pszemraj/led-base-book-summary
summarization model by pszemraj
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Model card & documentation
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The Longformer Encoder-Decoder (LED) for Narrative-Esque Long Text Summarization is a model I fine-tuned from allenai/led-base-16384 to condense extensive technical, academic, and narrative content in a fairly generalizable way. The model was trained on the BookSum dataset released by SalesForce, which leads to the bsd-3-clause license. The training process involved 16 epochs with parameters tweaked to facilitate very fine-tuning-type training (super low learning rate). Model checkpoint: pszemraj/led-base-16384-finetuned-booksum. This model is the smallest/fastest booksum-tuned model I have worked on. If you're looking for higher quality summaries, check out: There are also other variants on other datasets etc on my hf profile, feel free to try them out :) I recommend using encodernorepeatngramsize=3 when calling the pipeline object, as it enhances the summary quality by encouraging the use of new vocabulary…
Read the full model card ↗ · Preview checked 2026-11-01T08:53:57.823Z
Inside the original model card — Document outline
- LED-Based Summarization Model: Condensing Long and Technical Information
- Key Features and Use Cases
- Training Details
- Other Related Checkpoints
- Basic Usage
- Simplified Usage with TextSum
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Model overview
pszemraj/led-base-book-summary is a summarization model repository published by pszemraj on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- summarization
- Library
- transformers
- Recent downloads (30 days)
- 709
- Cumulative likes
- 67
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 161,894,745
- Architecture
- LEDForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-03-02T23:29:05.000Z
- Last modified
- 2025-12-29T03:38:08.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:36.205Z. Daily imports are snapshots, not real-time monitoring.
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