RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenTrue

Holarissun/RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenTrue

RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenTrue 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: Apr 22, 2024
Updated: Apr 22, 2024
SHA: 13574ffa

Base models

google/gemma-2b

Model card

From the Hugging Face model README

RM-HH-AllMix_harmless_gpt3_20000_gemma2b_shuffleFalse_extractchosenTrue

This model is a fine-tuned version of google/gemma-2b on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1748
Accuracy: 0.9237

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
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7416	0.04	250	0.5877	0.7074
0.7004	0.08	500	0.4614	0.7980
0.6298	0.13	750	0.3453	0.8477
0.5979	0.17	1000	0.2723	0.8774
0.5842	0.21	1250	0.2469	0.8868
0.6257	0.25	1500	0.2255	0.8973
0.5833	0.29	1750	0.2103	0.9071
0.6368	0.33	2000	0.2061	0.9082
0.5854	0.38	2250	0.2063	0.9105
0.5458	0.42	2500	0.1990	0.9127
0.6079	0.46	2750	0.1993	0.9135
0.5819	0.5	3000	0.1917	0.9165
0.5823	0.54	3250	0.1844	0.9180
0.618	0.59	3500	0.1869	0.9188
0.6075	0.63	3750	0.1885	0.9169
0.5685	0.67	4000	0.1848	0.9191
0.5718	0.71	4250	0.1848	0.9206
0.5697	0.75	4500	0.1819	0.9210
0.5719	0.79	4750	0.1769	0.9229
0.5774	0.84	5000	0.1779	0.9218
0.5331	0.88	5250	0.1745	0.9233
0.564	0.92	5500	0.1752	0.9237
0.567	0.96	5750	0.1748	0.9237

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: gemma
Created: Apr 22, 2024
Updated: Apr 22, 2024