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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 +8 -10
  2. logs/train/events.out.tfevents.1643387364.matt-TRX40-AORUS-PRO-WIFI.56293.0.v2 +3 -0
  3. logs/train/events.out.tfevents.1643387397.matt-TRX40-AORUS-PRO-WIFI.57182.0.v2 +3 -0
  4. logs/validation/events.out.tfevents.1643387434.matt-TRX40-AORUS-PRO-WIFI.57182.1.v2 +3 -0
  5. 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 [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: 0.0338
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- - Validation Loss: 0.0599
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- - Train Precision: 0.9227
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- - Train Recall: 0.9344
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- - Train F1: 0.9285
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- - Train Accuracy: 0.9836
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- - Epoch: 2
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  ## Model description
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@@ -46,9 +46,7 @@ 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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- | 0.1991 | 0.0729 | 0.9125 | 0.9165 | 0.9145 | 0.9801 | 0 |
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- | 0.0544 | 0.0628 | 0.9140 | 0.9254 | 0.9197 | 0.9821 | 1 |
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- | 0.0338 | 0.0599 | 0.9227 | 0.9344 | 0.9285 | 0.9836 | 2 |
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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: 0.1933
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+ - Validation Loss: 0.0697
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+ - Train Precision: 0.9065
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+ - Train Recall: 0.9236
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+ - Train F1: 0.9149
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+ - Train Accuracy: 0.9803
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+ - Epoch: 0
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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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+ | 0.1933 | 0.0697 | 0.9065 | 0.9236 | 0.9149 | 0.9803 | 0 |
 
 
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  ### Framework versions
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