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README.md
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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
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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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## Intended uses & limitations
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## Training and evaluation data
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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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- 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
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