layoutlmv3-finetuned-language-levels-v3-4000

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: 0.0209
• 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	0.0290	100	0.8242	0.9549	0.9520	0.9534	0.7171
No log	0.0579	200	0.5708	0.9636	0.9772	0.9703	0.7951
No log	0.0869	300	0.3493	0.9993	0.9993	0.9993	0.8839
No log	0.1158	400	0.1466	0.9998	0.9998	0.9998	0.9752
0.6024	0.1448	500	0.0689	0.9965	0.9972	0.9969	0.9823
0.6024	0.1738	600	0.0442	1.0	1.0	1.0	0.9946
0.6024	0.2027	700	0.0360	1.0	1.0	1.0	0.9847
0.6024	0.2317	800	0.0280	1.0	1.0	1.0	0.9972
0.6024	0.2606	900	0.0247	1.0	1.0	1.0	0.9953
0.0516	0.2896	1000	0.0209	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.43.3
• Pytorch 2.1.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1