v 0.4.1

This release has some new functionality:

• Diverse batching: allow multiple datasets in a single batch: https://github.com/machamp-nlp/machamp/blob/master/docs/diverse.md
• Accordingly, MachampSampler has been redone
• Fixed --raw_text
• Reset the weights of the language model
• Set the threshold for multi* tasks in the predict.py function
• More detailed metrics reporting: https://github.com/machamp-nlp/machamp/blob/master/docs/metrics.md
• Automatically skips huge inputs (because exploding memory) during training, now the length is set to batch_size*max_words_in_batch

Note that this release is not fully backwards compatible, since the parameters configuration now expects reset_transformer_model and batching/diverse.