You can deploy this model and start earning money today!

stlee9048/
fine_tune_output_llama_3.2_3B_Instruct

Name: fine_tune_output_llama_3.2_3B_Instruct
Availability: InStock

generated_from_trainer

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

adapter

llama3.2

Views

No views yet

fine_tune_output_llama_3.2_3B_Instruct

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: 0.8439

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
5.3098	0.0170	10	4.6081
3.4781	0.0340	20	3.3873
2.7865	0.0510	30	2.4973
1.3726	0.0679	40	1.5682
1.2072	0.0849	50	0.9569
1.258	0.1019	60	0.8688
1.3057	0.1189	70	0.8637
0.7572	0.1359	80	0.8554
1.212	0.1529	90	0.8531
0.5833	0.1699	100	0.8439

Framework versions

PEFT 0.10.0
Transformers 4.44.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1

stlee9048/fine_tune_output_llama_3.2_3B_Instruct

fine_tune_output_llama_3.2_3B_Instruct

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

stlee9048/
fine_tune_output_llama_3.2_3B_Instruct