my_awesome_billsum_model

afaranda/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from afaranda. 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

26% 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: Sep 28, 2023
Updated: Sep 28, 2023
SHA: b45faa34

Base models

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: 2.4899
Rouge1: 0.1398
Rouge2: 0.0512
Rougel: 0.117
Rougelsum: 0.117
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	2.7815	0.1245	0.0363	0.1044	0.1044	19.0
No log	2.0	124	2.5728	0.133	0.0452	0.1112	0.1114	19.0
No log	3.0	186	2.5064	0.1382	0.0514	0.1163	0.1164	19.0
No log	4.0	248	2.4899	0.1398	0.0512	0.117	0.117	19.0

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Sep 28, 2023
Updated: Sep 28, 2023