Created
October 25, 2016 19:15
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How to run SPINN Chainer
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| $ cd path/to/spinn/checkpoints | |
| $ export PYTHONPATH=$PYTHONPATH:../python | |
| $ python -m spinn.models.fat_classifier \ | |
| --batch_size 32 \ | |
| --ckpt_path rnn_scratch_6.ckpt_best \ | |
| --connect_tracking_comp \ | |
| --data_type snli \ | |
| --embedding_data_path ../python/spinn/tests/test_embedding_matrix.5d.txt \ | |
| --embedding_keep_rate 0.9 \ | |
| --eval_data_path ../snli_1.0/snli_1.0_dev.jsonl \ | |
| --eval_seq_length 25 \ | |
| --experiment_name rnn_scratch_6 \ | |
| --log_path ../logs \ | |
| --model_dim 10 \ | |
| --model_type SPINN \ | |
| --seq_length 25 \ | |
| --training_data_path ../snli_1.0/snli_1.0_dev.jsonl \ | |
| --word_embedding_dim 5 \ | |
| --eval_interval_steps 100 \ | |
| --eval_data_limit 1000 |
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