mycustom_summarization_model

Asilkan/mycustom_summarization_model

mycustom_summarization_model is a machine learning model from Asilkan. 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 12, 2023
Updated: Aug 12, 2023
SHA: ffff613a

Base models

Datasets

billsum

Model card

From the Hugging Face model README

mycustom_summarization_model

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

Loss: 2.5992
Rouge1: 0.1386
Rouge2: 0.0475
Rougel: 0.1129
Rougelsum: 0.1129
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	2.8842	0.1287	0.0356	0.1075	0.1078	19.0
No log	2.0	124	2.6762	0.1303	0.0427	0.1086	0.1086	19.0
No log	3.0	186	2.6165	0.1352	0.046	0.1112	0.111	19.0
No log	4.0	248	2.5992	0.1386	0.0475	0.1129	0.1129	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 12, 2023
Updated: Aug 12, 2023