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 14
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": 0.632554945054945, "recall": 0.6345888837850253, "f1-score": 0.6335702820454024, "support": 4354.0}, "MajorClaim": {"precision": 0.816793893129771, "recall": 0.8199233716475096, "f1-score": 0.8183556405353729, "support": 2349.0}, "O": {"precision": 0.9107990314769976, "recall": 0.9237721021611002, "f1-score": 0.9172396976347231, "support": 10180.0}, "Premise": {"precision": 0.9039073148568832, "recall": 0.8925527142216241, "f1-score": 0.8981941309255079, "support": 13374.0}, "accuracy": 0.8602967908252636, "macro avg": {"precision": 0.8160137961296492, "recall": 0.8177092679538147, "f1-score": 0.8168399377852517, "support": 30257.0}, "weighted avg": {"precision": 0.8604152313535001, "recall": 0.8602967908252636, "f1-score": 0.8603242501425289, "support": 30257.0}}
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model.safetensors
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