File size: 2,562 Bytes
64d37d6 c0ee446 64d37d6 c0ee446 64d37d6 c0ee446 bedbf48 c0ee446 bedbf48 c0ee446 bedbf48 64d37d6 c0ee446 64d37d6 c0ee446 bedbf48 64d37d6 c0ee446 64d37d6 58cb995 64d37d6 c0ee446 64d37d6 c0ee446 58cb995 c0ee446 64d37d6 c0ee446 64d37d6 c0ee446 3a43d24 c21c98b 511af0a df6f3b0 3d576fe a2349c6 | 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) | 109511.30648231506 |
| Emissions (Co2eq in kg) | 0.0662669475800975 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.2928386876326523 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1140730038409432 |
| Consumed energy (kWh) | 1.4069116914735906 |
| 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) | 0.2108092649784565 |
| Emissions (Co2eq in kg) | 0.04289192837224007 |
## Note
12 juillet 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | damgomz/fp_bs16_lr1e4_x2 |
| model_name | ft_2_4e6_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 4e-06 |
| batch_size | 2 |
| 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 | 0.709100 | 0.485814 |
| 1 | 0.319906 | 0.223361 | 0.915456 |
| 2 | 0.190698 | 0.205193 | 0.936273 |
| 3 | 0.143325 | 0.210320 | 0.930928 |
| 4 | 0.094796 | 0.242416 | 0.926488 |
| 5 | 0.056134 | 0.306260 | 0.935567 |
| 6 | 0.033007 | 0.374798 | 0.916033 |
|