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Miguelcj1/
model_opus-mt-tc-big-en-pt-finetuned

Name: model_opus-mt-tc-big-en-pt-finetuned
Availability: InStock

generated_from_trainer

Helsinki-NLP/opus-mt-tc-big-en-pt

finetune

cc-by-4.0

endpoints_compatible

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model_opus-mt-tc-big-en-pt-finetuned

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-pt on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9480
Bleu: 47.1118

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: 3e-05
train_batch_size: 32
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
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.39.3
Pytorch 2.2.2
Datasets 2.19.0
Tokenizers 0.15.2

Miguelcj1/model_opus-mt-tc-big-en-pt-finetuned

model_opus-mt-tc-big-en-pt-finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Miguelcj1/
model_opus-mt-tc-big-en-pt-finetuned