RAFIQ__V.2

TKhattab/RAFIQ__V.2

RAFIQ__V.2 is a machine learning model from TKhattab. 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 llama3.1.

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

Downloads · 30 days

34% of all-time downloads

All-time downloads

Public

Parameters

32.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors32.1 GB · 100%

At a glance

Library: peft
License: llama3.1
Model type: llama
Access: Public
Created: May 8, 2025
Updated: Jun 24, 2025
SHA: 893f6aef

Base models

meta-llama/Llama-3.1-8B-Instruct

Model card

From the Hugging Face model README

Rafiq

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the Rafiq_finetune_train dataset. It achieves the following results on the evaluation set:

Loss: 1.1838

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: 3
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 12
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.2835	0.4976	500	1.2259
1.2339	0.9953	1000	1.1799
1.0201	1.4927	1500	1.1704
1.0261	1.9903	2000	1.1362
0.7328	2.4877	2500	1.1809
0.7868	2.9853	3000	1.1837

Framework versions

PEFT 0.15.1
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.1

Library: peft
Type: llama
License: llama3.1
Created: May 8, 2025
Updated: Jun 24, 2025