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lab1_finetuning – AI Model by Waquas | AlphaNeural AI

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Waquas/
lab1_finetuning

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text2text-generation

waquas/lab1_finetuning

generated_from_trainer

Helsinki-NLP/opus-mt-en-fr

endpoints_compatible

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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: 0.9966
Bleu: 49.7516

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: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1