test_t5_for_summarization

heskielsvn/test_t5_for_summarization

test_t5_for_summarization is a machine learning model from heskielsvn. 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: Jul 2, 2023
Updated: Jul 2, 2023
SHA: 4dd8f68b

Datasets

billsum

Model card

From the Hugging Face model README

test_t5_for_summarization

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

Loss: 2.5249
Rouge1: 0.1332
Rouge2: 0.0426
Rougel: 0.1106
Rougelsum: 0.1106
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	2.8192	0.1239	0.0326	0.1029	0.1031	19.0
No log	2.0	124	2.6080	0.1286	0.0385	0.1065	0.1064	19.0
No log	3.0	186	2.5422	0.1302	0.0403	0.1077	0.1077	19.0
No log	4.0	248	2.5249	0.1332	0.0426	0.1106	0.1106	19.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Jul 2, 2023
Updated: Jul 2, 2023