my_awesome_billsum_model

RodMed0709/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from RodMed0709. 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. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 7, 2024
Updated: Mar 7, 2024
SHA: 7bd6e794

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: 2.5440
Rouge1: 0.1415
Rouge2: 0.0479
Rougel: 0.1163
Rougelsum: 0.1166
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	2.8342	0.1253	0.0329	0.1044	0.1045	19.0
No log	2.0	124	2.6247	0.1354	0.0424	0.1117	0.1119	19.0
No log	3.0	186	2.5622	0.1414	0.0497	0.1169	0.1172	19.0
No log	4.0	248	2.5440	0.1415	0.0479	0.1163	0.1166	19.0

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 7, 2024
Updated: Mar 7, 2024