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opus-mt-en-bi-finetune-2025-03-05 – AI Model by RickBrannan | AlphaNeural AI
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RickBrannan
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opus-mt-en-bi-finetune-2025-03-05
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-bi
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-en-bi-finetune-2025-03-05
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-bi
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.4678
Bleu: 22.5063
Gen Len: 1.0
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: 64
eval_batch_size: 64
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
120
2.7471
20.8547
1.0
2.9642
2.0
240
2.5879
21.7379
1.0
2.9642
3.0
360
2.5159
22.2783
1.0
2.5342
4.0
480
2.4777
22.7047
1.0
2.4214
5.0
600
2.4678
22.5063
1.0
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu118
Datasets 3.3.2
Tokenizers 0.21.0
