Tohrumi
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opus-mt-en-vi

text2text-generation

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opus-mt-en-vi

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

Loss: 1.2733
Bleu: 37.1266

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: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.4817	1.0	8333	1.2790	36.7813
1.3955	2.0	16666	1.2750	36.9542
1.3368	3.0	24999	1.2733	37.1266

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1

Downloads last month: 3

Safetensors

Model size

71.7M params

Tensor type

F32

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