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mt5-small-finetuned-2epochs-kde4-en-to-it – AI Model by mriggs | AlphaNeural AI
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mriggs
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mt5-small-finetuned-2epochs-kde4-en-to-it
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
kde4
apache-2.0
endpoints_compatible
us
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mt5-small-finetuned-2epochs-kde4-en-to-it
This model is a fine-tuned version of
google/mt5-small
on the kde4 dataset. It achieves the following results on the evaluation set:
Loss: 1.5777
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.2688
1.0
24814
1.6485
2.0974
2.0
49628
1.5777
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
