Update README.md

README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+datasets:
+- qiaojin/PubMedQA
+language:
+- en
+metrics:
+- accuracy
+base_model:
+- google-bert/bert-base-uncased
+---
+
+# GEM_PubMedQA Model Card
+
+This model card provides an overview of the GEM_PubMedQA model, a finetuned implementation of the GEM architecture designed for the PubMedQA dataset.
+
+## Purpose
+
+The GEM_PubMedQA model was developed to assess the performance of the GEM architecture on domain-specific datasets, with a focus on healthcare. The PubMedQA dataset, a key benchmark in this field, was selected to evaluate its effectiveness.
+
+## Key Details
+
+- **License**: Apache-2.0
+- **Dataset**: qiaojin/PubMedQA
+- **Language**: English
+- **Metrics**: Accuracy: 92.5%
+- **Base Model**: google-bert/bert-base-uncased
+
+## Model Details
+
+The GEM_PubMedQA model is built on the GEM architecture and finetuned from the `google-bert/bert-base-uncased` model using the PubMedQA dataset. The training was performed with the following parameters:
+
+- **Number of epochs**: 5
+- **Batch size**: 128
+- **Learning rate**: 2e-5
+- **Maximum sequence length**: 128
+- **Gradient accumulation steps**: 2
+- **Cluster size**: 256
+- **Threshold**: 0.65