Token Classification
Transformers
Safetensors
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Theoreticallyhugo/longformer-full_labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/longformer-full_labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/longformer-full_labels")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/longformer-full_labels") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/longformer-full_labels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 15
Browse files- meta_data/meta_s42_e50_cvi4.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e50_cvi4.json
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{"B-Claim": {"precision": 0.5627240143369175, "recall": 0.5793357933579336, "f1-score": 0.5709090909090909, "support": 271.0}, "B-MajorClaim": {"precision": 0.7342657342657343, "recall": 0.7553956834532374, "f1-score": 0.7446808510638296, "support": 139.0}, "B-Premise": {"precision": 0.7878787878787878, "recall": 0.7804107424960506, "f1-score": 0.7841269841269841, "support": 633.0}, "I-Claim": {"precision": 0.5959111559818273, "recall": 0.5901024743814046, "f1-score": 0.5929925907321362, "support": 4001.0}, "I-MajorClaim": {"precision": 0.7913669064748201, "recall": 0.7103825136612022, "f1-score": 0.7486910994764399, "support": 2013.0}, "I-Premise": {"precision": 0.8767945706081963, "recall": 0.8889378969654199, "f1-score": 0.882824477638092, "support": 11336.0}, "O": {"precision": 0.9142672969488612, "recall": 0.9223932365055278, "f1-score": 0.9183122909247868, "support": 9226.0}, "accuracy": 0.8376117889858431, "macro avg": {"precision": 0.7518869237850208, "recall": 0.746708334402968, "f1-score": 0.74893391212448, "support": 27619.0}, "weighted avg": {"precision": 0.8365590307236803, "recall": 0.8376117889858431, "f1-score": 0.8368987072750449, "support": 27619.0}}
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model.safetensors
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