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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) | 108091.57619404791 | |
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| Emissions (Co2eq in kg) | 0.0654078340757887 | |
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| CPU power (W) | 42.5 | |
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| GPU power (W) | [No GPU] | |
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| RAM power (W) | 3.75 | |
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| CPU energy (kWh) | 1.2760778497210847 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.112594027219712 | |
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| Consumed energy (kWh) | 1.3886718769408026 | |
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| Country name | Switzerland | |
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| Cloud provider | nan | |
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| Cloud region | nan | |
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| CPU count | 2 | |
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| CPU model | Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz | |
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| GPU count | nan | |
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| GPU model | nan | |
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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) | 0.20807628417354224 | |
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| Emissions (Co2eq in kg) | 0.04233586734266876 | |
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## Note |
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12 juillet 2024 |
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## My Config |
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| Config | Value | |
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|--------------------------|-----------------| |
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| checkpoint | damgomz/fp_bs32_lr1e4_x1 | |
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| model_name | ft_2_13e6_x1 | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 1.3e-05 | |
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| batch_size | 2 | |
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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 | 29328 | |
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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 | 0.703502 | 0.225063 | |
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| 1 | 0.262572 | 0.199007 | 0.946091 | |
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| 2 | 0.156028 | 0.218566 | 0.938491 | |
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| 3 | 0.088973 | 0.236793 | 0.923493 | |
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| 4 | 0.042557 | 0.305337 | 0.921530 | |
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| 5 | 0.018466 | 0.383836 | 0.903260 | |
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| 6 | 0.012018 | 0.365420 | 0.931091 | |
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