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LeoZZzzZZ
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bert-base-uncased-finetuned-fact

Text Classification
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bert
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Training in progress epoch 0

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Files changed (5) hide show
  1. README.md +8 -9
  2. logs/train/events.out.tfevents.1716366618.f6a4bbb2972d.324.2.v2 +3 -0
  3. logs/train/events.out.tfevents.1716366894.f6a4bbb2972d.324.3.v2 +3 -0
  4. logs/validation/events.out.tfevents.1716367496.f6a4bbb2972d.324.4.v2 +3 -0
  5. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-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: 0.3447
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- - Validation Loss: 0.6659
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- - Train Accuracy: 0.7624
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- - Train Precision: 0.7710
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- - Train Recall: 0.7624
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- - Train F1: 0.7617
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- - Epoch: 1
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  ## Model description
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@@ -47,8 +47,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
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  |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
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- | 0.5431 | 0.6359 | 0.7552 | 0.7679 | 0.7552 | 0.7502 | 0 |
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- | 0.3447 | 0.6659 | 0.7624 | 0.7710 | 0.7624 | 0.7617 | 1 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-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: 0.4913
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+ - Validation Loss: 0.5867
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+ - Train Accuracy: 0.7729
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+ - Train Precision: 0.7707
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+ - Train Recall: 0.7729
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+ - Train F1: 0.7706
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
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  |:----------:|:---------------:|:--------------:|:---------------:|:------------:|:--------:|:-----:|
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+ | 0.4913 | 0.5867 | 0.7729 | 0.7707 | 0.7729 | 0.7706 | 0 |
 
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  ### Framework versions
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