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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# doc_classification

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0056
- 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: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 8.33  | 100  | 0.3533          | 0.4147    | 0.3516 | 0.3805 | 0.8964   |
| No log        | 16.67 | 200  | 0.0993          | 0.884     | 0.8633 | 0.8735 | 0.9782   |
| No log        | 25.0  | 300  | 0.0338          | 0.9882    | 0.9805 | 0.9843 | 0.9977   |
| No log        | 33.33 | 400  | 0.0173          | 0.9961    | 0.9922 | 0.9941 | 0.9992   |
| 0.238         | 41.67 | 500  | 0.0109          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.238         | 50.0  | 600  | 0.0081          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.238         | 58.33 | 700  | 0.0068          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.238         | 66.67 | 800  | 0.0061          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.238         | 75.0  | 900  | 0.0057          | 1.0       | 1.0    | 1.0    | 1.0      |
| 0.0136        | 83.33 | 1000 | 0.0056          | 1.0       | 1.0    | 1.0    | 1.0      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2