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lab1_random_100stps – AI Model by oopwoof | AlphaNeural AI

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oopwoof/
lab1_random_100stps

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Helsinki-NLP/opus-mt-en-fr

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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: 9.5549
Model Preparation Time: 0.0015
Bleu: 0.0

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 100
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.44.0
Pytorch 2.2.2
Datasets 2.20.0
Tokenizers 0.19.1