Bloom-560m-Summarization-QLoRa

pkbiswas/Bloom-560m-Summarization-QLoRa

Bloom-560m-Summarization-QLoRa is a summarization model from pkbiswas. Use it when you need a shorter version of a longer text. It is set up for peft. The card lists the license as bigscience-bloom-rail-1.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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.json14.5 MB · 53%

At a glance

Task: Summarization
Library: peft
License: bigscience-bloom-rail-1.0
Access: Public
Created: Jun 29, 2024
Updated: Nov 17, 2024
SHA: e01603bd

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Base models

bigscience/bloom-560m

Datasets

scitldr

Model card

From the Hugging Face model README

Summarization-Bloom-560m

This model is a fine-tuned version of bigscience/bloom-560m on the scitldr dataset. It achieves the following results on the evaluation set:

Loss: 2.8578

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.8487	0.2510	500	2.9019
2.8069	0.5020	1000	2.8799
2.8195	0.7530	1500	2.8660
2.8024	1.0040	2000	2.8556
2.661	1.2550	2500	2.8637
2.6136	1.5060	3000	2.8608
2.5816	1.7570	3500	2.8578

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Summarization
Library: peft
License: bigscience-bloom-rail-1.0
Created: Jun 29, 2024
Updated: Nov 17, 2024