my_xsum_billsum_model

ND19/my_xsum_billsum_model

my_xsum_billsum_model is a machine learning model from ND19. 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. The card lists the license as mit.

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

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At a glance

Library: transformers
License: mit
Model type: bart
Access: Public
Created: Mar 30, 2023
Updated: Mar 30, 2023
SHA: b168fc42

Model card

From the Hugging Face model README

my_xsum_billsum_model

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

Loss: 2.9629
Rouge1: 0.247
Rouge2: 0.0733
Rougel: 0.1645
Rougelsum: 0.164
Gen Len: 67.05

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.2452	1.0	40	2.8062	0.243	0.0724	0.1745	0.1737	67.15
0.7262	2.0	80	2.9629	0.247	0.0733	0.1645	0.164	67.05

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2

Library: transformers
Type: bart
License: mit
Created: Mar 30, 2023
Updated: Mar 30, 2023