File size: 2,562 Bytes
580ca4d 61472cf 580ca4d 61472cf 580ca4d 61472cf 05a150c 61472cf 05a150c 61472cf 05a150c 580ca4d 61472cf 580ca4d 61472cf 05a150c 580ca4d 61472cf 580ca4d 47ee1d1 580ca4d 61472cf 580ca4d 61472cf 47ee1d1 61472cf 580ca4d 61472cf 580ca4d 61472cf 1757bed 02ea130 2c308c4 9fb3dc6 b018fec 1d020b1 |
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) | 97550.86498332024 |
| Emissions (Co2eq in kg) | 0.0590295700032286 |
| CPU power (W) | 42.5 |
| GPU power (W) | [No GPU] |
| RAM power (W) | 3.75 |
| CPU energy (kWh) | 1.1516403566694926 |
| GPU energy (kWh) | [No GPU] |
| RAM energy (kWh) | 0.1016147759864726 |
| Consumed energy (kWh) | 1.253255132655965 |
| 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) | 0.18778541509289143 |
| Emissions (Co2eq in kg) | 0.03820742211846709 |
## Note
12 juillet 2024
## My Config
| Config | Value |
|--------------------------|-----------------|
| checkpoint | damgomz/fp_bs8_lr1e4_x12 |
| model_name | ft_1_4e6_x12 |
| sequence_length | 400 |
| num_epoch | 6 |
| learning_rate | 4e-06 |
| 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 | 0.694759 | 0.592826 |
| 1 | 0.286976 | 0.233656 | 0.912000 |
| 2 | 0.157731 | 0.240512 | 0.887314 |
| 3 | 0.073009 | 0.298833 | 0.919388 |
| 4 | 0.020391 | 0.394313 | 0.914145 |
| 5 | 0.004590 | 0.479144 | 0.915592 |
| 6 | 0.001584 | 0.505511 | 0.910815 |
|