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Layout-finetuned-fr-model-25instances25-100epochs-5e-05lr-GPU

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: cc-by-nc-sa-4.0
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+ base_model: microsoft/layoutxlm-base
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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: Layout-finetuned-fr-model-25instances25-100epochs-5e-05lr-GPU
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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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+ # Layout-finetuned-fr-model-25instances25-100epochs-5e-05lr-GPU
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+
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+ This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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+ - Accuracy: 1.0
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+ - Learning Rate: 5e-05
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: reduce_lr_on_plateau
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+ - lr_scheduler_warmup_ratio: 0.06
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+ - num_epochs: 100
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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 | Learning Rate |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|:-------------:|
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+ | 5.3733 | 1.4286 | 10 | 4.1888 | 0.42 | 5e-05 |
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+ | 3.7229 | 2.8571 | 20 | 2.2889 | 0.56 | 5e-05 |
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+ | 2.06 | 4.2857 | 30 | 0.8765 | 0.74 | 5e-05 |
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+ | 1.0064 | 5.7143 | 40 | 0.6363 | 0.76 | 5e-05 |
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+ | 1.0577 | 7.1429 | 50 | 0.4538 | 0.88 | 5e-05 |
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+ | 0.47 | 8.5714 | 60 | 0.3682 | 0.86 | 5e-05 |
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+ | 0.6724 | 10.0 | 70 | 0.1981 | 0.9 | 5e-05 |
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+ | 0.5865 | 11.4286 | 80 | 0.1792 | 0.9 | 5e-05 |
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+ | 0.3017 | 12.8571 | 90 | 0.0972 | 0.96 | 5e-05 |
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+ | 0.1234 | 14.2857 | 100 | 0.0420 | 0.98 | 5e-05 |
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+ | 0.1442 | 15.7143 | 110 | 0.0221 | 1.0 | 5e-05 |
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+ | 0.8793 | 17.1429 | 120 | 0.0764 | 0.98 | 5e-05 |
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+ | 0.0422 | 18.5714 | 130 | 0.1742 | 0.96 | 5e-05 |
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+ | 0.2005 | 20.0 | 140 | 0.0933 | 0.96 | 5e-05 |
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+ | 0.0889 | 21.4286 | 150 | 0.0024 | 1.0 | 5e-05 |
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+ | 0.007 | 22.8571 | 160 | 0.0014 | 1.0 | 5e-05 |
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+ | 0.135 | 24.2857 | 170 | 0.0007 | 1.0 | 5e-05 |
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+ | 0.0018 | 25.7143 | 180 | 0.0008 | 1.0 | 5e-05 |
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+ | 0.0026 | 27.1429 | 190 | 0.0003 | 1.0 | 5e-05 |
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+ | 0.0019 | 28.5714 | 200 | 0.0006 | 1.0 | 5e-05 |
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+ | 0.0037 | 30.0 | 210 | 0.0003 | 1.0 | 5e-05 |
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+ | 0.0008 | 31.4286 | 220 | 0.0029 | 1.0 | 5e-05 |
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+ | 0.0128 | 32.8571 | 230 | 0.0002 | 1.0 | 5e-05 |
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+ | 0.0695 | 34.2857 | 240 | 0.0001 | 1.0 | 5e-05 |
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+ | 0.0003 | 35.7143 | 250 | 0.0002 | 1.0 | 5e-05 |
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+ | 0.0011 | 37.1429 | 260 | 0.0001 | 1.0 | 5e-05 |
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+ | 0.0002 | 38.5714 | 270 | 0.0001 | 1.0 | 5e-05 |
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+ | 0.0002 | 40.0 | 280 | 0.0001 | 1.0 | 5e-05 |
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+ | 0.0002 | 41.4286 | 290 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 42.8571 | 300 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 44.2857 | 310 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 45.7143 | 320 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 47.1429 | 330 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 48.5714 | 340 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 50.0 | 350 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 51.4286 | 360 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 52.8571 | 370 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 54.2857 | 380 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 55.7143 | 390 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 57.1429 | 400 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 58.5714 | 410 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 60.0 | 420 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 61.4286 | 430 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 62.8571 | 440 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 64.2857 | 450 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 65.7143 | 460 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 67.1429 | 470 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 68.5714 | 480 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 70.0 | 490 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 71.4286 | 500 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 72.8571 | 510 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 74.2857 | 520 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 75.7143 | 530 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 77.1429 | 540 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 78.5714 | 550 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 80.0 | 560 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 81.4286 | 570 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 82.8571 | 580 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 84.2857 | 590 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 85.7143 | 600 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 87.1429 | 610 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 88.5714 | 620 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 90.0 | 630 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 91.4286 | 640 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 92.8571 | 650 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 94.2857 | 660 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 95.7143 | 670 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0001 | 97.1429 | 680 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 98.5714 | 690 | 0.0000 | 1.0 | 5e-05 |
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+ | 0.0 | 100.0 | 700 | 0.0000 | 1.0 | 5e-05 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.1
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+ - Pytorch 2.3.1.post300
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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