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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-uncased-finetuned-docvqa |
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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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# bert-base-uncased-finetuned-docvqa |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9146 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 250500 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.2151 | 0.1 | 1000 | 2.6299 | |
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| 1.8885 | 0.21 | 2000 | 2.2217 | |
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| 1.7353 | 0.31 | 3000 | 2.1675 | |
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| 1.6188 | 0.41 | 4000 | 2.2436 | |
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| 1.5802 | 0.52 | 5000 | 2.0539 | |
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| 1.4875 | 0.62 | 6000 | 2.0551 | |
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| 1.4675 | 0.73 | 7000 | 1.9368 | |
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| 1.3485 | 0.83 | 8000 | 1.9456 | |
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| 1.3273 | 0.93 | 9000 | 1.9281 | |
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| 1.1048 | 1.04 | 10000 | 1.9333 | |
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| 0.9529 | 1.14 | 11000 | 2.2019 | |
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| 0.9418 | 1.24 | 12000 | 2.0381 | |
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| 0.9209 | 1.35 | 13000 | 1.8753 | |
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| 0.8788 | 1.45 | 14000 | 1.9964 | |
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| 0.8729 | 1.56 | 15000 | 1.9690 | |
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| 0.8671 | 1.66 | 16000 | 1.8513 | |
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| 0.8379 | 1.76 | 17000 | 1.9627 | |
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| 0.8722 | 1.87 | 18000 | 1.8988 | |
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| 0.7842 | 1.97 | 19000 | 1.9146 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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