# A fine-tuned GPT-Neo Model for Tweet Generation 

This model is a fine-tuned version of the 1.3B-parameter GPT-Neo model developed by EleutherAI. As the default GPT-Neo model did not receive any social media data during its pre-training, we fine-tuned it with tweets collected from Twitter from October to November 2021 related to climate change hashtags. The model received data in the format `<username> - <tweet>` We used an 80/20 train/test split, and to differentiate distinct tweets, we added a start-of-tweet and an end-of-tweet token to the training dataset.
	
To guide you in using this model, please consult the `gpt_neo_1.3B_twitter.ipynb` Jupyter Notebook file from this repository. 

---
license: cc-by-3.0
---

{}
region:us
TAGS
#region-us 

# A fine-tuned GPT-Neo Model for Tweet Generation 

This model is a fine-tuned version of the 1.3B-parameter GPT-Neo model developed by EleutherAI. As the default GPT-Neo model did not receive any social media data during its pre-training, we fine-tuned it with tweets collected from Twitter from October to November 2021 related to climate change hashtags. The model received data in the format '<username> - <tweet>' We used an 80/20 train/test split, and to differentiate distinct tweets, we added a start-of-tweet and an end-of-tweet token to the training dataset.
	
To guide you in using this model, please consult the 'gpt_neo_1.3B_twitter.ipynb' Jupyter Notebook file from this repository. 

---
license: cc-by-3.0
---

# A fine-tuned GPT-Neo Model for Tweet Generation 

This model is a fine-tuned version of the 1.3B-parameter GPT-Neo model developed by EleutherAI. As the default GPT-Neo model did not receive any social media data during its pre-training, we fine-tuned it with tweets collected from Twitter from October to November 2021 related to climate change hashtags. The model received data in the format '<username> - <tweet>' We used an 80/20 train/test split, and to differentiate distinct tweets, we added a start-of-tweet and an end-of-tweet token to the training dataset.
	
To guide you in using this model, please consult the 'gpt_neo_1.3B_twitter.ipynb' Jupyter Notebook file from this repository. 

---
license: cc-by-3.0
---
TAGS
#region-us 
 # A fine-tuned GPT-Neo Model for Tweet Generation 

This model is a fine-tuned version of the 1.3B-parameter GPT-Neo model developed by EleutherAI. As the default GPT-Neo model did not receive any social media data during its pre-training, we fine-tuned it with tweets collected from Twitter from October to November 2021 related to climate change hashtags. The model received data in the format '<username> - <tweet>' We used an 80/20 train/test split, and to differentiate distinct tweets, we added a start-of-tweet and an end-of-tweet token to the training dataset.
	
To guide you in using this model, please consult the 'gpt_neo_1.3B_twitter.ipynb' Jupyter Notebook file from this repository. 

---
license: cc-by-3.0
---
passage: TAGS
#region-us 
# A fine-tuned GPT-Neo Model for Tweet Generation 

This model is a fine-tuned version of the 1.3B-parameter GPT-Neo model developed by EleutherAI. As the default GPT-Neo model did not receive any social media data during its pre-training, we fine-tuned it with tweets collected from Twitter from October to November 2021 related to climate change hashtags. The model received data in the format '<username> - <tweet>' We used an 80/20 train/test split, and to differentiate distinct tweets, we added a start-of-tweet and an end-of-tweet token to the training dataset.
	
To guide you in using this model, please consult the 'gpt_neo_1.3B_twitter.ipynb' Jupyter Notebook file from this repository. 

---
license: cc-by-3.0
---