mistral_7b_openorca_small_qlora_finetuned

adiyghub/mistral_7b_openorca_small_qlora_finetuned

mistral_7b_openorca_small_qlora_finetuned is a machine learning model from adiyghub. 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 apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

15% of all-time downloads

All-time downloads

Public

Repo size

168 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors168 MB · 99%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Mar 30, 2024
Updated: Apr 4, 2024
SHA: 93b9ca1a

Base models

mistralai/Mistral-7B-v0.1

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on 800 examples from OpenOrca. It achieves the following results on the evaluation set:

Loss: 1.3820

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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.6764	0.25	50	1.5037
1.3936	0.5	100	1.4108
1.4016	0.75	150	1.3547
1.3152	1.0	200	1.3373
1.0919	1.25	250	1.3368
1.1336	1.5	300	1.3290
1.0541	1.75	350	1.3222
1.0844	2.0	400	1.3174
0.8657	2.25	450	1.3790
0.8606	2.5	500	1.3779
0.8483	2.75	550	1.3824
0.8258	3.0	600	1.3820

Framework versions

PEFT 0.10.0
Transformers 4.39.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Mar 30, 2024
Updated: Apr 4, 2024