id2en-translate

Hemg/id2en-translate

id2en-translate is a machine learning model from Hemg. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Feb 20, 2025
Updated: Feb 24, 2025
SHA: a4e84e3a

Base models

Model card

From the Hugging Face model README

id2en-translate

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7532
Bleu: 10.8003
Gen Len: 6.5079

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: 0.0003
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.9308	1.0	16865	1.7532	10.8003	6.5079

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu118
Datasets 3.3.1
Tokenizers 0.21.0

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 20, 2025
Updated: Feb 24, 2025