yesj1234/mbart_5p_ko-zh

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tst-translation-output

This model is a fine-tuned version of mbart-cc25 on an custom dataset. It achieves the following results on the evaluation set:

• —Loss: 3.2088
• —Bleu: 9.6216
• —Gen Len: 14.1419

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: 5e-05
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1500
• —num_epochs: 40

Training results

Framework versions

• —Transformers 4.34.0
• —Pytorch 2.0.1+cu117
• —Datasets 2.14.5
• —Tokenizers 0.14.0