--- license: cc-by-nc-sa-4.0 base_model: microsoft/layoutlmv3-base tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: doc_classification results: [] --- # doc_classification This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0056 - Precision: 1.0 - Recall: 1.0 - F1: 1.0 - Accuracy: 1.0 ## 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: 1000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | No log | 8.33 | 100 | 0.3533 | 0.4147 | 0.3516 | 0.3805 | 0.8964 | | No log | 16.67 | 200 | 0.0993 | 0.884 | 0.8633 | 0.8735 | 0.9782 | | No log | 25.0 | 300 | 0.0338 | 0.9882 | 0.9805 | 0.9843 | 0.9977 | | No log | 33.33 | 400 | 0.0173 | 0.9961 | 0.9922 | 0.9941 | 0.9992 | | 0.238 | 41.67 | 500 | 0.0109 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.238 | 50.0 | 600 | 0.0081 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.238 | 58.33 | 700 | 0.0068 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.238 | 66.67 | 800 | 0.0061 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.238 | 75.0 | 900 | 0.0057 | 1.0 | 1.0 | 1.0 | 1.0 | | 0.0136 | 83.33 | 1000 | 0.0056 | 1.0 | 1.0 | 1.0 | 1.0 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.17.0 - Tokenizers 0.15.2