results

AyanSau/results

results is a machine learning model from AyanSau. 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: Jan 18, 2023
Updated: Jan 20, 2023
SHA: 49ec2bee

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2057
Rouge2 Precision: 0.3564
Rouge2 Recall: 0.2124
Rouge2 Fmeasure: 0.256

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: 5e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	240	0.3146	0.2121	0.1134	0.1424
No log	2.0	480	0.2444	0.2855	0.1519	0.19
0.6451	3.0	720	0.2195	0.3225	0.1821	0.223
0.6451	4.0	960	0.2078	0.355	0.2113	0.2548
0.2978	5.0	1200	0.2057	0.3564	0.2124	0.256

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.12.1+cpu
Datasets 2.4.0
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 18, 2023
Updated: Jan 20, 2023