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) | 82707.54176831245 |
Emissions (Co2eq in kg) | 0.0500476062021272 |
CPU power (W) | 42.5 |
GPU power (W) | [No GPU] |
RAM power (W) | 3.75 |
CPU energy (kWh) | 0.9764064398333412 |
GPU energy (kWh) | [No GPU] |
RAM energy (kWh) | 0.0861528731775782 |
Consumed energy (kWh) | 1.0625593130109174 |
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) | 0.15921201790400147 |
Emissions (Co2eq in kg) | 0.03239378719258904 |
Note
12 juillet 2024
My Config
Config | Value |
---|---|
checkpoint | damgomz/fp_bs8_lr1e4_x12 |
model_name | ft_8_19e6_x12 |
sequence_length | 400 |
num_epoch | 6 |
learning_rate | 1.9e-05 |
batch_size | 8 |
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 | 0.707410 | 0.261111 |
1 | 0.276602 | 0.218772 | 0.920373 |
2 | 0.144515 | 0.226347 | 0.931452 |
3 | 0.051259 | 0.317474 | 0.906176 |
4 | 0.021680 | 0.383567 | 0.920985 |
5 | 0.013343 | 0.458798 | 0.896037 |
6 | 0.006849 | 0.552293 | 0.900362 |