File size: 2,556 Bytes
9bb6900
b3ee704
 
 
 
 
 
 
 
 
 
9bb6900
 
b3ee704
9bb6900
b3ee704
 
0b5b860
 
 
b3ee704
0b5b860
 
b3ee704
0b5b860
 
 
 
 
 
 
 
 
9bb6900
b3ee704
9bb6900
b3ee704
 
0b5b860
 
9bb6900
b3ee704
9bb6900
b3ee704
9bb6900
b3ee704
9bb6900
b3ee704
 
 
 
 
 
 
 
 
 
 
 
 
 
9bb6900
b3ee704
9bb6900
 
 
 
 
 
b3ee704
 
 
0ce4efd
 
bb882d5
8d097d0
f078a2c
8cb99cd
d3177fc
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)    | 110224.44468712808  |
| Emissions (Co2eq in kg)  | 0.0666984676603527 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 3.75  |
| CPU energy (kWh)         | 1.3012574774361307  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.114815804667274  |
| Consumed energy (kWh)    | 1.416073282103411  |
| 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)         | 0.21218205602272155  |
| Emissions (Co2eq in kg)  | 0.04317124083579183 |

## Note

19 juin 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_2_19e6_base_x2 |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 1.9e-05  |
| 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 | 0.700983 | 0.328021 |
| 1 | 0.326556 | 0.278680 | 0.914667 |
| 2 | 0.240091 | 0.244229 | 0.909574 |
| 3 | 0.199137 | 0.247858 | 0.912935 |
| 4 | 0.160307 | 0.272216 | 0.922121 |
| 5 | 0.126780 | 0.273435 | 0.921281 |
| 6 | 0.088730 | 0.285697 | 0.916605 |