Create README.md

README.md

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+---
+license: apache-2.0
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: ToxicChat-T5-Large
+  results:
+  - task:
+      type: text-classification
+    dataset:
+      name: ToxicChat
+      type: toxicchat0124
+    metrics:
+    - name: precision
+      type: precision
+      value: 0.7983
+      verified: false
+    - name: recall
+      type: recall
+      value: 0.8475
+      verified: false
+    - name: f1
+      type: f1
+      value: 0.8221
+      verified: false
+    - name: auprc
+      type: auprc
+      value: 0.8850
+      verified: false
+---
+# ToxicChat-T5-Large Model Card
+
+## Model Details
+
+**Model type:**
+ToxicChat-T5-Large is an open-source moderation model trained by fine-tuning T5-large on [ToxicChat](https://huggingface.co/datasets/lmsys/toxic-chat).
+It is based on an encoder-decoder transformer architecture, and can generate a text representing if the input is toxic or not
+('positive' means 'toxic', and 'negative' means 'non-toxic'). 
+
+**Model date:**
+ToxicChat-T5-Large was trained on Jan 2024.
+
+**Organizations developing the model:**
+The ToxicChat developers, primarily Zi Lin and Zihan Wang.
+
+**Paper or resources for more information:**
+https://arxiv.org/abs/2310.17389
+
+**License:**
+Apache License 2.0
+
+**Where to send questions or comments about the model:**
+https://huggingface.co/datasets/lmsys/toxic-chat/discussions