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 13
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": 0.5771842462652784, "recall": 0.5983106522759268, "f1-score": 0.5875576036866359, "support": 4262.0}, "MajorClaim": {"precision": 0.7786116322701688, "recall": 0.766743648960739, "f1-score": 0.7726320688852689, "support": 2165.0}, "O": {"precision": 0.9130388953304522, "recall": 0.8777867855695176, "f1-score": 0.8950658744510462, "support": 9868.0}, "Premise": {"precision": 0.8741821463488004, "recall": 0.891479407930056, "f1-score": 0.8827460510328068, "support": 13039.0}, "accuracy": 0.835071930183405, "macro avg": {"precision": 0.785754230053675, "recall": 0.7835801236840598, "f1-score": 0.7845003995139396, "support": 29334.0}, "weighted avg": {"precision": 0.8370485534468686, "recall": 0.835071930183405, "f1-score": 0.83587491458883, "support": 29334.0}}
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model.safetensors
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