skulkarni19/shreks-finetuned-en-to-kan

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shreks-finetuned-en-to-kan

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9489
• —Model Preparation Time: 0.0041
• —Bleu: 4.5828
• —Rouge1: 0.0834
• —Rouge2: 0.0200
• —Rougel: 0.0826
• —Rougelsum: 0.0827

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
• —trainbatchsize: 32
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.46.2
• —Pytorch 2.5.1+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3