update model card README.md

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: complete-prova
+  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. -->
+
+# complete-prova
+
+This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4074
+- Precision: 0.5533
+- Recall: 0.3424
+- F1: 0.4230
+- Accuracy: 0.9092
+
+## 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: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 0.76  | 100  | 0.6181          | 0.0       | 0.0    | 0.0    | 0.8733   |
+| No log        | 1.52  | 200  | 0.5377          | 0.4167    | 0.0485 | 0.0869 | 0.8792   |
+| No log        | 2.27  | 300  | 0.4737          | 0.4286    | 0.1222 | 0.1902 | 0.8870   |
+| No log        | 3.03  | 400  | 0.4254          | 0.5152    | 0.3278 | 0.4007 | 0.9063   |
+| 0.5393        | 3.79  | 500  | 0.4074          | 0.5533    | 0.3424 | 0.4230 | 0.9092   |
+
+
+### Framework versions
+
+- Transformers 4.25.0.dev0
+- Pytorch 1.13.0+cu116
+- Datasets 2.6.1
+- Tokenizers 0.13.2