metadata
license: cc-by-nc-sa-4.0
base_model: hmart824/layoutlmv3-finetuned_1.1
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned_1.3_modified
results: []
layoutlmv3-finetuned_1.3_modified
This model is a fine-tuned version of hmart824/layoutlmv3-finetuned_1.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7665
- Precision: 0.4465
- Recall: 0.4965
- F1: 0.4683
- Accuracy: 0.8851
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.7868 | 1.0 | 24 | 0.8603 | 0.4444 | 0.4878 | 0.4608 | 0.8678 |
| 0.1898 | 2.0 | 48 | 0.9585 | 0.4367 | 0.4727 | 0.4468 | 0.8391 |
| 0.3115 | 3.0 | 72 | 0.7665 | 0.4465 | 0.4965 | 0.4683 | 0.8851 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1