yesj1234/mbart_cycle0_ko-zh

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

mbartcycle0ko-zh

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

• —Loss: 6.3117
• —Bleu: 19.1703
• —Gen Len: 14.3881

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: 4
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 300
• —num_epochs: 50

Training results

Framework versions

• —Transformers 4.33.1
• —Pytorch 2.0.1+cu117
• —Datasets 2.14.5
• —Tokenizers 0.13.3