llama-2-ner

Farjfar/llama-2-ner

llama-2-ner is a machine learning model from Farjfar. 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.

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
Access: Public
Created: Apr 20, 2024
Updated: May 6, 2024
SHA: 77adf996

Base models

NousResearch/Llama-2-7b-hf

Model card

From the Hugging Face model README

llama-2-ner

This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1413
Precision: 0.5320
Recall: 0.5684
F1: 0.5496
Accuracy: 0.9784

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: 0.0009
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	39	0.1312	0.1429	0.0053	0.0102	0.9677
No log	2.0	78	0.1077	0.3717	0.2211	0.2772	0.9700
No log	3.0	117	0.0770	0.4156	0.3368	0.3721	0.9752
No log	4.0	156	0.0683	0.4304	0.5368	0.4778	0.9755
No log	5.0	195	0.1069	0.4923	0.5053	0.4987	0.9768
No log	6.0	234	0.1214	0.5506	0.5158	0.5326	0.9776
No log	7.0	273	0.1393	0.5276	0.5526	0.5398	0.9783
No log	8.0	312	0.1413	0.5320	0.5684	0.5496	0.9784

Framework versions

PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
Created: Apr 20, 2024
Updated: May 6, 2024