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Helsinki-train-combined-dedup-cleaned-04072025 – AI Model by pikiton | AlphaNeural AI

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Helsinki-train-combined-dedup-cleaned-04072025

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Helsinki-NLP/opus-mt-en-ru

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Helsinki-train-combined-dedup-cleaned-04072025

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ru on the None dataset.

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: 24
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 48
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 1

Training results

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1