File size: 2,897 Bytes
91ca1fa
b21ca18
 
 
91ca1fa
 
b21ca18
91ca1fa
b21ca18
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
91ca1fa
b21ca18
91ca1fa
b21ca18
 
 
 
91ca1fa
b21ca18
91ca1fa
b21ca18
91ca1fa
b21ca18
91ca1fa
b21ca18
 
 
 
 
 
 
 
 
 
 
 
 
 
91ca1fa
b21ca18
91ca1fa
 
 
 
 
 
b21ca18
 
 
 
9fc8345
d4d061e
21d9965
6bf33b0
b679484
95e3233
5b21763
89bfb6c
d5b962b
ce8cb5a
1dad51f
7977cea
4a9e94b
50e743b
ebc29fc
8a6876c
70877ce
f8ab8d8
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
81
82
83
84
85
---
language: en
tags:
- fill-mask
---

## Environmental Impact (CODE CARBON DEFAULT)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| Duration (in seconds)    | [More Information Needed]  |
| Emissions (Co2eq in kg)  | [More Information Needed] |
| CPU power (W)            | [NO CPU]  |
| GPU power (W)            | [No GPU]  |
| RAM power (W)            | [More Information Needed]  |
| CPU energy (kWh)         | [No CPU]  |
| GPU energy (kWh)         | [No GPU]  |
| RAM energy (kWh)         | [More Information Needed]  |
| Consumed energy (kWh)    | [More Information Needed]  |
| Country name             | [More Information Needed]  |
| Cloud provider           | [No Cloud]  |
| Cloud region             | [No Cloud]  |
| CPU count                | [No CPU]  |
| CPU model                | [No CPU]  |
| GPU count                | [No GPU]  |
| GPU model                | [No GPU]  |

## Environmental Impact (for one core)

| Metric                   | Value                           |
|--------------------------|---------------------------------|
| CPU energy (kWh)         | [No CPU]  |
| Emissions (Co2eq in kg)  | [More Information Needed] |

## Note

20 May 2024

## My Config

| Config                   | Value           |
|--------------------------|-----------------|
| checkpoint               | albert-base-v2  |
| model_name               | ft_bs16_1lr6_base_x8 |
| sequence_length          | 400  |
| num_epoch                | 20  |
| learning_rate            | 1e-06  |
| batch_size               | 16  |
| weight_decay             | 0.0  |
| warm_up_prop             | 0.0  |
| drop_out_prob            | 0.1 |
| packing_length           | 100 |
| train_test_split         | 0.2 |
| num_steps                | 108600 |

## Training and Testing steps






 
Epoch | Train Loss | Test Loss | Accuracy | Recall
---|---|---|---|---
| 0 | 0.523328 | 0.476205 | 0.776141 | 0.906442 |
| 1 | 0.431474 | 0.413639 | 0.813697 | 0.866564 |
| 2 | 0.384488 | 0.402209 | 0.823270 | 0.897239 |
| 3 | 0.353091 | 0.387237 | 0.822533 | 0.800613 |
| 4 | 0.328723 | 0.390632 | 0.836524 | 0.918712 |
| 5 | 0.314824 | 0.373720 | 0.835052 | 0.848160 |
| 6 | 0.299005 | 0.389435 | 0.810751 | 0.750000 |
| 7 | 0.289835 | 0.386018 | 0.835052 | 0.860429 |
| 8 | 0.273817 | 0.388888 | 0.829897 | 0.814417 |
| 9 | 0.257712 | 0.386943 | 0.837997 | 0.871166 |
| 10 | 0.236881 | 0.410112 | 0.832842 | 0.855828 |
| 11 | 0.218910 | 0.429738 | 0.820324 | 0.837423 |
| 12 | 0.207044 | 0.461636 | 0.832106 | 0.891104 |
| 13 | 0.192752 | 0.454077 | 0.817378 | 0.828221 |
| 14 | 0.167404 | 0.477347 | 0.802651 | 0.754601 |
| 15 | 0.146702 | 0.511787 | 0.810751 | 0.875767 |
| 16 | 0.134885 | 0.540342 | 0.814433 | 0.858896 |
| 17 | 0.118554 | 0.552969 | 0.807069 | 0.802147 |
| 18 | 0.105443 | 0.596917 | 0.805596 | 0.803681 |