File size: 2,555 Bytes
d9b9851 cb12ad3 d9b9851 cb12ad3 e1b951f cb12ad3 e1b951f cb12ad3 e1b951f cb12ad3 e1b951f cb12ad3 a72b76d 0d17767 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 |
---
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) | 94505.15079283714 |
| Emissions (Co2eq in kg) | 0.0571864990852938 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.1156831798659468 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0984417662136254 |
| Consumed energy (kWh) | 1.214124946079571 |
| 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) | 0.1819224152762115 |
| Emissions (Co2eq in kg) | 0.03701451739386121 |
## Note
19 juin 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | albert-base-v2 |
| model_name | ft_4_13e6_base_x4 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.3e-05 |
| batch_size | 4 |
| 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 | 0.695543 | 0.770726 |
| 1 | 0.299340 | 0.236087 | 0.909089 |
| 2 | 0.199078 | 0.230231 | 0.927057 |
| 3 | 0.148299 | 0.228364 | 0.926417 |
| 4 | 0.100078 | 0.319575 | 0.911306 |
| 5 | 0.072790 | 0.331663 | 0.908732 |
| 6 | 0.051162 | 0.351890 | 0.913809 |
|