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translation-en-pt-t5-finetuned-Duolingo – AI Model by ykliu1892 | AlphaNeural AI
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translation-en-pt-t5-finetuned-Duolingo
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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translation-en-pt-t5-finetuned-Duolingo
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7362
Bleu: 39.4725
Gen Len: 9.002
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.5429
0.24
9000
0.7461
39.4744
9.0
0.5302
0.48
18000
0.7431
39.7559
8.97
0.5309
0.72
27000
0.7388
39.6751
8.998
0.5336
0.96
36000
0.7362
39.4725
9.002
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3