RichardErkhov/klcsp_-_llama3.1-8b-gpt4o_100k_summarize-fft-gguf

Quantization made by Richard Erkhov.

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llama3.1-8b-gpt4o100ksummarize-fft - GGUF

• —Model creator: https://huggingface.co/klcsp/
• —Original model: https://huggingface.co/klcsp/llama3.1-8b-gpt4o100ksummarize-fft/

Original model description: --- libraryname: transformers license: llama3 basemodel: meta-llama/Meta-Llama-3-8B tags:

• —alignment-handbook
• —trl
• —sft
• —generatedfromtrainer
• —trl
• —sft
• —generatedfromtrainer datasets:
• —llama-duo/synthsummarizedataset_dedup model-index:
• —name: llama3.1-8b-gpt4o100ksummarize-fft results: [] ---

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llama3.1-8b-gpt4o100ksummarize-fft

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the llama-duo/synthsummarizedataset_dedup dataset. It achieves the following results on the evaluation set:

• —Loss: 3.8606

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: 0.0003
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.45.1
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.1
• —Tokenizers 0.20.0