layoutlmv3-finetuned-cord_100

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

• Loss: 0.2908
• Precision: 0.9297
• Recall: 0.9401
• F1: 0.9349
• Accuracy: 0.9435

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: 5
• eval_batch_size: 5
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 2500

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	4.17	250	1.0995	0.6869	0.7635	0.7231	0.7789
1.4568	8.33	500	0.5676	0.8382	0.8765	0.8569	0.8773
1.4568	12.5	750	0.4044	0.8920	0.9147	0.9032	0.9202
0.3562	16.67	1000	0.3518	0.9086	0.9229	0.9157	0.9270
0.3562	20.83	1250	0.3060	0.9245	0.9349	0.9297	0.9372
0.1509	25.0	1500	0.3032	0.9261	0.9379	0.9319	0.9419
0.1509	29.17	1750	0.2980	0.9261	0.9386	0.9323	0.9368
0.0848	33.33	2000	0.2996	0.9226	0.9371	0.9298	0.9385
0.0848	37.5	2250	0.2924	0.9276	0.9394	0.9334	0.9440
0.0619	41.67	2500	0.2908	0.9297	0.9401	0.9349	0.9435

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3