RichardErkhov/sahandrez_-_sft-gemma-2-2b-ultrafeedback-gguf

Quantization made by Richard Erkhov.

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sft-gemma-2-2b-ultrafeedback - GGUF

• —Model creator: https://huggingface.co/sahandrez/
• —Original model: https://huggingface.co/sahandrez/sft-gemma-2-2b-ultrafeedback/

Original model description: --- libraryname: transformers license: gemma basemodel: google/gemma-2-2b tags:

• —trl
• —sft
• —generatedfromtrainer model-index:
• —name: sft-gemma-2-2b-ultrafeedback-binarized-20240920-114857 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. -->

sft-gemma-2-2b-ultrafeedback-binarized-20240920-114857

This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2499

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: 1.41e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 128
• —totaltrainbatch_size: 1024
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.0+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1