layoutlmv3-final-v5-BI – AI Model by noavm | AlphaNeural AI

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noavm/
layoutlmv3-final-v5-BI

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token-classification

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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layoutlmv3-final-v5-BI

This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6247
Precision: 0.8999
Recall: 0.8951
F1: 0.8975
Accuracy: 0.8332

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	2.56	100	1.7861	0.6476	0.5870	0.6158	0.5780
No log	5.13	200	1.0443	0.8398	0.8320	0.8359	0.7429
No log	7.69	300	0.7747	0.8883	0.8818	0.8850	0.8073
No log	10.26	400	0.6585	0.9011	0.8958	0.8984	0.8326
1.3123	12.82	500	0.6247	0.8999	0.8951	0.8975	0.8332

Framework versions

Transformers 4.30.0.dev0
Pytorch 1.8.0+cu101
Datasets 2.12.0
Tokenizers 0.13.3