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--- |
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model-index: |
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- name: poltextlab/illframes-climate-v5 |
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results: |
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- task: |
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type: text-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 72% |
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- name: F1-Score |
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type: f1 |
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value: 64% |
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tags: |
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- text-classification |
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- pytorch |
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metrics: |
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- precision |
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- recall |
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- f1-score |
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language: |
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- en |
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base_model: |
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- xlm-roberta-large |
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pipeline_tag: text-classification |
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library_name: transformers |
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license: cc-by-4.0 |
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extra_gated_prompt: Our models are intended for academic use only. If you are not |
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affiliated with an academic institution, please provide a rationale for using our |
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models. Please allow us a few business days to manually review subscriptions. |
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extra_gated_fields: |
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Name: text |
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Country: country |
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Institution: text |
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Institution Email: text |
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Please specify your academic use case: text |
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--- |
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# illframes-climate-v5 |
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# How to use the model |
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```python |
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from transformers import AutoTokenizer, pipeline |
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tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large") |
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pipe = pipeline( |
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model="poltextlab/illframes-climate-v5", |
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task="text-classification", |
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tokenizer=tokenizer, |
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use_fast=False, |
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token="<your_hf_read_only_token>" |
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) |
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text = "<text_to_classify>" |
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pipe(text) |
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``` |
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# Classification Report |
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## Overall Performance: |
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* **Accuracy:** 72% |
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* **Macro Avg:** Precision: 0.45, Recall: 0.29, F1-score: 0.31 |
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* **Weighted Avg:** Precision: 0.65, Recall: 0.72, F1-score: 0.64 |
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## Per-Class Metrics: |
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| Label | Precision | Recall | F1-score | Support | |
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|:-----------------------------------------|------------:|---------:|-----------:|----------:| |
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| 710: Threatening economic growth | 0.63 | 0.3 | 0.41 | 63 | |
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| 720: Threatening national sovereignty | 1 | 0.15 | 0.26 | 20 | |
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| 721: Climate conspiracy | 0 | 0 | 0 | 15 | |
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| 722: Scientific scepticism and denial | 0 | 0 | 0 | 19 | |
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| 723: Climate movement bashing | 0.33 | 0.28 | 0.3 | 18 | |
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| 724: Other polluters as the real problem | 0.77 | 0.8 | 0.78 | 25 | |
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| 730: Threatening energy security | 0.6 | 0.09 | 0.16 | 33 | |
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| 740: Threatening way of life | 0 | 0 | 0 | 11 | |
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| 799: None of them | 0.73 | 0.99 | 0.84 | 356 | |
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# Inference platform |
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This model is used by the [CAP Babel Machine](https://babel.poltextlab.com), an open-source and free natural language processing tool, designed to simplify and speed up projects for comparative research. |
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# Cooperation |
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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](https://babel.poltextlab.com). |
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## Debugging and issues |
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This architecture uses the `sentencepiece` tokenizer. In order to run the model before `transformers==4.27` you need to install it manually. |
