metadata
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned-funsd
results: []
layoutlmv3-finetuned-funsd
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: 0.5930
- Precision: 0.7981
- Recall: 0.8675
- F1: 0.8313
- Accuracy: 0.8104
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 150
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.67 | 25 | 1.2209 | 0.4642 | 0.5155 | 0.4885 | 0.6559 |
| No log | 3.33 | 50 | 0.8172 | 0.7324 | 0.776 | 0.7536 | 0.7619 |
| No log | 5.0 | 75 | 0.6125 | 0.7876 | 0.8435 | 0.8146 | 0.8126 |
| No log | 6.67 | 100 | 0.5984 | 0.8053 | 0.8665 | 0.8348 | 0.8107 |
| No log | 8.33 | 125 | 0.5674 | 0.8040 | 0.8715 | 0.8364 | 0.8217 |
| No log | 10.0 | 150 | 0.5930 | 0.7981 | 0.8675 | 0.8313 | 0.8104 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 2.13.2
- Tokenizers 0.10.1