kineticseas/llama7b-python-finetuned

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train-test

This model is a fine-tuned version of TinyPixel/Llama-2-7B-bf16-sharded on the generator 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: 0.0003
• —trainbatchsize: 6
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 24
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.8.2
• —Transformers 4.37.2
• —Pytorch 2.2.0+cu121
• —Datasets 2.17.0
• —Tokenizers 0.15.1