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) | 68827.84390854836 |
| Emissions (Co2eq in kg) | 0.0416488189977722 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.812549687310722 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0716952119010191 |
| Consumed energy (kWh) | 0.8842448992117423 |
| 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) | 0.13249359952395556 |
| Emissions (Co2eq in kg) | 0.02695757219751477 |
Note
12 juillet 2024
My Config
| Config | Value |
|---|---|
| checkpoint | damgomz/fp_bs8_lr1e4_x12 |
| model_name | ft_2_8e6_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 8e-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 | 29328 |
Training and Testing steps
| Epoch | Train Loss | Test Loss | F-beta Score |
|---|---|---|---|
| 0 | 0.000000 | 0.703843 | 0.082867 |
| 1 | 0.279875 | 0.222477 | 0.919155 |
| 2 | 0.147007 | 0.229525 | 0.913679 |
| 3 | 0.053716 | 0.344893 | 0.899821 |
| 4 | 0.014643 | 0.418116 | 0.916870 |
| 5 | 0.007382 | 0.474934 | 0.918122 |
| 6 | 0.004684 | 0.518520 | 0.918442 |