|
|
--- |
|
|
license: cc-by-nc-sa-4.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- precision |
|
|
- recall |
|
|
- f1 |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: layoutlmv2-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. --> |
|
|
|
|
|
# layoutlmv2-er-ner |
|
|
|
|
|
This model is a fine-tuned version of [renjithks/layoutlmv2-cord-ner](https://huggingface.co/renjithks/layoutlmv2-cord-ner) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.1710 |
|
|
- Precision: 0.6987 |
|
|
- Recall: 0.6968 |
|
|
- F1: 0.6977 |
|
|
- Accuracy: 0.9622 |
|
|
|
|
|
## 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 | 0.2635 | 0.4513 | 0.3724 | 0.4080 | 0.9282 | |
|
|
| No log | 2.0 | 44 | 0.2537 | 0.4459 | 0.4824 | 0.4634 | 0.9327 | |
|
|
| No log | 3.0 | 66 | 0.2027 | 0.6367 | 0.5487 | 0.5894 | 0.9486 | |
|
|
| No log | 4.0 | 88 | 0.1943 | 0.6126 | 0.6446 | 0.6282 | 0.9547 | |
|
|
| No log | 5.0 | 110 | 0.1840 | 0.6644 | 0.6756 | 0.6699 | 0.9559 | |
|
|
| No log | 6.0 | 132 | 0.1719 | 0.6819 | 0.6319 | 0.6559 | 0.9610 | |
|
|
| No log | 7.0 | 154 | 0.1698 | 0.6471 | 0.6827 | 0.6644 | 0.9598 | |
|
|
| No log | 8.0 | 176 | 0.1767 | 0.7022 | 0.6685 | 0.6850 | 0.9604 | |
|
|
| No log | 9.0 | 198 | 0.1661 | 0.6973 | 0.6953 | 0.6963 | 0.9630 | |
|
|
| No log | 10.0 | 220 | 0.1710 | 0.6987 | 0.6968 | 0.6977 | 0.9622 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.16.2 |
|
|
- Pytorch 1.9.0+cu111 |
|
|
- Datasets 1.18.4 |
|
|
- Tokenizers 0.11.6 |
|
|
|
