Token Classification
Transformers
Safetensors
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Theoreticallyhugo/longformer-full_labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/longformer-full_labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/longformer-full_labels")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/longformer-full_labels") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/longformer-full_labels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 21
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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{"B-Claim": {"precision": 0.5667655786350149, "recall": 0.6474576271186441, "f1-score": 0.6044303797468353, "support": 295.0}, "B-MajorClaim": {"precision": 0.7569444444444444, "recall": 0.6987179487179487, "f1-score": 0.7266666666666666, "support": 156.0}, "B-Premise": {"precision": 0.7984595635430038, "recall": 0.8555708390646493, "f1-score": 0.8260292164674635, "support": 727.0}, "I-Claim": {"precision": 0.5945945945945946, "recall": 0.6000482741974414, "f1-score": 0.5973089860643921, "support": 4143.0}, "I-MajorClaim": {"precision": 0.8382909680908599, "recall": 0.7067943456452348, "f1-score": 0.7669470559129143, "support": 2193.0}, "I-Premise": {"precision": 0.8820070261188331, "recall": 0.9192867945554406, "f1-score": 0.900261137311455, "support": 12563.0}, "O": {"precision": 0.9358857490124582, "recall": 0.9076620825147348, "f1-score": 0.9215578716401537, "support": 10180.0}, "accuracy": 0.8509435833030373, "macro avg": {"precision": 0.7675639892056012, "recall": 0.7622197016877277, "f1-score": 0.7633144734014116, "support": 30257.0}, "weighted avg": {"precision": 0.851885777645927, "recall": 0.8509435833030373, "f1-score": 0.8507187105998458, "support": 30257.0}}
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model.safetensors
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