| 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: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # layoutlmv3-finetuned_1.3_modified | |
| This model is a fine-tuned version of [hmart824/layoutlmv3-finetuned_1.1](https://huggingface.co/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 | |