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  model-index:
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  - name: GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM
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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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  # GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM
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- This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
 
 
 
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  - Loss: 3.2013
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  - Transformers 4.42.4
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM
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  results: []
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+ datasets:
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+ - Maximofn/short-jokes-dataset
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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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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  # GPT2-small-finetuned-Maximofn-short-jokes-dataset-casualLM
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+ This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on [Maximofn/short-jokes-dataset](https://huggingface.co/datasets/Maximofn/short-jokes-dataset) dataset.
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  It achieves the following results on the evaluation set:
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+ It is the result of the post [Fine tunning SML](https://maximofn.com/fine-tuning-sml/)
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+
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  - Loss: 3.2013
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  ## Model description
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+ This model generated english jokes
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  ## Intended uses & limitations
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+ Text generation, english jokes
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  ## Training and evaluation data
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+ It is training on [Maximofn/short-jokes-dataset](https://huggingface.co/datasets/Maximofn/short-jokes-dataset) dataset.
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  ## Training procedure
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  - Transformers 4.42.4
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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+ - Tokenizers 0.19.1