my_awesome_billsum_model

MarPla/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from MarPla. 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

32% of all-time downloads

All-time downloads

Public

Parameters

60.5M

1.9 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors242 MB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: May 9, 2024
Updated: May 31, 2024
SHA: 4fcff2b6

Base models

Model card

From the Hugging Face model README

my_awesome_billsum_model

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

Loss: 5.7758
Rouge1: 0.0847
Rouge2: 0.026
Rougel: 0.069
Rougelsum: 0.0691
Gen Len: 18.9356

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
7.0515	1.0	775	5.9513	0.0782	0.0229	0.0637	0.0637	18.964
6.0983	2.0	1550	5.8347	0.083	0.0254	0.0678	0.0679	18.9427
6.0491	3.0	2325	5.7848	0.0853	0.0262	0.0697	0.0697	18.9273
5.9983	4.0	3100	5.7758	0.0847	0.026	0.069	0.0691	18.9356

Framework versions

Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.2.1
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 9, 2024
Updated: May 31, 2024