underline_to_emphasis_model

tvergho/underline_to_emphasis_model

underline_to_emphasis_model is a machine learning model from tvergho. 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: Jan 27, 2023
Updated: Jan 27, 2023
SHA: f92cf695

Model card

From the Hugging Face model README

underline_to_emphasis_model

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

Loss: nan
Rouge1: 0.1835
Rouge2: 0.0654
Rougel: 0.1525
Rougelsum: 0.1523
Gen Len: 18.4918

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: 0.0003
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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	35	nan	0.1835	0.0654	0.1525	0.1523	18.4918
No log	2.0	70	nan	0.1835	0.0654	0.1525	0.1523	18.4918
No log	3.0	105	nan	0.1835	0.0654	0.1525	0.1523	18.4918
No log	4.0	140	nan	0.1835	0.0654	0.1525	0.1523	18.4918

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 27, 2023
Updated: Jan 27, 2023