mt5-small-lower

atena77/mt5-small-lower

mt5-small-lower is a machine learning model from atena77. 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

8% of all-time downloads

All-time downloads

Public

Parameters

300M

6 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.2 GB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Jun 16, 2024
Updated: Jun 16, 2024
SHA: d34fca79

Base models

google/mt5-small

Model card

From the Hugging Face model README

mt5-small-lower

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

Loss: 2.2645
Rouge1: 21.3986
Rouge2: 0.0
Rougel: 21.4078
Rougelsum: 21.5242
Gen Len: 14.4947

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: 5e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rougel	Rougelsum	Gen Len
2.9469	1.0	6877	2.5088	21.3986	21.4078	21.5242	10.4989
2.6632	2.0	13754	2.3772	21.3986	21.4078	21.5242	14.1979
2.5438	3.0	20631	2.3055	21.3986	21.4078	21.5242	14.1095
2.5355	4.0	27508	2.2747	21.3986	21.4078	21.5242	14.3832
2.4597	5.0	34385	2.2645	21.3986	21.4078	21.5242	14.4947

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

Library: transformers
Type: mt5
License: apache-2.0
Created: Jun 16, 2024
Updated: Jun 16, 2024