mt5-base-finetuned-summarization-V2

GiordanoB/mt5-base-finetuned-summarization-V2

mt5-base-finetuned-summarization-V2 is a machine learning model from GiordanoB. 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

1% of all-time downloads

All-time downloads

431

Public

Repo size

4.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin2.3 GB · 99%

At a glance

Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: May 31, 2022
Updated: May 31, 2022
SHA: ae682a4f

Model card

From the Hugging Face model README

mt5-base-finetuned-summarization-V2

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: 8.3409
Rouge1: 6.1259
Rouge2: 1.4637
Rougel: 5.3192
Rougelsum: 5.7739
Gen Len: 9.9286

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	15	10.0266	6.7528	2.8064	5.9938	6.4352	10.0
No log	2.0	30	8.4159	6.1259	1.4637	5.3192	5.7739	10.0714
No log	3.0	45	8.3409	6.1259	1.4637	5.3192	5.7739	9.9286

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Library: transformers
Type: mt5
License: apache-2.0
Created: May 31, 2022
Updated: May 31, 2022