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bert-base-multilingual-cased-finetuned-ner

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End of training

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Dec25_15-43-24_41a54c8aa725/events.out.tfevents.1703519005.41a54c8aa725.955.0 +2 -2
  4. runs/Dec25_15-43-24_41a54c8aa725/events.out.tfevents.1703519635.41a54c8aa725.955.1 +3 -0
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1650
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- - Precision: 0.8848
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- - Recall: 0.9003
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- - F1: 0.8925
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- - Accuracy: 0.9714
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  ## Model description
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@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.1951 | 1.0 | 878 | 0.0662 | 0.9151 | 0.9343 | 0.9246 | 0.9821 |
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- | 0.0485 | 2.0 | 1756 | 0.0605 | 0.9513 | 0.9492 | 0.9503 | 0.9873 |
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- | 0.0284 | 3.0 | 2634 | 0.0567 | 0.9491 | 0.9499 | 0.9495 | 0.9874 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1601
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+ - Precision: 0.8875
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+ - Recall: 0.9009
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+ - F1: 0.8942
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+ - Accuracy: 0.9720
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1977 | 1.0 | 878 | 0.0664 | 0.9216 | 0.9346 | 0.9280 | 0.9828 |
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+ | 0.0473 | 2.0 | 1756 | 0.0579 | 0.9491 | 0.9473 | 0.9482 | 0.9871 |
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+ | 0.0278 | 3.0 | 2634 | 0.0549 | 0.9544 | 0.9546 | 0.9545 | 0.9885 |
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  ### Framework versions
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