llama2-7b-qlora-finetuned_1

aithal/llama2-7b-qlora-finetuned_1

llama2-7b-qlora-finetuned_1 is a machine learning model from aithal. 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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At a glance

Library: peft
License: llama2
Access: Public
Created: Dec 17, 2024
Updated: Dec 29, 2024
SHA: ac5806dd

Base models

meta-llama/Llama-2-7b-hf

Model card

From the Hugging Face model README

llama2-7b-qlora-finetuned_1

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4910
Model Preparation Time: 0.0048

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: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
8.4619	0.1669	100	0.5918	0.0048
0.5531	0.3339	200	0.5314	0.0048
0.5311	0.5008	300	0.5164	0.0048
0.5179	0.6677	400	0.5114	0.0048
0.5168	0.8346	500	0.5072	0.0048
0.5124	1.0016	600	0.5034	0.0048
0.5053	1.1685	700	0.5003	0.0048
0.5047	1.3354	800	0.5001	0.0048
0.5008	1.5023	900	0.4967	0.0048
0.4985	1.6693	1000	0.4969	0.0048
0.4998	1.8362	1100	0.4941	0.0048
0.4987	2.0031	1200	0.4978	0.0048
0.4939	2.1701	1300	0.4933	0.0048
0.4907	2.3370	1400	0.4923	0.0048
0.4947	2.5039	1500	0.4910	0.0048
0.4896	2.6708	1600	0.4901	0.0048
0.4923	2.8378	1700	0.4896	0.0048

Framework versions

PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

Library: peft
License: llama2
Created: Dec 17, 2024
Updated: Dec 29, 2024