LORA_trained_on_MMLU_5shot_test

justshao/LORA_trained_on_MMLU_5shot_test

LORA_trained_on_MMLU_5shot_test is a machine learning model from justshao. 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 llama2.

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: llama2
Access: Public
Created: Apr 22, 2024
Updated: Apr 23, 2024
SHA: 6e7cfa71

Base models

justshao/llama2-test

Model card

From the Hugging Face model README

LORA_trained_on_MMLU_5shot_test

This model is a fine-tuned version of justshao/llama2-test on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5586

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: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.5992	1.0	877	0.5707
0.5572	2.0	1755	0.5622
0.541	3.0	2632	0.5613
0.5304	4.0	3510	0.5583
0.5259	5.0	4385	0.5586

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: llama2
Created: Apr 22, 2024
Updated: Apr 23, 2024