indo-t5-base-v2

LazarusNLP/indo-t5-base-v2

indo-t5-base-v2 is a machine learning model from LazarusNLP. 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: Mar 28, 2023
Updated: Jan 31, 2025
SHA: da44a8b1

Model card

From the Hugging Face model README

indo-t5-base-v2

This model is a fine-tuned version of google/mt5-base on the lazarus-project/alkitab-sabda-mt dataset. It achieves the following results on the evaluation set:

Loss: 1.5099
Bleu: 15.1824
Gen Len: 56.1138

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: 0.0008
train_batch_size: 32
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 4096
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.3756	1.56	5000	1.5355	2.3992	18.9403
1.1295	3.11	10000	1.5099	2.543	18.9389

Framework versions

Transformers 4.27.1
Pytorch 2.0.0+cu117
Datasets 2.9.0
Tokenizers 0.13.2

Library: transformers
Type: mt5
License: apache-2.0
Created: Mar 28, 2023
Updated: Jan 31, 2025