File size: 2,556 Bytes
85d0c5d c9d6bd2 ed5e3c7 85d0c5d c9d6bd2 85d0c5d c9d6bd2 2496751 c9d6bd2 2496751 c9d6bd2 2496751 85d0c5d c9d6bd2 85d0c5d c9d6bd2 2496751 85d0c5d c9d6bd2 85d0c5d ed5e3c7 85d0c5d c9d6bd2 85d0c5d c9d6bd2 ed5e3c7 85d0c5d c9d6bd2 85d0c5d c9d6bd2 ed5e3c7 e090eed 8669b6e ce88e36 2538a22 a9e44e5 aeaf219 |
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) | 84232.47019672394 |
| Emissions (Co2eq in kg) | 0.0509703346790505 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9944085552609624 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0877411799686654 |
| Consumed energy (kWh) | 1.0821497352296257 |
| 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) | 0.16214750512869358 |
| Emissions (Co2eq in kg) | 0.03299105082705021 |
## Note
19 juin 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | albert-base-v2 |
| model_name | ft_32_1e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-06 |
| batch_size | 32 |
| 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 | 0.725595 | 0.272803 |
| 1 | 0.513231 | 0.405007 | 0.871395 |
| 2 | 0.350059 | 0.319134 | 0.884396 |
| 3 | 0.277223 | 0.271397 | 0.901570 |
| 4 | 0.234082 | 0.251465 | 0.902470 |
| 5 | 0.208181 | 0.246724 | 0.894811 |
| 6 | 0.188840 | 0.236156 | 0.919973 |
|