RichardErkhov/IeBoytsov_-_llama3-1-ox-llms-8b-sft-only-germany-data-and-ultrafeedback-gguf

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llama3-1-ox-llms-8b-sft-only-germany-data-and-ultrafeedback - GGUF

• —Model creator: https://huggingface.co/IeBoytsov/
• —Original model: https://huggingface.co/IeBoytsov/llama3-1-ox-llms-8b-sft-only-germany-data-and-ultrafeedback/

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

• —alignment-handbook
• —trl
• —sft
• —generatedfromtrainer
• —trl
• —sft
• —generatedfromtrainer datasets:
• —oxford-llms/europeansocialsurvey2023germany_sft
• —oxford-llms/ultrachat_filtered model-index:
• —name: llama3-1-ox-llms-8b-sft-only-germany-data-and-ultrafeedback results: [] ---

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llama3-1-ox-llms-8b-sft-only-germany-data-and-ultrafeedback

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the oxford-llms/europeansocialsurvey2023germanysft and the oxford-llms/ultrachatfiltered datasets. It achieves the following results on the evaluation set:

• —Loss: 1.0782

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
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.45.1
• —Pytorch 2.5.1+cu124
• —Datasets 3.1.0
• —Tokenizers 0.20.3