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distilbert-base-uncased-finetuned-ner

Token Classification
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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.1658104520.fbbb58432702.97.0.v2 +2 -2
  3. logs/validation/events.out.tfevents.1658104558.fbbb58432702.97.1.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 [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: 0.1982
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- - Validation Loss: 0.0715
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- - Train Precision: 0.9040
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- - Train Recall: 0.9218
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- - Train F1: 0.9128
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- - Train Accuracy: 0.9799
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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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  | 0.1982 | 0.0715 | 0.9040 | 0.9218 | 0.9128 | 0.9799 | 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: 0.0623
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+ - Train Precision: 0.9239
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+ - Train Recall: 0.9335
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+ - Train F1: 0.9287
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+ - Train Accuracy: 0.9829
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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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  | 0.1982 | 0.0715 | 0.9040 | 0.9218 | 0.9128 | 0.9799 | 0 |
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+ | 0.0537 | 0.0618 | 0.9202 | 0.9305 | 0.9254 | 0.9827 | 1 |
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+ | 0.0339 | 0.0623 | 0.9239 | 0.9335 | 0.9287 | 0.9829 | 2 |
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  ### Framework versions
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