Llama-3.2-1B-Instruct

doganmustafa/Llama-3.2-1B-Instruct

Llama-3.2-1B-Instruct is a machine learning model from doganmustafa. 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 llama3.2.

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: llama3.2
Access: Public
Created: Oct 21, 2024
Updated: Oct 21, 2024
SHA: a328a923

Base models

meta-llama/Llama-3.2-1B-Instruct

Model card

From the Hugging Face model README

Llama-3.2-1B-Instruct

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2812

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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4538	0.1	100	0.4046
0.3315	0.2	200	0.3426
0.3151	0.3	300	0.3207
0.2916	0.4	400	0.3055
0.2663	0.5	500	0.2964
0.2718	0.6	600	0.2902
0.3185	0.7	700	0.2855
0.2546	0.8	800	0.2827
0.3406	0.9	900	0.2813
0.2892	1.0	1000	0.2812

Framework versions

PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: peft
License: llama3.2
Created: Oct 21, 2024
Updated: Oct 21, 2024