ft_4_16e6_base_x2 / README.md
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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) [More Information Needed]
Emissions (Co2eq in kg) [More Information Needed]
CPU power (W) [NO CPU]
GPU power (W) [No GPU]
RAM power (W) [More Information Needed]
CPU energy (kWh) [No CPU]
GPU energy (kWh) [No GPU]
RAM energy (kWh) [More Information Needed]
Consumed energy (kWh) [More Information Needed]
Country name [More Information Needed]
Cloud provider [No Cloud]
Cloud region [No Cloud]
CPU count [No CPU]
CPU model [No CPU]
GPU count [No GPU]
GPU model [No GPU]

Environmental Impact (for one core)

Metric Value
CPU energy (kWh) [No CPU]
Emissions (Co2eq in kg) [More Information Needed]

Note

20 Juin 2024

My Config

Config Value
checkpoint recovering
model_name ft_4_16e6_base_x2
sequence_length 400
num_epoch 6
learning_rate 1.6e-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 1

Training and Testing steps

Epoch Train Loss Test Loss F-beta Score
0 0.000000 0.739579 0.241663
1 0.299590 0.259272 0.897336
2 0.202640 0.240557 0.890311
3 0.156079 0.249552 0.939492
4 0.110257 0.275880 0.928374
5 0.085959 0.282593 0.919402
6 0.058081 0.318861 0.904849