Token Classification
Transformers
Safetensors
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Theoreticallyhugo/longformer-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/longformer-simple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/longformer-simple")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/longformer-simple") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/longformer-simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 44
Browse files- meta_data/meta_s42_e50_cvi1.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e50_cvi1.json
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{"Claim": {"precision": 0.6089013115459041, "recall": 0.6504363803399174, "f1-score": 0.6289838978345363, "support": 4354.0}, "MajorClaim": {"precision": 0.7846758349705305, "recall": 0.8501489995742869, "f1-score": 0.8161013485901104, "support": 2349.0}, "O": {"precision": 0.9292533413727263, "recall": 0.9083497053045186, "f1-score": 0.9186826287814813, "support": 10180.0}, "Premise": {"precision": 0.9074752097635392, "recall": 0.8895618363989831, "f1-score": 0.8984292402960278, "support": 13374.0}, "accuracy": 0.8584129292395148, "macro avg": {"precision": 0.807576424413175, "recall": 0.8246242304044265, "f1-score": 0.815549278875539, "support": 30257.0}, "weighted avg": {"precision": 0.8623040062586698, "recall": 0.8584129292395148, "f1-score": 0.860078652203599, "support": 30257.0}}
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model.safetensors
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