my_awesome_billsum_model

pandas2002/my_awesome_billsum_model

my_awesome_billsum_model is a machine learning model from pandas2002. 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 31, 2023
Updated: Apr 6, 2023
SHA: 727b1028

Datasets

pubmed-summarization

Model card

From the Hugging Face model README

my_awesome_billsum_model

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

Loss: 2.3423
Rouge1: 0.1393
Rouge2: 0.0556
Rougel: 0.1172
Rougelsum: 0.1172
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: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	375	2.3755	0.1375	0.0538	0.1159	0.1159	19.0
2.6739	2.0	750	2.3423	0.1393	0.0556	0.1172	0.1172	19.0

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 31, 2023
Updated: Apr 6, 2023