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metadata
license: apache-2.0
metrics:
  - bertscore
  - rouge
  - bleu
pipeline_tag: text-generation
language:
  - en
library_name: transformers
tags:
  - Story-Generation
  - State-Space
  - text-generation-inference
  - story-writing

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.