File size: 2,559 Bytes
5544e3f 169ab55 5544e3f 169ab55 5544e3f 169ab55 812a675 169ab55 812a675 169ab55 812a675 5544e3f 169ab55 5544e3f 169ab55 812a675 5544e3f 169ab55 5544e3f 169ab55 5544e3f 169ab55 5544e3f 169ab55 5544e3f 169ab55 5544e3f 169ab55 1a1788f e825865 2dfea2f b67debd 8086dec 307ef71 |
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) | 78313.53327870369 |
| Emissions (Co2eq in kg) | 0.0473887137294402 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 0.9245326654970666 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.0815757765623429 |
| Consumed energy (kWh) | 1.0061084420594089 |
| 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) | 0.1507535515615046 |
| Emissions (Co2eq in kg) | 0.030672800534158943 |
## Note
19 juin 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | albert-base-v2 |
| model_name | ft_32_16e6_base_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.6e-05 |
| 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 | 0.733605 | 0.521574 |
| 1 | 0.343848 | 0.250949 | 0.927429 |
| 2 | 0.207227 | 0.216056 | 0.905269 |
| 3 | 0.158365 | 0.231901 | 0.928852 |
| 4 | 0.115495 | 0.261195 | 0.920515 |
| 5 | 0.076285 | 0.315937 | 0.903032 |
| 6 | 0.055799 | 0.309163 | 0.927541 |
|