ft_1_14e6_x12 / 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) | 162631.22197675705 |
| Emissions (Co2eq in kg) | 0.0984106149954213 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.9199473448072868 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.169405641231686 |
| Consumed energy (kWh) | 2.0893529860389664 |
| 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) | 0.3130651023052573 |
| Emissions (Co2eq in kg) | 0.06369722860756317 |
## Note
12 juillet 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | damgomz/fp_bs8_lr1e4_x12 |
| model_name | ft_1_14e6_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.4e-05 |
| batch_size | 1 |
| 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 | 0.692832 | 0.584816 |
| 1 | 0.271468 | 0.247074 | 0.916377 |
| 2 | 0.141056 | 0.232668 | 0.931620 |
| 3 | 0.045049 | 0.341654 | 0.916644 |
| 4 | 0.009767 | 0.470739 | 0.914620 |
| 5 | 0.002564 | 0.537158 | 0.918849 |
| 6 | 0.000962 | 0.582758 | 0.914312 |