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frankmorales2020/Mistral-7B-text-to-sql-flash-attention-2-FAISS-10epoch

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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Mistral-7B-text-to-sql-flash-attention-2-FAISS-10epoch

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the generator dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4891

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: 3
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 24
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constant
  • —lrschedulerwarmup_ratio: 0.03
  • —lrschedulerwarmup_steps: 15
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
2.16350.2005100.7133
0.65250.4010200.5602
0.53860.6015300.5175
0.50420.8020400.4926
0.4871.0025500.4839
0.40991.2030600.4804
0.40781.4035700.4748
0.41251.6040800.4692
0.4021.8045900.4645
0.3982.00501000.4635
0.30662.20551100.5003
0.30492.40601200.4879
0.3132.60651300.4891

Framework versions

  • —PEFT 0.11.1
  • —Transformers 4.42.3
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1