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) | 93372.42820477486 |
Emissions (Co2eq in kg) | 0.0565010611878068 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.102310639651946 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0972617937954763 |
Consumed energy (kWh) | 1.1995724334474187 |
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) | 0.17974192429419159 |
Emissions (Co2eq in kg) | 0.03657086771353682 |
Note
19 juin 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/ThunBERT_bs16_lr5_MLM |
model_name | ft_4_18e6_x1 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.8e-05 |
batch_size | 4 |
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 | 0.706994 | 0.424043 |
1 | 0.258423 | 0.217101 | 0.927509 |
2 | 0.160987 | 0.210229 | 0.925748 |
3 | 0.099993 | 0.236247 | 0.916445 |
4 | 0.054417 | 0.259030 | 0.914712 |
5 | 0.033429 | 0.308921 | 0.915399 |
6 | 0.021769 | 0.349121 | 0.916011 |