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opus-mt-es-en-GEC-spanish-LORA-cowsl2h – AI Model by Ro551 | AlphaNeural AI
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Ro551
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opus-mt-es-en-GEC-spanish-LORA-cowsl2h
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peft
safetensors
adapter
lora
transformers
Helsinki-NLP/opus-mt-es-en
apache-2.0
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opus-mt-es-en-GEC-spanish-LORA-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: 0.1340
Gleu: 0.4355
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: 0.0013223040248761528
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: 0.09857017609527079
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Gleu
0.4962
1.0
388
0.1879
0.3553
0.3441
2.0
776
0.1530
0.3935
0.2641
3.0
1164
0.1392
0.4264
0.2190
4.0
1552
0.1340
0.4355
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.7.0+cu126
Datasets 4.8.5
Tokenizers 0.22.2
