RM-harmless_harmless_human_loraR64_20000_gemma2b_lr5e-05_bs2_g4

Holarissun/RM-harmless_harmless_human_loraR64_20000_gemma2b_lr5e-05_bs2_g4

RM-harmless_harmless_human_loraR64_20000_gemma2b_lr5e-05_bs2_g4 is a machine learning model from Holarissun. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: gemma
Access: Public
Created: May 3, 2024
Updated: May 3, 2024
SHA: 001b5877

Base models

google/gemma-2b

Model card

From the Hugging Face model README

RM-harmless_harmless_human_loraR64_20000_gemma2b_lr5e-05_bs2_g4

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

Loss: 0.5488
Accuracy: 0.7229

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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5782	1.0	2249	0.5486	0.7224
0.5313	2.0	4498	0.5488	0.7229

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: gemma
Created: May 3, 2024
Updated: May 3, 2024