Total runs:
15.4K
Run Growth:
-7.8K
Growth Rate:
-50.80%
Sponsored by
PoYo.AI
poltextlab / xlm-roberta-large-pooled-cap-media2-v1
Model's Last Updated: July 18 2025
text-classification
Introduction of xlm-roberta-large-pooled-cap-media2-v1
Model Details of xlm-roberta-large-pooled-cap-media2-v1
xlm-roberta-large-pooled-cap-media2
Model description
An
xlm-roberta-large
model finetuned on multilingual (english, german, hungarian, spanish, slovakian) training data labelled with
major topic codes
from the
Comparative Agendas Project
.
Furthermore we used the follwoing 18 media codes:
- State and Local Government Administration (24)
- Weather (25)
- Fires, emergencies and natural disasters (26)
- Crime and trials (27)
- Arts, culture, entertainment and history (28)
- Style and fashion (29)
- Food (30)
- Travel (31)
- Wellbeing and learning (32)
- Personal finance and real estate (33)
- Personal technology and popular science (34)
- Churches and Religion (35)
- Celebrities and human interest (36)
- Obituaries and death notices (37)
- Sports (38)
- Crosswords, puzzles, comics (39)
- Media production/internal, letters (40)
- Advertisements (41)
How to use the model
from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large")
pipe = pipeline(
model="poltextlab/xlm-roberta-large-pooled-cap-media2",
task="text-classification",
tokenizer=tokenizer,
use_fast=False,
token="<your_hf_read_only_token>"
)
text = "We will place an immediate 6-month halt on the finance driven closure of beds and wards, and set up an independent audit of needs and facilities."
pipe(text)
Gated access
Due to the gated access, you must pass the
token
parameter when loading the model. In earlier versions of the Transformers package, you may need to use the
use_auth_token
parameter instead.
Model performance
The model was evaluated on a test set of 74322 english examples.
- Accuracy: 0.79 .
- Precision: 0.77 .
- Recall: 0.77
- Weighted Average F1-score: 0.79
Heatmap
Classification Report
| Class | precision | recall | f1-score | support |
|---|---|---|---|---|
| Macroeconomics (1) | 0.71 | 0.75 | 0.73 | 2471 |
| Civil Rights (2) | 0.71 | 0.66 | 0.69 | 1886 |
| Health (3) | 0.81 | 0.83 | 0.82 | 2471 |
| Agriculture (4) | 0.77 | 0.76 | 0.76 | 811 |
| Labor (5) | 0.72 | 0.7 | 0.71 | 1277 |
| Education (6) | 0.84 | 0.87 | 0.86 | 2080 |
| Environment (7) | 0.76 | 0.79 | 0.78 | 1283 |
| Energy (8) | 0.79 | 0.83 | 0.81 | 1370 |
| Immigration (9) | 0.71 | 0.78 | 0.74 | 514 |
| Transportation (10) | 0.8 | 0.82 | 0.81 | 2375 |
| Law and Crime (12) | 0.68 | 0.67 | 0.67 | 2471 |
| Social Welfare (13) | 0.67 | 0.69 | 0.68 | 683 |
| Housing (14) | 0.72 | 0.71 | 0.71 | 1023 |
| Banking, Finance, and Domestic Commerce (15) | 0.72 | 0.68 | 0.7 | 2471 |
| Defense (16) | 0.74 | 0.77 | 0.75 | 2471 |
| Technology (17) | 0.73 | 0.73 | 0.73 | 1375 |
| Foreign Trade (18) | 0.71 | 0.64 | 0.67 | 533 |
| International Affairs (19) | 0.69 | 0.62 | 0.66 | 2471 |
| Government Operations (20) | 0.72 | 0.65 | 0.68 | 2471 |
| Public Lands (21) | 0.64 | 0.64 | 0.64 | 554 |
| Culture (23) | 0.73 | 0.75 | 0.74 | 2142 |
| State and Local Government Administration (24) | 0.79 | 0.73 | 0.76 | 2471 |
| Weather (25) | 0.98 | 0.98 | 0.98 | 2471 |
| Fires, emergencies and natural disasters (26) | 0.96 | 0.98 | 0.97 | 2471 |
| Crime and trials (27) | 0.77 | 0.84 | 0.8 | 2467 |
| Arts, culture, entertainment and history (28) | 0.78 | 0.72 | 0.75 | 2423 |
| Style and fashion (29) | 0.8 | 0.69 | 0.74 | 2407 |
| Food (30) | 0.79 | 0.83 | 0.81 | 2210 |
| Travel (31) | 0.8 | 0.86 | 0.83 | 2095 |
| Wellbeing and learning (32) | 0.77 | 0.81 | 0.79 | 2376 |
| Personal finance and real estate (33) | 0.84 | 0.85 | 0.85 | 2222 |
| Personal technology and popular science (34) | 0.82 | 0.83 | 0.82 | 2388 |
| Churches and Religion (35) | 0.92 | 0.94 | 0.93 | 2469 |
| Celebrities and human interest (36) | 0.84 | 0.87 | 0.86 | 2454 |
| Obituaries and death notices (37) | 0.88 | 0.92 | 0.9 | 2407 |
| Sports (38) | 0.89 | 0.89 | 0.89 | 2423 |
| Crosswords, puzzles, comics (39) | 0.96 | 0.95 | 0.96 | 126 |
| Media production/internal, letters (40) | 0.9 | 0.9 | 0.9 | 763 |
| Advertisements (41) | 0 | 0 | 0 | 5 |
| No Policy and No Media Content (998) | 0.82 | 0.8 | 0.81 | 2471 |
| accuracy | 0.79 | 0.79 | 0.79 | 0.79 |
| macro avg | 0.77 | 0.77 | 0.77 | 74322 |
| weighted avg | 0.79 | 0.79 | 0.79 | 74322 |
Inference platform
This model is used by the CAP Babel Machine , an open-source and free natural language processing tool, designed to simplify and speed up projects for comparative research.
Cooperation
Model performance can be significantly improved by extending our training sets. We appreciate every submission of CAP-coded corpora (of any domain and language) at poltextlab{at}poltextlab{dot}com or by using the CAP Babel Machine .
Debugging and issues
This architecture uses the
sentencepiece
tokenizer. In order to run the model before
transformers==4.27
you need to install it manually.
If you encounter a
RuntimeError
when loading the model using the
from_pretrained()
method, adding
ignore_mismatched_sizes=True
should solve the issue.
Runs of poltextlab xlm-roberta-large-pooled-cap-media2-v1 on huggingface.co
1.2K
Total runs
0
24-hour runs
0
3-day runs
3
7-day runs
79
30-day runs
More Information About xlm-roberta-large-pooled-cap-media2-v1 huggingface.co Model
Url of xlm-roberta-large-pooled-cap-media2-v1
xlm-roberta-large-pooled-cap-media2-v1 huggingface.co Url
Provider of xlm-roberta-large-pooled-cap-media2-v1 huggingface.co
Other API from poltextlab
Updated:April 09 2026
Total runs:
5.0K
Run Growth:
2.8K
Growth Rate:
56.33%
Total runs:
3.5K
Run Growth:
1.5K
Growth Rate:
42.14%
Total runs:
3.1K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
2.4K
Run Growth:
172
Growth Rate:
7.08%
Total runs:
1.8K
Run Growth:
162
Growth Rate:
8.81%
Total runs:
1.8K
Run Growth:
111
Growth Rate:
6.17%
Total runs:
1.5K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
1.4K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
1.4K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
1.4K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
1.4K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
1.4K
Run Growth:
-1.7K
Growth Rate:
-124.93%
Total runs:
1.4K
Run Growth:
-889
Growth Rate:
-65.03%
Total runs:
1.4K
Run Growth:
187
Growth Rate:
13.85%
Total runs:
1.3K
Run Growth:
-44
Growth Rate:
-3.36%
Total runs:
1.3K
Run Growth:
78
Growth Rate:
6.09%
Total runs:
1.3K
Run Growth:
87
Growth Rate:
6.89%
Total runs:
1.3K
Run Growth:
91
Growth Rate:
7.23%
Total runs:
1.3K
Run Growth:
71
Growth Rate:
5.67%
Total runs:
1.2K
Run Growth:
75
Growth Rate:
6.03%
Total runs:
1.2K
Run Growth:
75
Growth Rate:
6.03%
Total runs:
1.2K
Run Growth:
62
Growth Rate:
5.00%
Total runs:
1.2K
Run Growth:
85
Growth Rate:
6.87%
Total runs:
1.2K
Run Growth:
43
Growth Rate:
3.48%
Total runs:
1.2K
Run Growth:
86
Growth Rate:
6.98%
Total runs:
1.2K
Run Growth:
74
Growth Rate:
6.01%
Total runs:
1.2K
Run Growth:
71
Growth Rate:
5.77%
Total runs:
1.2K
Run Growth:
62
Growth Rate:
5.09%
Total runs:
1.2K
Run Growth:
-427
Growth Rate:
-36.97%
Total runs:
763
Run Growth:
0
Growth Rate:
0.00%
Total runs:
735
Run Growth:
0
Growth Rate:
0.00%
Total runs:
342
Run Growth:
48
Growth Rate:
14.04%
Total runs:
236
Run Growth:
0
Growth Rate:
0.00%
Total runs:
138
Run Growth:
-514
Growth Rate:
-372.46%
Total runs:
128
Run Growth:
128
Growth Rate:
100.00%
Total runs:
106
Run Growth:
-979
Growth Rate:
-923.58%
Total runs:
87
Run Growth:
-323
Growth Rate:
-371.26%
Total runs:
72
Run Growth:
72
Growth Rate:
100.00%
Total runs:
68
Run Growth:
3
Growth Rate:
4.41%
Total runs:
65
Run Growth:
-1
Growth Rate:
-1.54%
Total runs:
60
Run Growth:
18
Growth Rate:
30.00%
Total runs:
59
Run Growth:
53
Growth Rate:
89.83%
Total runs:
59
Run Growth:
16
Growth Rate:
27.12%
Total runs:
53
Run Growth:
0
Growth Rate:
0.00%
Total runs:
48
Run Growth:
20
Growth Rate:
40.82%
Total runs:
45
Run Growth:
13
Growth Rate:
28.89%
Total runs:
44
Run Growth:
15
Growth Rate:
34.09%
Total runs:
41
Run Growth:
12
Growth Rate:
29.27%
Total runs:
41
Run Growth:
12
Growth Rate:
29.27%
Total runs:
38
Run Growth:
13
Growth Rate:
34.21%
Total runs:
35
Run Growth:
8
Growth Rate:
22.86%
Total runs:
35
Run Growth:
5
Growth Rate:
14.29%
Total runs:
35
Run Growth:
6
Growth Rate:
17.14%
Total runs:
34
Run Growth:
-5
Growth Rate:
-14.71%
Total runs:
34
Run Growth:
4
Growth Rate:
11.76%
Total runs:
34
Run Growth:
5
Growth Rate:
14.71%
Total runs:
33
Run Growth:
4
Growth Rate:
11.76%
Total runs:
33
Run Growth:
4
Growth Rate:
12.12%
Total runs:
33
Run Growth:
4
Growth Rate:
12.12%
Total runs:
33
Run Growth:
3
Growth Rate:
9.09%
Total runs:
33
Run Growth:
-2
Growth Rate:
-6.06%
Total runs:
32
Run Growth:
2
Growth Rate:
6.25%
Total runs:
32
Run Growth:
2
Growth Rate:
6.25%
Total runs:
32
Run Growth:
2
Growth Rate:
6.25%
Total runs:
31
Run Growth:
3
Growth Rate:
9.68%
Total runs:
31
Run Growth:
3
Growth Rate:
9.68%
Total runs:
31
Run Growth:
3
Growth Rate:
9.38%
Total runs:
31
Run Growth:
2
Growth Rate:
6.45%
Total runs:
31
Run Growth:
2
Growth Rate:
6.45%
Total runs:
31
Run Growth:
2
Growth Rate:
6.45%
Total runs:
30
Run Growth:
1
Growth Rate:
3.33%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
-1
Growth Rate:
-3.45%
Total runs:
29
Run Growth:
4
Growth Rate:
13.79%
Total runs:
29
Run Growth:
4
Growth Rate:
13.79%
Total runs:
29
Run Growth:
-1
Growth Rate:
-3.45%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
4
Growth Rate:
13.79%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
6
Growth Rate:
20.69%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
0
Growth Rate:
0.00%
Total runs:
29
Run Growth:
2
Growth Rate:
6.90%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
0
Growth Rate:
0.00%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
5
Growth Rate:
17.24%
Total runs:
29
Run Growth:
6
Growth Rate:
20.69%