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TomasFAV/
Layoutlmv3InvoiceCzechV03

Name: Layoutlmv3InvoiceCzechV03
Availability: InStock

generated_from_trainer

TomasFAV/Layoutlmv3InvoiceCzechV0

finetune

cc-by-nc-sa-4.0

endpoints_compatible

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Layoutlmv3InvoiceCzechV03

This model is a fine-tuned version of TomasFAV/Layoutlmv3InvoiceCzechV0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0415
Precision: 0.8985
Recall: 0.9289
F1: 0.9135
Accuracy: 0.9921

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: 1
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	23	0.1122	0.6618	0.7648	0.7096	0.9714
No log	2.0	46	0.0820	0.7325	0.8477	0.7859	0.9793
No log	3.0	69	0.0584	0.8167	0.8596	0.8376	0.9860
No log	4.0	92	0.0536	0.8323	0.9069	0.8680	0.9882
No log	5.0	115	0.0477	0.8390	0.9171	0.8763	0.9890
No log	6.0	138	0.0497	0.8717	0.8849	0.8783	0.9899
No log	7.0	161	0.0424	0.8549	0.9171	0.8849	0.9901
No log	8.0	184	0.0426	0.8728	0.9171	0.8944	0.9911
No log	9.0	207	0.0472	0.8799	0.9052	0.8924	0.9905
No log	10.0	230	0.0471	0.8704	0.9205	0.8947	0.9905
No log	11.0	253	0.0432	0.8860	0.9205	0.9029	0.9913
No log	12.0	276	0.0466	0.8861	0.9086	0.8972	0.9913
No log	13.0	299	0.0438	0.9003	0.9171	0.9086	0.9918
No log	14.0	322	0.0423	0.8831	0.9205	0.9014	0.9914
No log	15.0	345	0.0410	0.8916	0.9188	0.9050	0.9916
No log	16.0	368	0.0448	0.8947	0.9205	0.9074	0.9918
No log	17.0	391	0.0410	0.9010	0.9239	0.9123	0.9921
No log	18.0	414	0.0415	0.8985	0.9289	0.9135	0.9921
No log	19.0	437	0.0425	0.8962	0.9205	0.9082	0.9917
No log	20.0	460	0.0422	0.8962	0.9205	0.9082	0.9918

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

TomasFAV/Layoutlmv3InvoiceCzechV03

Layoutlmv3InvoiceCzechV03

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

TomasFAV/
Layoutlmv3InvoiceCzechV03