File size: 2,555 Bytes
967a540
f09e948
 
5438e5f
 
 
 
 
 
 
 
967a540
 
f09e948
967a540
f09e948
 
44c636b
 
 
f09e948
44c636b
 
f09e948
44c636b
 
 
 
 
 
 
 
 
967a540
f09e948
967a540
f09e948
 
44c636b
 
967a540
f09e948
967a540
5438e5f
967a540
f09e948
967a540
f09e948
 
 
 
 
 
 
 
 
 
 
 
 
5438e5f
967a540
f09e948
967a540
 
 
 
 
 
f09e948
a8c8469
 
92b14df
 
fc93cb1
0640c2f
b78eeb6
a04c9a3
dcab9b3
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)    | 77501.11477684975  |
| Emissions (Co2eq in kg)  | 0.0468971171156898 |
| CPU power (W)            | 42.5  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | 3.75  |
| CPU energy (kWh)         | 0.9149418075708864  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | 0.0807295606737338  |
| Consumed energy (kWh)    | 0.9956713682446208  |
| 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)         | 0.14918964594543577  |
| Emissions (Co2eq in kg)  | 0.030354603287599483 |

## Note

14 juin 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_8_4e6_base_x2 |
| sequence_length          | 400  |
| num_epoch                | 6  |
| learning_rate            | 4e-06  |
| batch_size               | 8  |
| 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 | 0.712805 | 0.454676 |
| 1 | 0.314139 | 0.225817 | 0.900470 |
| 2 | 0.187321 | 0.229224 | 0.930860 |
| 3 | 0.135079 | 0.235779 | 0.926265 |
| 4 | 0.085142 | 0.249018 | 0.923784 |
| 5 | 0.046076 | 0.328249 | 0.902957 |
| 6 | 0.026745 | 0.361188 | 0.908276 |