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MarianMT-finetuned-en-to-swc – AI Model by Kolade1 | AlphaNeural AI
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Kolade1
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MarianMT-finetuned-en-to-swc
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-swc-en
finetune
apache-2.0
endpoints_compatible
us
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MarianMT-finetuned-en-to-swc
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-swc-en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6919
Bleu: 11.0101
Gen Len: 45.744
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: 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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.8464
1.0
28871
1.6919
11.0101
45.744
Framework versions
Transformers 4.48.1
Pytorch 2.6.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0
