---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: EElayoutlmv3_rvl-cdip_single_10_2023-04-14
  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. -->

# EElayoutlmv3_rvl-cdip_single_10_2023-04-14

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: 16.6313
- Accuracy: {'accuracy': 0.1}
- Exit 0 Accuracy: 0.1062
- Exit 1 Accuracy: 0.0625
- Exit 2 Accuracy: 0.0813
- Exit 3 Accuracy: 0.0625
- Exit 4 Accuracy: 0.0625

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy          | Exit 0 Accuracy | Exit 1 Accuracy | Exit 2 Accuracy | Exit 3 Accuracy | Exit 4 Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|
| No log        | 1.0   | 160  | 16.6313         | {'accuracy': 0.1} | 0.1062          | 0.0625          | 0.0813          | 0.0625          | 0.0625          |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.9.0
- Tokenizers 0.12.1