---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-large
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: Output_LayoutLMv3_1
  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. -->

# Output_LayoutLMv3_1

This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2963
- Precision: 0.8017
- Recall: 0.8407
- F1: 0.8207
- Accuracy: 0.9724

## 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: 3000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 2.27  | 100  | 0.1310          | 0.7254    | 0.7832 | 0.7532 | 0.9619   |
| No log        | 4.55  | 200  | 0.1070          | 0.8333    | 0.8407 | 0.8370 | 0.9733   |
| No log        | 6.82  | 300  | 0.1617          | 0.8421    | 0.8496 | 0.8458 | 0.9752   |
| No log        | 9.09  | 400  | 0.1895          | 0.8145    | 0.7965 | 0.8054 | 0.9705   |
| 0.074         | 11.36 | 500  | 0.1689          | 0.8018    | 0.7876 | 0.7946 | 0.9686   |
| 0.074         | 13.64 | 600  | 0.1659          | 0.8291    | 0.8584 | 0.8435 | 0.9771   |
| 0.074         | 15.91 | 700  | 0.2043          | 0.8077    | 0.8363 | 0.8217 | 0.9705   |
| 0.074         | 18.18 | 800  | 0.2111          | 0.8151    | 0.8584 | 0.8362 | 0.9743   |
| 0.074         | 20.45 | 900  | 0.1938          | 0.8390    | 0.8761 | 0.8571 | 0.9762   |
| 0.0072        | 22.73 | 1000 | 0.1802          | 0.8319    | 0.8540 | 0.8428 | 0.98     |
| 0.0072        | 25.0  | 1100 | 0.2604          | 0.7940    | 0.8186 | 0.8061 | 0.9695   |
| 0.0072        | 27.27 | 1200 | 0.2550          | 0.8025    | 0.8451 | 0.8233 | 0.9733   |
| 0.0072        | 29.55 | 1300 | 0.2632          | 0.8077    | 0.8363 | 0.8217 | 0.9705   |
| 0.0072        | 31.82 | 1400 | 0.2865          | 0.8155    | 0.8407 | 0.8279 | 0.9714   |
| 0.0018        | 34.09 | 1500 | 0.2554          | 0.8253    | 0.8363 | 0.8308 | 0.9743   |
| 0.0018        | 36.36 | 1600 | 0.2763          | 0.8101    | 0.8496 | 0.8294 | 0.9743   |
| 0.0018        | 38.64 | 1700 | 0.2541          | 0.8197    | 0.8451 | 0.8322 | 0.9743   |
| 0.0018        | 40.91 | 1800 | 0.2785          | 0.8025    | 0.8628 | 0.8316 | 0.9724   |
| 0.0018        | 43.18 | 1900 | 0.2760          | 0.8059    | 0.8451 | 0.8251 | 0.9733   |
| 0.001         | 45.45 | 2000 | 0.2956          | 0.8155    | 0.8407 | 0.8279 | 0.9733   |
| 0.001         | 47.73 | 2100 | 0.2998          | 0.8017    | 0.8407 | 0.8207 | 0.9724   |
| 0.001         | 50.0  | 2200 | 0.3007          | 0.8017    | 0.8407 | 0.8207 | 0.9724   |
| 0.001         | 52.27 | 2300 | 0.3000          | 0.8017    | 0.8407 | 0.8207 | 0.9724   |
| 0.001         | 54.55 | 2400 | 0.3031          | 0.8017    | 0.8407 | 0.8207 | 0.9724   |
| 0.0002        | 56.82 | 2500 | 0.3174          | 0.7950    | 0.8407 | 0.8172 | 0.9714   |
| 0.0002        | 59.09 | 2600 | 0.3061          | 0.7950    | 0.8407 | 0.8172 | 0.9714   |
| 0.0002        | 61.36 | 2700 | 0.3059          | 0.7908    | 0.8363 | 0.8129 | 0.9705   |
| 0.0002        | 63.64 | 2800 | 0.2988          | 0.8017    | 0.8407 | 0.8207 | 0.9724   |
| 0.0002        | 65.91 | 2900 | 0.2972          | 0.8017    | 0.8407 | 0.8207 | 0.9724   |
| 0.0001        | 68.18 | 3000 | 0.2963          | 0.8017    | 0.8407 | 0.8207 | 0.9724   |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2