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t5-small-finetuned-fi-to-en – AI Model by danielbispov | AlphaNeural AI
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t5-small-finetuned-fi-to-en
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
wmt19
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-fi-to-en
This model is a fine-tuned version of
t5-small
on the wmt19 dataset. It achieves the following results on the evaluation set:
Loss: 3.5235
Bleu: 1.129
Gen Len: 17.088
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
3.414
1.0
6250
3.5235
1.129
17.088
Framework versions
Transformers 4.12.5
Pytorch 1.9.1
Datasets 1.16.1
Tokenizers 0.10.3
