---
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: 0.1788
- Precision: 0.6612
- Recall: 0.6789
- F1: 0.6699
- Accuracy: 0.9549

## 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   | 0.3892          | 0.0       | 0.0    | 0.0    | 0.8793   |
| No log        | 2.0   | 44   | 0.2854          | 0.3343    | 0.3352 | 0.3347 | 0.8956   |
| No log        | 3.0   | 66   | 0.2085          | 0.5692    | 0.5233 | 0.5453 | 0.9388   |
| No log        | 4.0   | 88   | 0.1785          | 0.5556    | 0.6153 | 0.5839 | 0.9426   |
| No log        | 5.0   | 110  | 0.1853          | 0.5769    | 0.6365 | 0.6052 | 0.9455   |
| No log        | 6.0   | 132  | 0.1593          | 0.6592    | 0.6676 | 0.6634 | 0.9539   |
| No log        | 7.0   | 154  | 0.1684          | 0.6676    | 0.6506 | 0.6590 | 0.9529   |
| No log        | 8.0   | 176  | 0.1759          | 0.6443    | 0.6506 | 0.6474 | 0.9537   |
| No log        | 9.0   | 198  | 0.1740          | 0.6607    | 0.6832 | 0.6718 | 0.9555   |
| No log        | 10.0  | 220  | 0.1788          | 0.6612    | 0.6789 | 0.6699 | 0.9549   |


### Framework versions

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