layoutlmv3-funsd-finetuned – AI Model by Negus | AlphaNeural AI

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Negus/
layoutlmv3-funsd-finetuned

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token-classification

generated_from_trainer

microsoft/layoutlmv3-base

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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layoutlmv3-funsd-finetuned

This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6391
Precision: 0.8943
Recall: 0.9121
F1: 0.9031
Accuracy: 0.8540

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: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.3333	100	0.6387	0.7375	0.8306	0.7813	0.7786
No log	2.6667	200	0.5473	0.8270	0.8718	0.8489	0.8184
No log	4.0	300	0.5020	0.8514	0.8877	0.8692	0.8278
No log	5.3333	400	0.5326	0.8610	0.9016	0.8809	0.8293
0.5379	6.6667	500	0.5600	0.8656	0.8987	0.8818	0.8451
0.5379	8.0	600	0.5903	0.8778	0.8917	0.8847	0.8357
0.5379	9.3333	700	0.6079	0.8859	0.9026	0.8942	0.8470
0.5379	10.6667	800	0.6449	0.8978	0.9076	0.9027	0.8458
0.5379	12.0	900	0.6410	0.8934	0.9116	0.9024	0.8582
0.1248	13.3333	1000	0.6391	0.8943	0.9121	0.9031	0.8540

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1