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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: layoutlmv3-testing-v0 |
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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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# layoutlmv3-testing-v0 |
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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: 2.6958 |
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- Precision: 0.2244 |
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- Recall: 0.2148 |
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- F1: 0.2195 |
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- Accuracy: 0.3239 |
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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: 8 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 50 |
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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 | 0.59 | 10 | 3.1329 | 0.0147 | 0.0143 | 0.0145 | 0.1690 | |
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| No log | 1.18 | 20 | 2.9569 | 0.1115 | 0.0716 | 0.0872 | 0.2069 | |
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| No log | 1.76 | 30 | 2.8145 | 0.2026 | 0.1480 | 0.1710 | 0.2482 | |
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| No log | 2.35 | 40 | 2.7292 | 0.2158 | 0.1957 | 0.2053 | 0.3014 | |
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| No log | 2.94 | 50 | 2.6958 | 0.2244 | 0.2148 | 0.2195 | 0.3239 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 1.8.0+cu101 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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