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lab1_random – AI Model by yiwenxxc | AlphaNeural AI

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yiwenxxc/
lab1_random

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text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-en-fr

endpoints_compatible

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lab1_random

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: 5.2566
Bleu: 6.5287

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 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 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0