pytorch bert text-classification transformers
.gitattributes README.md config.json pytorch_model.bin special_tokens_map.json tokenizer_config.json training_args.bin vocab.txt
learning rate: 2e-5  
training epochs: 3  
batch size: 64  
seed: 13    
model: bert-base-uncased  
trained on MNLI which is converted into two-way nli classification (predict entailment or not-entailment class)