---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-er-ner
  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. -->

# layoutlmv3-er-ner

This model is a fine-tuned version of [renjithks/layoutlmv3-cord-ner](https://huggingface.co/renjithks/layoutlmv3-cord-ner) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1905
- Precision: 0.6189
- Recall: 0.6591
- F1: 0.6384
- Accuracy: 0.9529

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 22   | 0.2818          | 0.3420    | 0.2801 | 0.3079 | 0.9064   |
| No log        | 2.0   | 44   | 0.1898          | 0.5280    | 0.4540 | 0.4882 | 0.9380   |
| No log        | 3.0   | 66   | 0.1729          | 0.5992    | 0.6153 | 0.6071 | 0.9479   |
| No log        | 4.0   | 88   | 0.1880          | 0.6179    | 0.6040 | 0.6109 | 0.9457   |
| No log        | 5.0   | 110  | 0.1845          | 0.5607    | 0.5941 | 0.5769 | 0.9451   |
| No log        | 6.0   | 132  | 0.1869          | 0.6071    | 0.6294 | 0.6181 | 0.9501   |
| No log        | 7.0   | 154  | 0.1838          | 0.6288    | 0.6492 | 0.6388 | 0.9517   |
| No log        | 8.0   | 176  | 0.1928          | 0.5973    | 0.6167 | 0.6068 | 0.9503   |
| No log        | 9.0   | 198  | 0.1899          | 0.6179    | 0.6634 | 0.6398 | 0.9521   |
| No log        | 10.0  | 220  | 0.1905          | 0.6189    | 0.6591 | 0.6384 | 0.9529   |


### Framework versions

- Transformers 4.20.0.dev0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1