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jojajovai-opus-mt-es-en-es-grn – AI Model by Maeli-k | AlphaNeural AI
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jojajovai-opus-mt-es-en-es-grn
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-es-en
finetune
apache-2.0
endpoints_compatible
us
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jojajovai-opus-mt-es-en-es-grn
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-es-en
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 2.2837
eval_bleu: 19.3658
eval_chrf: 41.6861
eval_combined: 30.5259
eval_gen_len: 54.2754
eval_runtime: 1021.3785
eval_samples_per_second: 5.222
eval_steps_per_second: 0.653
epoch: 0.2059
step: 65
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
mixed_precision_training: Native AMP
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
