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opus-mt-es-en-GEC-spanish-cowsl2h – AI Model by Ro551 | AlphaNeural AI
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Ro551
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opus-mt-es-en-GEC-spanish-cowsl2h
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-es-en
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-es-en-GEC-spanish-cowsl2h
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-es-en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1180
Gleu: 0.4730
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: 8.441362564622899e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.09363965565984424
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Gleu
0.3908
1.0
388
0.1504
0.3852
0.2316
2.0
776
0.1253
0.4443
0.1546
3.0
1164
0.1192
0.4662
0.1141
4.0
1552
0.1180
0.4730
Framework versions
Transformers 5.0.0
Pytorch 2.7.0+cu126
Datasets 4.8.5
Tokenizers 0.22.2
