Mistral-7B-Summarization-QLoRa

pkbiswas/Mistral-7B-Summarization-QLoRa

Mistral-7B-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 apache-2.0.

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

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At a glance

Task: Summarization
Library: peft
License: apache-2.0
Access: Public
Created: Nov 3, 2023
Updated: Nov 17, 2024
SHA: 10993ca7

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Base models

mistralai/Mistral-7B-Instruct-v0.2

Datasets

scitldr

Model card

From the Hugging Face model README

Mistral Summarization

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the scitldr dataset. It achieves the following results on the evaluation set:

Loss: 2.1059

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
lr_scheduler_warmup_steps: 2
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.0732	0.1	200	2.1863
2.1324	0.2	400	2.1925
2.103	0.3	600	2.1876
2.0766	0.4	800	2.1737
2.0825	0.5	1000	2.1555
2.0731	0.6	1200	2.1465
2.0819	0.7	1400	2.1355
1.9802	0.8	1600	2.1223
2.0466	0.9	1800	2.1059

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Summarization
Library: peft
License: apache-2.0
Created: Nov 3, 2023
Updated: Nov 17, 2024