update model card README.md
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README.md
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This model is a fine-tuned version of [anferico/bert-for-patents](https://huggingface.co/anferico/bert-for-patents) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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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: cosine
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 23 | 1.
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### Framework versions
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This model is a fine-tuned version of [anferico/bert-for-patents](https://huggingface.co/anferico/bert-for-patents) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2000
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- Precision: 0.8850
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- Recall: 0.9021
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- F1: 0.8934
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- Accuracy: 0.9606
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## Model description
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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: cosine
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 23 | 1.0514 | 0.3450 | 0.4285 | 0.3822 | 0.7016 |
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| No log | 2.0 | 46 | 0.7917 | 0.4629 | 0.3607 | 0.4055 | 0.7519 |
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| No log | 3.0 | 69 | 0.6941 | 0.4830 | 0.6241 | 0.5446 | 0.7780 |
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| No log | 4.0 | 92 | 0.5767 | 0.5409 | 0.6947 | 0.6082 | 0.8128 |
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| No log | 5.0 | 115 | 0.4727 | 0.6292 | 0.7267 | 0.6745 | 0.8564 |
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| No log | 6.0 | 138 | 0.3939 | 0.7001 | 0.7587 | 0.7282 | 0.8854 |
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| No log | 7.0 | 161 | 0.3646 | 0.6818 | 0.8122 | 0.7413 | 0.8946 |
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| No log | 8.0 | 184 | 0.3300 | 0.7259 | 0.8184 | 0.7694 | 0.9076 |
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| No log | 9.0 | 207 | 0.2779 | 0.7944 | 0.8424 | 0.8177 | 0.9298 |
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| No log | 10.0 | 230 | 0.2541 | 0.8202 | 0.8610 | 0.8401 | 0.9398 |
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| No log | 11.0 | 253 | 0.2391 | 0.8509 | 0.8657 | 0.8582 | 0.9469 |
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| No log | 12.0 | 276 | 0.2340 | 0.8268 | 0.8790 | 0.8521 | 0.9442 |
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| No log | 13.0 | 299 | 0.2109 | 0.8707 | 0.8859 | 0.8782 | 0.9556 |
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| No log | 14.0 | 322 | 0.2032 | 0.8785 | 0.8971 | 0.8877 | 0.9576 |
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| No log | 15.0 | 345 | 0.2071 | 0.8700 | 0.8986 | 0.8841 | 0.9573 |
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| No log | 16.0 | 368 | 0.2005 | 0.8771 | 0.8989 | 0.8879 | 0.9585 |
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| No log | 17.0 | 391 | 0.2014 | 0.8855 | 0.8993 | 0.8923 | 0.9605 |
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| No log | 18.0 | 414 | 0.2008 | 0.8864 | 0.9024 | 0.8943 | 0.9606 |
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| No log | 19.0 | 437 | 0.2001 | 0.8847 | 0.9021 | 0.8933 | 0.9606 |
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| No log | 20.0 | 460 | 0.2000 | 0.8850 | 0.9021 | 0.8934 | 0.9606 |
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### Framework versions
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