EElayoutlmv3_rvl-cdip_single_10_2023-05-16_withoutdoublesavecheck – AI Model by jordyvl | AlphaNeural AI

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jordyvl/
EElayoutlmv3_rvl-cdip_single_10_2023-05-16_withoutdoublesavecheck

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text-classification

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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EElayoutlmv3_rvl-cdip_single_10_2023-05-16_withoutdoublesavecheck

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: 2.4923
Accuracy: 0.2812
Exit 0 Accuracy: 0.0938
Exit 1 Accuracy: 0.1187
Exit 2 Accuracy: 0.225
Exit 3 Accuracy: 0.0938
Exit 4 Accuracy: 0.075

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Exit 0 Accuracy	Exit 1 Accuracy	Exit 2 Accuracy	Exit 3 Accuracy	Exit 4 Accuracy
No log	1.0	160	2.7258	0.1187	0.0625	0.0813	0.1062	0.0625	0.0625
No log	2.0	320	2.5812	0.2062	0.0875	0.1313	0.2062	0.125	0.0688
No log	3.0	480	2.4923	0.2812	0.0938	0.1187	0.225	0.0938	0.075

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.12.0
Tokenizers 0.12.1