t5_small_billsum

chunwoolee0/t5_small_billsum

t5_small_billsum is a machine learning model from chunwoolee0. 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 10, 2023
Updated: Aug 10, 2023
SHA: c9bfb57c

Base models

Datasets

billsum

Model card

From the Hugging Face model README

t5_small_billsum

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

Loss: 2.3947
Rouge1: 0.1508
Rouge2: 0.0616
Rougel: 0.1266
Rougelsum: 0.1266
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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.5233	0.1285	0.0432	0.1093	0.109	19.0
No log	2.0	124	2.4402	0.1379	0.0519	0.1165	0.1161	19.0
No log	3.0	186	2.4054	0.1477	0.0592	0.1242	0.1242	19.0
No log	4.0	248	2.3947	0.1508	0.0616	0.1266	0.1266	19.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Aug 10, 2023
Updated: Aug 10, 2023