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mt5-small-finetuned-4epochs-opus_books-en-to-it – AI Model by mriggs | AlphaNeural AI
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mriggs
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mt5-small-finetuned-4epochs-opus_books-en-to-it
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
opus_books
apache-2.0
endpoints_compatible
us
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mt5-small-finetuned-4epochs-opus_books-en-to-it
This model is a fine-tuned version of
google/mt5-small
on the opus_books dataset. It achieves the following results on the evaluation set:
Loss: 2.7675
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
3.5854
1.0
3638
2.8808
3.4992
2.0
7276
2.8156
3.4374
3.0
10914
2.7796
3.3984
4.0
14552
2.7675
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.0
Tokenizers 0.13.1
