my_awesome_billsum_model

IB13/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from IB13. 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

22% of all-time downloads

All-time downloads

Public

Parameters

60.5M

969 MB 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: Jan 16, 2024
Updated: Jan 16, 2024
SHA: 8651912e

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: 2.3056
Rouge1: 0.1977
Rouge2: 0.0989
Rougel: 0.171
Rougelsum: 0.1712
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: 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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	495	2.4452	0.1804	0.0829	0.1538	0.1538	19.0
2.9368	2.0	990	2.3497	0.1982	0.0983	0.171	0.171	19.0
2.5685	3.0	1485	2.3170	0.1988	0.0998	0.1711	0.1715	19.0
2.4993	4.0	1980	2.3056	0.1977	0.0989	0.171	0.1712	19.0

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu117
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 16, 2024
Updated: Jan 16, 2024