File size: 2,560 Bytes
a5e6201 2ccff79 a5e6201 2ccff79 a5e6201 2ccff79 ff0a483 2ccff79 ff0a483 2ccff79 ff0a483 a5e6201 2ccff79 a5e6201 2ccff79 ff0a483 a5e6201 2ccff79 a5e6201 2ccff79 a5e6201 2ccff79 a5e6201 2ccff79 a5e6201 2ccff79 a5e6201 2ccff79 b3d91ec c4f7737 6740744 91c3052 3df3623 2301649 |
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) | 67823.33742809296 |
| Emissions (Co2eq in kg) | 0.0410409541435312 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.8006906433511117 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0706486943175396 |
| Consumed energy (kWh) | 0.8713393376686526 |
| 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) | 0.13055992454907892 |
| Emissions (Co2eq in kg) | 0.026564140492669735 |
## Note
19 juin 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | albert-base-v2 |
| model_name | ft_16_11e6_base_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.1e-05 |
| batch_size | 16 |
| 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 | 0.735712 | 0.339216 |
| 1 | 0.296859 | 0.233050 | 0.903669 |
| 2 | 0.179071 | 0.225548 | 0.910416 |
| 3 | 0.124945 | 0.221315 | 0.919392 |
| 4 | 0.074707 | 0.298453 | 0.909107 |
| 5 | 0.048908 | 0.301912 | 0.933240 |
| 6 | 0.030443 | 0.359347 | 0.913699 |
|