summarization_fine_tune_peft

tetsuowilliams/summarization_fine_tune_peft

summarization_fine_tune_peft is a machine learning model from tetsuowilliams. 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: Mar 26, 2024
Updated: Mar 26, 2024
SHA: 8ac52cf9

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

summarization_fine_tune_peft

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

Loss: 3.7075
Rouge1: 0.1357
Rouge2: 0.045
Rougel: 0.1149
Rougelsum: 0.1149
Gen Len: 19.0

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	4.7640	0.1417	0.0501	0.1206	0.1207	19.0
No log	2.0	124	4.1242	0.1408	0.0486	0.1194	0.1193	19.0
No log	3.0	186	3.8060	0.136	0.0462	0.1155	0.1155	19.0
No log	4.0	248	3.7075	0.1357	0.045	0.1149	0.1149	19.0

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Mar 26, 2024
Updated: Mar 26, 2024