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Update README.md

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@@ -4,9 +4,14 @@ tags:
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  metrics:
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  - f1
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  - accuracy
 
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  model-index:
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  - name: final-lr2e-5-bs16-fp16-2
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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
@@ -14,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # final-lr2e-5-bs16-fp16-2
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- This model is a fine-tuned version of [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4219
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  - F1 Macro: 0.8457
@@ -93,4 +98,4 @@ weighted avg 0.886614 0.887000 0.886800 4000.000 |
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  - Transformers 4.27.0.dev0
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  - Pytorch 1.13.1+cu117
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  - Datasets 2.9.0
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- - Tokenizers 0.13.2
 
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  metrics:
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  - f1
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  - accuracy
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+ base_model: bert-base-uncased
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  model-index:
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  - name: final-lr2e-5-bs16-fp16-2
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  results: []
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+ language:
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+ - en
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+ library_name: transformers
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+ pipeline_tag: text-classification
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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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  # final-lr2e-5-bs16-fp16-2
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+ This model is a fine-tuned version of [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) on an https://github.com/rewire-online/edos dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4219
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  - F1 Macro: 0.8457
 
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  - Transformers 4.27.0.dev0
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  - Pytorch 1.13.1+cu117
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  - Datasets 2.9.0
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+ - Tokenizers 0.13.2