t5-trans-small-de-en – AI Model by Kanstantsin | AlphaNeural AI

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Kanstantsin/
t5-trans-small-de-en

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-trans-small-de-en

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4924
Bleu: 14.4652
Gen Len: 18.0097

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: 64
eval_batch_size: 64
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.7332	1.0	29529	1.6164	13.2816	18.014
1.639	2.0	59058	1.5468	13.9483	18.0099
1.6027	3.0	88587	1.5133	14.2666	18.0117
1.5727	4.0	118116	1.4976	14.4222	18.0111
1.5718	5.0	147645	1.4924	14.4652	18.0097

Framework versions

Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.0