xlm-roberta-large-pooled-emotions6-v2

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-MORES",
    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.

Classification Report

Overall Performance:

Accuracy: 84%
Macro Avg: Precision: 0.81, Recall: 0.79, F1-score: 0.80
Weighted Avg: Precision: 0.84, Recall: 0.84, F1-score: 0.84

Per-Class Metrics:

Label	Precision	Recall	F1-score	Support
Anger	0.57	0.52	0.54	5439
Fear	0.78	0.79	0.79	5432
Disgust	0.95	0.93	0.94	5432
Sadness	0.87	0.83	0.85	5425
Joy	0.82	0.79	0.81	5152
None of Them	0.87	0.91	0.89	27461

Inference platform

This model is used by the 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 coded corpora (of any domain and language) at poltextlab{at}poltextlab{dot}com or by using the Babel Machine.

Debugging and issues

This architecture uses the sentencepiece tokenizer. In order to use 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 iss

Funding

The research was funded by European Union’s Horizon 2020 research and innovation program, “MORES” project (Grant No.: 101132601).

poltextlab
/

xlm-roberta-large-pooled-emotions6-v2

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