---
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: 0.2025
- Precision: 0.6442
- Recall: 0.6761
- F1: 0.6598
- Accuracy: 0.9507

## 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   | 0.2940          | 0.4214    | 0.2956 | 0.3475 | 0.9147   |
| No log        | 2.0   | 44   | 0.2487          | 0.4134    | 0.4526 | 0.4321 | 0.9175   |
| No log        | 3.0   | 66   | 0.1922          | 0.5399    | 0.5460 | 0.5429 | 0.9392   |
| No log        | 4.0   | 88   | 0.1977          | 0.5653    | 0.5813 | 0.5732 | 0.9434   |
| No log        | 5.0   | 110  | 0.2018          | 0.6173    | 0.6252 | 0.6212 | 0.9477   |
| No log        | 6.0   | 132  | 0.1823          | 0.6232    | 0.6153 | 0.6192 | 0.9485   |
| No log        | 7.0   | 154  | 0.1972          | 0.6203    | 0.6238 | 0.6220 | 0.9477   |
| No log        | 8.0   | 176  | 0.1952          | 0.6292    | 0.6407 | 0.6349 | 0.9511   |
| No log        | 9.0   | 198  | 0.2070          | 0.6331    | 0.6492 | 0.6411 | 0.9489   |
| No log        | 10.0  | 220  | 0.2025          | 0.6442    | 0.6761 | 0.6598 | 0.9507   |


### Framework versions

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