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) | 73095.39277100563 |
| Emissions (Co2eq in kg) | 0.0442311379684663 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.862929785768026 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0761402545382579 |
| Consumed energy (kWh) | 0.9390700403062856 |
| 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) | 0.14070863108418583 |
| Emissions (Co2eq in kg) | 0.02862902883531054 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | albert-base-v2 |
| model_name | ft_32_2e6_base_x1 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 2e-06 |
| batch_size | 32 |
| 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 | 0.719601 | 0.333675 |
| 1 | 0.482296 | 0.366204 | 0.876392 |
| 2 | 0.298587 | 0.270772 | 0.896133 |
| 3 | 0.222985 | 0.245894 | 0.908798 |
| 4 | 0.177491 | 0.236516 | 0.912284 |
| 5 | 0.137443 | 0.242232 | 0.893873 |
| 6 | 0.105196 | 0.269823 | 0.916260 |