File size: 2,609 Bytes
7a93f5b 6a3f449 7a93f5b 6a3f449 7a93f5b 6a3f449 7a93f5b 6a3f449 7a93f5b 6a3f449 7a93f5b 6a3f449 7a93f5b 6a3f449 7a93f5b 6a3f449 7a93f5b 6a3f449 7a93f5b 6a3f449 7a93f5b 6a3f449 84c1ff4 2f79061 7060db5 79f30f9 b791ebe 07b7028 |
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) | [More Information Needed] |
| Emissions (Co2eq in kg) | [More Information Needed] |
| CPU power (W) | [NO CPU] |
| GPU power (W) | [No GPU] |
| RAM power (W) | [More Information Needed] |
| CPU energy (kWh) | [No CPU] |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | [More Information Needed] |
| Consumed energy (kWh) | [More Information Needed] |
| Country name | [More Information Needed] |
| Cloud provider | [No Cloud] |
| Cloud region | [No Cloud] |
| CPU count | [No CPU] |
| CPU model | [No CPU] |
| GPU count | [No GPU] |
| GPU model | [No GPU] |
## Environmental Impact (for one core)
| Metric | Value |
|--------------------------|---------------------------------|
| CPU energy (kWh) | [No CPU] |
| Emissions (Co2eq in kg) | [More Information Needed] |
## Note
19 juin 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | damgomz/fp_bs16_lr5_x8 |
| model_name | ft_32_15e6_x8 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1.5e-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 | 0.705517 | 0.527863 |
| 1 | 0.304984 | 0.222122 | 0.935708 |
| 2 | 0.175308 | 0.214142 | 0.924931 |
| 3 | 0.124303 | 0.235468 | 0.932318 |
| 4 | 0.074439 | 0.278880 | 0.923392 |
| 5 | 0.040802 | 0.343101 | 0.917024 |
| 6 | 0.026713 | 0.386120 | 0.913340 |
|