The State-Space/Mamba-370M is finetuned on ROC Stories dataset to be able to generate endings to short stories cohesively.
The Evaluation metrics on the ROC stories dataset for story ending generation are:
Bert (f1) : 0.878
Meteor: 0.1
bleu : 0.0125
Rouge1: 0.18
Perplexity : 207
To use the Model:
>>> from transformers import MambaForCausalLM, AutoTokenizer
>>> model_name = "DdIiVvYyAaMm/mamba-370m-story-generation"
>>> tokenizer = AutoTokenizer.from_pretrained(model_name)
>>> model = MambaForCausalLM.from_pretrained(model_name)
# And the rest of code standard as from transformers library.
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