SashaSheykina/xLNet-finetuned-cXg-nl-to-code

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xLNet-finetuned-cXg-nl-to-code

This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 12.2852
• —Rouge1: 0.0799
• —Rouge2: 0.0062
• —Rougel: 0.0596
• —Bleu: 0.8853
• —Meteor: 0.1244
• —Codebleu: 0.2037

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.42.4
• —Pytorch 2.3.1+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1