translation_model

rlimonta/translation_model

translation_model is a machine learning model from rlimonta. 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: Jan 19, 2026
Updated: Jan 19, 2026
SHA: 800496ec

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

translation_model

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

Loss: 1.6012
Bleu: 6.3252
Gen Len: 18.3517

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.8685	1.0	6355	1.6239	6.128	18.3648
1.8289	2.0	12710	1.6012	6.3252	18.3517

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

Library: transformers
Type: t5
License: apache-2.0
Created: Jan 19, 2026
Updated: Jan 19, 2026