|
--- |
|
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) | 78425.03929233551 | |
|
| Emissions (Co2eq in kg) | 0.0474561649708347 | |
|
| CPU power (W) | 42.5 | |
|
| GPU power (W) | [No GPU] | |
|
| RAM power (W) | 3.75 | |
|
| CPU energy (kWh) | 0.9258486520709268 | |
|
| GPU energy (kWh) | [No GPU] | |
|
| RAM energy (kWh) | 0.081691845388462 | |
|
| Consumed energy (kWh) | 1.0075404974593904 | |
|
| 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) | 0.15096820063774585 | |
|
| Emissions (Co2eq in kg) | 0.030716473722831407 | |
|
|
|
## Note |
|
|
|
19 juin 2024 |
|
|
|
## My Config |
|
|
|
| Config | Value | |
|
|--------------------------|-----------------| |
|
| checkpoint | albert-base-v2 | |
|
| model_name | ft_16_15e6_base_x2 | |
|
| sequence_length | 400 | |
|
| num_epoch | 6 | |
|
| learning_rate | 1.5e-05 | |
|
| batch_size | 16 | |
|
| 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 | 0.720357 | 0.310238 | |
|
| 1 | 0.292545 | 0.209485 | 0.926333 | |
|
| 2 | 0.179220 | 0.243468 | 0.916156 | |
|
| 3 | 0.124913 | 0.249270 | 0.911116 | |
|
| 4 | 0.076508 | 0.300366 | 0.921114 | |
|
| 5 | 0.046598 | 0.355403 | 0.881692 | |
|
| 6 | 0.037300 | 0.352712 | 0.930695 | |
|
|