ft_1_5e6_base_x4 / 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) | 135412.54474401474 |
| Emissions (Co2eq in kg) | 0.0819401737774093 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.598616431495719 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1410530824723347 |
| Consumed energy (kWh) | 1.739669513968054 |
| 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) | 0.2606691486322284 |
| Emissions (Co2eq in kg) | 0.0530365800247391 |
## Note
14 juin 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | albert-base-v2 |
| model_name | ft_1_5e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 5e-06 |
| 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 | 0.695707 | 0.085926 |
| 1 | 0.287545 | 0.265990 | 0.929049 |
| 2 | 0.189998 | 0.234049 | 0.909868 |
| 3 | 0.130745 | 0.241593 | 0.925313 |
| 4 | 0.078435 | 0.288700 | 0.928428 |
| 5 | 0.040570 | 0.380145 | 0.919319 |
| 6 | 0.021803 | 0.438513 | 0.908184 |