mt5-base-gecid23

jeremyvictor/mt5-base-gecid23

mt5-base-gecid23 is a machine learning model from jeremyvictor. 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: Apr 15, 2023
Updated: Apr 15, 2023
SHA: 5970870b

Model card

From the Hugging Face model README

mt5-base-gecid23

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

Loss: 0.3423
Rouge1: 62.9275
Rouge2: 55.4729
Rougel: 62.8494
Rougelsum: 62.8231
Gen Len: 18.7516

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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adafactor
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.7349	0.25	221	0.5029	60.0872	50.8003	59.9688	59.9497	18.7546
0.602	0.5	442	0.4185	61.5359	53.0163	61.4213	61.3965	18.7503
0.5027	0.75	663	0.3669	62.5794	54.8058	62.4677	62.4481	18.7516
0.4217	1.0	884	0.3423	62.9275	55.4729	62.8494	62.8231	18.7516

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Library: transformers
Type: mt5
License: apache-2.0
Created: Apr 15, 2023
Updated: Apr 15, 2023