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opus-mt-en-es-finetuned-en-to-es-TA – AI Model by edu-shok | AlphaNeural AI
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opus-mt-en-es-finetuned-en-to-es-TA
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-es
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-en-es-finetuned-en-to-es-TA
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-es
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1097
Bleu: 36.7132
Gen Len: 32.9874
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.2188
1.0
2989
1.1097
36.7132
32.9874
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1
