summary_model

lucas-wa/summary_model

summary_model is a machine learning model from lucas-wa. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 9, 2024
Updated: Mar 9, 2024
SHA: 9f4fc52d

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

summary_model

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

Loss: 2.3990
Rouge1: 0.1934
Rouge2: 0.0912
Rougel: 0.1649
Rougelsum: 0.1651
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	2.4670	0.1637	0.0692	0.1387	0.1387	19.0
No log	2.0	124	2.4233	0.1902	0.0897	0.1629	0.163	19.0
No log	3.0	186	2.4056	0.1926	0.0904	0.1642	0.1643	19.0
No log	4.0	248	2.3990	0.1934	0.0912	0.1649	0.1651	19.0

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 9, 2024
Updated: Mar 9, 2024