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ema_task_entailment – AI Model by ArghaKamalSamanta | AlphaNeural AI
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ema_task_entailment
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adapter-transformers
safetensors
code
text-classification
en
nyu-mll/multi_nli
sinancavdar/BertForSequenceClassification
adapter
apache-2.0
us
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Entailment Detection by Fine-tuning BERT
The model in this repository is fine-tuned on Google's encoder-decoder transformer-based model BERT.
New York University's Multi-NLI dataset is used for fine-tuning.
Accuracy achieved: ~74%
image/png
Notebook used for fine-tuning:
here
N.B.:
Due to computational resource constraints, only 11K samples are used for fine-tuning. There is room for accuracy improvement if a model is trained on all the 390K samples available in the dataset.
