krytonguard/ceescoder-v0.2

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ceescoder-v0.2

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: 0.0001
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 30
• —training_steps: 20000

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.3.0
• —Pytorch 2.10.0
• —Datasets 4.6.1
• —Tokenizers 0.22.2