layoutlmv3-finetuned-FUNSD – AI Model by eliascc5 | AlphaNeural AI

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eliascc5/
layoutlmv3-finetuned-FUNSD

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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-finetuned-FUNSD

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: 0.6088
Precision: 0.9024
Recall: 0.9190
F1: 0.9107
Accuracy: 0.8544

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	1.33	100	0.6659	0.7835	0.8217	0.8021	0.7825
No log	2.67	200	0.5631	0.8229	0.8912	0.8557	0.7903
No log	4.0	300	0.4653	0.8470	0.8992	0.8723	0.8389
No log	5.33	400	0.5080	0.8526	0.9081	0.8795	0.8324
0.5612	6.67	500	0.5200	0.8733	0.9036	0.8882	0.8429
0.5612	8.0	600	0.5480	0.8878	0.9160	0.9017	0.8531
0.5612	9.33	700	0.5655	0.8894	0.9146	0.9018	0.8521
0.5612	10.67	800	0.5971	0.8943	0.9160	0.9050	0.8514
0.5612	12.0	900	0.5873	0.9022	0.9215	0.9118	0.8583
0.1425	13.33	1000	0.6088	0.9024	0.9190	0.9107	0.8544

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1