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") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 43
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": 0.6053575195106518, "recall": 0.6591639871382636, "f1-score": 0.6311159978009895, "support": 4354.0}, "MajorClaim": {"precision": 0.8087291399229781, "recall": 0.8045977011494253, "f1-score": 0.8066581306017925, "support": 2349.0}, "O": {"precision": 0.9296835760924159, "recall": 0.9091355599214146, "f1-score": 0.9192947603675194, "support": 10180.0}, "Premise": {"precision": 0.904794313369631, "recall": 0.8946463286974727, "f1-score": 0.8996917061433192, "support": 13374.0}, "accuracy": 0.8586442806623261, "macro avg": {"precision": 0.8121411372239192, "recall": 0.816885894226644, "f1-score": 0.8141901487284051, "support": 30257.0}, "weighted avg": {"precision": 0.8626211898487851, "recall": 0.8586442806623261, "f1-score": 0.8604163182639131, "support": 30257.0}}
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model.safetensors
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