t5-small-translation_v3 – AI Model by JohnLei | AlphaNeural AI

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JohnLei/
t5-small-translation_v3

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-translation_v3

This model is a fine-tuned version of google-t5/t5-small on the covost2 dataset. It achieves the following results on the evaluation set:

Loss: 4.0331
Bleu: 0.1366
Gen Len: 20.0

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: 1e-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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
4.539	1.0	746	4.1366	0.0502	20.0
4.3657	2.0	1492	4.0781	0.0826	19.9982
4.2651	3.0	2238	4.0510	0.0589	19.9998
4.2638	4.0	2984	4.0376	0.1365	20.0
4.227	5.0	3730	4.0331	0.1366	20.0

Framework versions

Transformers 4.51.2
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.21.1