Llama3_8B_final_task2_2.0

rishavranaut/Llama3_8B_final_task2_2.0

Llama3_8B_final_task2_2.0 is a machine learning model from rishavranaut. 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.

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
Access: Public
Created: Oct 20, 2024
Updated: Oct 21, 2024
SHA: aa4d4997

Base models

meta-llama/Meta-Llama-3-8B

Model card

From the Hugging Face model README

Llama3_8B_final_Task2_2.0

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5334
Accuracy: 0.9129
Precision: 0.9050
Recall: 0.9231
F1 score: 0.9140

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1 score
0.6105	0.2725	200	0.3962	0.8486	0.8793	0.8091	0.8427
0.4553	0.5450	400	0.3388	0.8757	0.8729	0.8803	0.8766
0.4318	0.8174	600	0.3273	0.89	0.9006	0.8775	0.8889
0.3155	1.0899	800	0.3807	0.89	0.9281	0.8462	0.8852
0.3279	1.3624	1000	0.3757	0.8943	0.9601	0.8234	0.8865
0.2451	1.6349	1200	0.3784	0.89	0.8683	0.9202	0.8935
0.2956	1.9074	1400	0.3187	0.9143	0.9318	0.8946	0.9128
0.2107	2.1798	1600	0.3999	0.89	0.8513	0.9459	0.8961
0.1744	2.4523	1800	0.6330	0.8857	0.9788	0.7892	0.8738
0.191	2.7248	2000	0.4101	0.91	0.9444	0.8718	0.9067
0.1378	2.9973	2200	0.4604	0.8957	0.8582	0.9487	0.9012
0.0703	3.2698	2400	0.4276	0.9	0.8958	0.9060	0.9008
0.0582	3.5422	2600	0.5431	0.9086	0.9527	0.8604	0.9042
0.0887	3.8147	2800	0.4993	0.9157	0.9534	0.8746	0.9123
0.0976	4.0872	3000	0.4540	0.9157	0.9269	0.9031	0.9149
0.0179	4.3597	3200	0.5068	0.92	0.9086	0.9345	0.9213
0.0277	4.6322	3400	0.5119	0.9157	0.9269	0.9031	0.9149
0.0231	4.9046	3600	0.5334	0.9129	0.9050	0.9231	0.9140

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Library: peft
License: llama3
Created: Oct 20, 2024
Updated: Oct 21, 2024