gemma-7b_oasst1_l0.0002_64

alexander-hm/gemma-7b_oasst1_l0.0002_64

gemma-7b_oasst1_l0.0002_64 is a machine learning model from alexander-hm. 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: Sep 19, 2024
Updated: Sep 20, 2024
SHA: 7e3aeb34

Base models

google/gemma-7b

Model card

From the Hugging Face model README

gemma-7b_oasst1_l0.0002_64

This model is a fine-tuned version of google/gemma-7b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0293

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: 0.0002
train_batch_size: 1
eval_batch_size: 1
seed: 0
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 1875

Training results

Training Loss	Epoch	Step	Validation Loss
1.7307	0.0018	1	1.8760
1.8457	0.3392	187	1.5215
1.2456	0.6783	374	1.5131
1.3937	1.0175	561	1.5311
1.2993	1.3566	748	1.5817
1.1583	1.6958	935	1.5815
0.5816	2.0349	1122	1.7267
0.8159	2.3741	1309	1.6635
0.8828	2.7132	1496	1.8450
0.5188	3.0524	1683	1.9632
0.4029	3.3915	1870	1.9291

Framework versions

PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: gemma
Created: Sep 19, 2024
Updated: Sep 20, 2024