File size: 2,563 Bytes
1f949ee 2e2769f 1f949ee 2e2769f 1f949ee 2e2769f 63ffaf9 2e2769f 63ffaf9 2e2769f 63ffaf9 1f949ee 2e2769f 1f949ee 2e2769f 63ffaf9 1f949ee 2e2769f 1f949ee 6cb9ce8 1f949ee 2e2769f 1f949ee 2e2769f 6cb9ce8 2e2769f 6cb9ce8 1f949ee 2e2769f 1f949ee 2e2769f 2ef0acc 431c05c cf987a0 4e72d3e 6033b64 460dbbe |
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) | 133075.01256775856 |
| Emissions (Co2eq in kg) | 0.0805257122968561 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.5710208565678894 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1386182656769951 |
| Consumed energy (kWh) | 1.7096391222448812 |
| 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) | 0.2561693991929352 |
| Emissions (Co2eq in kg) | 0.05212104658903876 |
## Note
12 juillet 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | damgomz/fp_bs16_lr1e4_x2 |
| model_name | ft_1_10e6_x2 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 1e-05 |
| batch_size | 1 |
| 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 | 0.692622 | 0.431164 |
| 1 | 0.327417 | 0.227324 | 0.932599 |
| 2 | 0.186663 | 0.233185 | 0.929285 |
| 3 | 0.121605 | 0.239872 | 0.928817 |
| 4 | 0.063640 | 0.276190 | 0.933687 |
| 5 | 0.029090 | 0.341658 | 0.915212 |
| 6 | 0.012395 | 0.380952 | 0.926094 |
|