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README.md
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# t5-base-DreamBank-Generation-NER-Char
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the DremBan dataset to detect
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which characters are present in a given report
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were associated.
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It achieves the following results on the evaluation set:
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- Loss: 0.4674
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# t5-base-DreamBank-Generation-NER-Char
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the DremBan dataset to detect
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which characters are present in a given report, following the [Hall & Van de Castle](https://dreams.ucsc.edu/Coding/) (HVDC) framework. Please note that, during training:
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i) it was not specified to which features the characters were associated with; ii) in accordance with the HVDC system, the presence of the dreamer is not assessed.
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It achieves the following results on the evaluation set:
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- Loss: 0.4674
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