layoutmlv3_thursday_sep7_v5

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: 0.1416
  • Precision: 0.5517
  • Recall: 0.9412
  • F1: 0.6957
  • Accuracy: 0.9822

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: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 8.33 100 0.3243 0.5556 0.8824 0.6818 0.9485
No log 16.67 200 0.1584 0.6087 0.8235 0.7 0.9734
No log 25.0 300 0.1682 0.5517 0.9412 0.6957 0.9769
No log 33.33 400 0.1773 0.4545 0.8824 0.6 0.9734
0.2633 41.67 500 0.1631 0.4375 0.8235 0.5714 0.9751
0.2633 50.0 600 0.1526 0.5517 0.9412 0.6957 0.9769
0.2633 58.33 700 0.1430 0.5517 0.9412 0.6957 0.9840
0.2633 66.67 800 0.1497 0.5517 0.9412 0.6957 0.9822
0.2633 75.0 900 0.1418 0.5517 0.9412 0.6957 0.9805
0.0111 83.33 1000 0.1416 0.5517 0.9412 0.6957 0.9822

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
Downloads last month
75
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for dwitidibyajyoti/layoutmlv3_thursday_sep7_v5

Finetuned
(217)
this model