Model Card for Model ID
This model is a fine-tuned FLAN-T5 for dialogue summarization.
It was trained on conversational data (similar to the SAMSum dataset) to generate concise summaries of multi-turn dialogues.
Deployed Model Link
Model Details
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Base Model: FLAN-T5
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Framework: Hugging Face Transformers
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Files: Includes model.safetensors, tokenizer, and configs
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Uses
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Summarizing chat conversations
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Condensing customer support logs
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Creating short summaries of dialogues
Direct Use
from transformers import pipeline
summarizer = pipeline("summarization", model="thelostboy56/flan-t5-dialogue-summarizer")
dialogue = """Amanda: I baked cookies. Do you want some?
Jerry: Sure!
Amanda: I'll bring you tomorrow :-)"""
Output:
summary = summarizer(dialogue, max_length=60, min_length=10, do_sample=False)
print(summary[0]['summary_text'])
Amanda offers Jerry some cookies and says she'll bring them tomorrow.
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
from transformers import pipeline
summarizer = pipeline("summarization", model="thelostboy56/flan-t5-dialogue-summarizer")
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Training Details
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Dataset: Dialogue dataset (SAMSum-like)
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Objective: Summarize conversations into short, natural summaries
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Epochs: (fill in what you used, e.g., 3–5)
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Optimizer: AdamW
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Learning Rate: 3e-5
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Framework: 🤗 Transformers + PyTorch
Training Data
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Training Procedure
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Training Hyperparameters
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Evaluation
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Summary
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
@misc{thelostboy56_flan_dialogue_summarizer,
title = {FLAN-T5 Dialogue Summarizer},
author = {thelostboy56},
year = {2025},
url = {
https://huggingface.co/thelostboy56/flan-t5-dialogue-summarizer}
}
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