billsum_model_for_test

Naonori/billsum_model_for_test

billsum_model_for_test is a machine learning model from Naonori. 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: Jun 22, 2023
Updated: Jun 22, 2023
SHA: b8af54c0

Datasets

billsum

Model card

From the Hugging Face model README

billsum_model_for_test

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

Loss: 2.4420
Rouge1: 0.1461
Rouge2: 0.0524
Rougel: 0.121
Rougelsum: 0.121
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	2.7503	0.1244	0.035	0.105	0.1052	19.0
No log	2.0	124	2.5250	0.1361	0.0455	0.1141	0.1144	19.0
No log	3.0	186	2.4594	0.1459	0.0523	0.1202	0.1202	19.0
No log	4.0	248	2.4420	0.1461	0.0524	0.121	0.121	19.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 22, 2023
Updated: Jun 22, 2023