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Helsinki_mul-en_test – AI Model by Shularp | AlphaNeural AI
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Shularp
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Helsinki_mul-en_test
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transformers
pytorch
tensorboard
marian
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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TestHelsinkiJpEn
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-mul-en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0740
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.7084
1.0
2423
1.0513
0.8524
2.0
4846
1.0528
0.7534
3.0
7269
1.0740
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
