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RichardErkhov/abemorcal_-_ft_clm_eli5-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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ftclmeli5 - GGUF

  • —Model creator: https://huggingface.co/abemorcal/
  • —Original model: https://huggingface.co/abemorcal/ftclmeli5/

Original model description: --- libraryname: transformers license: apache-2.0 basemodel: distilbert/distilgpt2 tags:

  • —generatedfromtrainer datasets:
  • —eli5_category model-index:
  • —name: ftclmeli5 results: [] ---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

ftclmeli5

This model is a fine-tuned version of distilbert/distilgpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.8191

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: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
3.95021.012963.8309
3.85822.025923.8198
3.82063.038883.8191

Framework versions

  • —Transformers 4.47.1
  • —Pytorch 2.5.1+cu121
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0