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RichardErkhov/ananim30j_-_my_awesome_glue_clm-model-gguf

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

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myawesomeglue_clm-model - GGUF

  • —Model creator: https://huggingface.co/ananim30j/
  • —Original model: https://huggingface.co/ananim30j/myawesomeglue_clm-model/

Original model description: --- libraryname: transformers license: mit basemodel: gpt2 tags:

  • —generatedfromtrainer model-index:
  • —name: myawesomeglue_clm-model 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. -->

myawesomeglue_clm-model

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —eval_loss: 3.2640
  • —evalmodelpreparation_time: 0.0045
  • —eval_runtime: 5.8558
  • —evalsamplesper_second: 69.674
  • —evalstepsper_second: 8.709
  • —step: 0

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

Framework versions

  • —Transformers 4.48.0.dev0
  • —Pytorch 2.5.1+cu121
  • —Datasets 3.1.0
  • —Tokenizers 0.21.0