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) | 92010.24966335297 |
Emissions (Co2eq in kg) | 0.0556768599218488 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 1.0862304648881191 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.09584337477237 |
Consumed energy (kWh) | 1.1820738396604924 |
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) | 0.17711973060195443 |
Emissions (Co2eq in kg) | 0.03603734778481324 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs32_lr1e4_x8 |
model_name | ft_1_7e6_x8 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 7e-06 |
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 | 0.722092 | 0.564918 |
1 | 0.255644 | 0.212346 | 0.916260 |
2 | 0.156763 | 0.220596 | 0.935560 |
3 | 0.092684 | 0.263683 | 0.921343 |
4 | 0.043780 | 0.304229 | 0.919802 |
5 | 0.020111 | 0.369424 | 0.928008 |
6 | 0.009589 | 0.412112 | 0.922532 |