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README.md
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README.md
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Challenging America word-gap prediction
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===================================
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Guess a word in a gap.
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Evaluation metric
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-----------------
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LikelihoodHashed is the metric
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config.txt
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--metric PerplexityHashed --precision 2 --in-header in-header.tsv --out-header out-header.tsv
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config/params.yaml
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config/params.yaml
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epochs: 3
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embed_size: 256
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device: cuda
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vocab_size: 35000
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batch_size: 3200
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learning_rate: 0.001
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k: 15
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wildcard_minweight: 0.01
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beta: 0.85
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dev-0/expected.tsv
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dev-0/expected.tsv
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dev-0/hate-speech-info.tsv
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dev-0/hate-speech-info.tsv
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dev-0/in.tsv.xz
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dev-0/out.tsv
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filename.pickle
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gonito.yaml
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description: zad8, trigram with left/right context embeddings
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tags:
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- neural-network
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- left-to-right
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params:
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epochs: 3
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learning-rate: 0.0003
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vocab-size: 20000
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batch_s: 3200
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top_k_words: 20
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param-files:
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- config/*.yaml
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links:
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- repo: "https://git.wmi.amu.edu.pl/s470618/challenging-america-word-gap-prediction"
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in-header.tsv
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FileId Year LeftContext RightContext
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model-hexa-bag-following-bs3200-lr0.001embed256.bin
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out-header.tsv
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Word
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test-A/hate-speech-info.tsv
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test-A/hate-speech-info.tsv
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test-A/in.tsv.xz
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test-A/out.tsv
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test-A/out.tsv
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train/expected.tsv
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train/expected.tsv
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train/hate-speech-info.tsv
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train/hate-speech-info.tsv
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zad9.ipynb
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zad9.ipynb
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