my_awesome_billsum_model

PMarco/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from PMarco. 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 transformers.

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

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At a glance

Library: transformers
Model type: bart
Access: Public
Created: Feb 25, 2026
Updated: Feb 25, 2026
SHA: 23020d8d

Base models

ELiRF/NASES

Model card

From the Hugging Face model README

my_awesome_billsum_model

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

Loss: 2.6028
Rouge1: 0.3727
Rouge2: 0.1386
Rougel: 0.2161
Rougelsum: 0.2161
Gen Len: 138.6622

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: 1
eval_batch_size: 1
seed: 42
optimizer: Use 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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.6163	1.0	22247	2.6028	0.3727	0.1386	0.2161	0.2161	138.6622

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 4.5.0
Tokenizers 0.21.0

Library: transformers
Type: bart
Created: Feb 25, 2026
Updated: Feb 25, 2026