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t5-small-finetuned-en-to-ro-dataset_20-input_64 – AI Model by aretw0 | AlphaNeural AI
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t5-small-finetuned-en-to-ro-dataset_20-input_64
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
wmt16
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-en-to-ro-dataset_20-input_64
This model is a fine-tuned version of
t5-small
on the wmt16 dataset. It achieves the following results on the evaluation set:
Loss: 1.4335
Bleu: 8.6652
Gen Len: 18.2596
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.6351
1.0
7629
1.4335
8.6652
18.2596
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
