readme: ---
  license: other
  model-index:
  - name: output_2
    results: []
  ---
  
  # Japanese-opt-2.7b Model
  
  ***Disclaimer: This model is a work in progress!***
  
  This model is a fine-tuned version of [facebook/opt-2.7b](https://huggingface.co/facebook/opt-2.7b) on the japanese wikipedia dataset.
  
  ## Quick start
  
  ```python
  from transformers import pipeline
  
  generator = pipeline('text-generation', model="tensorcat/japanese-opt-2.7b" , device=0, use_fast=False)
  generator("今日は", min_length=80, max_length=200, 
      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
  - distributed_type: multi-GPU
  - num_devices: 4
  - total_train_batch_size: 4
  - total_eval_batch_size: 4
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Pytorch 1.13.0+cu116
  
  