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LayoutLMv3_jordyvl_rvl_cdip_100_examples_per_class_2023-07-07_baseline

Text Classification
Transformers
PyTorch
layoutlmv3
Generated from Trainer
Inference Endpoints
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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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+ - accuracy
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+ model-index:
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+ - name: LayoutLMv3_jordyvl_rvl_cdip_100_examples_per_class_2023-07-07_baseline
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+ results: []
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+ ---
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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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+
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+ # LayoutLMv3_jordyvl_rvl_cdip_100_examples_per_class_2023-07-07_baseline
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+
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+ This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9950
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+ - Accuracy: 0.78
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 6
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 24
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+ - total_train_batch_size: 144
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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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+ - num_epochs: 60
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.9 | 5 | 2.7384 | 0.105 |
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+ | No log | 1.9 | 10 | 2.6717 | 0.14 |
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+ | No log | 2.9 | 15 | 2.6154 | 0.21 |
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+ | No log | 3.9 | 20 | 2.5111 | 0.245 |
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+ | No log | 4.9 | 25 | 2.4349 | 0.2575 |
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+ | No log | 5.9 | 30 | 2.3158 | 0.3 |
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+ | No log | 6.9 | 35 | 2.2286 | 0.335 |
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+ | No log | 7.9 | 40 | 2.1051 | 0.3675 |
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+ | No log | 8.9 | 45 | 2.0340 | 0.41 |
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+ | No log | 9.9 | 50 | 1.8834 | 0.495 |
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+ | No log | 10.9 | 55 | 1.7616 | 0.5275 |
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+ | No log | 11.9 | 60 | 1.6547 | 0.5575 |
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+ | No log | 12.9 | 65 | 1.5398 | 0.585 |
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+ | No log | 13.9 | 70 | 1.4345 | 0.615 |
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+ | No log | 14.9 | 75 | 1.3810 | 0.63 |
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+ | No log | 15.9 | 80 | 1.2689 | 0.685 |
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+ | No log | 16.9 | 85 | 1.2218 | 0.6625 |
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+ | No log | 17.9 | 90 | 1.1964 | 0.6825 |
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+ | No log | 18.9 | 95 | 1.1421 | 0.6875 |
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+ | No log | 19.9 | 100 | 1.1136 | 0.71 |
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+ | No log | 20.9 | 105 | 1.0863 | 0.715 |
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+ | No log | 21.9 | 110 | 1.0472 | 0.7075 |
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+ | No log | 22.9 | 115 | 1.0367 | 0.7375 |
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+ | No log | 23.9 | 120 | 1.0132 | 0.7175 |
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+ | No log | 24.9 | 125 | 0.9760 | 0.7375 |
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+ | No log | 25.9 | 130 | 0.9697 | 0.7275 |
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+ | No log | 26.9 | 135 | 0.9621 | 0.7375 |
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+ | No log | 27.9 | 140 | 0.9532 | 0.745 |
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+ | No log | 28.9 | 145 | 0.9258 | 0.7475 |
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+ | No log | 29.9 | 150 | 0.9703 | 0.7475 |
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+ | No log | 30.9 | 155 | 0.9199 | 0.765 |
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+ | No log | 31.9 | 160 | 0.9678 | 0.745 |
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+ | No log | 32.9 | 165 | 0.9110 | 0.7675 |
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+ | No log | 33.9 | 170 | 0.9723 | 0.755 |
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+ | No log | 34.9 | 175 | 0.9083 | 0.78 |
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+ | No log | 35.9 | 180 | 0.9427 | 0.76 |
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+ | No log | 36.9 | 185 | 0.9301 | 0.77 |
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+ | No log | 37.9 | 190 | 0.9318 | 0.765 |
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+ | No log | 38.9 | 195 | 0.9486 | 0.77 |
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+ | No log | 39.9 | 200 | 0.9676 | 0.755 |
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+ | No log | 40.9 | 205 | 0.9586 | 0.7675 |
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+ | No log | 41.9 | 210 | 0.9516 | 0.7625 |
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+ | No log | 42.9 | 215 | 0.9796 | 0.7625 |
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+ | No log | 43.9 | 220 | 0.9764 | 0.77 |
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+ | No log | 44.9 | 225 | 0.9704 | 0.7675 |
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+ | No log | 45.9 | 230 | 0.9842 | 0.775 |
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+ | No log | 46.9 | 235 | 1.0011 | 0.7625 |
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+ | No log | 47.9 | 240 | 0.9978 | 0.7625 |
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+ | No log | 48.9 | 245 | 0.9873 | 0.775 |
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+ | No log | 49.9 | 250 | 0.9848 | 0.7825 |
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+ | No log | 50.9 | 255 | 0.9857 | 0.7775 |
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+ | No log | 51.9 | 260 | 0.9975 | 0.775 |
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+ | No log | 52.9 | 265 | 0.9933 | 0.78 |
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+ | No log | 53.9 | 270 | 0.9840 | 0.78 |
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+ | No log | 54.9 | 275 | 0.9814 | 0.78 |
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+ | No log | 55.9 | 280 | 0.9860 | 0.775 |
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+ | No log | 56.9 | 285 | 0.9922 | 0.78 |
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+ | No log | 57.9 | 290 | 0.9949 | 0.78 |
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+ | No log | 58.9 | 295 | 0.9953 | 0.78 |
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+ | No log | 59.9 | 300 | 0.9950 | 0.78 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.1
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+ - Pytorch 1.13.1.post200
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+ - Datasets 2.9.0
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+ - Tokenizers 0.13.2