jjovalle99/llama7bit-lora-sql

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llama7bit-lora-sql

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3700

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: 8
• —evalbatchsize: 8
• —seed: 1399
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —training_steps: 500

Training results

Framework versions

• —PEFT 0.9.0
• —Transformers 4.38.2
• —Pytorch 2.1.0+cu118
• —Datasets 2.18.0
• —Tokenizers 0.15.2