Datasets:

HuggingFaceFW
/

fineweb-edu

Tasks:

Text Generation

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thomwolf HF staff commited on Jun 3

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@@ -496,7 +496,7 @@ We also experimented with different LLMs: Llama3-70B-Instruct, Mixtral-8x-7B-Ins
 ### Classifier training
 We fine-tuned a Bert-like regression model using these annotations, based on [Snowflake-arctic-embed](https://huggingface.co/Snowflake/snowflake-arctic-embed-m). When converted to a binary classification  using a score of 3 as a threshold for keeping and removing files, the model achieved an F1 score of 82%. The classification of FineWeb 15T tokens took 6k H100 GPU hours.
-The classifier is available at: [https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier/](HuggingFaceFW/fineweb-edu-classifier/)
 ### Filtering and results
 **Note**: You can find more details about the ablations and results in the FineWeb [blog post](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1).

 ### Classifier training
 We fine-tuned a Bert-like regression model using these annotations, based on [Snowflake-arctic-embed](https://huggingface.co/Snowflake/snowflake-arctic-embed-m). When converted to a binary classification  using a score of 3 as a threshold for keeping and removing files, the model achieved an F1 score of 82%. The classification of FineWeb 15T tokens took 6k H100 GPU hours.
+The classifier is available at: [HuggingFaceFW/fineweb-edu-classifier/](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier/)
 ### Filtering and results
 **Note**: You can find more details about the ablations and results in the FineWeb [blog post](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1).