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  1. README.md +11 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Hartunka/distilbert_km_100_v1](https://huggingface.co/Hartunka/distilbert_km_100_v1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5745
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- - Accuracy: 0.8256
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- - F1: 0.7730
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- - Combined Score: 0.7993
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  ## Model description
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@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
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- | 0.4919 | 1.0 | 1422 | 0.4529 | 0.7824 | 0.6656 | 0.7240 |
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- | 0.3921 | 2.0 | 2844 | 0.4083 | 0.8102 | 0.7444 | 0.7773 |
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- | 0.3186 | 3.0 | 4266 | 0.4127 | 0.8213 | 0.7579 | 0.7896 |
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- | 0.2569 | 4.0 | 5688 | 0.4437 | 0.8248 | 0.7470 | 0.7859 |
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- | 0.2051 | 5.0 | 7110 | 0.4523 | 0.8256 | 0.7694 | 0.7975 |
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- | 0.1646 | 6.0 | 8532 | 0.4972 | 0.8288 | 0.7669 | 0.7978 |
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- | 0.1331 | 7.0 | 9954 | 0.5745 | 0.8256 | 0.7730 | 0.7993 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Hartunka/distilbert_km_100_v1](https://huggingface.co/Hartunka/distilbert_km_100_v1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5799
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+ - Accuracy: 0.8250
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+ - F1: 0.7713
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+ - Combined Score: 0.7981
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
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+ | 0.4919 | 1.0 | 1422 | 0.4533 | 0.7821 | 0.6642 | 0.7232 |
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+ | 0.3921 | 2.0 | 2844 | 0.4085 | 0.8093 | 0.7424 | 0.7758 |
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+ | 0.3188 | 3.0 | 4266 | 0.4120 | 0.8208 | 0.7563 | 0.7885 |
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+ | 0.2569 | 4.0 | 5688 | 0.4426 | 0.8242 | 0.7465 | 0.7853 |
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+ | 0.2054 | 5.0 | 7110 | 0.4547 | 0.8260 | 0.7674 | 0.7967 |
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+ | 0.1647 | 6.0 | 8532 | 0.4840 | 0.8284 | 0.7721 | 0.8002 |
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+ | 0.1329 | 7.0 | 9954 | 0.5799 | 0.8250 | 0.7713 | 0.7981 |
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  ### Framework versions
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