EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2023-07-09_weighted – AI Model by jordyvl | AlphaNeural AI

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jordyvl/
EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2023-07-09_weighted

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text-classification

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2023-07-09_weighted

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: 0.2223
Accuracy: 0.9400
Exit 0 Accuracy: 0.2580
Exit 1 Accuracy: 0.5214
Exit 2 Accuracy: 0.7781
Exit 3 Accuracy: 0.8564
Exit 4 Accuracy: 0.9330

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: 6
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 24
total_train_batch_size: 144
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Exit 0 Accuracy	Exit 1 Accuracy	Exit 2 Accuracy	Exit 3 Accuracy	Exit 4 Accuracy
2.4115	1.0	2222	0.2907	0.9172	0.209	0.3731	0.645	0.7651	0.9109
2.0272	2.0	4444	0.2444	0.9310	0.2243	0.4579	0.7297	0.8172	0.9234
1.8196	3.0	6666	0.2268	0.9350	0.2383	0.4979	0.7589	0.8439	0.9285
1.7287	4.0	8888	0.2216	0.9387	0.2438	0.5163	0.7728	0.8533	0.9315
1.6664	5.0	11110	0.2223	0.9400	0.2580	0.5214	0.7781	0.8564	0.9330

Framework versions

Transformers 4.26.1
Pytorch 1.13.1.post200
Datasets 2.9.0
Tokenizers 0.13.2