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Pushing the news classification model

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4186
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- - Accuracy: 0.88
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- - F1: 0.8795
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  ## Model description
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@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.8367 | 1.0 | 32 | 0.4420 | 0.85 | 0.8481 |
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- | 0.3242 | 2.0 | 64 | 0.3767 | 0.865 | 0.8659 |
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- | 0.1799 | 3.0 | 96 | 0.4036 | 0.885 | 0.8856 |
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- | 0.1217 | 4.0 | 128 | 0.4325 | 0.87 | 0.8692 |
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- | 0.0917 | 5.0 | 160 | 0.4186 | 0.88 | 0.8795 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4232
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+ - Accuracy: 0.89
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+ - F1: 0.8884
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.8589 | 1.0 | 32 | 0.4555 | 0.855 | 0.8547 |
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+ | 0.316 | 2.0 | 64 | 0.3841 | 0.875 | 0.8737 |
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+ | 0.1993 | 3.0 | 96 | 0.4407 | 0.875 | 0.8753 |
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+ | 0.1376 | 4.0 | 128 | 0.4330 | 0.885 | 0.8829 |
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+ | 0.1128 | 5.0 | 160 | 0.4232 | 0.89 | 0.8884 |
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  ### Framework versions
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