model-v2-2024-05-24 – AI Model by ineoApp | AlphaNeural AI

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model-v2-2024-05-24

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token-classification

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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model-v2-2024-05-24

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

Loss: 0.6290
Precision: 0.7352
Recall: 0.7187
F1: 0.7268
Accuracy: 0.8676

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	1.03	100	1.3265	0.3804	0.1879	0.2516	0.7083
No log	2.06	200	0.8735	0.6222	0.5177	0.5652	0.8107
No log	3.09	300	0.7081	0.6899	0.6206	0.6534	0.8445
No log	4.12	400	0.6085	0.7168	0.6643	0.6896	0.8574
0.9891	5.15	500	0.6386	0.7164	0.6868	0.7013	0.8532
0.9891	6.19	600	0.6020	0.6815	0.7057	0.6934	0.8483
0.9891	7.22	700	0.6030	0.7215	0.7045	0.7129	0.8623
0.9891	8.25	800	0.6220	0.7179	0.7128	0.7153	0.8623
0.9891	9.28	900	0.6269	0.7313	0.7270	0.7291	0.8672
0.3198	10.31	1000	0.6290	0.7352	0.7187	0.7268	0.8676

Framework versions

Transformers 4.29.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.13.3