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bert-finetuned-ner

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wieghted-bert-hate-speech

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Jul15_07-11-55_ip-10-192-12-156/events.out.tfevents.1721027553.ip-10-192-12-156.5762.0 +3 -0
  4. runs/Jul15_07-11-55_ip-10-192-12-156/events.out.tfevents.1721027577.ip-10-192-12-156.5762.1 +3 -0
  5. runs/Jul15_07-11-55_ip-10-192-12-156/events.out.tfevents.1721027592.ip-10-192-12-156.5762.2 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6121
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- - Precision: 0.5944
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- - Recall: 0.5283
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- - F1: 0.5594
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- - Accuracy: 0.7981
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  ## Model description
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@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.3792 | 1.0 | 2015 | 0.4403 | 0.5739 | 0.5797 | 0.5768 | 0.7937 |
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- | 0.2557 | 2.0 | 4030 | 0.5227 | 0.6205 | 0.5021 | 0.5551 | 0.8048 |
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- | 0.1653 | 3.0 | 6045 | 0.6121 | 0.5944 | 0.5283 | 0.5594 | 0.7981 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7995
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+ - Precision: 0.5456
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+ - Recall: 0.6022
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+ - F1: 0.5725
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+ - Accuracy: 0.7818
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.461 | 1.0 | 2015 | 0.5251 | 0.4697 | 0.7331 | 0.5726 | 0.7345 |
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+ | 0.304 | 2.0 | 4030 | 0.7097 | 0.5475 | 0.5905 | 0.5682 | 0.7823 |
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+ | 0.1909 | 3.0 | 6045 | 0.7995 | 0.5456 | 0.6022 | 0.5725 | 0.7818 |
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  ### Framework versions
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