pytorch bart seq2seq transformers text2text-generation
.gitattributes README.md config.json log.txt merges.txt pytorch_model.bin special_tokens_map.json tokenizer_config.json train_args.json vocab.json
## TextAttack Model CardSince this was a classification task, the model was trained with a cross-entropy loss function.
The best score the model achieved on this task was 0.7256317689530686, as measured by the
eval set accuracy, found after 4 epochs.

For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).
