test-textsum-t5-1

mrizalf7/test-textsum-t5-1

test-textsum-t5-1 is a machine learning model from mrizalf7. 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 23, 2023
Updated: Jun 23, 2023
SHA: 1d7d6127

Datasets

billsum

Model card

From the Hugging Face model README

test-textsum-t5-1

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

Loss: 2.4114
Rouge1: 0.1898
Rouge2: 0.0921
Rougel: 0.1611
Rougelsum: 0.161
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.4779	0.154	0.0601	0.1283	0.1281	19.0
No log	2.0	124	2.4391	0.1823	0.0871	0.1543	0.1542	19.0
No log	3.0	186	2.4182	0.1877	0.0902	0.1591	0.1591	19.0
No log	4.0	248	2.4114	0.1898	0.0921	0.1611	0.161	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 23, 2023
Updated: Jun 23, 2023