update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-uncased-ner-invoiceSenderRecipient-all-inv-26-12
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results: []
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# distilbert-base-uncased-ner-invoiceSenderRecipient-all-inv-26-12
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This model was trained from scratch on the None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Framework versions
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- Transformers 4.15.0
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---
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: distilbert-base-uncased-ner-invoiceSenderRecipient-all-inv-26-12
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results: []
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# distilbert-base-uncased-ner-invoiceSenderRecipient-all-inv-26-12
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0253
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- Precision: 0.8377
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- Recall: 0.8893
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- F1: 0.8627
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- Accuracy: 0.9911
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 1
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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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| 0.0301 | 0.06 | 500 | 0.0312 | 0.8199 | 0.8282 | 0.8240 | 0.9892 |
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| 0.0279 | 0.11 | 1000 | 0.0307 | 0.8106 | 0.8602 | 0.8347 | 0.9894 |
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| 0.0253 | 0.17 | 1500 | 0.0317 | 0.8272 | 0.8282 | 0.8277 | 0.9890 |
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| 0.025 | 0.23 | 2000 | 0.0311 | 0.8056 | 0.8699 | 0.8365 | 0.9894 |
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| 0.0249 | 0.28 | 2500 | 0.0327 | 0.7927 | 0.8798 | 0.8340 | 0.9888 |
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| 0.0234 | 0.34 | 3000 | 0.0306 | 0.7948 | 0.8862 | 0.8380 | 0.9894 |
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| 0.0232 | 0.4 | 3500 | 0.0305 | 0.8172 | 0.8803 | 0.8476 | 0.9900 |
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| 0.0235 | 0.46 | 4000 | 0.0295 | 0.8289 | 0.8666 | 0.8473 | 0.9902 |
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| 0.0232 | 0.51 | 4500 | 0.0291 | 0.8048 | 0.8866 | 0.8437 | 0.9899 |
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| 0.0228 | 0.57 | 5000 | 0.0289 | 0.8234 | 0.8839 | 0.8525 | 0.9904 |
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| 0.0246 | 0.63 | 5500 | 0.0292 | 0.8129 | 0.8921 | 0.8506 | 0.9901 |
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| 0.024 | 0.68 | 6000 | 0.0271 | 0.8199 | 0.8908 | 0.8538 | 0.9905 |
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| 0.0285 | 0.74 | 6500 | 0.0267 | 0.8262 | 0.8913 | 0.8575 | 0.9906 |
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| 0.0275 | 0.8 | 7000 | 0.0260 | 0.8325 | 0.8887 | 0.8597 | 0.9909 |
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| 0.0274 | 0.85 | 7500 | 0.0261 | 0.8311 | 0.8924 | 0.8607 | 0.9909 |
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| 0.0262 | 0.91 | 8000 | 0.0254 | 0.8359 | 0.8906 | 0.8624 | 0.9910 |
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| 0.027 | 0.97 | 8500 | 0.0253 | 0.8377 | 0.8893 | 0.8627 | 0.9911 |
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### Framework versions
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- Transformers 4.15.0
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