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")# pip install -U transformers accelerate # 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 26
Browse files- meta_data/meta_s42_e50_cvi3.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e50_cvi3.json
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{"Claim": {"precision": 0.636963696369637, "recall": 0.66417004048583, "f1-score": 0.6502824298880191, "support": 4940.0}, "MajorClaim": {"precision": 0.8252173913043478, "recall": 0.8674588665447898, "f1-score": 0.8458110516934045, "support": 2188.0}, "O": {"precision": 0.9229943392543432, "recall": 0.9029886374486775, "f1-score": 0.912881895844394, "support": 10473.0}, "Premise": {"precision": 0.8905271151047269, "recall": 0.8851500094345557, "f1-score": 0.8878304207936407, "support": 15899.0}, "accuracy": 0.8569850746268657, "macro avg": {"precision": 0.8189256355082637, "recall": 0.8299418884784633, "f1-score": 0.8242014495548646, "support": 33500.0}, "weighted avg": {"precision": 0.8590204964268868, "recall": 0.8569850746268657, "f1-score": 0.8578882907501019, "support": 33500.0}}
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model.safetensors
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