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mt-hr-sv-finetuned – AI Model by oskarandrsson | AlphaNeural AI

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oskarandrsson/
mt-hr-sv-finetuned

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mt-hr-sv-finetuned

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

eval_loss: 0.9565
eval_bleu: 49.8248
eval_runtime: 873.8605
eval_samples_per_second: 16.982
eval_steps_per_second: 4.246
epoch: 5.0
step: 27825

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-06
train_batch_size: 24
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.6.1
Tokenizers 0.13.1