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translation_example – AI Model by krishnareddy | AlphaNeural AI
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krishnareddy
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translation_example
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transformers
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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translation_example
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6028
Bleu: 5.6496
Gen Len: 17.6072
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.8533
1.0
6355
1.6277
5.4887
17.6146
1.8293
2.0
12710
1.6028
5.6496
17.6072
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0
