my_awesome_billsum_model

RI05/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from RI05. 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: Aug 26, 2023
Updated: Aug 28, 2023
SHA: 98fd23a4

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: 0.3958
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Gen Len
No log	1.0	4	0.4651	19.0
No log	2.0	8	0.4529	19.0
No log	3.0	12	0.4443	19.0
No log	4.0	16	0.4345	19.0
No log	5.0	20	0.4242	19.0
No log	6.0	24	0.4148	19.0
No log	7.0	28	0.4070	19.0
No log	8.0	32	0.4012	19.0
No log	9.0	36	0.3973	19.0
No log	10.0	40	0.3958	19.0

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Aug 26, 2023
Updated: Aug 28, 2023