bart-cnn-samsum-peft

rebirthmonkey/bart-cnn-samsum-peft

bart-cnn-samsum-peft is a machine learning model from rebirthmonkey. 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 mit.

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

Downloads · 30 days

10% of all-time downloads

All-time downloads

Public

Repo size

18.9 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors18.9 MB · 100%

At a glance

Library: peft
License: mit
Access: Public
Created: Sep 25, 2025
Updated: Sep 25, 2025
SHA: 45cf092a

Base models

rebirthmonkey/bart-cnn-samsum-finetuned

Model card

From the Hugging Face model README

bart-cnn-samsum-peft

This model is a fine-tuned version of rebirthmonkey/bart-cnn-samsum-finetuned on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1352

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.0899	1.0	37	0.1358
0.1063	2.0	74	0.1356
0.1088	3.0	111	0.1354
0.0838	4.0	148	0.1353
0.0971	5.0	185	0.1352

Framework versions

PEFT 0.17.0
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.21.4

Library: peft
License: mit
Created: Sep 25, 2025
Updated: Sep 25, 2025