results

glfarnold/results

results is a summarization model from glfarnold. Use it when you need a shorter version of a longer text. 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

Task: Summarization
Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Jul 2, 2024
Updated: Jul 2, 2024
SHA: 22e7c75b

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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: 1.7600
Rouge1: 0.1317
Rouge2: 0.1118
Rougel: 0.1232
Rougelsum: 0.1232

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	250	1.8935	0.04	0.0359	0.0375	0.0375
2.8412	2.0	500	1.7864	0.1089	0.0934	0.0954	0.0954
2.8412	3.0	750	1.7600	0.1317	0.1118	0.1232	0.1232

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Summarization
Library: transformers
Type: t5
License: apache-2.0
Created: Jul 2, 2024
Updated: Jul 2, 2024