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layoutlmv2-base-uncased_finetuned_docvqa

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  1. README.md +100 -0
  2. pytorch_model.bin +1 -1
  3. runs/Jun26_08-52-20_43e6260a221c/events.out.tfevents.1687769782.43e6260a221c.281.0 +2 -2
README.md ADDED
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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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+ model-index:
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+ - name: layoutlmv2-base-uncased_finetuned_docvqa
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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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+ # layoutlmv2-base-uncased_finetuned_docvqa
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+
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+ This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.6030
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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: 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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.326 | 0.22 | 50 | 4.4949 |
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+ | 4.292 | 0.44 | 100 | 3.9510 |
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+ | 3.9419 | 0.66 | 150 | 3.9100 |
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+ | 3.6895 | 0.88 | 200 | 3.5035 |
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+ | 3.4052 | 1.11 | 250 | 3.4030 |
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+ | 3.1405 | 1.33 | 300 | 3.2100 |
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+ | 2.8966 | 1.55 | 350 | 2.9803 |
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+ | 2.7874 | 1.77 | 400 | 2.7811 |
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+ | 2.5385 | 1.99 | 450 | 2.4748 |
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+ | 2.1532 | 2.21 | 500 | 2.5843 |
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+ | 1.994 | 2.43 | 550 | 2.5459 |
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+ | 1.8322 | 2.65 | 600 | 2.2316 |
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+ | 1.7005 | 2.88 | 650 | 2.1888 |
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+ | 1.4758 | 3.1 | 700 | 2.4578 |
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+ | 1.3543 | 3.32 | 750 | 2.3368 |
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+ | 1.1939 | 3.54 | 800 | 2.9737 |
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+ | 1.294 | 3.76 | 850 | 2.4907 |
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+ | 1.4519 | 3.98 | 900 | 1.9276 |
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+ | 1.0517 | 4.2 | 950 | 2.9981 |
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+ | 0.8171 | 4.42 | 1000 | 2.5618 |
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+ | 1.0456 | 4.65 | 1050 | 2.3139 |
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+ | 0.9222 | 4.87 | 1100 | 2.4243 |
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+ | 0.758 | 5.09 | 1150 | 2.8167 |
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+ | 0.7203 | 5.31 | 1200 | 2.9342 |
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+ | 0.6748 | 5.53 | 1250 | 2.6396 |
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+ | 0.6821 | 5.75 | 1300 | 2.5629 |
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+ | 0.5898 | 5.97 | 1350 | 3.0276 |
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+ | 0.3135 | 6.19 | 1400 | 3.2611 |
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+ | 0.4407 | 6.42 | 1450 | 3.1793 |
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+ | 0.5303 | 6.64 | 1500 | 3.0511 |
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+ | 0.5294 | 6.86 | 1550 | 3.1106 |
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+ | 0.3149 | 7.08 | 1600 | 3.2933 |
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+ | 0.199 | 7.3 | 1650 | 3.4207 |
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+ | 0.164 | 7.52 | 1700 | 3.4379 |
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+ | 0.5258 | 7.74 | 1750 | 3.1339 |
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+ | 0.336 | 7.96 | 1800 | 3.2394 |
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+ | 0.3294 | 8.19 | 1850 | 3.0956 |
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+ | 0.1587 | 8.41 | 1900 | 3.4282 |
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+ | 0.2375 | 8.63 | 1950 | 3.3718 |
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+ | 0.117 | 8.85 | 2000 | 3.5646 |
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+ | 0.2873 | 9.07 | 2050 | 3.5213 |
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+ | 0.2206 | 9.29 | 2100 | 3.5387 |
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+ | 0.2503 | 9.51 | 2150 | 3.5683 |
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+ | 0.0763 | 9.73 | 2200 | 3.6119 |
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+ | 0.1344 | 9.96 | 2250 | 3.6030 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3
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