readme: ---
  license: other
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: output
    results: []
  ---
  
  
  
  # MonoGPTari-1.3b
  
  This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on an english monogatari text dataset.
  
  This was primarily used as a PoC, use the 6.7b for optimal spiciness.
  
  It achieves the following results on the evaluation set:
  - Loss: 1.1909
  - Accuracy: 0.7299
  
  ## Quick start
  
  ```python
  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
  