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distilbert-base-uncased-finetuned-ner

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Training in progress epoch 0

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  1. README.md +9 -5
  2. logs/train/events.out.tfevents.1643223068.matt-TRX40-AORUS-PRO-WIFI.218513.0.v2 +2 -2
  3. logs/train/events.out.tfevents.1643223610.matt-TRX40-AORUS-PRO-WIFI.248225.0.v2 +3 -0
  4. logs/validation/events.out.tfevents.1643223105.matt-TRX40-AORUS-PRO-WIFI.218513.1.v2 +2 -2
  5. logs/validation/events.out.tfevents.1643223647.matt-TRX40-AORUS-PRO-WIFI.248225.1.v2 +3 -0
  6. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,8 +14,12 @@ 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: 0.1972
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- - Validation Loss: 0.0686
 
 
 
 
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  - Epoch: 0
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  ## Model description
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  ### Training results
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- | Train Loss | Validation Loss | Epoch |
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- |:----------:|:---------------:|:-----:|
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- | 0.1972 | 0.0686 | 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: 0.1908
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+ - Validation Loss: 0.0726
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+ - Train Precision: 0.9046
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+ - Train Recall: 0.9159
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+ - Train F1: 0.9102
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+ - Train Accuracy: 0.9798
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  - Epoch: 0
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  ## Model description
 
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  ### Training results
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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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+ | 0.1908 | 0.0726 | 0.9046 | 0.9159 | 0.9102 | 0.9798 | 0 |
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  ### Framework versions
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