llama2-7B_MT

rishavranaut/llama2-7B_MT

llama2-7B_MT 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 llama2.

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: llama2
Access: Public
Created: Sep 22, 2024
Updated: Sep 22, 2024
SHA: ba0407d3

Base models

meta-llama/Llama-2-7b-hf

Model card

From the Hugging Face model README

llama2-7B_MT

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7960
Accuracy: 0.8317
Precision: 0.8541
Recall: 0.8
F1 score: 0.8262

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
0.693	0.25	200	0.6029	0.7617	0.8398	0.6467	0.7307
0.5602	0.5	400	0.6130	0.7733	0.8661	0.6467	0.7405
0.5364	0.75	600	0.4880	0.785	0.7714	0.81	0.7902
0.5136	1.0	800	0.5408	0.7717	0.8327	0.68	0.7486
0.3945	1.25	1000	0.6649	0.7683	0.9215	0.5867	0.7169
0.3574	1.5	1200	0.5797	0.7767	0.7413	0.85	0.7919
0.3927	1.75	1400	0.4764	0.8267	0.8333	0.8167	0.8249
0.3584	2.0	1600	0.4186	0.8267	0.8475	0.7967	0.8213
0.2488	2.25	1800	0.4973	0.8317	0.8755	0.7733	0.8212
0.2519	2.5	2000	0.5590	0.8217	0.8814	0.7433	0.8065
0.2424	2.75	2200	0.6088	0.8217	0.8587	0.77	0.8120
0.2517	3.0	2400	0.5793	0.8317	0.8964	0.75	0.8167
0.1178	3.25	2600	0.6630	0.8183	0.8498	0.7733	0.8098
0.1058	3.5	2800	0.9330	0.8167	0.8958	0.7167	0.7963
0.098	3.75	3000	0.7077	0.82	0.8137	0.83	0.8218
0.0875	4.0	3200	0.6751	0.82	0.8288	0.8067	0.8176
0.0251	4.25	3400	0.7202	0.8283	0.8339	0.82	0.8269
0.0202	4.5	3600	0.7859	0.83	0.8587	0.79	0.8229
0.0196	4.75	3800	0.8298	0.8333	0.8650	0.79	0.8258
0.0174	5.0	4000	0.7960	0.8317	0.8541	0.8	0.8262

Framework versions

PEFT 0.11.1
Transformers 4.44.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: llama2
Created: Sep 22, 2024
Updated: Sep 22, 2024