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vishaljangra29/mistral_instruct_generation_st_geometry

sourceHugging Faceupdated 2y agoView on Hugging Face
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mistralinstructgenerationstgeometry

This model is a fine-tuned version of sid321axn/Mistral-7B-text-to-sql-finetuned on the generator dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2155

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: 0.0002
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constant
  • —lrschedulerwarmup_steps: 0.03
  • —training_steps: 100

Training results

Training LossEpochStepValidation Loss
0.27414.0200.1555
0.08348.0400.1331
0.023612.0600.1771
0.009816.0800.2101
0.006320.01000.2155

Framework versions

  • —PEFT 0.11.1
  • —Transformers 4.41.0
  • —Pytorch 2.2.2+cu121
  • —Datasets 2.15.0
  • —Tokenizers 0.19.1