metadata
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutLMv3-finetuned-confluence
results: []
layoutLMv3-finetuned-confluence
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1354
- Precision: 0.8992
- Recall: 0.9126
- F1: 0.9058
- Accuracy: 0.8578
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 8.33 | 250 | 0.9563 | 0.8807 | 0.9056 | 0.8930 | 0.8505 |
| 0.0199 | 16.67 | 500 | 1.0827 | 0.8792 | 0.9041 | 0.8915 | 0.8393 |
| 0.0199 | 25.0 | 750 | 1.0539 | 0.8834 | 0.9036 | 0.8934 | 0.8493 |
| 0.0048 | 33.33 | 1000 | 1.1217 | 0.8944 | 0.9131 | 0.9036 | 0.8583 |
| 0.0048 | 41.67 | 1250 | 1.1195 | 0.9004 | 0.9071 | 0.9037 | 0.8616 |
| 0.0025 | 50.0 | 1500 | 1.1927 | 0.8923 | 0.9056 | 0.8989 | 0.8467 |
| 0.0025 | 58.33 | 1750 | 1.1155 | 0.9017 | 0.9116 | 0.9066 | 0.8640 |
| 0.0008 | 66.67 | 2000 | 1.1871 | 0.8971 | 0.9056 | 0.9014 | 0.8395 |
| 0.0008 | 75.0 | 2250 | 1.1709 | 0.9007 | 0.9106 | 0.9056 | 0.8420 |
| 0.0006 | 83.33 | 2500 | 1.1354 | 0.8992 | 0.9126 | 0.9058 | 0.8578 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2