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Diffstat (limited to 'dtrain/README.md')
| -rw-r--r-- | dtrain/README.md | 62 |
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diff --git a/dtrain/README.md b/dtrain/README.md index d78dc100..32dafade 100644 --- a/dtrain/README.md +++ b/dtrain/README.md @@ -336,3 +336,65 @@ ioh: 4 when does overfitting begin? +--- +Variables + k 100..1500 higher better + N 3/4 + learning rate + reg/gamma + epochs -> best on devtest (10..30) (select_weights) + scorer -> approx_bleu correlates ok (stupid bleu, bleu, smooth bleu) + sample from -> kbest | forest + filter -> no uniq (kbest) + pair sampling -> all 5050 108010 PRO alld + update_ok -> update towards correctly ranked + features + 6x tm + 2x lm + wp + Glue + rule ids + rule ngrams + rule shape + span features + + +PRO + k = 1500 + N = 4 + learning rate = 0.0005 + gamma = 0 + epochs = 30 + scorer = stupid bleu (Bleu+1) + sample from = kbest + filter = no + pair sampling = PRO + update_ok + features = base + +cur: + shard_sz 500 1k 3k + PRO with forest sampling + PRO w/o update_ok + tune learning rate + all with discard (not only top 50) + filter kbest uniq? + + -> repeat most on Tset, lXlX stuff + -> PRO approx bleu + -> tune gamma + -> best pair sampling method + -> reduce k? + => scorer => approx_bleu (test w PRO) + -> PRO on training set + -> PRO more features + -> discard + 108010 + + + +-- +forest vs kbest count vocab? +108010 select discard +approx bleu + + |