mt5-small-finetuned-gec

smartik/mt5-small-finetuned-gec

mt5-small-finetuned-gec is a machine learning model from smartik. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

395

Public

Repo size

48.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.2 GB · 98%

At a glance

Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Feb 11, 2023
Updated: Mar 6, 2023
SHA: ca79713d

Model card

From the Hugging Face model README

mt5-small-finetuned-gec

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

Loss: 0.6969
Rouge1: 15.8653
Rouge2: 4.1341
Rougel: 15.8248
Rougelsum: 15.8305
Gen Len: 15.5983

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: 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.2261	1.0	4092	0.6969	15.8653	4.1341	15.8248	15.8305	15.5983

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Library: transformers
Type: mt5
License: apache-2.0
Created: Feb 11, 2023
Updated: Mar 6, 2023