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bert-base-multilingual-cased-finetuned-ner

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End of training

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Files changed (4) hide show
  1. README.md +9 -7
  2. logs/train/events.out.tfevents.1659316000.f91607283f1a.71.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1659316524.f91607283f1a.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: 0.1335
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- - Validation Loss: 0.0705
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- - Train Precision: 0.9152
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- - Train Recall: 0.9204
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- - Train F1: 0.9178
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- - Train Accuracy: 0.9806
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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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  | 0.1335 | 0.0705 | 0.9152 | 0.9204 | 0.9178 | 0.9806 | 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: 0.0248
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+ - Validation Loss: 0.0568
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+ - Train Precision: 0.9424
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+ - Train Recall: 0.9471
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+ - Train F1: 0.9448
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+ - Train Accuracy: 0.9863
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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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  | 0.1335 | 0.0705 | 0.9152 | 0.9204 | 0.9178 | 0.9806 | 0 |
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+ | 0.0497 | 0.0562 | 0.9335 | 0.9472 | 0.9403 | 0.9851 | 1 |
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+ | 0.0248 | 0.0568 | 0.9424 | 0.9471 | 0.9448 | 0.9863 | 2 |
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  ### Framework versions
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