Model card

README.md

@@ -1,3 +1,63 @@
 ---
 license: cc-by-nc-sa-4.0
+language:
+- en
+tags:
+- disfluency identification
 ---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This BERT model classifies a dialogue system's user utterance as fluent or disfluent.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** 4i Intelligent Insights
+- **Model type:** BERT base cased
+- **Language(s) (NLP):** English
+- **License:** cc-by-nc-sa-4.0
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** To be announced
+- **Paper:** To be announced
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+The model is intended to be used for classifying English utterances of users interacting with a dialogue system. In our evaluation, the user utterances were speech transcriptions.
+
+
+## Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+This model has not been evaluated to be used on machine-generated text. 
+
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+This model may not be accurate with non-native English speakers.
+
+
+
+
+## Training Data
+
+<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+The model has been fine-tuned on the Fisher English Corpus:
+http://github.com/joshua-decoder/fisher-callhome-corpus