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opus-mt-en-tpi-finetune-2025-03-05 – AI Model by RickBrannan | AlphaNeural AI
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opus-mt-en-tpi-finetune-2025-03-05
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-tpi
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-en-tpi-finetune-2025-03-05
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-tpi
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1885
Bleu: 19.561
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
119
2.3945
18.5746
1.0
2.5195
2.0
238
2.2872
19.3318
1.0
2.5195
3.0
357
2.2288
20.3183
1.0
2.2568
4.0
476
2.1982
19.9631
1.0
2.2568
5.0
595
2.1885
19.561
1.0
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu118
Datasets 3.3.2
Tokenizers 0.21.0
