gemma_2b_oasst1_reward_model

DarshanDeshpande/gemma_2b_oasst1_reward_model

gemma_2b_oasst1_reward_model is a machine learning model from DarshanDeshpande. 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 other.

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: other
Access: Public
Created: Mar 12, 2024
Updated: Mar 15, 2024
SHA: 738115b0

Base models

google/gemma-2b

Model card

From the Hugging Face model README

gemma_2b_oasst1_reward_model

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: 0.4345
Accuracy: 0.8051

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: 0.0005
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5106	1.0	100	0.5843	0.7203
0.4299	2.0	200	0.4418	0.7825
0.5035	2.99	300	0.4345	0.8051

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: other
Created: Mar 12, 2024
Updated: Mar 15, 2024