rut5-base-dsum

thefluxapp/rut5-base-dsum

rut5-base-dsum is a machine learning model from thefluxapp. 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 mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: mit
Model type: t5
Access: Public
Created: Nov 6, 2023
Updated: Nov 7, 2023
SHA: be3bd74b

Base models

cointegrated/rut5-base-absum

Model card

From the Hugging Face model README

flux-dsum

This model is a fine-tuned version of cointegrated/rut5-base-absum on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3535
Rouge1: 0.3631
Rouge2: 0.1695
Rougel: 0.325
Rougelsum: 0.3251
Gen Len: 18.2008

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.7402	1.0	21753	1.4456	0.3492	0.1601	0.3112	0.3114	18.0104
1.59	2.0	43506	1.3912	0.3569	0.1616	0.3186	0.3187	18.1955
1.5522	3.0	65259	1.3675	0.3607	0.1682	0.3231	0.3233	18.1123
1.5162	4.0	87012	1.3535	0.3631	0.1695	0.325	0.3251	18.2008

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1

Library: transformers
Type: t5
License: mit
Created: Nov 6, 2023
Updated: Nov 7, 2023