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RichardErkhov/mlfoundations-dev_-_stackoverflow_5000tasks_.75p-gguf

sourceHugging Faceupdated 1y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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stackoverflow5000tasks.75p - GGUF

  • Model creator: https://huggingface.co/mlfoundations-dev/
  • Original model: https://huggingface.co/mlfoundations-dev/stackoverflow5000tasks.75p/

Original model description: --- libraryname: transformers license: llama3.1 basemodel: meta-llama/Meta-Llama-3.1-8B tags:

  • llama-factory
  • full
  • generatedfromtrainer model-index:
  • name: stackoverflow5000tasks.75p 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. -->

stackoverflow5000tasks.75p

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/stackoverflow5000tasks.75p dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7304

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-06
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradientaccumulationsteps: 8
  • totaltrainbatch_size: 512
  • totalevalbatch_size: 64
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: constant
  • num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
0.7840.9891340.7714
0.70991.9855680.7392
0.64382.98181020.7304

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.3.0
  • Datasets 3.1.0
  • Tokenizers 0.20.3