| | --- |
| | 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) | 89879.75249314308 | |
| | | Emissions (Co2eq in kg) | 0.0543875916246635 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 3.75 | |
| | | CPU energy (kWh) | 1.0610777661000692 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.0936236547755697 | |
| | | Consumed energy (kWh) | 1.1547014208756416 | |
| | | 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) | 0.17301852354930042 | |
| | | Emissions (Co2eq in kg) | 0.03520290305981437 | |
| |
|
| | ## Note |
| |
|
| | 12 juillet 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | damgomz/fp_bs16_lr1e4_x2 | |
| | | model_name | ft_4_2e6_x2 | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 2e-06 | |
| | | 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 | 0.711125 | 0.223355 | |
| | | 1 | 0.386596 | 0.281003 | 0.896231 | |
| | | 2 | 0.239136 | 0.235885 | 0.917392 | |
| | | 3 | 0.191874 | 0.228455 | 0.912420 | |
| | | 4 | 0.158760 | 0.229514 | 0.918510 | |
| | | 5 | 0.129154 | 0.230833 | 0.922895 | |
| | | 6 | 0.100880 | 0.255682 | 0.937990 | |
| |
|
