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Text_Classification

Text Classification
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distilbert
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text-embeddings-inference
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End of training

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1951
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- - Accuracy: 0.9275
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.2126 | 1.0 | 1563 | 0.1951 | 0.9275 |
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  ### Framework versions
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  - Transformers 4.53.3
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- - Pytorch 2.9.0+cu126
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  - Datasets 4.0.0
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  - Tokenizers 0.21.4
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1949
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+ - Accuracy: 0.9281
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.2154 | 1.0 | 1563 | 0.1949 | 0.9281 |
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  ### Framework versions
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  - Transformers 4.53.3
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+ - Pytorch 2.11.0+cu128
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  - Datasets 4.0.0
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  - Tokenizers 0.21.4