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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 +15 -15
  2. model.safetensors +1 -1
  3. runs/Apr22_16-25-16_tardis/events.out.tfevents.1713796173.tardis.88548.3 +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: 1.0696
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- - Icm: 0.2500
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- - Icmnorm: 0.6270
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- - Fmeasure: 0.7527
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  ## Model description
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@@ -49,17 +49,17 @@ 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 | 0.5532 | 0.0296 | 0.5150 | 0.6799 |
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- | No log | 2.0 | 386 | 0.5675 | 0.0351 | 0.5178 | 0.6717 |
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- | 0.5622 | 3.0 | 579 | 0.6747 | 0.0529 | 0.5269 | 0.6855 |
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- | 0.5622 | 4.0 | 772 | 1.0832 | 0.0550 | 0.5280 | 0.6862 |
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- | 0.5622 | 5.0 | 965 | 1.0696 | 0.2500 | 0.6270 | 0.7527 |
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- | 0.245 | 6.0 | 1158 | 1.2607 | 0.1418 | 0.5721 | 0.7156 |
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- | 0.245 | 7.0 | 1351 | 1.4368 | 0.1713 | 0.5870 | 0.7273 |
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- | 0.1099 | 8.0 | 1544 | 1.6234 | 0.1002 | 0.5509 | 0.7029 |
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- | 0.1099 | 9.0 | 1737 | 1.6115 | 0.1480 | 0.5752 | 0.7194 |
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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: 1.7925
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+ - Icm: 0.1093
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+ - Icmnorm: 0.5555
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+ - Fmeasure: 0.7028
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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 | 0.6074 | -0.0961 | 0.4513 | 0.6268 |
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+ | No log | 2.0 | 386 | 0.6348 | 0.0355 | 0.5180 | 0.6813 |
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+ | 0.5225 | 3.0 | 579 | 0.7943 | 0.0544 | 0.5276 | 0.6833 |
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+ | 0.5225 | 4.0 | 772 | 1.2155 | 0.0329 | 0.5167 | 0.6742 |
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+ | 0.5225 | 5.0 | 965 | 1.4321 | 0.0474 | 0.5240 | 0.6843 |
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+ | 0.1703 | 6.0 | 1158 | 1.7054 | 0.0518 | 0.5263 | 0.6701 |
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+ | 0.1703 | 7.0 | 1351 | 1.8039 | 0.0616 | 0.5313 | 0.6883 |
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+ | 0.0455 | 8.0 | 1544 | 1.7925 | 0.1093 | 0.5555 | 0.7028 |
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+ | 0.0455 | 9.0 | 1737 | 1.8340 | 0.0808 | 0.5410 | 0.6951 |
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  ### Framework versions
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runs/Apr22_16-25-16_tardis/events.out.tfevents.1713796173.tardis.88548.3 ADDED
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