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 13
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": 0.6096321393998064, "recall": 0.5785484611851172, "f1-score": 0.5936837143530521, "support": 4354.0}, "MajorClaim": {"precision": 0.821270962047661, "recall": 0.7922520221370796, "f1-score": 0.8065005417118094, "support": 2349.0}, "O": {"precision": 0.9242683294780247, "recall": 0.9027504911591355, "f1-score": 0.9133826964170352, "support": 10180.0}, "Premise": {"precision": 0.883730957171601, "recall": 0.9195453865709585, "f1-score": 0.901282521069989, "support": 13374.0}, "accuracy": 0.854942657897346, "macro avg": {"precision": 0.8097255970242733, "recall": 0.7982740902630727, "f1-score": 0.8037123683879714, "support": 30257.0}, "weighted avg": {"precision": 0.8530777420132861, "recall": 0.854942657897346, "f1-score": 0.8537315976828396, "support": 30257.0}}
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model.safetensors
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