MonoGPTari-1.3b

This model is a fine-tuned version of 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

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