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--- |
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language: |
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- en |
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dataset_info: |
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features: |
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- name: prompt |
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dtype: string |
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- name: completion |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 3111855.6398965064 |
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num_examples: 2000 |
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- name: validation |
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num_bytes: 311390.6933457422 |
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num_examples: 200 |
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- name: test |
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num_bytes: 311850.6638180986 |
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num_examples: 200 |
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download_size: 1739330 |
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dataset_size: 3735096.9970603473 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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--- |
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This dataset was designed for the fine-tune of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) using GRPO. |
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It is designed to summarize Reddit posts. |
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You can reproduce this training using this [colab notebook](https://colab.research.google.com/drive/13mRqgRIvMGGgkQfJL4CS0lzcL4Vl9xUN?usp=sharing). It takes about 40 minutes to train the model. |
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