Edit model card


This model is a fine-tuned version of facebook/opt-1.3b on an english monogatari text dataset.

It achieves the following results on the evaluation set:

  • Loss: 1.1909
  • Accuracy: 0.7299

Quick start

from transformers import pipeline

generator = pipeline('text-generation', model="monogptari-1.3b" , device=0, use_fast=False)
generator("I think its about time I talked about Kiss-Shot", min_length=1000, max_length=2000, 
    do_sample=True, early_stopping=True, temperature=.98, top_k=50, top_p=1.0)

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.22.0.dev0
  • Pytorch 1.11.0+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
Downloads last month
Hosted inference API
Text Generation
This model can be loaded on the Inference API on-demand.