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t5-translation-base-v7 – AI Model by JohnLei | AlphaNeural AI
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JohnLei
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t5-translation-base-v7
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-translation-base-v7
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: 0.7566
Bleu: 10.3783
Gen Len: 10.5374
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: 32
eval_batch_size: 32
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: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.8291
1.0
33789
0.7836
9.4438
10.3441
0.8059
2.0
67578
0.7664
10.1297
10.429
0.7978
3.0
101367
0.7589
10.357
10.563
0.7952
4.0
135156
0.7566
10.3783
10.5374
Framework versions
Transformers 4.51.2
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.21.1
