Text Classification
Transformers
Safetensors
English
modernbert
Generated from Trainer
subjectivity-detection
Instructions to use AIWizards/ModernBERT-base-subjectivity-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/ModernBERT-base-subjectivity-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/ModernBERT-base-subjectivity-english")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/ModernBERT-base-subjectivity-english") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/ModernBERT-base-subjectivity-english") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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metrics:
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- accuracy
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model-index:
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- name: ModernBERT-base-subjectivity-english
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ModernBERT-base-subjectivity-english
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.0478
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- Macro F1: 0.7034
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- Transformers 4.49.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: ModernBERT-base-subjectivity-english
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results: []
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language:
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- en
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ModernBERT-base-subjectivity-english
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the [CheckThat! Lab Task 1 Subjectivity Detection at CLEF 2025](arxiv.org/abs/2507.11764).
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It achieves the following results on the evaluation set:
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- Loss: 1.0478
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- Macro F1: 0.7034
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- Transformers 4.49.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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