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: ser-model-microsoft
results: []
ser-model-microsoft
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: 0.2762
- Precision: 0.6
- Recall: 0.9
- F1: 0.7200
- Accuracy: 0.925
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 5.0 | 10 | 0.9255 | 0.0 | 0.0 | 0.0 | 0.7 |
| No log | 10.0 | 20 | 0.6668 | 0.4444 | 0.4 | 0.4211 | 0.7875 |
| No log | 15.0 | 30 | 0.4304 | 0.6667 | 0.8 | 0.7273 | 0.85 |
| No log | 20.0 | 40 | 0.4050 | 0.6667 | 0.8 | 0.7273 | 0.85 |
| No log | 25.0 | 50 | 0.5639 | 0.8 | 0.8 | 0.8000 | 0.8125 |
| No log | 30.0 | 60 | 0.2429 | 0.8 | 0.8 | 0.8000 | 0.925 |
| No log | 35.0 | 70 | 0.4434 | 0.6667 | 0.8 | 0.7273 | 0.8625 |
| No log | 40.0 | 80 | 0.2817 | 0.6 | 0.9 | 0.7200 | 0.925 |
| No log | 45.0 | 90 | 0.2784 | 0.6 | 0.9 | 0.7200 | 0.925 |
| No log | 50.0 | 100 | 0.2762 | 0.6 | 0.9 | 0.7200 | 0.925 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1