|
--- |
|
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) | 96406.65297603609 | |
|
| Emissions (Co2eq in kg) | 0.0583371416060975 | |
|
| CPU power (W) | 42.5 | |
|
| GPU power (W) | [No GPU] | |
|
| RAM power (W) | 3.75 | |
|
| CPU energy (kWh) | 1.138131595231595 | |
|
| GPU energy (kWh) | [No GPU] | |
|
| RAM energy (kWh) | 0.1004226096918183 | |
|
| Consumed energy (kWh) | 1.238554204923411 | |
|
| 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) | 0.18558280697886945 | |
|
| Emissions (Co2eq in kg) | 0.03775927241561413 | |
|
|
|
## Note |
|
|
|
19 juin 2024 |
|
|
|
## My Config |
|
|
|
| Config | Value | |
|
|--------------------------|-----------------| |
|
| checkpoint | albert-base-v2 | |
|
| model_name | ft_2_11e6_base_x2 | |
|
| sequence_length | 400 | |
|
| num_epoch | 6 | |
|
| learning_rate | 1.1e-05 | |
|
| batch_size | 2 | |
|
| 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 | 0.716349 | 0.529268 | |
|
| 1 | 0.290073 | 0.249224 | 0.888085 | |
|
| 2 | 0.196019 | 0.251713 | 0.913014 | |
|
| 3 | 0.142007 | 0.236418 | 0.937050 | |
|
| 4 | 0.093594 | 0.283093 | 0.913984 | |
|
| 5 | 0.058673 | 0.309192 | 0.905826 | |
|
| 6 | 0.036635 | 0.389606 | 0.907113 | |
|
|
