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@@ -12,14 +12,15 @@ metrics:
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  model-index:
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  - name: github_issues-dataset-distilbert-base-uncased
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  results: []
 
 
 
 
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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  # github_issues-dataset-distilbert-base-uncased
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.1495
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  - Accuracy: 0.9580
@@ -70,4 +71,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.49.0
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.4.1
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- - Tokenizers 0.21.1
 
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  model-index:
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  - name: github_issues-dataset-distilbert-base-uncased
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  results: []
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+ datasets:
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+ - lewtun/github-issues
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+ language:
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+ - en
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  ---
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  # github_issues-dataset-distilbert-base-uncased
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a GitHub issues dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1495
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  - Accuracy: 0.9580
 
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  - Transformers 4.49.0
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.4.1
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+ - Tokenizers 0.21.1