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bert-base-multilingual-cased-finetuned-ner

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End of training

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  1. README.md +9 -7
  2. logs/train/events.out.tfevents.1658368723.4639a854d71c.71.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1658369611.4639a854d71c.71.1.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ 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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- - Train Loss: 0.0631
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- - Validation Loss: 0.0387
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- - Train Precision: 0.8765
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- - Train Recall: 0.9074
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- - Train F1: 0.8917
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- - Train Accuracy: 0.9881
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- - Epoch: 0
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  ## Model description
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@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 0.0631 | 0.0387 | 0.8765 | 0.9074 | 0.8917 | 0.9881 | 0 |
 
 
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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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+ - Train Loss: 0.0109
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+ - Validation Loss: 0.0246
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+ - Train Precision: 0.9362
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+ - Train Recall: 0.9416
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+ - Train F1: 0.9389
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+ - Train Accuracy: 0.9937
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+ - Epoch: 2
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  ## Model description
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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  | 0.0631 | 0.0387 | 0.8765 | 0.9074 | 0.8917 | 0.9881 | 0 |
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+ | 0.0241 | 0.0288 | 0.9328 | 0.9274 | 0.9301 | 0.9918 | 1 |
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+ | 0.0109 | 0.0246 | 0.9362 | 0.9416 | 0.9389 | 0.9937 | 2 |
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  ### Framework versions
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