knowledge-graph-nlp – AI Model by vishnun | AlphaNeural AI

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vishnun/
knowledge-graph-nlp

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token-classification

generated_from_trainer

vishnun/NLP-KnowledgeGraph

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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knowledge-graph-nlp

This model is a fine-tuned version of distilbert-base-uncased on the vishnun/NLP-KnowledgeGraph dataset. It achieves the following results on the evaluation set:

Loss: 0.1830
Precision: 0.8988
Recall: 0.8715
F1: 0.8849
Accuracy: 0.9453

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2908	1.0	2316	0.2461	0.8455	0.8023	0.8234	0.9167
0.1973	2.0	4632	0.2000	0.8745	0.8446	0.8593	0.9341
0.1593	3.0	6948	0.1863	0.8973	0.8632	0.8799	0.9427
0.1336	4.0	9264	0.1830	0.8988	0.8715	0.8849	0.9453

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2