---
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)    | 134897.25152778623  |
| Emissions (Co2eq in kg)  | 0.0816283543799203 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 3.75  |
| CPU energy (kWh)         | 1.5925329547660234  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.140516330385457  |
| Consumed energy (kWh)    | 1.7330492851514907  |
| 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)         | 0.25967720919098847  |
| Emissions (Co2eq in kg)  | 0.05283475684838293 |

## Note

12 juillet 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | damgomz/fp_bs16_lr1e4_x2  |
| model_name               | ft_1_13e6_x2 |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 1.3e-05  |
| batch_size               | 1  |
| 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






 
Epoch | Train Loss | Test Loss | F-beta Score
---|---|---|---
| 0 | 0.000000 | 0.700491 | 0.656952 |
| 1 | 0.313010 | 0.256400 | 0.940287 |
| 2 | 0.208617 | 0.215926 | 0.913511 |
| 3 | 0.141383 | 0.236510 | 0.928075 |
| 4 | 0.088429 | 0.276049 | 0.930695 |
| 5 | 0.043561 | 0.287830 | 0.933413 |
| 6 | 0.019511 | 0.345625 | 0.926215 |