smitbutle/first-test-layoutlmv3-finetuned-invoice

layoutlmv3-finetuned-invoice

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

• Loss: 2.1320
• Precision: 0.0104
• Recall: 0.0203
• F1: 0.0138
• Accuracy: 0.6785

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

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.01	1	2.3858	0.0114	0.0649	0.0194	0.1904
No log	0.02	2	2.2795	0.0108	0.0527	0.0180	0.3240
No log	0.03	3	2.2072	0.0131	0.0446	0.0203	0.5155
No log	0.04	4	2.1575	0.0103	0.0243	0.0145	0.6345
No log	0.05	5	2.1320	0.0104	0.0203	0.0138	0.6785

Framework versions

• Transformers 4.35.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1