results

IGragon/results

results is a machine learning model from IGragon. 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: Nov 1, 2023
Updated: Nov 1, 2023
SHA: 9582ed1b

Base models

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: 1.5871
Rouge1: 0.6108
Rouge2: 0.3983
Rougel: 0.6004
Rougelsum: 0.6006

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: 4
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	Rouge1	Rouge2	Rougel	Rougelsum
1.927	1.0	1000	1.7088	0.5878	0.3745	0.5777	0.5777
1.8262	2.0	2000	1.6397	0.5989	0.3873	0.5883	0.5883
1.7704	3.0	3000	1.6088	0.6069	0.3950	0.5965	0.5967
1.7388	4.0	4000	1.5920	0.6090	0.3965	0.5984	0.5987
1.7347	5.0	5000	1.5871	0.6108	0.3983	0.6004	0.6006

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 1, 2023
Updated: Nov 1, 2023