metadata

license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: layoutlmv3-finetuned-language-levels-v2
    results: []

layoutlmv3-finetuned-language-levels-v2

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: 0.0006
Precision: 1.0
Recall: 1.0
F1: 1.0
Accuracy: 1.0

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: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.0320	100	0.0058	1.0	1.0	1.0	1.0
No log	0.0640	200	0.0022	1.0	1.0	1.0	1.0
No log	0.0959	300	0.0013	1.0	1.0	1.0	1.0
No log	0.1279	400	0.0009	1.0	1.0	1.0	1.0
0.0705	0.1599	500	0.0006	1.0	1.0	1.0	1.0
0.0705	0.1919	600	0.0005	1.0	1.0	1.0	1.0
0.0705	0.2239	700	0.0004	1.0	1.0	1.0	1.0
0.0705	0.2558	800	0.0003	1.0	1.0	1.0	1.0
0.0705	0.2878	900	0.0003	1.0	1.0	1.0	1.0
0.0006	0.3198	1000	0.0003	1.0	1.0	1.0	1.0
0.0006	0.3518	1100	0.0002	1.0	1.0	1.0	1.0
0.0006	0.3838	1200	0.0002	1.0	1.0	1.0	1.0
0.0006	0.4157	1300	0.0002	1.0	1.0	1.0	1.0
0.0006	0.4477	1400	0.0002	1.0	1.0	1.0	1.0
0.0003	0.4797	1500	0.0002	1.0	1.0	1.0	1.0
0.0003	0.5117	1600	0.0002	1.0	1.0	1.0	1.0
0.0003	0.5437	1700	0.0002	1.0	1.0	1.0	1.0
0.0003	0.5756	1800	0.0002	1.0	1.0	1.0	1.0
0.0003	0.6076	1900	0.0001	1.0	1.0	1.0	1.0
0.0002	0.6396	2000	0.0001	1.0	1.0	1.0	1.0

Framework versions

Transformers 4.43.2
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1