mt5-base-finetuned-xsum-mlsum___topic_text_google_mt5_base

nestoralvaro/mt5-base-finetuned-xsum-mlsum___topic_text_google_mt5_base

mt5-base-finetuned-xsum-mlsum___topic_text_google_mt5_base is a machine learning model from nestoralvaro. 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: Jun 7, 2022
Updated: Jun 7, 2022
SHA: d718b324

Datasets

mlsum

Model card

From the Hugging Face model README

mt5-base-finetuned-xsum-mlsum___topic_text_google_mt5_base

This model is a fine-tuned version of google/mt5-base on the mlsum dataset. It achieves the following results on the evaluation set:

Loss: nan
Rouge1: 0.1582
Rouge2: 0.0133
Rougel: 0.1585
Rougelsum: 0.1586
Gen Len: 10.2326

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: 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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	66592	nan	0.1582	0.0133	0.1585	0.1586	10.2326

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Library: transformers
Type: mt5
License: apache-2.0
Created: Jun 7, 2022
Updated: Jun 7, 2022