idt5-base-qg_adapter

hawalurahman/idt5-base-qg_adapter

idt5-base-qg_adapter is a machine learning model from hawalurahman. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

Library: peft
License: apache-2.0
Access: Public
Created: Oct 29, 2024
Updated: Oct 29, 2024
SHA: a2a26b65

Base models

muchad/idt5-base

Model card

From the Hugging Face model README

idt5-base-qg_adapter

This model is a fine-tuned version of muchad/idt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6825
Rouge1: 0.4305
Rouge2: 0.2112
Rougel: 0.4035
Rougelsum: 0.4037
Bleu: 0.1491

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu
2.381	1.0	15289	1.8003	0.3963	0.1873	0.3693	0.3693	0.1330
2.2131	2.0	30578	1.7265	0.4244	0.2052	0.3962	0.3964	0.1456
2.1822	3.0	45867	1.7086	0.4279	0.2094	0.4004	0.4006	0.1483
2.1374	4.0	61156	1.6846	0.4283	0.2110	0.4018	0.4019	0.1494
2.1217	5.0	76445	1.6825	0.4305	0.2112	0.4035	0.4037	0.1491

Framework versions

PEFT 0.13.2
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Library: peft
License: apache-2.0
Created: Oct 29, 2024
Updated: Oct 29, 2024