alex2awesome / stance-detection-classification-model

huggingface.co
Total runs: 17
24-hour runs: -2
7-day runs: -1
30-day runs: 6
Model's Last Updated: January 04 2024
text-classification

Introduction of stance-detection-classification-model

Model Details of stance-detection-classification-model

Stance detection model distilled from a news dataset label by a larger model. The larger model was trained on a combination of stance datasets in the literature:

FNC-1 (Pomerleau and Rao, 2017), Perspectrum (Chen et al., 2019), ARC (Habernal et al., 2017), Emergent (Ferreira and Vlachos, 2016) NewsClaims (Reddy et al., 2021)7.

Acheives this score on distilled data. Hand-checked data to come, but similar models with similar scores achieved a 0.57.

    "eval_samples": 6482,
    "test_f1": 0.43183643890513856,
    "test_loss": 2.9971516132354736,
    "test_runtime": 46.1838,
    "test_samples_per_second": 140.352,
    "test_steps_per_second": 8.791
}```

Runs of alex2awesome stance-detection-classification-model on huggingface.co

17
Total runs
-2
24-hour runs
0
3-day runs
-1
7-day runs
6
30-day runs

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stance-detection-classification-model install

stance-detection-classification-model is an open source model from GitHub that offers a free installation service, and any user can find stance-detection-classification-model on GitHub to install. At the same time, huggingface.co provides the effect of stance-detection-classification-model install, users can directly use stance-detection-classification-model installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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