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willystumblr/ehrsql-2024-sft-text2sql-Llama-2-7b-hf

sourceHugging Facellama2updated 2y agoView on Hugging Face
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Model Card

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ehrsql-2024-sft-text2sql-Llama-2-7b-hf

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: 0.0805

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: 0.001
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —num_epochs: 5

Training results

Training LossEpochStepValidation Loss
0.07651.08160.0907
0.06592.016320.0805
0.05523.024480.0779
0.04764.032640.0793
0.04575.040800.0805

Framework versions

  • —PEFT 0.9.0
  • —Transformers 4.38.2
  • —Pytorch 2.2.1
  • —Datasets 2.19.0
  • —Tokenizers 0.15.2