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TestHelsinkimulEnJpTh – AI Model by Shularp | AlphaNeural AI
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Shularp
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TestHelsinkimulEnJpTh
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transformers
pytorch
tensorboard
marian
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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TestHelsinkimulEnJpTh
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-mul
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6825
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.7413
1.0
4846
1.0482
0.8773
2.0
9692
0.8856
0.8138
3.0
14538
0.7699
0.531
4.0
19384
0.7021
0.2739
5.0
24230
0.6825
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
