EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2023-05-22_loss_subgraphs – AI Model by jordyvl | AlphaNeural AI

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jordyvl/
EElayoutlmv3_jordyvl_rvl_cdip_easyocr_2023-05-22_loss_subgraphs

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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_2023-05-22_loss_subgraphs

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: 0.2391
Accuracy: 0.9343
Exit 0 Accuracy: 0.3283
Exit 1 Accuracy: 0.4678
Exit 2 Accuracy: 0.8356
Exit 3 Accuracy: 0.9082
Exit 4 Accuracy: 0.9331

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: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Exit 0 Accuracy	Exit 1 Accuracy	Exit 2 Accuracy	Exit 3 Accuracy	Exit 4 Accuracy
0.4036	1.0	1250	0.3090	0.9140	0.2036	0.3108	0.7504	0.8722	0.9108
0.2783	2.0	2500	0.2730	0.9221	0.2715	0.3928	0.7959	0.8902	0.9227
0.2376	3.0	3750	0.2487	0.9284	0.2865	0.4313	0.8182	0.9000	0.9280
0.1984	4.0	5000	0.2446	0.9314	0.3150	0.4529	0.8282	0.9033	0.9301
0.1729	5.0	6250	0.2424	0.9327	0.3240	0.4636	0.8331	0.9076	0.9323
0.1524	6.0	7500	0.2391	0.9343	0.3283	0.4678	0.8356	0.9082	0.9331

Framework versions

Transformers 4.26.1
Pytorch 1.13.1.post200
Datasets 2.9.0
Tokenizers 0.13.2