haronbenfaida/layoutlmv3-finetuned-facturesv0

test

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: 0.0203
• Precision: 1.0
• Recall: 1.0
• F1: 1.0
• Accuracy: 1.0

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	2.5	100	0.5488	0.9140	0.8379	0.8743	0.9448
No log	5.0	200	0.1142	1.0	1.0	1.0	1.0
No log	7.5	300	0.0433	1.0	1.0	1.0	1.0
No log	10.0	400	0.0274	1.0	1.0	1.0	1.0
0.4317	12.5	500	0.0203	1.0	1.0	1.0	1.0
0.4317	15.0	600	0.0165	1.0	1.0	1.0	1.0
0.4317	17.5	700	0.0143	1.0	1.0	1.0	1.0
0.4317	20.0	800	0.0129	1.0	1.0	1.0	1.0
0.4317	22.5	900	0.0121	1.0	1.0	1.0	1.0
0.0248	25.0	1000	0.0119	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1