RichardErkhov/kykim0_-_Llama-2-7b-ultrachat-syn-gguf

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Llama-2-7b-ultrachat-syn - GGUF

• —Model creator: https://huggingface.co/kykim0/
• —Original model: https://huggingface.co/kykim0/Llama-2-7b-ultrachat-syn/

Original model description: --- libraryname: transformers basemodel: kykim0/Llama-2-7b-ultrachat200k-2e tags:

• —alignment-handbook
• —trl
• —sft
• —generatedfromtrainer
• —trl
• —sft
• —generatedfromtrainer

datasets:

- HuggingFaceH4/ultrachat_200k

model-index:

• —name: Llama-2-7b-ultrachat-syn 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. -->

Llama-2-7b-ultrachat-syn

<!-- This model is a fine-tuned version of kykim0/Llama-2-7b-ultrachat200k-2e on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0863 -->

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: 1
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 16
• —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 4.44.2
• —Pytorch 2.1.2
• —Datasets 2.14.6
• —Tokenizers 0.19.1