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results – AI Model by amyann | AlphaNeural AI
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-ha
finetune
apache-2.0
endpoints_compatible
us
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This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-ha
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.6147
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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.7474
1.0
905
2.9363
2.2482
2.0
1810
2.6665
2.0734
3.0
2715
2.6147
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.22.0