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+# IT 
+## SP30k QRNN nl 4 
+### LM 
+```
+python -m ulmfit lm --dataset-path data/wiki/it-100/ --cuda-id=0 --tokenizer='sp' --nl 4 --name 'nl4' --max-vocab 30000 --lang it --qrnn=True - train 10 --bs=50 --drop_mult=0
+Max vocab: 30000
+Cache dir: data/wiki/it-100/models/sp30k
+Model dir: data/wiki/it-100/models/sp30k/qrnn_nl4.m
+Tokenized data loaded
+Size of vocabulary: 30000
+First 20 words in vocab: ['xxunk', 'xxpad', 'xxbos', 'xxfld', 'xxmaj', 'xxup', 'xxrep', 'xxwrep', '<unk>', '▁', '▁,', '▁.', '▁di', "▁&'", "'", '▁e', '▁il', '▁la', 'e', '▁in']
+Training args:  {'clip': 0.12, 'alpha': 2, 'beta': 1, 'drop_mult': 0} dps:  {'output_p': 0.25, 'hidden_p': 0.1, 'input_p': 0.2, 'embed_p': 0.02, 'weight_p': 0.15}
+Training lm from random weights
+epoch     train_loss  valid_loss  accuracy
+1         3.354224    3.749085    0.350236
+2         3.274838    3.697026    0.351104
+3         3.222462    3.680071    0.352152
+4         3.217652    3.628976    0.357922
+5         3.117965    3.563592    0.364370
+6         3.075397    3.483997    0.372794
+7         3.002098    3.394749    0.383217
+8         2.936974    3.316284    0.393616
+9         2.843549    3.258448    0.401605
+10        2.818070    3.240303    0.404684
+Total time: 10:49:44
+data/wiki/it-100/models/sp30k
+Saving info data/wiki/it-100/models/sp30k/qrnn_nl4.m/info.json
+```
+
+### MLDoc