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keras-language-modeling/results.notes
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2016-05-03 12:28:12 -04:00

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Best results achieved for each model:
Embedding + Max Pooling:
- Top 1 Precision:
- 0.492 on test 1
- 0.483 on test 2
- 0.495 on dev
- MRR:
- 0.624 on test 1
- 0.611 on test 2
- 0.624 on dev
Dense + CNN + Max Pooling:
- Top 1 precision:
- 0.507 on test 1
- 0.427 on test 2
- 0.470 on dev
- MRR:
- 0.635 on test 1
- 0.557 on test 2
- 0.596 on dev
Attentional LSTM + Max Pooling:
- Top 1 precision:
- 0.480 on test 1
- 0.465 on test 2
- 0.487 on dev
- MRR:
- 0.627 on test 1
- 0.613 on test 2
- 0.635 on dev