layoutmlv3_thursday_oct_7_v5 – AI Model by dwitidibyajyoti | AlphaNeural AI

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dwitidibyajyoti/
layoutmlv3_thursday_oct_7_v5

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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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layoutmlv3_thursday_oct_7_v5

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: 0.1171
Precision: 0.8763
Recall: 0.9075
F1: 0.8916
Accuracy: 0.9821

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	0.86	100	0.2961	0.8166	0.8559	0.8358	0.9372
No log	1.72	200	0.1481	0.8037	0.8594	0.8306	0.9674
No log	2.59	300	0.1191	0.8082	0.8772	0.8413	0.9753
No log	3.45	400	0.0892	0.8969	0.9128	0.9048	0.9844
0.29	4.31	500	0.1171	0.8763	0.9075	0.8916	0.9821
0.29	5.17	600	0.0994	0.8864	0.9021	0.8942	0.9818
0.29	6.03	700	0.0851	0.8901	0.8932	0.8917	0.9844
0.29	6.9	800	0.0957	0.8425	0.8950	0.8680	0.9814
0.29	7.76	900	0.0951	0.8735	0.8968	0.8850	0.9834
0.1351	8.62	1000	0.1005	0.8772	0.9021	0.8895	0.9840

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1