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RichardErkhov/Heejindo_-_rationale_model_e3_save5000_f2-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

Quantization made by Richard Erkhov.

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rationalemodele3save5000f2 - GGUF

  • —Model creator: https://huggingface.co/Heejindo/
  • —Original model: https://huggingface.co/Heejindo/rationalemodele3save5000f2/

Original model description: --- libraryname: transformers license: llama3.2 basemodel: meta-llama/Llama-3.2-1B tags:

  • —trl
  • —sft
  • —generatedfromtrainer model-index:
  • —name: rationalemodele3save5000f2 results: [] ---

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rationalemodele3save5000f2

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.9490

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: 1e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation Loss
1.7550.190710001.9490
1.40870.381520002.0212
0.99510.572230002.2073
0.65460.762940002.4321
0.38250.953750002.7536
0.20151.144460002.9396
0.17411.335170003.0700
0.14631.525880003.1767
0.13051.716690003.3858
0.11781.9073100003.4989
0.09912.0980110003.5767
0.09612.2888120003.7036
0.0952.4795130003.8034
0.08942.6702140003.9220
0.08622.8610150003.9916

Framework versions

  • —Transformers 4.45.0
  • —Pytorch 2.3.0
  • —Datasets 2.14.4
  • —Tokenizers 0.20.3