mergeLlama-7b-Instruct-hf-quantized-peft

curtisxu/mergeLlama-7b-Instruct-hf-quantized-peft

mergeLlama-7b-Instruct-hf-quantized-peft is a machine learning model from curtisxu. 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 28, 2024
Updated: Apr 30, 2024
SHA: ba09a128

Base models

meta-llama/CodeLlama-7b-Instruct-hf

Model card

From the Hugging Face model README

mergeLlama-7b-Instruct-hf-quantized-peft

This model is a fine-tuned version of meta-llama/CodeLlama-7b-Instruct-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 6.2568

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: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
10.74	0.0122	20	7.4566
6.6528	0.0243	40	6.6315
6.4141	0.0365	60	6.4041
6.2451	0.0487	80	6.3026
6.1832	0.0608	100	6.2568

Framework versions

PEFT 0.10.1.dev0
Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: llama2
Created: Apr 28, 2024
Updated: Apr 30, 2024