Create README.md

README.md

@@ -0,0 +1,24 @@
+## Model Description
+This model is based on RoBERTa large (Liu, 2019), fine-tuned on a dataset of intent expressions available [here](https://research.ibm.com/haifa/dept/vst/debating_data.shtml) and also on 🤗 Transformer datasets hub [here](https://huggingface.co/datasets/ibm/vira-intents).
+
+The model was created as part of the work described in [Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy
+](https://arxiv.org/abs/2205.11966). If you use this model, please cite our work.
+
+The official GitHub is [here](https://github.com/IBM/vira-intent-discovery). The script used for training the model is [trainer.py](https://github.com/IBM/vira-intent-discovery/blob/master/trainer.py).
+
+
+## Training parameters
+1. base_model = 'roberta-large'
+1. learning_rate=5e-6
+1. per_device_train_batch_size=16,
+1. per_device_eval_batch_size=16,
+1. num_train_epochs=15,
+1. load_best_model_at_end=True,
+1. save_total_limit=1,
+1. save_strategy='epoch',
+1. evaluation_strategy='epoch',
+1. metric_for_best_model='accuracy',
+1. seed=123
+
+## Data collator
+DataCollatorWithPadding