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linguo_mt_en_ha – AI Model by pt4c | AlphaNeural AI
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pt4c
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linguo_mt_en_ha
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transformers
safetensors
marian
text2text-generation
translation
generated_from_trainer
Helsinki-NLP/opus-mt-en-ROMANCE
finetune
apache-2.0
endpoints_compatible
us
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linguo_mt_en_ha
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-ROMANCE
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7056
Bleu: 19.8579
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: 16
eval_batch_size: 16
seed: 42
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
1.0203
1.0
625
0.9213
7.0770
0.7019
2.0
1250
0.7489
13.4151
0.6671
3.0
1875
0.7056
19.8579
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
