| experiment_name: 'NER' | |
| run: > | |
| python -u local_execute_flair.py {checkpoint} | |
| setup: slurm_virtual_env | |
| type_: gpu | |
| model_params: | |
| nlayers: 1 | |
| hidden_size: 256 | |
| task: | |
| tag_type: 'NER' | |
| data_set: 'conll03' | |
| embeddings: | |
| char_lm: 'data/embeddings/news-forward--h2048-l1-d0.05-grow/epoch_8.pt+data/embeddings/news-backward--h2048-l1-d0.05-grow/epoch_8.pt' | |
| charlm_type: 'normal' | |
| word: 'glove' | |
| char: False | |
| elmo: '' | |
| network: | |
| name: 'epoch_8' | |
| mode: 'nodrop' | |
| learning_params: | |
| learning_rate: 0.1 | |
| mini_batch_size: 32 | |
| anneal_factor: 0.5 | |
| patience: 3 | |
| anneal_with_restarts: False | |
| use_dropout: 0.0 | |
| use_word_dropout: 0.05 | |
| use_locked_dropout: 0.5 |