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_cvi4.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e50_cvi4.json
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{"Claim": {"precision": 0.6132238547968885, "recall": 0.6809021113243762, "f1-score": 0.645293315143247, "support": 4168.0}, "MajorClaim": {"precision": 0.8150716597318539, "recall": 0.8192379182156134, "f1-score": 0.8171494785631519, "support": 2152.0}, "O": {"precision": 0.9452505100884153, "recall": 0.9038586603078257, "f1-score": 0.9240913120567376, "support": 9226.0}, "Premise": {"precision": 0.8901382642012328, "recall": 0.8851983765426986, "f1-score": 0.8876614477345405, "support": 12073.0}, "accuracy": 0.8554618197617582, "macro avg": {"precision": 0.8159210722045976, "recall": 0.8222992665976285, "f1-score": 0.8185488883744192, "support": 27619.0}, "weighted avg": {"precision": 0.8609099427319448, "recall": 0.8554618197617582, "f1-score": 0.8577606473413056, "support": 27619.0}}
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model.safetensors
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