stog-t5-small

milyiyo/stog-t5-small

stog-t5-small is a machine learning model from milyiyo. 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: Apr 14, 2022
Updated: Apr 14, 2022
SHA: eb42b873

Datasets

web_nlg

Model card

From the Hugging Face model README

stog-t5-small

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

Loss: 0.1414

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: 0.001
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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.12	100	0.4625
No log	0.24	200	0.3056
No log	0.36	300	0.2393
No log	0.48	400	0.1999
No log	0.61	500	0.1740
No log	0.73	600	0.1562
No log	0.85	700	0.1467
No log	0.97	800	0.1418

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 14, 2022
Updated: Apr 14, 2022