idt5-base-ae_adapter

hawalurahman/idt5-base-ae_adapter

idt5-base-ae_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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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Oct 29, 2024
Updated: Oct 29, 2024
SHA: 83707b7d

Base models

muchad/idt5-base

Model card

From the Hugging Face model README

idt5-base-ae_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: 1.1132
Rouge1: 0.3358
Rouge2: 0.1831
Rougel: 0.3088
Rougelsum: 0.3109
Bleu: 0.1408

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
1.35	1.0	3390	1.2546	0.2972	0.1424	0.2697	0.2722	0.1256
1.1749	2.0	6780	1.1832	0.3197	0.1655	0.2940	0.2961	0.1313
1.1447	3.0	10170	1.1313	0.3279	0.1742	0.3024	0.3043	0.1372
1.1106	4.0	13560	1.1294	0.3308	0.1790	0.3045	0.3065	0.1386
1.0842	5.0	16950	1.1132	0.3358	0.1831	0.3088	0.3109	0.1408

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