RM-harmless_harmless_human_loraR64_20000_gemma2b_lr1e-06_bs2_g4

Holarissun/RM-harmless_harmless_human_loraR64_20000_gemma2b_lr1e-06_bs2_g4

RM-harmless_harmless_human_loraR64_20000_gemma2b_lr1e-06_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. --

Downloads · 30 days

18% of all-time downloads

All-time downloads

Public

Repo size

47 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors29.5 MB · 63%

At a glance

Library: peft
License: gemma
Access: Public
Created: May 3, 2024
Updated: May 3, 2024
SHA: 11d4ccaa

Base models

google/gemma-2b

Model card

From the Hugging Face model README

RM-harmless_harmless_human_loraR64_20000_gemma2b_lr1e-06_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: 0.7860
Accuracy: 0.4847

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-06
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
0.7712	1.0	2249	0.8015	0.4672
0.7561	2.0	4498	0.7860	0.4847

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