RichardErkhov/autoprogrammer_-_CulturaX-zh-unsupervised-20241030-122021-gguf

Quantization made by Richard Erkhov.

Github

Discord

Request more models

CulturaX-zh-unsupervised-20241030-122021 - GGUF

• —Model creator: https://huggingface.co/autoprogrammer/
• —Original model: https://huggingface.co/autoprogrammer/CulturaX-zh-unsupervised-20241030-122021/

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

• —generatedfromtrainer model-index:
• —name: CulturaX-zh-unsupervised-20241030-122021 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. -->

CulturaX-zh-unsupervised-20241030-122021

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset.

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-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —training_steps: 3750

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.4.1
• —Datasets 3.0.1
• —Tokenizers 0.20.1