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traduccion-opus-en-es – AI Model by CarolGuga | AlphaNeural AI
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traduccion-opus-en-es
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transformers
safetensors
marian
text2text-generation
traduccion
generated_from_trainer
Helsinki-NLP/opus-mt-en-es
finetune
apache-2.0
endpoints_compatible
us
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traduccion-opus-en-es
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-es
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4102
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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.4323
1.0
2500
1.3320
0.9661
2.0
5000
1.3708
0.7395
3.0
7500
1.4102
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cpu
Datasets 4.4.2
Tokenizers 0.22.1
