t5-small-lora-seq2seq

SailorDad/t5-small-lora-seq2seq

t5-small-lora-seq2seq is a machine learning model from SailorDad. 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: Mar 13, 2025
Updated: Mar 13, 2025
SHA: 4d1b9b74

Base models

Model card

From the Hugging Face model README

t5-small-lora-seq2seq

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0117
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 112.6

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: 0.001
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Gen Len
No log	1.0	60	0.3274	112.6
No log	2.0	120	0.0817	112.6
No log	3.0	180	0.0437	112.6
No log	4.0	240	0.0197	112.6
No log	5.0	300	0.0184	112.6
No log	6.0	360	0.0138	112.6
No log	7.0	420	0.0128	112.6
No log	8.0	480	0.0127	112.6
0.296	9.0	540	0.0117	112.6
0.296	10.0	600	0.0117	112.6

Framework versions

PEFT 0.14.0
Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.20.3

Library: peft
License: apache-2.0
Created: Mar 13, 2025
Updated: Mar 13, 2025