Llama-3.2-1B-Instruct_v2

doganmustafa/Llama-3.2-1B-Instruct_v2

Llama-3.2-1B-Instruct_v2 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: 220f4efc

Base models

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

Model card

From the Hugging Face model README

Llama-3.2-1B-Instruct_v2

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: 0.2356

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: 3000

Training results

Training Loss	Epoch	Step	Validation Loss
0.4565	0.0333	100	0.4058
0.3313	0.0667	200	0.3428
0.3139	0.1	300	0.3192
0.2903	0.1333	400	0.3034
0.2639	0.1667	500	0.2944
0.2688	0.2	600	0.2869
0.3097	0.2333	700	0.2791
0.2462	0.2667	800	0.2735
0.3257	0.3	900	0.2684
0.2738	0.3333	1000	0.2638
0.2572	0.3667	1100	0.2598
0.234	0.4	1200	0.2566
0.2233	0.4333	1300	0.2537
0.2996	0.4667	1400	0.2515
0.2178	0.5	1500	0.2490
0.2251	0.5333	1600	0.2470
0.262	0.5667	1700	0.2450
0.2683	0.6	1800	0.2430
0.1966	0.6333	1900	0.2416
0.2451	0.6667	2000	0.2403
0.2247	0.7	2100	0.2393
0.1865	0.7333	2200	0.2384
0.2837	0.7667	2300	0.2378
0.2312	0.8	2400	0.2371
0.239	0.8333	2500	0.2365
0.2064	0.8667	2600	0.2362
0.208	0.9	2700	0.2358
0.2588	0.9333	2800	0.2356
0.2029	0.9667	2900	0.2356
0.2404	1.0	3000	0.2356

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