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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) | 96105.69715833664 | |
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| Emissions (Co2eq in kg) | 0.05815500593712 | |
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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) | 1.1345783189015282 | |
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| GPU energy (kWh) | [No GPU] | |
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| RAM energy (kWh) | 0.1001089687806865 | |
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| Consumed energy (kWh) | 1.2346872876822157 | |
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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) | 0.18500346702979803 | |
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| Emissions (Co2eq in kg) | 0.03764139805368185 | |
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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_x4 | |
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| model_name | ft_4_17e6_x4 | |
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| sequence_length | 400 | |
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| num_epoch | 6 | |
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| learning_rate | 1.7e-05 | |
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| batch_size | 4 | |
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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 | 0.714085 | 0.560575 | |
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| 1 | 0.256557 | 0.222078 | 0.926592 | |
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| 2 | 0.155773 | 0.212219 | 0.934628 | |
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| 3 | 0.090536 | 0.288800 | 0.923678 | |
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| 4 | 0.050082 | 0.328008 | 0.925594 | |
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| 5 | 0.031863 | 0.384662 | 0.917439 | |
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| 6 | 0.023234 | 0.389935 | 0.918653 | |
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