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distilbert-base-uncased-finetuned-ner

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End of training

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  1. README.md +12 -6
  2. logs/train/events.out.tfevents.1643218550.matt-TRX40-AORUS-PRO-WIFI.141371.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1643218592.matt-TRX40-AORUS-PRO-WIFI.141371.1.v2 +2 -2
  4. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1960
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- - Validation Loss: 0.0692
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- - Epoch: 0
 
 
 
 
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  ## Model description
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@@ -40,9 +44,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Train Loss | Validation Loss | Epoch |
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- |:----------:|:---------------:|:-----:|
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- | 0.1960 | 0.0692 | 0 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0339
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+ - Validation Loss: 0.0589
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+ - Epoch: 2
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+ - Train Precision: 0.9226
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+ - Train Recall: 0.9346
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+ - Train F1: 0.9285
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+ - Train Accuracy: 0.9834
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  ## Model description
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  ### Training results
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+ | Train Loss | Validation Loss | Epoch | Train Precision | Train Recall | Train F1 | Train Accuracy |
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+ |:----------:|:---------------:|:-----:|:---------------:|:------------:|:--------:|:--------------:|
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+ | 0.1960 | 0.0692 | 0 | 0.9063 | 0.9246 | 0.9154 | 0.9809 |
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+ | 0.0535 | 0.0598 | 1 | 0.9203 | 0.9330 | 0.9266 | 0.9830 |
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+ | 0.0339 | 0.0589 | 2 | 0.9226 | 0.9346 | 0.9285 | 0.9834 |
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  ### Framework versions
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