CoolFace
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jdeklerk10/DS-6.7B-schema_1

sourceHugging Faceotherupdated 2y agoView on Hugging Face
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DS-6.7B-schema_1

This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1671

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: 5e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.01
  • —num_epochs: 1

Training results

Training LossEpochStepValidation Loss
0.0380.19500.2039
0.04690.381000.1783
0.05310.571500.1716
0.05160.762000.1672
0.11320.952500.1671

Framework versions

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