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hensinki-es-en-finetuned-spanish-to-english-tateoba – AI Model by beanslmao | AlphaNeural AI
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hensinki-es-en-finetuned-spanish-to-english-tateoba
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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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hensinki-es-en-finetuned-spanish-to-english-tateoba
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:
Loss: 0.3370
Bleu: 70.0138
Gen Len: 9.0521
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.3851
1.0
7069
0.3448
68.9609
9.0392
0.3074
2.0
14138
0.3376
69.8139
9.0405
0.2582
3.0
21207
0.3370
70.0138
9.0521
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
