0.981383250899613 | |
| | GPU energy (kWh) | [No GPU] | |
| | RAM energy (kWh) | 0.0865918928874032 | |
| | Consumed energy (kWh) | 1.0679751437870175 | |
| | 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) | 0.16002360939698815 | |
| | Emissions (Co2eq in kg) | 0.0325589161976556 | |
|
|
| ## Note |
|
|
| 12 juillet 2024 |
|
|
| ## My Config |
|
|
| | Config | Value | |
| |--------------------------|-----------------| |
| | checkpoint | damgomz/fp_bs32_lr1e4_x4 | |
| | model_name | ft_16_4e6_x4 | |
| | sequence_length | 400 | |
| | num_epoch | 6 | |
| | learning_rate | 4e-06 | |
| | batch_size | 16 | |
| | 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 | 0.696134 | 0.620821 | |
| | 1 | 0.346558 | 0.234887 | 0.918861 | |
| | 2 | 0.200994 | 0.205301 | 0.931106 | |
| | 3 | 0.161309 | 0.216521 | 0.922574 | |
| | 4 | 0.126672 | 0.215300 | 0.942062 | |
| | 5 | 0.092856 | 0.230890 | 0.929574 | |
| | 6 | 0.061982 | 0.274847 | 0.915258 | |
|
|