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jdeklerk10/OpenCodeInterpreter-DS-6.7B-SQL2

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

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OpenCodeInterpreter-DS-6.7B-SQL2

This model is a fine-tuned version of m-a-p/OpenCodeInterpreter-DS-6.7B on a downsampled (20,000 samples) b-mc2/sql-create-context dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3180

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 30
  • —training_steps: 1600

Training results

Training LossEpochStepValidation Loss
0.36431.442000.3582
0.3372.884000.3357
0.31974.326000.3271
0.31265.768000.3222
0.30347.1910000.3198
0.29988.6312000.3185
0.29710.0714000.3180
0.296411.5116000.3180

Framework versions

  • —PEFT 0.10.0
  • —Transformers 4.40.0.dev0
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2