mimicheng/codeparrot-ds

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codeparrot-ds

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 1.7397
• —eval_runtime: 603.8598
• —evalsamplesper_second: 154.281
• —evalstepsper_second: 4.822
• —epoch: 0.08
• —step: 5000

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: 0.0005
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.17.0
• —Pytorch 1.10.0+cu111
• —Datasets 2.0.0
• —Tokenizers 0.11.6