pszemraj/gpt-peter-2.7B
- This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on about 80k WhatsApp and iMessage texts.
- The model is too large to use the inference API. linked here is a notebook for testing in Colab.
- alternatively, you can message a bot on telegram where I test LLMs for dialogue generation
- the telegram bot code and the model training code can be found in this repository
Usage in python
Install the transformers library if you don't have it:
pip install -U transformers
load the model into a pipeline
object:
from transformers import pipeline
import torch
my_chatbot = pipeline('text-generation',
'pszemraj/gpt-peter-2.7B',
device=0 if torch.cuda.is_available() else -1,
)
generate text!
my_chatbot('Did you ever hear the tragedy of Darth Plagueis The Wise?')
(example above for simplicity, but adding generation parameters such as no_repeat_ngram_size
are recommended to get better generations)
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 6e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu113
- Datasets 2.0.0
- Tokenizers 0.11.6
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Model tree for pszemraj/gpt-peter-2.7B
Base model
EleutherAI/gpt-neo-2.7B