fine-tuned-rvl-cdip

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: 0.7731
• F1: 0.8177

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	96	2.0377	0.4479
No log	2.0	192	1.3075	0.6641
No log	3.0	288	0.9850	0.7240
No log	4.0	384	0.8775	0.7630
No log	5.0	480	0.7824	0.7865
1.2987	6.0	576	0.7516	0.8021
1.2987	7.0	672	0.7688	0.7865
1.2987	8.0	768	0.7462	0.8125
1.2987	9.0	864	0.7731	0.8177
1.2987	10.0	960	0.7755	0.8125

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.19.1