complete-prova – AI Model by sabrinaverga | AlphaNeural AI

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sabrinaverga/
complete-prova

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token-classification

generated_from_trainer

cc-by-nc-sa-4.0

autotrain_compatible

endpoints_compatible

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complete-prova

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: 0.4074
Precision: 0.5533
Recall: 0.3424
F1: 0.4230
Accuracy: 0.9092

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: 2
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.76	100	0.6181	0.0	0.0	0.0	0.8733
No log	1.52	200	0.5377	0.4167	0.0485	0.0869	0.8792
No log	2.27	300	0.4737	0.4286	0.1222	0.1902	0.8870
No log	3.03	400	0.4254	0.5152	0.3278	0.4007	0.9063
0.5393	3.79	500	0.4074	0.5533	0.3424	0.4230	0.9092

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.6.1
Tokenizers 0.13.2