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jhkim64/
Llama-3.2-3B-Instruct-lora-finetuned-cont

Name: Llama-3.2-3B-Instruct-lora-finetuned-cont
Availability: InStock

generated_from_trainer

meta-llama/Llama-3.2-3B-Instruct

adapter

llama3.2

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Llama-3.2-3B-Instruct-lora-finetuned-cont

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5549

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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.6696	1.0	153	1.5596
1.5785	2.0	306	1.5587
1.5957	3.0	459	1.5611
1.5554	4.0	612	1.5547
1.4994	5.0	765	1.5582
1.5407	6.0	918	1.5584
1.5402	7.0	1071	1.5593
1.5882	8.0	1224	1.5551
1.6641	9.0	1377	1.5544
1.6501	10.0	1530	1.5549

Framework versions

PEFT 0.10.0
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 2.19.0
Tokenizers 0.21.0

jhkim64/Llama-3.2-3B-Instruct-lora-finetuned-cont

Llama-3.2-3B-Instruct-lora-finetuned-cont

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jhkim64/
Llama-3.2-3B-Instruct-lora-finetuned-cont