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README.md

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+---
+base_model: distilbert/distilbert-base-uncased
+datasets:
+- nyu-mll/multi-nli
+language: en
+library_name: transformers
+license: apache-2.0
+metrics:
+- accuracy
+pipeline_tag: sentence-similarity
+datasets_description:
+- MNLI
+model-index:
+- name: distilbert-base-uncased-mnli
+  results:
+  - task:
+      type: natural-language-inference
+    dataset:
+      name: nyu-mll/multi-nli
+      type: nli
+    metrics:
+    - type: accuracy
+      value: 0.8213
+---
+
+# Model Card for distilbert-base-uncased
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+A fine-tuned version of `distilbert/distilbert-base-uncased` using the `nyu-mll/multi-nli` dataset.
+
+- **Developed by:** Karl Weinmeister
+- **Language(s) (NLP):** en
+- **License:** apache-2.0
+- **Finetuned from model [optional]:** distilbert/distilbert-base-uncased
+
+
+
+#### Training Hyperparameters
+
+- **Training regime:** The model was trained for 5 epochs with batch size 128.