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 1
Browse files- meta_data/meta_s42_e16_cvi2.json +1 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
meta_data/meta_s42_e16_cvi2.json
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{"B-Claim": {"precision": 0.5775075987841946, "recall": 0.5993690851735016, "f1-score": 0.5882352941176471, "support": 317.0}, "B-MajorClaim": {"precision": 0.7931034482758621, "recall": 0.44516129032258067, "f1-score": 0.5702479338842975, "support": 155.0}, "B-Premise": {"precision": 0.77491601343785, "recall": 0.8408262454434994, "f1-score": 0.8065268065268065, "support": 823.0}, "I-Claim": {"precision": 0.6112942210503186, "recall": 0.6404235727440147, "f1-score": 0.6255199550309162, "support": 4344.0}, "I-MajorClaim": {"precision": 0.7840629611411707, "recall": 0.7540208136234626, "f1-score": 0.768748492886424, "support": 2114.0}, "I-Premise": {"precision": 0.8953488372093024, "recall": 0.8771220695230396, "f1-score": 0.8861417381297101, "support": 13607.0}, "O": {"precision": 0.8846600139243443, "recall": 0.89895059544865, "f1-score": 0.8917480554418388, "support": 8481.0}, "accuracy": 0.8339532857477967, "macro avg": {"precision": 0.7601275848318633, "recall": 0.7222676674683927, "f1-score": 0.7338811822882343, "support": 29841.0}, "weighted avg": {"precision": 0.8358480354026695, "recall": 0.8339532857477967, "f1-score": 0.834478384347318, "support": 29841.0}}
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model.safetensors
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training_args.bin
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