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opus-mt-ft – AI Model by abdiharyadi | AlphaNeural AI

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abdiharyadi/
opus-mt-ft

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text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-en-id

endpoints_compatible

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opus-mt-ft

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-id on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3055
eval_exact_match: 1.0
eval_runtime: 9.9977
eval_samples_per_second: 4.001
eval_steps_per_second: 0.5
epoch: 5.0
step: 25

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: 5e-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: 10

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1