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--- |
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license: cc-by-nc-sa-4.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: complete-prova |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# complete-prova |
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4074 |
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- Precision: 0.5533 |
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- Recall: 0.3424 |
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- F1: 0.4230 |
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- Accuracy: 0.9092 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 0.76 | 100 | 0.6181 | 0.0 | 0.0 | 0.0 | 0.8733 | |
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| No log | 1.52 | 200 | 0.5377 | 0.4167 | 0.0485 | 0.0869 | 0.8792 | |
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| No log | 2.27 | 300 | 0.4737 | 0.4286 | 0.1222 | 0.1902 | 0.8870 | |
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| No log | 3.03 | 400 | 0.4254 | 0.5152 | 0.3278 | 0.4007 | 0.9063 | |
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| 0.5393 | 3.79 | 500 | 0.4074 | 0.5533 | 0.3424 | 0.4230 | 0.9092 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.2 |
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