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vaibhav1411/
layoutlmv2-finetuned-piimask

Name: layoutlmv2-finetuned-piimask
Availability: InStock

generated_from_trainer

microsoft/layoutlmv2-large-uncased

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layoutlmv2-finetuned-piimask

This model is a fine-tuned version of microsoft/layoutlmv2-large-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1939
Precision: 0.7555
Recall: 0.7775
F1: 0.7663
Accuracy: 0.9581

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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	135	0.1473	0.7251	0.6697	0.6963	0.9499
No log	2.0	270	0.1400	0.6767	0.7573	0.7147	0.9621
No log	3.0	405	0.1543	0.7372	0.7753	0.7558	0.9612
0.3116	4.0	540	0.2355	0.7621	0.7775	0.7697	0.9560
0.3116	5.0	675	0.1939	0.7555	0.7775	0.7663	0.9581

Framework versions

Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

vaibhav1411/layoutlmv2-finetuned-piimask

layoutlmv2-finetuned-piimask

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vaibhav1411/
layoutlmv2-finetuned-piimask