mt5-base-finetuned

GhifSmile/mt5-base-finetuned

mt5-base-finetuned is a machine learning model from GhifSmile. 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: Oct 10, 2022
Updated: Oct 10, 2022
SHA: ba948c15

Model card

From the Hugging Face model README

mt5-base-finetuned

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

Loss: 0.4443
Rouge1: 0.2523
Rouge2: 0.2151
Rougel: 0.2477
Rougelsum: 0.2501

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.8153	1.0	7131	0.4937	0.252	0.2141	0.247	0.2496
0.4935	2.0	14262	0.4474	0.253	0.2151	0.248	0.2505
0.4494	3.0	21393	0.4443	0.2523	0.2151	0.2477	0.2501

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1

Library: transformers
Type: mt5
License: apache-2.0
Created: Oct 10, 2022
Updated: Oct 10, 2022