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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- rvl_cdip |
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metrics: |
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- accuracy |
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base_model: microsoft/dit-base-finetuned-rvlcdip |
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model-index: |
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- name: invoicevsadvertisement |
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results: |
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- task: |
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type: image-classification |
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name: Image Classification |
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dataset: |
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name: rvl_cdip |
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type: rvl_cdip |
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config: default |
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split: train |
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args: default |
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metrics: |
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- type: accuracy |
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value: 0.9892257579553997 |
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name: Accuracy |
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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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# invoicevsadvertisement |
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This model is a fine-tuned version of [microsoft/dit-base-finetuned-rvlcdip](https://huggingface.co/microsoft/dit-base-finetuned-rvlcdip) on the rvl_cdip dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0292 |
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- Accuracy: 0.9892 |
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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: 5e-05 |
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- train_batch_size: 192 |
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- eval_batch_size: 192 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 768 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4353 | 0.98 | 41 | 0.0758 | 0.9837 | |
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| 0.0542 | 1.98 | 82 | 0.0359 | 0.9860 | |
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| 0.0349 | 2.98 | 123 | 0.0336 | 0.9867 | |
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| 0.0323 | 3.98 | 164 | 0.0304 | 0.9876 | |
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| 0.0288 | 4.98 | 205 | 0.0292 | 0.9892 | |
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### Framework versions |
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- Transformers 4.21.3 |
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- Pytorch 1.12.1 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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