B_x8 / README.md
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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) [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

19 juin 2024

My Config

Config Value
checkpoint damgomz/fp_bs32_lr1e4_x8
model_name B_x8
sequence_length 400
num_epoch 2
learning_rate 1.8e-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 12220

Training and Testing steps

Epoch Train Loss Test Loss F-beta Score TN FP FN TP
0 0.000000 0.695801 0.000000 761.000000 1.000000 766.000000 0.000000
1 0.247787 0.225137 0.917837 686.000000 76.000000 60.000000 706.000000
2 0.160151 0.223627 0.929874 657.000000 105.000000 42.000000 724.000000