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 33
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": 0.618805002315887, "recall": 0.6136885622416169, "f1-score": 0.6162361623616236, "support": 4354.0}, "MajorClaim": {"precision": 0.8121931260229133, "recall": 0.8450404427415922, "f1-score": 0.8282912580847068, "support": 2349.0}, "O": {"precision": 0.9235939507759218, "recall": 0.9178781925343812, "f1-score": 0.9207272010641968, "support": 10180.0}, "Premise": {"precision": 0.8986395574824338, "recall": 0.8989083295947361, "f1-score": 0.8987739234449761, "support": 13374.0}, "accuracy": 0.8600654394024523, "macro avg": {"precision": 0.813307909149289, "recall": 0.8188788817780815, "f1-score": 0.8160071362388759, "support": 30257.0}, "weighted avg": {"precision": 0.8600558711630416, "recall": 0.8600654394024523, "f1-score": 0.8600308614585094, "support": 30257.0}}
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model.safetensors
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