ysr/hyperparam-rust-sft-lora

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hyperparam-rust-sft-lora

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4247

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: 0.0003
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —lrschedulerwarmup_steps: 20
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.39.3
• —Pytorch 2.2.1
• —Datasets 2.18.0
• —Tokenizers 0.15.2