metadata
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) | 124659.13277721404 |
| Emissions (Co2eq in kg) | 0.0754331682475359 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.4716673370415978 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1298521263994277 |
| Consumed energy (kWh) | 1.6015194634410292 |
| 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) | 0.239968830596137 |
| Emissions (Co2eq in kg) | 0.04882482700440882 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs16_lr5_x12 |
| model_name | ft_1_12e6_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.2e-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 | 0.712962 | 0.700291 |
| 1 | 0.271536 | 0.241939 | 0.930977 |
| 2 | 0.174281 | 0.220898 | 0.934699 |
| 3 | 0.112133 | 0.263374 | 0.920866 |
| 4 | 0.058225 | 0.308319 | 0.923641 |
| 5 | 0.026022 | 0.398344 | 0.912267 |
| 6 | 0.014539 | 0.441479 | 0.918694 |