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) | 69623.04293489456 |
| Emissions (Co2eq in kg) | 0.0421300011590745 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8219373896645165 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.072523474416385 |
| Consumed energy (kWh) | 0.8944608640809024 |
| 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) | 0.13402435764967202 |
| Emissions (Co2eq in kg) | 0.02726902514950037 |
Note
19 juin 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs16_lr1e4_x2 |
| model_name | BERTrand_x2_f1 |
| sequence_length | 400 |
| num_epoch | 2 |
| learning_rate | 5e-06 |
| batch_size | 2 |
| 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 | 0.697733 | 0.005195 | 760.000000 | 2.000000 | 764.000000 | 2.000000 |
| 0 | 0.000000 | 0.214574 | 0.917749 | 653.000000 | 109.000000 | 24.000000 | 742.000000 |
| 0 | 0.000000 | 0.198111 | 0.926489 | 681.000000 | 81.000000 | 35.000000 | 731.000000 |