---
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: output_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# monogptari-6.7b

This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on an english monogatari (物語) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7030
- Accuracy: 0.8436

## Quick start

```python
from transformers import pipeline

generator = pipeline('text-generation', model="monogptari-6.7b" , device=0, use_fast=False)
generator("I think its about time I talked about Kiss-Shot", min_length=100, max_length=800, 
    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
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- 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