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 30
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": 0.5691448382126348, "recall": 0.6786862655029857, "f1-score": 0.6191074795725958, "support": 4354.0}, "MajorClaim": {"precision": 0.7735177865612648, "recall": 0.8331204767986378, "f1-score": 0.802213568354171, "support": 2349.0}, "O": {"precision": 0.9313517338995047, "recall": 0.9049115913555992, "f1-score": 0.9179413083553385, "support": 10180.0}, "Premise": {"precision": 0.9156912369503322, "recall": 0.8657095857634216, "f1-score": 0.8899992313014068, "support": 13374.0}, "accuracy": 0.8494563241563936, "macro avg": {"precision": 0.797426398905934, "recall": 0.8206069798551611, "f1-score": 0.8073153968958781, "support": 30257.0}, "weighted avg": {"precision": 0.8600543728816776, "recall": 0.8494563241563936, "f1-score": 0.853603657884304, "support": 30257.0}}
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model.safetensors
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