my_awesome_billsum_model

smitz94/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from smitz94. 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: Jul 19, 2023
Updated: Jul 19, 2023
SHA: 70eb30a4

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: 1.5768
Rouge1: 0.3454
Rouge2: 0.1108
Rougel: 0.2865
Rougelsum: 0.2866
Gen Len: 18.752

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
1.7371	1.0	779	1.6408	0.3309	0.0977	0.2751	0.2751	18.79
1.5146	2.0	1558	1.5945	0.3418	0.108	0.284	0.2842	18.766
1.4889	3.0	2337	1.5801	0.3452	0.1113	0.2863	0.2864	18.742
1.465	4.0	3116	1.5768	0.3454	0.1108	0.2865	0.2866	18.752

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jul 19, 2023
Updated: Jul 19, 2023