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mistral_instruct_generation_st_geometry

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
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 0.03
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss
0.2741 4.0 20 0.1555
0.0834 8.0 40 0.1331
0.0236 12.0 60 0.1771
0.0098 16.0 80 0.2101
0.0063 20.0 100 0.2155

Framework versions

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