|
--- |
|
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) | [More Information Needed] | |
|
| Emissions (Co2eq in kg) | [More Information Needed] | |
|
| CPU power (W) | [NO CPU] | |
|
| GPU power (W) | [No GPU] | |
|
| RAM power (W) | [More Information Needed] | |
|
| CPU energy (kWh) | [No CPU] | |
|
| GPU energy (kWh) | [No GPU] | |
|
| RAM energy (kWh) | [More Information Needed] | |
|
| Consumed energy (kWh) | [More Information Needed] | |
|
| Country name | [More Information Needed] | |
|
| Cloud provider | [No Cloud] | |
|
| Cloud region | [No Cloud] | |
|
| CPU count | [No CPU] | |
|
| CPU model | [No CPU] | |
|
| GPU count | [No GPU] | |
|
| GPU model | [No GPU] | |
|
|
|
## Environmental Impact (for one core) |
|
|
|
| Metric | Value | |
|
|--------------------------|---------------------------------| |
|
| CPU energy (kWh) | [No CPU] | |
|
| Emissions (Co2eq in kg) | [More Information Needed] | |
|
|
|
## Note |
|
|
|
12 juillet 2024 |
|
|
|
## My Config |
|
|
|
| Config | Value | |
|
|--------------------------|-----------------| |
|
| checkpoint | damgomz/fp_bs32_lr1e4_x1 | |
|
| model_name | ft_1_15e6_x1 | |
|
| sequence_length | 400 | |
|
| num_epoch | 6 | |
|
| learning_rate | 1.5e-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 | 0.706727 | 0.550627 | |
|
| 1 | 0.257354 | 0.213332 | 0.911704 | |
|
| 2 | 0.177313 | 0.253458 | 0.912705 | |
|
|
