# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
This is a fine-tuned Bloom model to generate marketing emails based off of a travel destination and a short line of description!

## Model Details

<!-- Provide a longer summary of what this model is. -->
This project is modified from FourthBrain [training material](https://huggingface.co/FourthBrainGenAI/MarketMail-AI-Model)

### Foundational Model Sources [optional]

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- **Repository:** [Bloom](https://huggingface.co/bigscience/bloom)

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
For proof-of-concept only

## Training Details

<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
The training data is synthetic and generated with OpenAI's gpt-3.5-turbo mode

## Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Fine-tuned in Google Colab with premium GPU for <10 min, with 100 samples


{"language": ["en"], "license": "bigscience-bloom-rail-1.0", "datasets": ["yajingchen/MarketMail-AI-Dataset"], "pipeline_tag": "text-generation"}
text-generation en dataset:yajingchen/MarketMail-AI-Dataset license:bigscience-bloom-rail-1.0 has_space region:us
TAGS
#text-generation #en #dataset-yajingchen/MarketMail-AI-Dataset #license-bigscience-bloom-rail-1.0 #has_space #region-us 

# Model Card for Model ID


This is a fine-tuned Bloom model to generate marketing emails based off of a travel destination and a short line of description!

## Model Details


This project is modified from FourthBrain training material

### Foundational Model Sources [optional]


- Repository: Bloom

## Uses


For proof-of-concept only

## Training Details


The training data is synthetic and generated with OpenAI's gpt-3.5-turbo mode

## Environmental Impact


Fine-tuned in Google Colab with premium GPU for <10 min, with 100 samples


# Model Card for Model ID


This is a fine-tuned Bloom model to generate marketing emails based off of a travel destination and a short line of description! ## Model Details


This project is modified from FourthBrain training material ### Foundational Model Sources [optional]


- Repository: Bloom ## Uses


For proof-of-concept only ## Training Details


The training data is synthetic and generated with OpenAI's gpt-3.5-turbo mode ## Environmental Impact


Fine-tuned in Google Colab with premium GPU for <10 min, with 100 samples
TAGS
#text-generation #en #dataset-yajingchen/MarketMail-AI-Dataset #license-bigscience-bloom-rail-1.0 #has_space #region-us 
 # Model Card for Model ID


This is a fine-tuned Bloom model to generate marketing emails based off of a travel destination and a short line of description! ## Model Details


This project is modified from FourthBrain training material ### Foundational Model Sources [optional]


- Repository: Bloom ## Uses


For proof-of-concept only ## Training Details


The training data is synthetic and generated with OpenAI's gpt-3.5-turbo mode ## Environmental Impact


Fine-tuned in Google Colab with premium GPU for <10 min, with 100 samples
TAGS
#text-generation #en #dataset-yajingchen/MarketMail-AI-Dataset #license-bigscience-bloom-rail-1.0 #has_space #region-us 
# Model Card for Model ID


This is a fine-tuned Bloom model to generate marketing emails based off of a travel destination and a short line of description!## Model Details


This project is modified from FourthBrain training material### Foundational Model Sources [optional]


- Repository: Bloom## Uses


For proof-of-concept only## Training Details


The training data is synthetic and generated with OpenAI's gpt-3.5-turbo mode## Environmental Impact


Fine-tuned in Google Colab with premium GPU for <10 min, with 100 samples