my_awesome_billsum_model

NikiBase/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from NikiBase. 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 apache-2.0.

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

Downloads · 30 days

28% of all-time downloads

All-time downloads

Public

Repo size

484 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin242 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Dec 21, 2022
Updated: Dec 21, 2022
SHA: 3bdf65fc

Datasets

billsum

Model card

From the Hugging Face model README

my_awesome_billsum_model

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

Loss: 2.7576
Rouge1: 0.1327
Rouge2: 0.0444
Rougel: 0.1111
Rougelsum: 0.1111
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	3.0485	0.1269	0.0387	0.1064	0.1065	19.0
No log	2.0	124	2.8371	0.1322	0.0468	0.1114	0.1114	19.0
No log	3.0	186	2.7747	0.1335	0.0464	0.1124	0.1123	19.0
No log	4.0	248	2.7576	0.1327	0.0444	0.1111	0.1111	19.0

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Dec 21, 2022
Updated: Dec 21, 2022