buming/peft-starcoder-lora-a100

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peft-starcoder-lora-a100

This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset.

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: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 30
• —training_steps: 40

Training results

Framework versions

• —PEFT 0.13.2
• —Transformers 4.46.3
• —Pytorch 2.0.0+cu118
• —Datasets 3.1.0
• —Tokenizers 0.20.3