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 12
Browse files- meta_data/meta_s42_e20_cvi0.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e20_cvi0.json
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{"Claim": {"precision": 0.5933806146572104, "recall": 0.5889253871421868, "f1-score": 0.5911446066886481, "support": 4262.0}, "MajorClaim": {"precision": 0.7994011976047904, "recall": 0.7399538106235566, "f1-score": 0.7685296234108899, "support": 2165.0}, "O": {"precision": 0.9005203550658096, "recall": 0.8944061613295501, "f1-score": 0.8974528445777621, "support": 9868.0}, "Premise": {"precision": 0.8794646214001053, "recall": 0.8970013037809648, "f1-score": 0.8881464044346572, "support": 13039.0}, "accuracy": 0.8397763687188927, "macro avg": {"precision": 0.7931916971819789, "recall": 0.7800716657190646, "f1-score": 0.7863183697779894, "support": 29334.0}, "weighted avg": {"precision": 0.8390729472526346, "recall": 0.8397763687188927, "f1-score": 0.8392967405095946, "support": 29334.0}}
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model.safetensors
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