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QuantFactory/distilgpt2-finetuned-databricks-GGUF

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

license: apache-2.0 base_model: distilgpt2 tags:

  • —generatedfromtrainer model-index:
  • —name: distilgpt2-finetuned-databricks results: []

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QuantFactory/distilgpt2-finetuned-databricks-GGUF

This is quantized version of Vishaltiwari2019/distilgpt2-finetuned-databricks created using llama.cpp

Original Model Card

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distilgpt2-finetuned-databricks

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.2376

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: 2e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 0.6

Training results

Training LossEpochStepValidation Loss
3.44040.65433.2376

Framework versions

  • —Transformers 4.39.3
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2