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Challenging America word-gap prediction
===================================
Guess a word in a gap.
Evaluation metric
-----------------
LikelihoodHashed is the metric

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--metric PerplexityHashed --precision 2 --in-header in-header.tsv --out-header out-header.tsv

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epochs: 3
embed_size: 256
device: cuda
vocab_size: 35000
batch_size: 3200
learning_rate: 0.001
k: 15
wildcard_minweight: 0.01
beta: 0.85

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description: zad8, trigram with left/right context embeddings
tags:
- neural-network
- left-to-right
params:
epochs: 3
learning-rate: 0.0003
vocab-size: 20000
batch_s: 3200
top_k_words: 20
param-files:
- config/*.yaml
links:
- repo: "https://git.wmi.amu.edu.pl/s470618/challenging-america-word-gap-prediction"

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FileId Year LeftContext RightContext
1 FileId Year LeftContext RightContext

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Word
1 Word

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