swathijn/GemmaDoll-2b-dolly-LORA-Tune

<!-- 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. -->

GemmaDoll-2b-dolly-LORA-Tune

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

• —Loss: 2.1517

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: 1e-05
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.05
• —training_steps: 593

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.39.3
• —Pytorch 2.0.1a0+cxx11.abi
• —Datasets 2.18.0
• —Tokenizers 0.15.2