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--- |
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language: en |
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tags: |
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- text-classification |
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pipeline_tag: text-classification |
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widget: |
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- text: GEPS Techno is the pioneer of hybridization of renewable energies at sea. |
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We imagine, design and commercialize innovative off-grid systems that aim to generate |
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power at sea, stabilize and collect data. The success of our low power platforms |
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WAVEPEAL enabled us to scale-up the device up to WAVEGEM, the 150-kW capacity |
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platform. |
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--- |
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## Environmental Impact (CODE CARBON DEFAULT) |
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| Metric | Value | |
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|--------------------------|---------------------------------| |
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| Duration (in seconds) | [More Information Needed] | |
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| Emissions (Co2eq in kg) | [More Information Needed] | |
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| CPU power (W) | [NO CPU] | |
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| GPU power (W) | [No GPU] | |
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| RAM power (W) | [More Information Needed] | |
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| CPU energy (kWh) | [No CPU] | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | [More Information Needed] | |
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| Consumed energy (kWh) | [More Information Needed] | |
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| Country name | [More Information Needed] | |
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| Cloud provider | [No Cloud] | |
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| Cloud region | [No Cloud] | |
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| CPU count | [No CPU] | |
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| CPU model | [No CPU] | |
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| GPU count | [No GPU] | |
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| GPU model | [No GPU] | |
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## Environmental Impact (for one core) |
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| Metric | Value | |
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|--------------------------|---------------------------------| |
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| CPU energy (kWh) | [No CPU] | |
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| Emissions (Co2eq in kg) | [More Information Needed] | |
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## Note |
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20 Juin 2024 |
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## My Config |
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| Config | Value | |
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|--------------------------|-----------------| |
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| checkpoint | recovering | |
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| model_name | ft_32_16e6_x2 | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 1.6e-05 | |
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| batch_size | 32 | |
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| weight_decay | 0.0 | |
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| warm_up_prop | 0.0 | |
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| drop_out_prob | 0.1 | |
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| packing_length | 100 | |
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| train_test_split | 0.2 | |
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| num_steps | 1 | |
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## Training and Testing steps |
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Epoch | Train Loss | Test Loss | F-beta Score |
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---|---|---|--- |
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| 0 | 0.000000 | 0.699961 | 0.537401 | |
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| 1 | 0.360153 | 0.232177 | 0.913519 | |
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| 2 | 0.185359 | 0.246894 | 0.890984 | |
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| 3 | 0.142970 | 0.221023 | 0.931205 | |
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| 4 | 0.091042 | 0.259892 | 0.916886 | |
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| 5 | 0.058474 | 0.306288 | 0.933662 | |
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| 6 | 0.038347 | 0.330510 | 0.907575 | |
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