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lab1_finetuning – AI Model by gillyg | AlphaNeural AI
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lab1_finetuning
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
kde4
Helsinki-NLP/opus-mt-en-fr
finetune
apache-2.0
model-index
endpoints_compatible
us
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lab1_finetuning
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-fr
on the kde4 dataset. It achieves the following results on the evaluation set:
Loss: 1.0256
Model Preparation Time: 0.0035
Bleu: 48.8744
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: 32
seed: 42
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
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
