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) | 108246.31299090384 |
| Emissions (Co2eq in kg) | 0.0655014498248466 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.277904257360769 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1127551729028428 |
| Consumed energy (kWh) | 1.3906594302636166 |
| 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) | 0.2083741525074899 |
| Emissions (Co2eq in kg) | 0.042396472588104 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_2_19e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.9e-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 | 0.759407 | 0.475010 |
| 1 | 0.396672 | 0.350123 | 0.899635 |
| 2 | 0.401261 | 0.438098 | 0.710429 |
| 3 | 0.395787 | 0.432214 | 0.884955 |
| 4 | 0.342024 | 0.375928 | 0.892931 |
| 5 | 0.261320 | 0.359356 | 0.725652 |
| 6 | 0.229167 | 0.380364 | 0.912437 |