dvitel/h0-1

h0-1

This model is a fine-tuned version of microsoft/CodeGPT-small-py on hearthstone dataset. GitHub repo. It achieves the following results on the evaluation set:

• —Loss: 0.3622
• —Exact Match: 0.1970
• —Bleu: 0.9193
• —Codebleu: 0.7686
• —Chrf: 93.5686

Model description

CodeGPT-small-py fine-tuned on HearthStone dataset for 200 epochs

Intended uses & limitations

HearthStone card code synthesis.

Training and evaluation data

See split of hearthstone dataset

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 17
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —num_epochs: 200
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.24.0
• —Pytorch 1.13.0
• —Datasets 2.6.1
• —Tokenizers 0.13.1