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

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oskarandrsson/
mt-bs-sv-finetuned

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text2text-generation

endpoints_compatible

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mt-bs-sv-finetuned

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

eval_loss: 0.8217
eval_bleu: 53.9611
eval_runtime: 601.8995
eval_samples_per_second: 15.971
eval_steps_per_second: 3.994
epoch: 4.0
step: 14420

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