| | --- |
| | 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) | 108711.56961870192 | |
| | | Emissions (Co2eq in kg) | 0.0657830198050146 | |
| | | CPU power (W) | 42.5 | |
| | | GPU power (W) | [No GPU] | |
| | | RAM power (W) | 3.75 | |
| | | CPU energy (kWh) | 1.2833975351457794 | |
| | | GPU energy (kWh) | [No GPU] | |
| | | RAM energy (kWh) | 0.1132398994100592 | |
| | | Consumed energy (kWh) | 1.39663743455584 | |
| | | 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) | 0.20926977151600118 | |
| | | Emissions (Co2eq in kg) | 0.04257869810065825 | |
| |
|
| | ## Note |
| |
|
| | 14 juin 2024 |
| |
|
| | ## My Config |
| |
|
| | | Config | Value | |
| | |--------------------------|-----------------| |
| | | checkpoint | albert-base-v2 | |
| | | model_name | ft_2_8e6_base_x2 | |
| | | sequence_length | 400 | |
| | | num_epoch | 6 | |
| | | learning_rate | 8e-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 |
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| | Epoch | Train Loss | Test Loss | F-beta Score |
| | ---|---|---|--- |
| | | 0 | 0.000000 | 0.690874 | 0.826036 | |
| | | 1 | 0.284689 | 0.254471 | 0.911141 | |
| | | 2 | 0.186910 | 0.232573 | 0.924964 | |
| | | 3 | 0.129721 | 0.235317 | 0.931109 | |
| | | 4 | 0.076416 | 0.289641 | 0.910793 | |
| | | 5 | 0.041667 | 0.370580 | 0.905744 | |
| | | 6 | 0.025474 | 0.385148 | 0.918276 | |
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