mt5-small-finetuned-amazon-en-es

TharunyaSundar/mt5-small-finetuned-amazon-en-es

mt5-small-finetuned-amazon-en-es is a summarization model from TharunyaSundar. Use it when you need a shorter version of a longer text. 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

Task: Summarization
Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Dec 4, 2024
Updated: Dec 4, 2024
SHA: 58353d03

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Base models

google/mt5-small

Model card

From the Hugging Face model README

mt5-small-finetuned-amazon-en-es

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: 3.2668
Rouge1: 14.1234
Rouge2: 5.8438
Rougel: 13.7241
Rougelsum: 13.6458

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: 5.6e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
5.0289	1.0	605	3.4412	11.4133	3.91	11.157	11.1867
4.252	2.0	1210	3.2869	13.9412	6.0411	13.6726	13.5899
4.0688	3.0	1815	3.2668	14.1234	5.8438	13.7241	13.6458

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Task: Summarization
Library: transformers
Type: mt5
License: apache-2.0
Created: Dec 4, 2024
Updated: Dec 4, 2024