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dtorber
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bert-base-cased

Text Classification
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Safetensors
bert
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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Apr22_15-56-14_tardis/events.out.tfevents.1713794175.tardis.85212.0 +2 -2
  4. runs/Apr22_15-56-14_tardis/events.out.tfevents.1713794254.tardis.85212.1 +3 -0
README.md CHANGED
@@ -15,10 +15,10 @@ should 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-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5549
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- - Icm: 0.2242
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- - Icmnorm: 0.6139
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- - Fmeasure: 0.7450
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  ## Model description
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@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | No log | 1.0 | 193 | 0.5537 | 0.0351 | 0.5178 | 0.6717 |
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- | No log | 2.0 | 386 | 0.5549 | 0.2242 | 0.6139 | 0.7450 |
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- | 0.5445 | 3.0 | 579 | 0.6469 | 0.2201 | 0.6118 | 0.7433 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5824
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+ - Icm: 0.1983
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+ - Icmnorm: 0.6007
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+ - Fmeasure: 0.7363
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------:|
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+ | No log | 1.0 | 193 | 0.5964 | -0.1077 | 0.4453 | 0.6054 |
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+ | No log | 2.0 | 386 | 0.5431 | 0.1174 | 0.5597 | 0.7054 |
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+ | 0.5741 | 3.0 | 579 | 0.5824 | 0.1983 | 0.6007 | 0.7363 |
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  ### Framework versions
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