mt5-small-finetuned-xlsum-ru-en

doktan/mt5-small-finetuned-xlsum-ru-en

mt5-small-finetuned-xlsum-ru-en is a machine learning model from doktan. 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: mt5
Access: Public
Created: Mar 17, 2024
Updated: Mar 19, 2024
SHA: 0900c331

Base models

google/mt5-small

Model card

From the Hugging Face model README

mt5-small-finetuned-xlsum-ru-en

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2400
Rouge1: 18.7928
Rouge2: 5.4469
Rougel: 15.5062
Rougelsum: 15.5249

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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
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
2.8597	1.0	46096	2.3958	17.6496	4.6706	14.4867	14.4996
2.7599	2.0	92192	2.3019	18.4841	5.2303	15.2467	15.2666
2.6495	3.0	138288	2.2553	18.5736	5.3333	15.3459	15.3694
2.5965	4.0	184384	2.2400	18.7928	5.4469	15.5062	15.5249

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: mt5
License: apache-2.0
Created: Mar 17, 2024
Updated: Mar 19, 2024