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: test
results: []
test
This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1230
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9778
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 | 10.0 | 20 | 0.2306 | 0.0 | 0.0 | 0.0 | 0.9333 |
| No log | 20.0 | 40 | 0.0638 | 0.0 | 0.0 | 0.0 | 0.9778 |
| No log | 30.0 | 60 | 0.0727 | 0.0 | 0.0 | 0.0 | 0.9778 |
| No log | 40.0 | 80 | 0.0940 | 0.0 | 0.0 | 0.0 | 0.9778 |
| No log | 50.0 | 100 | 0.1230 | 0.0 | 0.0 | 0.0 | 0.9778 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3