| | --- |
| | 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) | [More Information Needed] | |
| | | Emissions (Co2eq in kg) | [More Information Needed] | |
| | | CPU power (W) | [NO CPU] | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | [More Information Needed] | |
| | | CPU energy (kWh) | [No CPU] | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | [More Information Needed] | |
| | | Consumed energy (kWh) | [More Information Needed] | |
| | | Country name | [More Information Needed] | |
| | | Cloud provider | [No Cloud] | |
| | | Cloud region | [No Cloud] | |
| | | CPU count | [No CPU] | |
| | | CPU model | [No CPU] | |
| | | GPU count | [No GPU] | |
| | | GPU model | [No GPU] | |
| |
|
| | ## Environmental Impact (for one core) |
| |
|
| | | Metric | Value | |
| | |--------------------------|---------------------------------| |
| | | CPU energy (kWh) | [No CPU] | |
| | | Emissions (Co2eq in kg) | [More Information Needed] | |
| |
|
| | ## Note |
| |
|
| | 20 Juin 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | recovering | |
| | | model_name | ft_8_12e6_base_x2 | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 1.2e-05 | |
| | | batch_size | 8 | |
| | | weight_decay | 0.0 | |
| | | warm_up_prop | 0.0 | |
| | | drop_out_prob | 0.1 | |
| | | packing_length | 100 | |
| | | train_test_split | 0.2 | |
| | | num_steps | 1 | |
| |
|
| | ## Training and Testing steps |
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| | |
| | Epoch | Train Loss | Test Loss | F-beta Score |
| | ---|---|---|--- |
| | | 0 | 0.000000 | 0.723395 | 0.464773 | |
| | | 1 | 0.287562 | 0.239798 | 0.913108 | |
| | | 2 | 0.186648 | 0.238462 | 0.931404 | |
| | | 3 | 0.132085 | 0.277007 | 0.889860 | |
| | | 4 | 0.082917 | 0.277404 | 0.931897 | |
| | | 5 | 0.054986 | 0.336345 | 0.909360 | |
| | | 6 | 0.036849 | 0.353699 | 0.916457 | |
| |
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