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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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should probably proofread and complete it, then remove this comment. -->
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# mlm_final
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on
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It achieves the following results on the evaluation set:
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- Loss: 4.0700
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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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results: []
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# mlm_final
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on a custom dataset using the Digital Image Processing textbook (Gonzalez and Woods, 2018).
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It achieves the following results on the evaluation set, which used the Fundamentals of Digital Image Processing textbook (Solomon and Breckon, 2010):
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- Loss: 4.0700
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- Perplexity: 58.6
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## Model description
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This model is trained using Masked Language Modelling.
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## Intended uses & limitations
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This model is intended for use within the field of Computer Vision, as is trained using a Computer Vision textbook.
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## Training and evaluation data
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It is trained and validated using computer vision textbooks split into chunks of 512 tokens
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## Training procedure
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