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 18
Browse files- meta_data/meta_s42_e20_cvi0.json +1 -1
- model.safetensors +1 -1
meta_data/meta_s42_e20_cvi0.json
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{"Claim": {"precision": 0.5889078083191438, "recall": 0.5680431722196152, "f1-score": 0.5782873522035114, "support": 4262.0}, "MajorClaim": {"precision": 0.7991159135559921, "recall": 0.751501154734411, "f1-score": 0.7745774815520113, "support": 2165.0}, "O": {"precision": 0.9093172857439302, "recall": 0.8881232265910012, "f1-score": 0.8985953040090229, "support": 9868.0}, "Premise": {"precision": 0.8732747804265998, "recall": 0.9074315514993481, "f1-score": 0.8900255754475703, "support": 13039.0}, "accuracy": 0.8401172700620441, "macro avg": {"precision": 0.7926539470114164, "recall": 0.7787747762610939, "f1-score": 0.7853714283030289, "support": 29334.0}, "weighted avg": {"precision": 0.8386099362381009, "recall": 0.8401172700620441, "f1-score": 0.8390946642419506, "support": 29334.0}}
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model.safetensors
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